The following lists only preprints without a corresponding final revised paper.
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30 Apr 2025
Satellite-based regional Sea Surface Salinity maps for enhanced understanding of freshwater fluxes in the Southern Ocean
Verónica González-Gambau, Estrella Olmedo, Aina García-Espriu, Cristina González-Haro, Antonio Turiel, Carolina Gabarró, Alessandro Silvano, Aditya Narayanan, Alberto Naveira-Garabato, Rafael Catany, Nina Hoareau, Marta Umbert, Giuseppe Aulicino, Yuri Cotroneo, Roberto Sabia, and Diego Fernández-Prieto
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-212, https://doi.org/10.5194/essd-2025-212, 2025
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This paper introduces a new Sea Surface Salinity product for the Southern Ocean, based on SMOS data and developed by the Barcelona Expert Center. It offers 9-day maps on a 25 km EASE-SL grid, from 2011 to 2023, covering areas south of 30° S. The product is accurate beyond 150 km from sea ice, with nearly zero bias and a ~0.22 STD. It tracks well seasonal and interannual changes and will contribute to the understanding of processes influenced by upper-ocean salinity, including ice formation/melt.
29 Apr 2025
Global long-term hourly 9 km terrestrial water-energy-carbon fluxes (FluxHourly)
Qianqian Han, Yijian Zeng, Yunfei Wang, Fakhereh Sarah Alidoost, Francesco Nattino, Yang Liu, and Bob Su
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-183, https://doi.org/10.5194/essd-2025-183, 2025
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Understanding how land interacts with the atmosphere is crucial for studying climate change, yet global high-resolution data on energy, water, and carbon exchanges remain limited. This study introduces a new dataset that estimates these exchanges hourly from 2000 to 2020 by combining physical process model, field measurements, and machine learning with satellite and meteorological data. Our dataset provides valuable insights into how ecosystems respond to climate extremes worldwide.
29 Apr 2025
Capacity Building Enables Unique Near-Fault Observations of the destructive 2025 Mw 7.7 Myanmar Earthquake
Ssu-Ting Lai, Kyaw Moe Oo, Yin Myo Min Htwe, Tin Yi, Htay Htay Than, Oo Than, Zaw Min, Tun Minn Oo, Phyo Maung Maung, Dino Bindi, Fabrice Cotton, Peter L. Evans, Andres Heinloo, Laura Hillmann, Joachim Saul, Christoph Sens-Schoenfelder, Angelo Strollo, Frederik Tilmann, Graeme Weatherill, Ming-Hsuan Yen, Riccardo Zaccarelli, Thomas Zieke, and Claus Milkereit
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-216, https://doi.org/10.5194/essd-2025-216, 2025
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On March 28, 2025, Myanmar was struck by a destructive Mw 7.7 earthquake. We present detailed information on the data and metadata availability for station NPW, the only local strong-motion station located near the Sagaing Fault that recorded the mainshock without saturation. We also highlight the collaborative effort that made the installation of NPW possible. The high-quality recordings from NPW offer critical insights for seismic hazard assessment in the region.
28 Apr 2025
Long-term plankton and environmental monitoring dataset from the Marine Protected Area of the Iroise Marine Natural Park (2010–2023) in the Iroise Sea, North Atlantic
Laetitia Drago, Caroline Cailliau, Patrick Pouline, Beatriz Beker, Laëtitia Jalabert, Jean-Baptiste Romagnan, and Sakina-Dorothée Ayata
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-207, https://doi.org/10.5194/essd-2025-207, 2025
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This study presents a long-term monitoring dataset (2010–2023) from the Iroise Marine Natural Park, a French marine protected area in the NE Atlantic. It includes environmental parameters (temperature, salinity), microscopy-based phytoplankton counts and zooplankton abundances and biovolumes estimated from imaging data. Two transects and three coastal stations were sampled seasonally, capturing spatial-temporal dynamics. This datasets offers new opportunities to study plankton diversity.
28 Apr 2025
Development of the Long-term Harmonized multi-satellite SIF (LHSIF) dataset at 0.05° resolution (1995–2023)
Chu Zou, Shanshan Du, Xinjie Liu, and Liangyun Liu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-94, https://doi.org/10.5194/essd-2025-94, 2025
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Understanding plant sunlight absorption is crucial for tracking global ecosystem health. We developed a 1995–2023 dataset that enhances satellite-based plant activity measurements by resolving data inconsistencies and improving resolution. Using advanced modeling, we harmonized signals from multiple satellites, cutting errors by 45 %. This offers clearer global photosynthesis trends, aiding climate research and vegetation monitoring.
25 Apr 2025
A long-term dataset of debris-flow and hydrometeorological observations from 1961 to 2024 at Jiangjia Ravine, China
Li Wei, Dongri Song, Peng Cui, Lijun Su, Gordon G. D. Zhou, Kaiheng Hu, Fangqiang Wei, Yong Hong, Guoqiang Ou, Jun Zhang, Zhicheng Kang, Xiaojun Guo, Wei Zhong, Xiaoyu Li, Yaonan Zhang, and Hui Tang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-190, https://doi.org/10.5194/essd-2025-190, 2025
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This research presents a unique debris flow dataset over 64 years (1961–2024) at Jiangjia Ravine, Dongchuan, Yunnan, China. The dataset includes detailed measurements of debris-flow kinematic parameters (velocity, depth, discharge), physical-mechanical properties (particle size, yield stress, viscosity), seismic data, and hydrometeorological records (minute-by-minute rainfall, soil moisture, et al.). The dataset is publicly accessible via the National Cryosphere Desert Data Center (NCDC).
25 Apr 2025
A large-scale image-text dataset benchmark for farmland segmentation
Chao Tao, Dandan Zhong, Weiliang Mu, Zhuofei Du, and Haiyang Wu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-184, https://doi.org/10.5194/essd-2025-184, 2025
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We construct FarmSeg-VL, the first high-quality image-text dataset for farmland segmentation. It covers eight agricultural regions across four seasons in China, offering extensive spatiotemporal coverage and fine-grained annotations. This dataset fills the gap in remote sensing image-text datasets for farmland, alleviates the challenge of spatiotemporal heterogeneity in farmland segmentation, and provides valuable data to support large-scale farmland monitoring and mapping.
24 Apr 2025
Differences in anthropogenic greenhouse gas emissions estimates explained
William Lamb, Robbie Andrew, Matthew Jones, Zebedee Nicholls, Glen Peters, Chris Smith, Marielle Saunois, Giacomo Grassi, Julia Pongratz, Steven Smith, Francesco Tubiello, Monica Crippa, Matthew Gidden, Pierre Friedlingstein, Jan Minx, and Piers Forster
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-188, https://doi.org/10.5194/essd-2025-188, 2025
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This study explores why global greenhouse gas (GHG) emissions estimates vary. Key reasons include different coverage of gases and sectors, varying definitions of anthropogenic land use change emissions, and the Paris Agreement not covering all emission sources. The study highlights three main ways emissions data is reported, each with different objectives and resulting in varying global emission totals. It emphasizes the need for transparency in choosing datasets and setting assessment scopes.
23 Apr 2025
Harmonised boundary layer wind profile dataset from six ground-based doppler wind lidars in a transect across Paris, France
William Morrison, Dana Looschelders, Jonnathan Céspedes, Bernie Claxton, Marc-Antoine Drouin, Jean-Charles Dupont, Aurélien Faucheux, Martial Haeffelin, Christopher C. Holst, Simone Kotthaus, Valéry Masson, James McGregor, Jeremy Price, Matthias Zeeman, Sue Grimmond, and Andreas Christen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-167, https://doi.org/10.5194/essd-2025-167, 2025
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We conducted research using sophisticated wind sensors to better understand wind patterns in Paris. By installing these sensors across the city, we gathered detailed data on wind speeds and directions from 2022 to 2024. This information helps improve weather and climate models, making them more accurate for city environments. Our findings offer valuable insights for scientists studying urban air and weather, improving predictions and understanding of city-scale atmospheric processes.
22 Apr 2025
An operational SMOS soil freeze-thaw product
Kimmo Rautiainen, Manu Holmberg, Juval Cohen, Arnaud Mialon, Mike Schwank, Juha Lemmetyinen, Antonio de la Fuente, and Yann Kerr
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-68, https://doi.org/10.5194/essd-2025-68, 2025
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The SMOS Soil Freeze Thaw State product uses satellite data to monitor seasonal soil freezing and thawing globally, with a focus on high latitude regions. This is important for understanding greenhouse gas emissions, as frozen soil is associated with methane release. The product provides accurate data on key events such as the first day of soil freezing in autumn, helping scientists to study climate change, ecosystem dynamics and its impact on our planet.
22 Apr 2025
The 10m-resolution global leaf chlorophyll content product using Sentinel-2 based on chlorophyll sensitive index CSI
Hu Zhang, Jing Li, Chenpeng Gu, Li Guan, Xiaohan Wang, Faisal Mumtaz, Yadong Dong, Jing Zhao, Qinhuo Liu, Shangrong Lin, and Wentao Yu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-42, https://doi.org/10.5194/essd-2025-42, 2025
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The 10m-resolution MuSyQ Global LCC has high accuracy in the validation using the ground measurements and can describe more spatial details compared with the current low-resolution LCC product, suggesting its potential in crop and forestry monitoring. We developed an online application that allows users to independently select regions of interest, time ranges, and spatial-temporal resolutions to generate their customized LCC products.
17 Apr 2025
The complete 3-year dataset of 4STAR sky-scans from ORACLES 2016–2018
Logan Thomas Mitchell, Connor J. Flynn, Kristina Pistone, Samuel E. LeBlanc, K. Sebastian Schmidt, and Jens Redemann
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-31, https://doi.org/10.5194/essd-2025-31, 2025
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During 2016–2018, NASA conducted an airborne field campaign over the Southeast Atlantic Ocean to study biomass burning aerosols emitted from Southern African fires. These aerosols then interact with stratocumulus clouds over the Southeast Atlantic, which is difficult for climate models to account for. Our instrument, 4STAR, determines aerosol radiative properties. A dataset was already created for 2016, but additional quality control was required to address instrument issues for 2017 and 2018.
16 Apr 2025
Dataset of Oil Slicks, Look-Alikes and Remarkable SAR Signatures Obtained from Sentinel-1 Data in the Eastern Mediterranean Sea
Yi-Jie Yang, Suman Singha, Ron Goldman, and Florian Schütte
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-208, https://doi.org/10.5194/essd-2025-208, 2025
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This data descriptor presents a dataset containing oil slicks, look-alikes, and other remarkable ocean phenomena in synthetic aperture radar (SAR) data, which can be used for training oil spill detection methods. It explains the formation of various oceanic phenomena, supported by examples and supporting materials. These insights can help researchers from diverse backgrounds, such as remote sensing, oceanography, and machine learning, to better understand the sources of the signatures.
16 Apr 2025
Hourly precipitation fields at 1 km resolution over Belgium from 1940 to 2016 based on the analog technique
Elke Debrie, Jonathan Demaeyer, and Stéphane Vannitsem
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-149, https://doi.org/10.5194/essd-2025-149, 2025
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In this project, we developed a gridded hourly precipitation dataset for Belgium, covering over 70 years (1940–2016). The data has a spatial resolution of one kilometer, which means it provides highly localized precipitation information. To estimate precipitation for a specific day in the past, we searched for days in the recent radar data period with similar weather patterns, known as the analog method. The median of the produced dataset is available for public use and can be found on Zenodo.
15 Apr 2025
IMAU Antarctic automatic weather station data, including surface radiation balance (1995–2022)
Maurice van Tiggelen, Paul C. J. P. Smeets, Carleen H. Reijmer, Peter Kuipers Munneke, and Michiel R. van den Broeke
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-88, https://doi.org/10.5194/essd-2025-88, 2025
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This paper describes the 154 station-years of in situ measurements from the 19 IMAU automatic weather stations that operated on the Antarctic ice sheet between 1995 and 2022. These stations also recorded all four components of net surface radiation and surface height change, which allows for the quantification of the surface energy-and-mass balance at hourly resolution. This data is invaluable for the evaluation of weather and climate models, and for the detection of climatological changes.
14 Apr 2025
Time series of the summertime diurnal variability in the atmospheric water vapour isotopic composition at Concordia station, East Antarctica
Inès Ollivier, Thomas Lauwers, Niels Dutrievoz, Cécile Agosta, Mathieu Casado, Elise Fourré, Christophe Genthon, Olivier Jossoud, Frédéric Prié, Hans Christian Steen-Larsen, and Amaëlle Landais
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-35, https://doi.org/10.5194/essd-2025-35, 2025
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We present a novel 2.5-month record of the atmospheric water vapour isotopic composition during the austral summer 2023–2024 at Concordia Station on the Antarctic Plateau. We show that two independent laser spectrometers accurately record the diurnal variability of the atmospheric water vapour 𝛿18O, 𝛿D, and d-excess. We compare the measurements against outputs of the isotope-enabled general circulation model LMDZ6-iso to show how the data can be used to evaluate such models.
14 Apr 2025
Spatially adaptive estimation of multi-layer soil temperature at a daily time-step across China during 2010–2020
Xuetong Wang, Liang He, Peng Li, Jiageng Ma, Yu Shi, Qi Tian, Gang Zhao, Jianqiang He, Hao Feng, Hao Shi, and Qiang Yu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-192, https://doi.org/10.5194/essd-2025-192, 2025
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This study developed a high-resolution daily soil temperature dataset across China from 2010 to 2020. By combining ground measurements, satellite observations, and weather data with a machine learning method, we accurately captured the spatial and temporal variations of soil temperature at different depths. The dataset offers a scientific basis for agricultural management and ecological research.
14 Apr 2025
Monitoring CO2 in diverse European cities: Highlighting needs and challenges through characterisation
Ida Storm, Ute Karstens, Claudio D’Onofrio, Alex Vermeulen, Samuel Hammer, Ingrid Super, Theo Glauch, and Wouter Peters
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-63, https://doi.org/10.5194/essd-2025-63, 2025
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Many cities are committed to ambitious CO2 emission reduction targets, supported by climate action plans. Atmospheric measurements are essential to verify that these efforts lead to the expected reductions. Here, we characterize and compare 96 European cities across 18 metrics, linking them to four major challenges in CO2 emissions monitoring. Our framework includes a tool with additional cities and metrics, as well as "mapbooks" for the 96 cities.
11 Apr 2025
A geospatial inventory dataset of study sites in a Korean Quaternary paleoecology database
Soo Hyun Kim and Eunji Byun
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-130, https://doi.org/10.5194/essd-2025-130, 2025
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Site and sample metadata from 328 paleoecological study sites in South Korea were compiled from 66 papers, addressing regional gaps in data availability in recent global data syntheses. The sites reflect the diversity of depositional environments, studied over many years with the development of multi-proxy approaches and regional collaborations. The GeoEcoKorea online platform, developed alongside this dataset, aims to enhance data accessibility and promote FAIR data sharing among researchers.
11 Apr 2025
High resolution acoustic recordings of wild free-ranging short-beaked common dolphins for etho-acoustical and repertoire studies
Loïc Lehnhoff, Hervé Glotin, Yves Le Gall, Eric Menut, Hélène Peltier, Jérôme Spitz, Olivier Van Canneyt, and Bastien Mérigot
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-193, https://doi.org/10.5194/essd-2025-193, 2025
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This article presents the first open-access dataset of wild short-beaked common dolphins recordings. It was collected at sea in the Bay of Biscay (France) and comprises audio recordings of echolocation clicks, whistles and other social sounds, as well as visual observations of dolphin behaviour. This dataset could be used to improve the comprehension of dolphin communication by scientists, which could assist in the development of conservation strategies, particularly with regard to by-catches.
09 Apr 2025
Development of HYPER-P: HYdroclimatic PERformance-enhanced Precipitation at 1 km/daily over the Europe-Mediterranean region from 2007 to 2022
Paolo Filippucci, Luca Brocca, Luca Ciabatta, Hamidreza Mosaffa, Francesco Avanzi, and Christian Massari
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-156, https://doi.org/10.5194/essd-2025-156, 2025
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Accurate rainfall data is essential, yet measuring daily precipitation worldwide is challenging. This research presents HYdroclimatic PERformance-enhanced Precipitation (HYPER-P), a dataset combining satellite, ground, and reanalysis data to estimate precipitation at a 1 km scale from 2000 to 2023. HYPER-P improves accuracy, especially in areas with few rain gauges. This dataset supports scientists and decision-makers in understanding and managing water resources more effectively.
09 Apr 2025
Annual global gridded livestock mapping from 1961 to 2021
Zhenrong Du, Le Yu, Yue Zhao, Xinyue Li, Xiaoxuan Liu, Xiyu Li, Pengyu Hao, Zhongxin Chen, Xiaorui Ma, and Hongyu Wang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-175, https://doi.org/10.5194/essd-2025-175, 2025
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We created the first global maps showing where livestocks have been raised each year from 1961 to 2021. These maps help to see how livestock numbers and locations have changed over time. Using global statistics and satellite data, we built a model to estimate animal numbers at a high resolution (5 km). This work supports better decisions in food security, disease control, and environmental protection around the world.
09 Apr 2025
A Framework for Gridded Estimates of Ammonia Emissions from Agriculture in South Asia
Samuel James Tomlinson, Edward James Carnell, Clare Pearson, Mark A. Sutton, Niveta Jain, and Ulrike Dragosits
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-75, https://doi.org/10.5194/essd-2025-75, 2025
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The release of ammonia into the air poses a serious risk to ecosystems and human health and so it is important to characterise where this polluting gas originates from. It is known that agriculture is an important source of ammonia (e.g. using fertilisers) and that South Asia is a global hotspot of this pollutant. It is, therefore, important to refine methods used to estimate how much ammonia is released in South Asia to be then used in advanced chemistry models for air quality assessments.
08 Apr 2025
CHN-CH4: A Gridded (0.1°×0.1°) Anthropogenic Methane Emission Inventory of China from 1990 to 2020
Fengxiang Guo, Fan Dai, Peng Gong, and Yuyu Zhou
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-178, https://doi.org/10.5194/essd-2025-178, 2025
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China, the world’s largest methane emitter, faces challenges in accurately tracking. CHN-CH4, a map of anthropogenic methane emissions was created by combining satellite data, national statistics, and climate guidelines. Over 30 years, China emitted 1157 Tg of methane, peaking in the 2010s. Shanxi province had the highest emissions. CHN-CH4 helps improve tracking, informs global climate models, and strengthens collaboration between science and policy to combat climate change.
08 Apr 2025
Aerial Estimates of Methane and Carbon Dioxide Emission Rates Using a Mass Balance Approach in New York State
Alexandra M. Catena, Mackenzie L. Smith, Lee T. Murray, Eric M. Leibensperger, Jie Zhang, Margaret J. Schwab, and James J. Schwab
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-135, https://doi.org/10.5194/essd-2025-135, 2025
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Methane and carbon dioxide emission rates were calculated for facilities across several sectors in New York State using aerial observations. Of the sampled facilities, landfills dominated the methane emission rates while combustion facilities had the highest carbon dioxide emission rates, followed by landfills. The self-reported EPA inventory is mostly underestimating landfill methane emissions apart from a few facilities with comparable numbers.
07 Apr 2025
A 30m resolution annual cropland extent dataset of Africa in recent decades of the 21st century
Zihang Lou, Dailiang Peng, Zhou Shi, Hongyan Wang, Yaqiong Zhang, Xue Yan, Zhongxing Chen, Su Ye, Le Yu, Jinkang Hu, Yulong Lv, Hao Peng, Yizhou Zhang, and Bing Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-133, https://doi.org/10.5194/essd-2025-133, 2025
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This study created the first detailed annual maps of Africa's cropland extent from 2000 to 2022 in 30 m resolution to support global efforts against hunger and sustainable farming. Our findings show Africa's cropland grew by 8.5 % over two decade, while 11.5 % of cropland was abandoned by 2018 – revealing hidden challenges in agricultural sustainability. These yearly, field-sized maps help governments track where farming grows or shrinks, plan food supplies, and protect vital cropland.
07 Apr 2025
A Reanalysis-Based Global Tropical Cyclone Tracks Dataset for the Twentieth Century (RGTracks-20C)
Guiling Ye, Jeremy Cheuk-Hin Leung, Wenjie Dong, Jianjun Xu, Weijing Li, Weihong Qian, Hoiio Kong, and Banglin Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-126, https://doi.org/10.5194/essd-2025-126, 2025
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The RGTracks-20C is the first publicly available reanalysis-based TC dataset spanning the whole 20th century and part of the 19th century. We use two independent TC tracking algorithms to detect information of all the TCs from NOAA’s Twentieth Century Reanalysis (20CRv3). By doing so, the RGTracks-20C fills the gaps of incomplete TC track records (TC intensity) in the historical TC observation data (e.g., IBTrACS), addressing the limitations of early-year observed TC data.
07 Apr 2025
Tracking County-level Cooking Emissions and Their Drivers in China from 1990 to 2021 by Ensemble Machine Learning
Zeqi Li, Bin Zhao, Shengyue Li, Zhezhe Shi, Dejia Yin, Qingru Wu, Fenfen Zhang, Xiao Yun, Guanghan Huang, Yun Zhu, and Shuxiao Wang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-104, https://doi.org/10.5194/essd-2025-104, 2025
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This study uses an ensemble machine learning model to predict long-term, high-resolution cooking activity data, establishing China’s first county-level cooking emission inventory spanning 1990–2021. It covers key pollutants such as polycyclic aromatic hydrocarbons. It reveals emissions’ long-term spatiotemporal trends and driving factors, such as population migration and economic growth, offering efficient control strategies. This dataset is crucial for air pollution and health impact studies.
07 Apr 2025
A high-resolution (0.05°) global seamless continuity record (2002–2023) of near-surface soil freeze-thaw states via passive microwave and optical satellite data
Defeng Feng, Tianjie Zhao, Jingyao Zheng, Yu Bai, Youhua Ran, Xiaokang Kou, Lingmei Jiang, Ziqian Zhang, Pei Yu, Jinbiao Zhu, Jie Pan, Jiancheng Shi, and Yuei-An Liou
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-62, https://doi.org/10.5194/essd-2025-62, 2025
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This study introduces a downscaling approach that integrates passive microwave and optical satellite data to generate a long-term (2002–2023), high-resolution (0.05°) global near-surface FT state dataset, ensuring daily seamless continuity. The dataset achieves an overall accuracy of 83.78%, consistent with the microwave-based dataset while offering enhanced spatial detail. This record providing detailed FT information, enhancing the understanding of hydrological and ecological impacts globally.
07 Apr 2025
CLIMADAT-GRid: A high-resolution daily gridded precipitation and temperature dataset for Greece
Konstantinos V. Varotsos, Gianna Kitsara, Anna Karali, Ioannis Lemesios, Platon Patlakas, Maria Hatzaki, Vassilis Tenentes, George Katavoutas, Athanasios Sarantopoulos, Basil Psiloglou, Aristeidis G. Koutroulis, Manolis G. Grillakis, and Christos Giannakopoulos
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-29, https://doi.org/10.5194/essd-2025-29, 2025
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CLIMADAT-GRid is the first, publicly available, daily air temperature and precipitation gridded climate dataset for Greece at a high resolution of 1 km x 1 km and for the period 1981–2019.The dataset is based on quality-controlled station data while various interpolation techniques were evaluated for generating the daily grids. CLIMADAT-GRid serves as a valuable resource for research and information in climate studies as well as in other areas such as hydrology, agriculture, energy and health.
07 Apr 2025
Global Retrieval of 24-hourly Solar-Induced Chlorophyll Fluorescence and Evapotranspiration from OCO-2, OCO-3 and ECOSTRESS over 1982–2022
Zhuoying Deng, Tingyu Li, Jinghua Chen, Shaoqiang Wang, Kun Huang, Peng Gu, Haoyu Peng, and Zhihui Chen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-99, https://doi.org/10.5194/essd-2025-99, 2025
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We developed an efficient retrieval method and produced a long-term global SIF and ET dataset (0.1°, hourly, from 1982 to 2022), which has been validated using global EC flux towers and popular satellite products. Our dataset will provide new insights for monitoring the diurnal variations of carbon and water cycles and deepen our understanding of their changes over the past 40 years.
03 Apr 2025
Data for Modern Soil Chronometry using Fallout Radionuclides
Joshua Landis
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-69, https://doi.org/10.5194/essd-2025-69, 2025
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Understanding rates of environmental change is critical to human and ecological health but is difficult when the processes are too slow or too small to observe directly. To overcome this limitation, we can use natural radioactive elements as virtual 'clocks' to measure change. Here we describe a large number of measurements that have been used to develop soils as clocks or chronometers of change to atmospheric carbon and mercury (Hg) cycles.
03 Apr 2025
In situ cloud surface measurements dataset from four cloud spectrometers during the Pallas Cloud Experiment (PaCE) 2022
Konstantinos Matthaios Doulgeris, Ville Kaikkonen, Harri Juttula, Eero Molkoselkä, Anssi Mäkynen, and David Brus
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-163, https://doi.org/10.5194/essd-2025-163, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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This study presents data collected from ground based cloud instruments that measured cloud droplets during autumn 2022 in northern Finland. The research aimed to improve understanding of how clouds form and behave in cold regions. Measurements were taken directly inside clouds and include information on droplet sizes, water content, and weather conditions. The results support better climate and weather predictions.
03 Apr 2025
Global Source-Receptor-Relationship Database for Integrated Tropospheric Ozone Observations from Multiplatform Datasets in Western North America during 1994–2021
Yu Yan Cui, Ju-Mee Ryoo, Matthew S. Johnson, Kai-Lan Chang, Emma Yates, Owen R. Cooper, and Laura T. Iraci
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-571, https://doi.org/10.5194/essd-2024-571, 2025
Preprint under review for ESSD (discussion: open, 1 comment)
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Atmospheric observations show that free tropospheric ozone has increased across the Northern Hemisphere over the past three decades. The sources driving this increase remain unclear. In this study, we developed a source-receptor relationship database combining harmonized multiplatform ozone data and advanced atmospheric transport modeling. This database can identify emission regions responsible for ozone increases and can also be used to analyze other co-observed atmospheric constituents.
03 Apr 2025
Dataset of airborne measurements of aerosol, cloud droplets and meteorology by tethered balloon during PaCE 2022
Viet Le, Konstantinos Matthaios Doulgeris, Mika Komppula, John Backman, Gholamhossein Bagheri, Eberhard Bodenschatz, and David Brus
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-148, https://doi.org/10.5194/essd-2025-148, 2025
Preprint under review for ESSD (discussion: open, 1 comment)
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This manuscript presents datasets collected during the Pallas Cloud Experiment in northern Finland during the autumn of 2022. We provide an overview of the payload that measured meteorological, cloud, and aerosol properties, and was deployed on tethered balloon systems across 21 flights. Additionally, we describe the datasets obtained, including details of the instruments on the payload.
03 Apr 2025
The Dutch real-time gauge-adjusted radar precipitation product
Aart Overeem, Hidde Leijnse, Mats Veldhuizen, and Bastiaan Anker
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-160, https://doi.org/10.5194/essd-2025-160, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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The Dutch real-time gauge-adjusted radar product provides 5 min precipitation accumulations every 5 min covering the Netherlands and the area around it. It plays a key role in hydrological decision-support systems and as input for short-term weather forecasts. Major changes were implemented on 31 January 2023 and the associated quality improvement is presented. Moreover, the employed radar and rain gauge datasets and the algorithms needed to produce this real-time radar product are described.
02 Apr 2025
The flask monitoring program for high-precision atmospheric measurements of greenhouse gases, stable isotopes, and radiocarbon in the central Amazon region
Carlos A. Sierra, Ingrid Chanca, Meinrat Andreae, Alessandro Carioca de Araújo, Hella van Asperen, Lars Borchardt, Santiago Botía, Luiz Antonio Candido, Caio S. C. Correa, Cléo Quaresma Dias-Junior, Markus Eritt, Annica Fröhlich, Luciana V. Gatti, Marcus Guderle, Samuel Hammer, Martin Heimann, Viviana Horna, Armin Jordan, Steffen Knabe, Richard Kneißl, Jost Valentin Lavric, Ingeborg Levin, Kita Macario, Juliana Menger, Heiko Moossen, Carlos Alberto Quesada, Michael Rothe, Christian Rödenbeck, Yago Santos, Axel Steinhof, Bruno Takeshi, Susan Trumbore, and Sönke Zaehle
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-151, https://doi.org/10.5194/essd-2025-151, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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We present here a unique dataset of atmospheric observations of greenhouse gases and isotopes that provide key information on land-atmosphere interactions for the Amazon forests of central Brazil. The data show a relatively large level of variability, but also important trends in greenhouse gases, and signals from fires as well as seasonal biological activity.
01 Apr 2025
A detailed streamflow and groundwater salinity dataset for Muttama Creek Catchment, NSW, Australia
Rutger Willem Vervoort, Floris van Ogtrop, Mina Tambrchi, Farzina Akter, Alexander Buzacott, Jason Lessels, James Moloney, Dipangkar Kundu, Feike Dijkstra, and Thomas Bishop
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-105, https://doi.org/10.5194/essd-2025-105, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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A detailed water quality dataset for a 1000 km2 catchment in NSW, Australia is presented. The water quality data for surface and groundwater was collected over 14 years and contains more than 1000 records. Despite missing values and different sampling methods and groups, the data provides a consistent overview of the hydrogeochemistry of the catchment. This dataset is valuable for global modelling studies as well as better understanding of local dryland salinity and water quality processes.
31 Mar 2025
Long-Term Monitoring of Hydrological Dynamics and Phytoplankton Biomass Indicator in Three Shellfish Ecosystems of the English Channel (2000–2024)
Julia Sosinski, Stéphanie Petinay, and Jean-Louis Blin
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-155, https://doi.org/10.5194/essd-2025-155, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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This study analyzes 24 years of coastal monitoring in Normandy (Blainville-sur-Mer, Saint-Vaast-la-Hougue, Utah Beach), assessing climate change and human impact. Results show rising winter temperatures since 2013, increasing acidification at Blainville-sur-Mer, and nutrient shifts, with high ammonium in the East and declining phosphates. Nutrient limitations vary by coast. Findings emphasize the need for better nutrient management to sustain ecosystems and aquaculture amid environmental change.
31 Mar 2025
A high spatial resolution dataset of ecosystem services of 2000–2020 in China
Yue Liu, Wenwu Zhao, Zhijie Zhang, Jingyi Ding, and Lixin Wang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-107, https://doi.org/10.5194/essd-2025-107, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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This study integrated the high precision remote sensing data and ground observations to produce 30-meter spatial resolution maps of four key ecosystem services in China – net primary productivity, soil conservation, sandstorm prevention, and water yield – for the years 2000, 2010, and 2020. Through comparison and cross-validation with other data sources, this dataset has been proven to have significant advantages in accuracy and applicability.
31 Mar 2025
Pollen-based reconstruction of spatially-explicit vegetation cover over the Tibetan Plateau since the last deglaciation
Pengchao Zhang, Yi Luo, Dan Liu, Xiaoyi Wang, and Tao Wang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-555, https://doi.org/10.5194/essd-2024-555, 2025
Preprint under review for ESSD (discussion: open, 1 comment)
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Understanding climate-vegetation interactions is key to predicting environmental changes. We reconstructed past vegetation cover on the Tibetan Plateau, a climate-sensitive and ecologically vital region, using machine learning. This spatiotemporal dataset, spanning 16,000 years, reveals vegetation changes and improves understanding of climate dynamics. It also provides crucial data for climate models to simulate past and future impacts, enhancing predictions of vegetation-climate feedbacks.
28 Mar 2025
Tracking vegetation phenology across diverse biomes using Version 3.0 of the PhenoCam Dataset
Adam M. Young, Thomas Milliman, Koen Hufkens, Keith Ballou, Christopher Coffey, Kai Begay, Michael Fell, Mostafa Javadian, Alison K. Post, Christina Schädel, Zakary Vladich, Oscar Zimmerman, Dawn M. Browning, Christopher R. Florian, Minkyu Moon, Michael D. SanClements, Bijan Seyednasrollah, Mark A. Friedl, and Andrew D. Richardson
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-120, https://doi.org/10.5194/essd-2025-120, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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Here, we describe the PhenoCam V3.0 public data release. The PhenoCam Network characterizes vegetation phenology in ecosystems across the US and around the world using repeat digital photography. This V3.0 release includes new additions to the data records (e.g., camera NDVI and simplified data sets) and provides >4800 site years of phenological time series and transition dates, a 170% increase relative to the previous data release (V2.0). Over 450 of the time series are 5 y or longer in length.
28 Mar 2025
P-LSHv2: a multi-decadal global daily land surface actual evapotranspiration dataset enhanced with explicit soil moisture constraints in remote sensing retrieval
Jin Feng, Ke Zhang, Lijun Chao, Huijie Zhan, and Yunping Li
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-137, https://doi.org/10.5194/essd-2025-137, 2025
Preprint under review for ESSD (discussion: open, 9 comments)
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Understanding how soil moisture affects evapotranspiration (ET) is essential for improving ET estimates. However, many global ET datasets overlook soil moisture constraints, causing large uncertainties. In this study, we developed an improved model that better captures the influence of soil moisture on vegetation and soil evaporation. Our model significantly improves ET estimation accuracy and provides a new long-term global ET dataset to support water cycle and climate research.
27 Mar 2025
A comprehensive integrated macroseismic dataset from multiple earthquake studies
Andrea Tertulliani, Andrea Antonucci, Filippo Bernardini, Viviana Castelli, Emanuela Ercolani, Laura Graziani, Alessandra Maramai, Martina Orlando, Antonio Rossi, and Tiziana Tuvè
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-10, https://doi.org/10.5194/essd-2025-10, 2025
Preprint under review for ESSD (discussion: open, 2 comments)
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We present the results of a rapid and reliable study of 45 Italian earthquakes and characterized by datasets with potential inconsistencies or inhomogeneities. The used methodology obviates the need for exhaustive earthquake re-evaluation, and it is particularly effective for the updating of medium-low events, with a large number of low-intensity data. The result is a new dataset very useful to improve “seismic histories” and to contribute to enhance the seismic hazard of an area.
26 Mar 2025
LARA: a Lagrangian Reanalysis based on ERA5 spanning from 1940 to 2023
Lucie Bakels, Michael Blaschek, Marina Dütsch, Andreas Plach, Vincent Lechner, Georg Brack, Leopold Haimberger, and Andreas Stohl
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-26, https://doi.org/10.5194/essd-2025-26, 2025
Preprint under review for ESSD (discussion: final response, 2 comments)
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Meteorological reanalyses are crucial datasets. Most reanalyses are Eulerian, providing data at specific, fixed points in space and time. When studying how air moves, it is more convenient to follow air masses through space and time, requiring a Lagrangian reanalysis (LARA). We explain how the LARA dataset is organized, and provide four examples of applications. These include studying the evolution of wind patterns, understanding weather systems, and measuring air mass travel time over land.
26 Mar 2025
SHEDIS-Temperature: Linking temperature-related disaster impacts to subnational data on meteorology and human exposure
Sara Lindersson and Gabriele Messori
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-128, https://doi.org/10.5194/essd-2025-128, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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The study of past temperature-related disasters requires information on socioeconomic impacts, hazard intensity and human exposure. This is often lacking in current disaster databases. SHEDIS-Temperature fills this gap by integrating impact records with information on disaster locations, high-resolution meteorological data, and population estimates. Covering 382 disasters in 71 countries (1979–2018), this dataset enables deeper analyses of heat-related risk and vulnerabilities.
26 Mar 2025
Multi-tool dataset on Northern Eurasian Riverbank Migration (NERM)
Sergey R. Chalov, Victor Ivanov, Danila Shkolnyi, Ekaterina Pavlyukevich, Michal Habel, Dmitry Botavin, Aleksandra Chalova, Pavel Golovlev, Arseny Kamyshev, Roman Kolesnikov, Uliana Koneva, Anna Kurakova, Nadezda Mikhailova, Elizaveta Tuzova, Kristina Prokopeva, Aleksandr Zavadsky, Rituparna Acharyya, Roman S. Chalov, Aleksandr Varenov, Leonid Turykin, Anna Tarbeeva, and Daidu Fan
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-150, https://doi.org/10.5194/essd-2025-150, 2025
Preprint under review for ESSD (discussion: open, 1 comment)
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This study presents a unique multi-tool dataset on riverbank migration across Northern Eurasia, covering 140,000 km of river channels over a period of up to 70 years. Using satellite imagery and field observations, we identify key drivers of bank erosion in large spatial scale and highlight role of river discharge and permafrost. The dataset enhances understanding of river channel dynamics and supports the development of predictive models for river channel evolution and erosion risk assessment.
26 Mar 2025
Dynamics of China’s Forest Carbon Storage: The First 30 m Annual Aboveground Biomass Mapping from 1985 to 2023
Yaotong Cai, Peng Zhu, Xing Li, Xiaoping Liu, Yuhe Chen, Qianhui Shen, Xiaocong Xu, Honghui Zhang, Sheng Nie, Cheng Wang, Jia Wang, Bingjie Li, Changjiang Wu, and Haoming Zhuang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-96, https://doi.org/10.5194/essd-2025-96, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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China’s forests play a crucial role in storing carbon and mitigating climate change, yet long-term, high-resolution data on their biomass have been limited. We developed a 30-m annual forest aboveground biomass dataset from 1985 to 2023 using satellite data and deep learning. Our results reveal significant biomass gains, regional variations, and the impact of forest policies. This dataset provides valuable insights for climate research, conservation planning, and sustainable forest management.
25 Mar 2025
Generation of global 1 km daily land surface – air temperature difference and sensible heat flux products from 2000 to 2020
Hui Liang, Shunlin Liang, Bo Jiang, Tao He, Feng Tian, Jianglei Xu, Wenyuan Li, Fengjiao Zhang, and Husheng Fang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-136, https://doi.org/10.5194/essd-2025-136, 2025
Preprint under review for ESSD (discussion: open, 1 comment)
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This paper describes 1 km daily mean land surface sensible heat flux (H) and land surface – air temperature difference (Tsa) datasets on the global scale during 2000–2020. The datasets were developed using a data-driven approach and rigorously validated against in situ observations and existing H and Tsa datasets, demonstrating both high accuracy and exceptional spatial resolution.
25 Mar 2025
A full year of continuous net soil and ditch CO2, CH4, N2O fluxes, soil hydrology and meteorology for a drained fen in Denmark
Annelie Skov Nielsen, Klaus Steenberg Larsen, Poul Erik Lærke, Andres Felipe Rodriguez, Johannes W. M. Pullens, Rasmus Jes Petersen, and Jesper Riis Christiansen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-123, https://doi.org/10.5194/essd-2025-123, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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Quantifying greenhouse gas emissions from wetlands are a crucial for improved climate mitigation. Our data of CO2, CH4, and N2O fluxes, measured with a high-precision system, shows that the exchange with the atmosphere is surprisingly dynamic over time and space where both long and short-term fluctuations of temperature and groundwater collectively shape both monthly to hourly scales. These data helps us important for our fundamental understanding, but also in developing models.
24 Mar 2025
Hydrodynamic and Atmospheric Conditions in a Volcanic Caldera: A Comprehensive Dataset at Deception Island, Antarctica
Francesco Ferrari, Carmen Zarzuelo, Alejandro López-Ruiz, and Andrea Lira-Loarca
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-92, https://doi.org/10.5194/essd-2025-92, 2025
Preprint under review for ESSD (discussion: open, 1 comment)
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This study presents a high-resolution, open-access dataset for Deception Island, Antarctica, covering 2005–2020. Using WRF and DELFT3D models, it includes 161 atmospheric variables (e.g., wind, precipitation, pressure) and hydrodynamic data (e.g., sea surface height, currents, wave height). Capturing spatial, seasonal, and extreme event variability, it enhances understanding of Antarctic coastal dynamics, supporting research on glacial melt, nutrient transport, and climate change impacts.
21 Mar 2025
In situ-measured benthic fluxes of dissolved inorganic phosphorus in the Baltic Sea
Astrid Hylen, Nils Ekeroth, Hannah Berk, Andy W. Dale, Mikhail Kononets, Wytze K. Lenstra, Aada Palo, Anders Tengberg, Sebastiaan J. van de Velde, Stefan Sommer, Caroline P. Slomp, and Per O. J. Hall
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-146, https://doi.org/10.5194/essd-2025-146, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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Phosphorus is an essential element for life and its cycling strongly impact primary production. Here, we present a dataset of sediment-water fluxes of dissolved inorganic phosphorus from the Baltic Sea, an area with a long history of eutrophication. The fluxes were measured in situ with three types of benthic chamber landers at 59 stations over 20 years. The data show clear spatial patterns and will be important for marine management and studies on mechanisms in benthic phosphorus cycling.
20 Mar 2025
GLC_FCS10: a global 10-m land-cover dataset with a fine classification system from Sentinel-1 and Sentinel-2 time-series data in Google Earth Engine
Xiao Zhang, Liangyun Liu, Tingting Zhao, Wenhan Zhang, Linlin Guan, Ming Bai, and Xidong Chen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-73, https://doi.org/10.5194/essd-2025-73, 2025
Preprint under review for ESSD (discussion: final response, 2 comments)
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This work describes a novel global 10 m land-cover dataset with fine classification system, which contains 30 land-cover subcategories and achieves the fulfilling performance over the globe.
19 Mar 2025
An ensemble-based coupled reanalysis of the climate from 1860 to the present (CoRea1860+)
Yiguo Wang, François Counillon, Lea Svendsen, Ping-Gin Chiu, Noel Keenlyside, Patrick Laloyaux, Mariko Koseki, and Eric de Boisseson
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-127, https://doi.org/10.5194/essd-2025-127, 2025
Preprint under review for ESSD (discussion: open, 2 comments)
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CoRea1860+ is a new climate dataset that reconstructs past climate conditions from 1860 to today. By using advanced modeling techniques and incorporating sea surface temperature observations, it provides a consistent picture of long-term climate variability. The dataset captures key ocean, sea ice and atmosphere changes, helping scientists understand past climate changes and variability.
18 Mar 2025
Low-level atmospheric turbulence dataset in China generated by combining radar wind profiler and radiosonde observations
Deli Meng, Jianping Guo, Juan Chen, Xiaoran Guo, Ning Li, Yuping Sun, Zhen Zhang, Na Tang, Hui Xu, Tianmeng Chen, Rongfang Yang, and Jiajia Hua
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-138, https://doi.org/10.5194/essd-2025-138, 2025
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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This study provides a high-resolution dataset of low-level atmospheric turbulence across China, using radar and weather balloon observations. It reveals regional and seasonal variations in turbulence, with stronger activity in spring and summer. The dataset supports weather forecasting, aviation safety, and low-altitude flight planning, aiding China’s growing low-altitude economy and accessible at https://doi.org/10.5281/zenodo.14959025.
17 Mar 2025
CRA-LICOM: A global high-frequency atmospheric and oceanic temporal gravity field product (2002–2024)
Fan Yang, Jiahui Bai, Hailong Liu, Weihang Zhang, Yi Wu, Shuhao Liu, Chunxiang Shi, Tao Zhang, Min Zhong, Zitong Zhu, Changqing Wang, Ehsan Forootan, Jiangfeng Yu, Zipeng Yu, and Yun Xiao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-81, https://doi.org/10.5194/essd-2025-81, 2025
Preprint under review for ESSD (discussion: open, 1 comment)
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We introduce China’s first de-aliasing computation platform, incorporating China’s Atmospheric Reanalysis and an in-house ocean circulation model. This platform produces CRA-LICOM, a high-frequency atmospheric and oceanic gravity de-aliasing product with a 6-hourly, 50 km resolution covering 2002–2024 globally. This product is reliable for de-aliasing, signal separation in satellite gravity missions, and climate change studies.
17 Mar 2025
Mexico's High Resolution Climate Database (MexHiResClimDB): a new daily high-resolution gridded climate dataset for Mexico covering 1951–2020
Jaime J. Carrera-Hernández
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-100, https://doi.org/10.5194/essd-2025-100, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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Mexico's High Resolution Database (MexHiResClimDB) provides gridded, high-resolution data (600 m) of daily, monthly and yearly precipitation and Tmin, Tmax, Tavg for the 1951–2020 period. With this new database it was possible to summarize extreme events of precipitation and temperature in Mexico and to show that there is an undeniable warming trend in Mexico; however, further studies are needed in order to pinpoint the areas where climate change is having a profound impact.
17 Mar 2025
Subsets of geostationary satellite data over international observing network sites for studying the diurnal dynamics of energy, carbon, and water cycles
Hirofumi Hashimoto, Weile Wang, Taejin Park, Sepideh Khajehei, Kazuhito Ichii, Andrew Michaelis, Alberto Guzman, Ramakrishna Nemani, Margaret Torn, Koong Yi, and Ian Brosnan
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-33, https://doi.org/10.5194/essd-2025-33, 2025
Preprint under review for ESSD (discussion: open, 2 comments)
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We create the GeoNEX Coincident Ground Observations dataset (GeCGO) by extracting point data at observational network sites across Americas from the gridded GeoNEX products. The GeoNEX dataset is the high temporal frequent dataset of the latest geostationary satellites observations. We also release the software, GeoNEXTools, that helps handling the GeCGO data. GeCGO data and GeoNEXTools could help scientists use geostationary satellite data at their interested ground observational sites.
13 Mar 2025
Airborne measurements of turbulence and cloud microphysics during PaCE 2022 using the Advanced Max Planck CloudKite Instrument (MPCK+)
Oliver Schlenczek, Freja Nordsiek, Claudia E. Brunner, Venecia Chávez-Medina, Birte Thiede, Eberhard Bodenschatz, and Gholamhossein Bagheri
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-112, https://doi.org/10.5194/essd-2025-112, 2025
Preprint under review for ESSD (discussion: final response, 2 comments)
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During the Pallas Cloud Experiment (PaCE) in Finland (Sept. 19–26, 2022), the Advanced Max Planck CloudKite instrument (MPCK+) gathered turbulence, wind shear, and cloud data from 0–1200 m. Flights lasted 1.5–3 hours, capturing droplet concentrations and size distributions at high resolution (<10 m spacing). The dataset aids studies of Arctic boundary layer clouds above freezing temperatures. This paper details the data collection, structure, and user guidelines.
13 Mar 2025
Max Planck WinDarts: High-Resolution Atmospheric Boundary Layer Measurements with the Max Planck CloudKite platform and Ground Weather Station – A Data Overview
Venecia Chávez-Medina, Hossein Khodamoradi, Oliver Schlenczek, Freja Nordsiek, Claudia E. Brunner, Eberhard Bodenschatz, and Gholamhossein Bagheri
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-111, https://doi.org/10.5194/essd-2025-111, 2025
Preprint under review for ESSD (discussion: open, 1 comment)
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During the Pallas Cloud Experiment (PaCE) in Finland (September 15–28, 2022), detailed measurements of clouds and boundary layer turbulence were gathered. Using the Max Planck CloudKite platform, WinDarts, and a ground station, data were collected from ground level up to 1510 m. This paper presents the data collection process, structure, and user guidelines.
12 Mar 2025
Phytoplankton coastal-offshore monitoring by the Strait of Dover at high spatial resolution: the DYPHYRAD surveys
Zéline Hubert, Aurélie Libeau, Clémentine Gallot, Vincent Cornille, Muriel Crouvoisier, Eric Lecuyer, and Luis Felipe Artigas
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-131, https://doi.org/10.5194/essd-2025-131, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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Long-term phytoplankton monitoring is key to understanding marine systems. This study presents a decade of observations along a coastal-offshore transect in the Strait of Dover using automated in vivo methods. Since 2012, phytoplankton groups have been analyzed via multi-spectral fluorometry and flow cytometry, alongside biogeochemical and hydrological measurements. This dataset offers valuable insights into phytoplankton dynamics and environmental drivers in a temperate coastal system.
12 Mar 2025
CY-Bench: A comprehensive benchmark dataset for sub-national crop yield forecasting
Dilli Paudel, Michiel Kallenberg, Stella Ofori-Ampofo, Hilmy Baja, Ron van Bree, Aike Potze, Pratishtha Poudel, Abdelrahman Saleh, Weston Anderson, Malte von Bloh, Andres Castellano, Oumnia Ennaji, Raed Hamed, Rahel Laudien, Donghoon Lee, Inti Luna, Michele Meroni, Janet Mumo Mutuku, Siyabusa Mkuhlani, Jonathan Richetti, Alex C. Ruane, Ritvik Sahajpal, Guanyuan Shai, Vasileios Sitokonstantinou, Rogério de Souza Nóia Júnior, Amit Kumar Srivastava, Robert Strong, Lily-belle Sweet, Petar Vojnovic, and Ioannis N. Athanasiadis
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-83, https://doi.org/10.5194/essd-2025-83, 2025
Preprint under review for ESSD (discussion: open, 3 comments)
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Improving crop yield predictions is crucial for food security. Prior research relied on case studies, making it hard to compare methods & track progress. We introduce CY-Bench, a global dataset for forecasting maize and wheat yields across diverse farming systems in over 25 countries. It includes standardized weather, soil, and satellite data, curated by a diverse set of experts. CY-Bench supports the development of better forecasting tools to help decision-makers plan for global food security.
12 Mar 2025
Measurement of the ice-nucleating particle concentration with the Portable Ice Nucleation Experiment during the Pallas Cloud Experiment 2022
Alexander Böhmländer, Larissa Lacher, Romy Fösig, Nicole Büttner, Jens Nadolny, David Brus, Konstantinos-Matthaios Doulgeris, and Ottmar Möhler
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-89, https://doi.org/10.5194/essd-2025-89, 2025
Preprint under review for ESSD (discussion: open, 1 comment)
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Cloud-aerosol interactions lead to a phase change of water droplets inside the atmosphere. One of these interactions happens due to a small subset of aerosols, ice-nucleating particles (INPs). These INPs lead to the freezing of pure water droplets above −35 °C, which otherwise would stay liquid. This has impacts on the weather and climate. The present data set presents a unique data set with a high temporal resolution.
12 Mar 2025
CropLayer: A high-accuracy 2-meter resolution cropland mapping dataset for China in 2020 derived from Mapbox and Google satellite imagery using data-driven approaches
Hao Jiang, Mengjun Ku, Xia Zhou, Qiong Zheng, Yangxiaoyue Liu, Jianhui Xu, Dan Li, Chongyang Wang, Jiayi Wei, Jing Zhang, Shuisen Chen, and Jianxi Huang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-44, https://doi.org/10.5194/essd-2025-44, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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Existing cropland datasets in China show significant discrepancies. We created a high-resolution cropland map of China for 2020, using imagery from Mapbox and Google. By combining image quality assessments, active learning for semantic segmentation, and results integration. The accuracy achieved to 88.73 %, with 30 out of 32 provincial units reporting area estimates within ±10 % of official statistics. In contrast, only 9 to 1 provinces from 7 existing datasets meet the same accuracy standard.
11 Mar 2025
Statistical Atlas of European Agriculture: Gridded Data from the Agricultural Census 2020 and the Spatial Distribution of CAP Contextual Indicators
Nicolas Lampach, Jon Olav Skoien, Helena Ramos, Julien Gaffuri, Renate Koeble, Linda See, and Marijn Van der Velde
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-59, https://doi.org/10.5194/essd-2025-59, 2025
Preprint under review for ESSD (discussion: open, 1 comment)
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Eurostat and JRC developed a new methodology to make geospatial data from agricultural census available to users, while ensuring that no confidential information from individuals is disclosed. The geospatial data presented in the article correspond to the contextual indicators of the monitoring and evaluation framework of the Common Agricultural Policy. Our exploratory analysis reveals several interesting patterns which contribute to the broader debate on the future of European agriculture.
10 Mar 2025
Best Practices for Data Management in Marine Science: Lessons from the Nansen Legacy Project
Luke Harry Marsden, Øystein Godøy, Tove Margrethe Gabrielsen, Pål Gunnar Ellingsen, Marit Reigstad, Miriam Marquardt, Arnfinn Morvik, Helge Sagen, Stein Tronstad, and Lara Ferrighi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-56, https://doi.org/10.5194/essd-2025-56, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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This article presents the data management strategies of the Nansen Legacy project, developed to handle data from 300+ researchers and 20 expeditions in the northern Barents Sea. Data collection protocols were documented and followed for consistency, and a searchable data overview was available soon after each cruise. The project required early data sharing and publishing in line with FAIR principles where possible. This article details these strategies to guide future projects.
10 Mar 2025
Rescue, Integration, and Analytical Application of historical data from eight pioneering geomagnetic observatories in China
Suqin Zhang, Changhua Fu, Jianjun Wang, Chuanhua Chen, Guohao Zhu, Qian Zhao, Jun Chen, Shaopeng He, Bin Wang, Pengkun Guo, Na Deng, Jinghui Lu, and Hongchi Yu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-6, https://doi.org/10.5194/essd-2025-6, 2025
Preprint under review for ESSD (discussion: open, 9 comments)
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The objective of this study is to rescue and integrate historical data from eight pioneering geomagnetic observatories in China. Data quality is significantly improved through integration. The integrated dataset is now publicly available for easy access and use by the academic community and the public. These datasets are of great significance for optimizing historical geomagnetic field models, investigating changing magnetic fields, the main geomagnetic field.
10 Mar 2025
Comment on “Classification and mapping of European fuels using a hierarchical, multipurpose fuel classification system” by Aragoneses et al. (2023)
Paulo M. Fernandes, Nuno G. Guiomar, and Ana Sá
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-587, https://doi.org/10.5194/essd-2024-587, 2025
Preprint under review for ESSD (discussion: open, 1 comment)
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Mapping vegetation as fuel is important for understanding and managing wildfires. Aragoneses et al. (2023) created a European fuel map, but their method has flaws. The fuel types don’t match real fire behavior, and key vegetation metrics were mapped using unreliable methods. The map’s low detail and oversimplified approach caused it to overestimate fire risk in areas with less flammable vegetation, limiting its usefulness for wildfire research and planning.
07 Mar 2025
China Coastal GNSS Network: Advancing Precipitable Water Vapor Monitoring and Applications in Climate Analysis
Zhilu Wu, Bofeng Li, Qingyuan Liu, Yanxiong Liu, Huayi Zhang, Dongxu Zhou, and Yang Liu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-24, https://doi.org/10.5194/essd-2025-24, 2025
Preprint under review for ESSD (discussion: open, 5 comments)
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We created a reliable dataset of atmospheric water vapor from China's coastal stations (2009–2019), validated against global models and radiosonde data. The study highlights strong links between water vapor and sea surface temperature, aiding understanding of weather, extreme events, and climate change. This dataset supports improved forecasting and climate research.
05 Mar 2025
The 2024 Noto Peninsula earthquake building damage dataset: Multi-source visual assessment
Ruben Vescovo, Bruno Adriano, Sesa Wiguna, Chia Yee Ho, Jorge Morales, Xuanyan Dong, Shin Ishii, Kazuki Wako, Yudai Ezaki, Ayumu Mizutani, Erick Mas, Satoshi Tanaka, and Shunichi Koshimura
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-363, https://doi.org/10.5194/essd-2024-363, 2025
Revised manuscript under review for ESSD (discussion: final response, 5 comments)
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We compiled an inventory of building condition (destroyed vs. survived) following the 2024 Noto Peninsula Earthquake for the entire affected area, totalling over 140,000 structures. We discuss how we fused freely available data of different types and from different sources to generate the final dataset. We show that our method produces highly accurate results relative to those obtained by on-site surveys. This data can be used to train AI to quickly detect damaged structures in future disasters.
05 Mar 2025
EURO-SUPREME: sub-daily precipitation extremes in the EURO-CORDEX ensemble
Anouk Dierickx, Wout Dewettinck, Bert Van Schaeybroeck, Lesley De Cruz, Steven Caluwaerts, Piet Termonia, and Hans Van de Vyver
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-30, https://doi.org/10.5194/essd-2025-30, 2025
Preprint under review for ESSD (discussion: open, 2 comments)
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This study introduces the EURO-SUPREME dataset consisting of extreme precipitation events selected from a large ensemble of climate models over Europe. The dataset contains information on extreme precipitation events with a precipitation duration of 1 hour to 72 hours that can lead to flooding, high mortality rates and infrastructure damage. We highlight the usefulness of the dataset as a benchmark for improving high-resolution climate models for risk assessment of future extreme floods.
04 Mar 2025
Updates of C-LSAT 2.1 and the development of high-resolution LSAT and DTR datasets
Sihao Wei, Qingxiang Li, Qiya Xu, Zicheng Li, Hanyu Zhang, and Jiaxue Lin
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-70, https://doi.org/10.5194/essd-2025-70, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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This study introduces the update to the C-LSAT 2.1 station data and its gridded dataset (5° × 5°). Based on this, we develop high-resolution (0.5° × 0.5°) LSAT (C-LSAT HRv1) and DTR (C-LDTR HRv1) datasets. The C-LSAT 2.1 station data integrates over 3000 additional global stations, significantly improving spatial coverage. The global and regional variations in C-LSAT HRv1 and C-LDTR HRv1 align well with their 5° × 5° datasets (C-LSAT 2.1 and C-LDTR).
28 Feb 2025
Measurement of the ice-nucleating particle concentration using a mobile filter-based sampler on-board of a fixed-wing uncrewed aerial vehicle during the Pallas Cloud Experiment 2022
Alexander Julian Böhmländer, Larissa Lacher, Kristina Höhler, David Brus, Konstantinos-Matthaios Doulgeris, Jessica Girdwood, Thomas Leisner, and Ottmar Möhler
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-87, https://doi.org/10.5194/essd-2025-87, 2025
Preprint under review for ESSD (discussion: final response, 2 comments)
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Clouds play a key role in weather and climate. Pure liquid water droplets are liquid until about -35 °C without the presence of a small subset of aerosols, ice-nucleating particles (INPs). These INPs lead to primary ice formation and therefore impact the phase of clouds. The dataset described herein provides INP concentration measurements at two altitudes. Connecting this data to synoptic conditions and ambient data might provide a better understanding of INPs in Finnish Lapland.
27 Feb 2025
Radon-222 monitoring at German ICOS atmosphere stations
Maksym Gachkivskyi, Ute Karstens, Bernd Fischer, Dagmar Kubistin, Jennifer Müller-Williams, Matthias Lindauer, and Ingeborg Levin
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-551, https://doi.org/10.5194/essd-2024-551, 2025
Preprint under review for ESSD (discussion: open, 3 comments)
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222Radon (Rn) can be used to distinguish marine and continental air masses or to validate transport models. The Heidelberg Radon Monitor (HRM) measures 214Polonium (Po), a progeny of Rn. This study presents Po-based Rn activity concentrations measured with the HRM at 8 stations in Germany with guidelines for estimating Rn from Po measurements. Comparison between modeled and measured activity concentrations show that at high relative humidity Po measurements cannot be interpreted as Rn.
26 Feb 2025
Biologically effective daily radiant exposure for erythema appearance, previtamin D3 synthesis and clearing of psoriatic lesions from erythema biometers at Belsk, Poland, for the period 1976–2023
Janusz W. Krzyścin, Agnieszka Czerwińska, Bonawentura Rajewska-Więch, Janusz Jarosławski, Piotr S. Sobolewski, and Izabela Pawlak
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-622, https://doi.org/10.5194/essd-2024-622, 2025
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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Time series (1976−2023) of biologically effective (for skin redness, vitamin D3 production and psoriasis healing) daily radiant exposure (RE) at Belsk from standard erythemal biometers are examined. Comparisons of the measured data for cloudless days with values from a radiation transfer model provide a basis for data homogenization. Averaged results from different versions of the recalculated data give the 1976−2004 trend of about 6 % per 10 years in annual RE for all biological effects.
26 Feb 2025
The Italian contribution to the Synoptic Arctic Survey programme: the 2021 CASSANDRA cruise (LB21) through the Greenland Sea Gyre along the 75°N transect
Manuel Bensi, Giuseppe Civitarese, Diego Borme, Carmela Caroppo, Gabriella Caruso, Federica Cerino, Franco Decembrini, Alessandra de Olazabal, Tommaso Diociaiuti, Michele Giani, Vedrana Kovacevic, Martina Kralj, Angelina Lo Giudice, Giovanna Maimone, Marina Monti, Maria Papale, Luisa Patrolecco, Elisa Putelli, Alessandro Ciro Rappazzo, Federica Relitti, Carmen Rizzo, Francesca Spataro, Valentina Tirelli, Clara Turetta, and Maurizio Azzaro
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-37, https://doi.org/10.5194/essd-2025-37, 2025
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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In September 2021, the Italian Arctic Research Programme funded a multidisciplinary study along the 75° N in the Greenland Sea as part of the CASSANDRA project and the Synoptic Arctic Survey programme. The study emphasises the spatial variability of water properties, nutrient distribution and biological communities determined by oceanographic dynamics, in a region influenced by sea ice melting, Atlantic water inflow and climatic teleconnections during a record low summer sea ice extent.
26 Feb 2025
A climate data record of atmospheric moisture and sea surface temperature from satellite observations
Yixiao Fu, Cheng-Zhi Zou, Peng Zhang, Banghai Wu, Shengli Wu, Shi Liu, and Yu Wang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-608, https://doi.org/10.5194/essd-2024-608, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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This study presents a climate data record (CDR) of atmospheric column water vapor and sea surface temperature using over two decades of stable-orbit satellite-based passive microwave imagery observations. The evaluation results show that the CDR has long-term consistency and continuity, and is more accurate than other similar products in climate covariability, suggesting that the CDR is suitable for climate change research and for constraining climate model simulations.
25 Feb 2025
NorESM-bcoi-v1: A bias-corrected reanalysis of ocean biogeochemistry at >40° N, 1980–2020, based on a global ocean model hindcast
Philip John Wallhead, Jörg Schwinger, Jerry Tjiputra, Trond Kristiansen, and Richard Garth James Bellerby
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-76, https://doi.org/10.5194/essd-2025-76, 2025
Preprint under review for ESSD (discussion: open, 1 comment)
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We developed a novel method to combine ocean data from observations and models, and applied it to produce gridded estimates of nutrients, oxygen, dissolved inorganic carbon and total alkalinity concentrations at latitudes >40° N and years 1980–2020. The new estimates showed improved accuracy and coverage relative to previous estimates, but highlighted remaining uncertainty in some poorly sampled regions. The work was largely motivated by a need for accurate input data for regional ocean models.
24 Feb 2025
The Greenland Ice-Marginal Lake Inventory Series from 2016 to 2023
Penelope How, Dorthe Petersen, Kristian Kjellerup Kjeldsen, Katrine Raundrup, Nanna Bjørnholt Karlsson, Alexandra Messerli, Anja Rutishauser, Jonathan Lee Carrivick, James M. Lea, Robert Schjøtt Fausto, Andreas Peter Ahlstrøm, and Signe Bech Andersen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-18, https://doi.org/10.5194/essd-2025-18, 2025
Preprint under review for ESSD (discussion: final response, 2 comments)
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Ice-marginal lakes around Greenland temporarily store glacial meltwater, affecting sea level rise, glacier dynamics and ecosystems. Our study presents an eight-year inventory (2016–2023) of 2918 lakes, mapping their size, abundance, and surface water temperature. This openly available dataset supports future research on sea level projections, lake-driven glacier melting, and sustainable resource planning, including hydropower development under Greenland's climate commitments.
24 Feb 2025
OLIGOTREND, towards a global database of multi-decadal chlorophyll-a and water quality timeseries for rivers, lakes and estuaries
Camille Minaudo, Andras Abonyi, Carles Alcaraz, Jacob Diamond, Nicholas J. K. Howden, Michael Rode, Estela Romero, Vincent Thieu, Fred Worrall, Qian Zhang, and Xavier Benito
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-58, https://doi.org/10.5194/essd-2025-58, 2025
Preprint under review for ESSD (discussion: final response, 2 comments)
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Many waterbodies undergo nutrient decline globally, called oligotrophication, but a comprehensive dataset to understand ecosystem responses is lacking. The OLIGOTREND database comprises multi-decadal chlorophyll-a and nutrient timeseries from rivers, lakes, and estuaries with 4.3 million observations from 1,894 unique measurement locations. The database provides empirical evidence for oligotrophication responses with a spatial and temporal coverage exceeding previous efforts.
24 Feb 2025
Near-real-time vegetation monitoring and historical database (1981–present) for the Iberian Peninsula and the Balearic Islands
Magí Franquesa, Fergus Reig, Manuel Arretxea, Maria Adell-Michavila, Amar Halifa-Marín, Daniel Vilas, Santiago Beguería, and Sergio Martín Vicente-Serrano
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-351, https://doi.org/10.5194/essd-2024-351, 2025
Preprint under review for ESSD (discussion: open, 2 comments)
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Our study created a unique database that tracks vegetation health across Spain and the Balearic Islands from 1981 to now, updated every two weeks. By using satellite images from multiple sources, we provide accurate and consistent data that helps detect changes in vegetation due to factors like fires. This tool is crucial for farmers, environmental managers, and policymakers to monitor and protect plant life, ensuring better management of natural resources and agricultural productivity.
24 Feb 2025
Global consumption-based deforestation carbon emissions and regional hotspots: 2001–2015
Dongmei Tang, Yuanzhi Yao, and Xia Li
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-619, https://doi.org/10.5194/essd-2024-619, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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We developed a global consumption-based carbon emissions gridded dataset (1 km) for deforestation from 2001 to 2015. Our dataset shows that trade-related emissions account for 31 % of global deforestation emissions, with high-income countries driving most of the emissions. This research highlights the importance of addressing consumption patterns in climate change strategies and offers valuable data to inform global policy and emission reduction efforts.
19 Feb 2025
Remote sensing measurements during PaCE 2022 campaign
Simo Tukiainen, Tuomas Siipola, Niko Leskinen, and Ewan O'Connor
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-605, https://doi.org/10.5194/essd-2024-605, 2025
Preprint under review for ESSD (discussion: open, 2 comments)
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Measurement campaigns are crucial for advancing the understanding of complex cloud–aerosol interactions in the atmosphere. Ground-based remote sensing measurements were conducted in Kenttärova, Finland, during the PaCE 2022 campaign. These measurements were processed using the Cloudnet methodology, and the data are available through the ACTRIS Cloudnet data portal.
18 Feb 2025
Data collected by a drone backpack for air quality and atmospheric state measurements during Pallas Cloud Experiment 2022 (PaCE2022)
David Brus, Viet Le, Joel Kuula, and Konstantinos Doulgeris
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-61, https://doi.org/10.5194/essd-2025-61, 2025
Preprint under review for ESSD (discussion: final response, 2 comments)
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This manuscript provides datasets collected during Pallas Cloud Experiment campaign in norther Finland during the autumn of 2022. We provided an overview of the custom-built drone backpack for air quality and atmospheric state variables carried on top of the consumer-grade drone (DJI Mavic 2 pro). We described the flight strategies, and provided an overview of the datasets obtained, including a description of the measurement against the reference for data validation.
18 Feb 2025
Modern Pollen Dataset of the Tibetan Plateau
Mengna Liao, Kai Li, Yili Jin, Lina Liu, Xianyong Cao, and Jian Ni
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-71, https://doi.org/10.5194/essd-2025-71, 2025
Preprint under review for ESSD (discussion: open, 4 comments)
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We present a modern pollen dataset of 555 pollen count records from 307 sites on the Tibetan Plateau (28–40° N and 75–103° E). Our open-access dataset holds various potential applications in paleoecological and paleoclimatic researches. It offers a scientific foundation for reconstructing changes in climate and vegetation over time and enables the assessment of the reliability of pollen assemblages in representing the dynamics of vegetation cover, functional traits, and plant diversity.
18 Feb 2025
Remote sensing of young leaf photosynthetic capacity in tropical and subtropical evergreen broadleaved forests
Xueqin Yang, Qingling Sun, Liusheng Han, Wenping Yuan, Jie Tian, Liyang Liu, Wei Zheng, Mei Wang, Yunpeng Wang, and Xiuzhi Chen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-64, https://doi.org/10.5194/essd-2025-64, 2025
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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Understanding how leaves absorb carbon from the atmosphere is essential for predicting changes in global forests. Young leaves play a key role in this process, but their efficiency has been difficult to measure at large scales. Using satellite data, we developed a new method to track the seasonal patterns of young leaves’ photosynthetic capacity from 2001 to 2018. Our dataset helps scientists better understand forest growth and how ecosystems respond to climate change.
17 Feb 2025
Annual carbon emissions from land-use change in China from 1000 to 2019
Fan Yang, Guanpeng Dong, Xiaoyu Meng, Richard A. Houghton, Yang Gao, Fanneng He, Meijiao Li, Wenjin Li, Zhihao Liu, Xudong Zhai, Pengfei Wu, Hongjuan Zhang, Qinqin Mao, Yuanzhi Yao, and Chao Yue
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-36, https://doi.org/10.5194/essd-2025-36, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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We used a millennial dataset of land-use change in China, combined with comprehensive soil and vegetation carbon density datasets, to quantify China’s annual carbon emissions resulting from land-use change between 1000 and 2019 using a bookkeeping model. The annual carbon emission flux provides a robust historical baseline for assessing terrestrial ecosystem carbon budgets at national and provincial scales, both in the present and future.
17 Feb 2025
Science data collection by the New Zealand Defence Force during the 2022 Antarctic Resupply Mission
Sally Garrett, Peter McComb, John Harris, and Ursula Crabtree
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-8, https://doi.org/10.5194/essd-2025-8, 2025
Preprint under review for ESSD (discussion: final response, 2 comments)
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A voyage to the Ross Sea by the HMNZS AOTEAROA provided an opportunity to complete experimentation focused on improving maritime safety. Data included 21 free floating wave buoys, 10 Global Drifters, 2 Argo Floats and 85 XBT profiles. Meteorological and oceanographic conditions plus sea ice characteristics were captured, along with satellite SAR captures and high-resolution wave modelling. The performance of Global Navigation Satellite Systems at high latitudes was also assessed.
13 Feb 2025
Observational ozone data over the global oceans and polar regions: The TOAR-II Oceans data set version 2024
Yugo Kanaya, Roberto Sommariva, Alfonso Saiz-Lopez, Andrea Mazzeo, Theodore K. Koenig, Kaori Kawana, James E. Johnson, Aurélie Colomb, Pierre Tulet, Suzie Molloy, Ian E. Galbally, Rainer Volkamer, Anoop Mahajan, John W. Halfacre, Paul B. Shepson, Julia Schmale, Hélène Angot, Byron Blomquist, Matthew D. Shupe, Detlev Helmig, Junsu Gil, Meehye Lee, Sean C. Coburn, Ivan Ortega, Gao Chen, James Lee, Kenneth C. Aikin, David D. Parrish, John S. Holloway, Thomas B. Ryerson, Ilana B. Pollack, Eric J. Williams, Brian M. Lerner, Andrew J. Weinheimer, Teresa Campos, Frank M. Flocke, J. Ryan Spackman, Ilann Bourgeois, Jeff Peischl, Chelsea R. Thompson, Ralf M. Staebler, Amir A. Aliabadi, Wanmin Gong, Roeland Van Malderen, Anne M. Thompson, Ryan M. Stauffer, Debra E. Kollonige, Juan Carlos Gómez Martin, Masatomo Fujiwara, Katie Read, Matthew Rowlinson, Keiichi Sato, Junichi Kurokawa, Yoko Iwamoto, Fumikazu Taketani, Hisahiro Takashima, Monica Navarro Comas, Marios Panagi, and Martin G. Schultz
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-566, https://doi.org/10.5194/essd-2024-566, 2025
Preprint under review for ESSD (discussion: final response, 2 comments)
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The first comprehensive dataset of tropospheric ozone over oceans/polar regions is presented, including 77 ship/buoy and 48 aircraft campaign observations (1977–2022, 0–5000 m altitude), supplemented by ozonesonde and surface data. Air masses isolated from land for 72+ hours are systematically selected as essentially oceanic. Among the 11 global regions, they show daytime decreases of 10–16% in the tropics, while near-zero depletions are rare, unlike in the Arctic, implying different mechanisms.
13 Feb 2025
A revisiting of early 18th century environmental data to identify Gulf of Lion properties before the industrial era
Marina Locritani, Sara Garvani, Giuseppe Manzella, Giancarlo Tamburello, and Antonio Guarnieri
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-53, https://doi.org/10.5194/essd-2025-53, 2025
Preprint under review for ESSD (discussion: final response, 3 comments)
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The Histoire Physique de la Mer, written by L.F. Marsili in 1725, was one of the first treatises to analyse the science of the sea. However, it is difficult to understand Marsili's original data. This paper has undertaken a major effort to re-evaluate Marsili's observations, converting historical measurements into modern units: water weight in water density, bathymetric profiles mapping the locations where these measurements were made, and sea level variations, considering the associated error.
13 Feb 2025
The OCEAN ICE mooring compilation: a standardised, pan-Antarctic database of ocean hydrography and current time series
Shenjie Zhou, Pierre Dutrieux, Claudia F. Giulivi, Adrian Jenkins, Alessandro Silvano, Christopher Auckland, E. Povl Abrahamsen, Michael P. Meredith, Irena Vaňková, Keith W. Nicholls, Peter E. D. Davis, Svein Østerhus, Arnold L. Gordon, Christopher J. Zappa, Tiago S. Dotto, Theodore A. Scambos, Kathyrn L. Gunn, Stephen R. Rintoul, Shigeru Aoki, Craig Stevens, Chengyan Liu, Sukyoung Yun, Tae-Wan Kim, Won Sang Lee, Markus Janout, Tore Hattermann, Julius Lauber, Elin Darelius, Anna Wåhlin, Leo Middleton, Pasquale Castagno, Giorgio Budillon, Karen J. Heywood, Jennifer Graham, Stephen Dye, Daisuke Hirano, and Una Kim Miller
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-54, https://doi.org/10.5194/essd-2025-54, 2025
Preprint under review for ESSD (discussion: open, 1 comment)
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We created the first standardised dataset of in-situ ocean measurements time series from around Antarctica collected since 1970s. This includes temperature, salinity, pressure, and currents recorded by instruments deployed in icy, challenging conditions. Our analysis highlights the dominance of tidal currents and separates these from other patterns to study regional energy distribution. This unique dataset offers a foundation for future research on Antarctic ocean dynamics and ice interactions.
13 Feb 2025
GIRAFE v1: a global climate data record for precipitation accompanied by a daily sampling uncertainty
Hannes Konrad, Rémy Roca, Anja Niedorf, Stephan Finkensieper, Marc Schröder, Sophie Cloché, Giulia Panegrossi, Paolo Sanò, Christopher Kidd, Rômulo Augusto Jucá Oliveira, Karsten Fennig, Thomas Sikorski, Madeleine Lemoine, and Rainer Hollmann
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-568, https://doi.org/10.5194/essd-2024-568, 2025
Preprint under review for ESSD (discussion: final response, 3 comments)
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GIRAFE v1 is a global satellite-based precipitation dataset covering 2002 to 2022. It combines high-accuracy microwave and high-resolution infrared observations for retrieving daily precipitation, a respective sampling uncertainty for a more robust analysis, and monthly means. It is intended and suitable for climate monitoring and research, allowing also studies for water management, agriculture, and disaster risk reduction. A continuous extension from 2023 onwards will be implemented in 2025.
12 Feb 2025
A revised and expanded deep radiostratigraphy of the Greenland Ice Sheet from airborne radar sounding surveys between 1993–2019
Joseph A. MacGregor, Mark A. Fahnestock, John D. Paden, Jilu Li, Jeremy P. Harbeck, and Andy Aschwanden
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-578, https://doi.org/10.5194/essd-2024-578, 2025
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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This manuscript describes the second version of a radiostratigraphic database for the Greenland Ice Sheet. It includes numerous improvements to original database from 2015, and includes more and more high-quality radar-sounding data in its assessment. It represents a unique and widespread potential constraint on the history of the ice sheet that could be targeted by ice-sheet models.
12 Feb 2025
TROPOMI Level 3 tropospheric NO2 Dataset with Advanced Uncertainty Analysis from the ESA CCI+ ECV Precursor Project
Isolde Glissenaar, Klaas Folkert Boersma, Isidora Anglou, Pieter Rijsdijk, Tijl Verhoelst, Steven Compernolle, Gaia Pinardi, Jean-Christopher Lambert, Michel Van Roozendael, and Henk Eskes
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-616, https://doi.org/10.5194/essd-2024-616, 2025
Preprint under review for ESSD (discussion: final response, 2 comments)
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We developed a new global dataset of nitrogen dioxide (NO2) levels in the lower atmosphere, using data from TROPOMI for 2018–2021. This dataset offers improved accuracy and detail compared to earlier versions, meeting high international standards for climate data. By refining how measurement errors are calculated and reduced over time and space, we provide clearer insights into pollution patterns. This work supports better air quality monitoring and informs actions to address pollution globally.
12 Feb 2025
A new upgraded high-precision gridded precipitation dataset considering spatiotemporal and physical correlations for mainland China
Jinlong Hu, Chiyuan Miao, Jiajia Su, Qi Zhang, Jiaojiao Gou, and Qiaohong Sun
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-20, https://doi.org/10.5194/essd-2025-20, 2025
Preprint under review for ESSD (discussion: final response, 3 comments)
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We developed a high-precision daily precipitation dataset for mainland China called CHM_PRE V2. Using data from 3,476 rain gauges, 11 related precipitation variables and advanced machine learning methods, we created a daily precipitation dataset spanning 1960–2023 with unprecedented accuracy. Compared to existing datasets, it better captures rainfall events while reducing false alarms. This work provides a reliable tool for studying water resources, climate change, and disaster management.
12 Feb 2025
The JapanFlux2024 dataset for eddy covariance observations covering Japan and East Asia from 1990 to 2023
Masahito Ueyama, Yuta Takao, Hiromi Yazawa, Makiko Tanaka, Hironori Yabuki, Tomo’omi Kumagai, Hiroki Iwata, Md. Abdul Awal, Mingyuan Du, Yoshinobu Harazono, Yoshiaki Hata, Takashi Hirano, Tsutom Hiura, Reiko Ide, Sachinobu Ishida, Mamoru Ishikawa, Kenzo Kitamura, Yuji Kominami, Shujiro Komiya, Ayumi Kotani, Yuta Inoue, Takashi Machimura, Kazuho Matsumoto, Yojiro Matsuura, Yasuko Mizoguchi, Shohei Murayama, Hirohiko Nagano, Taro Nakai, Tatsuro Nakaji, Ko Nakaya, Shinjiro Ohkubo, Takeshi Ohta, Keisuke Ono, Taku M. Saitoh, Ayaka Sakabe, Takanori Shimizu, Seiji Shimoda, Michiaki Sugita, Kentaro Takagi, Yoshiyuki Takahashi, Naoya Takamura, Satoru Takanashi, Takahiro Takimoto, Yukio Yasuda, Qinxue Wang, Jun Asanuma, Hideo Hasegawa, Tetsuya Hiyama, Yoshihiro Iijima, Shigeyuki Ishidoya, Masayuki Itoh, Tomomichi Kato, Hiroaki Kondo, Yoshiko Kosugi, Tomonori Kume, Takahisa Maeda, Trofim Maximov, Ryo Moriwaki, Hiroyuki Muraoka, Roman Petrov, Jun Suzuki, Shingo Taniguchi, and Kazuhito Ichii
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-615, https://doi.org/10.5194/essd-2024-615, 2025
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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The JapanFlux2024 dataset, created through collaboration across Japan and East Asia, includes eddy covariance data from 79 sites spanning 652 site-years (1990–2023). This comprehensive dataset offers valuable insights into energy, water, and CO2 fluxes, supporting research on land-atmosphere interactions and process models. Compatible with FLUXNET, it fosters global collaboration and advances research in environmental science and regional climate dynamics.
12 Feb 2025
A 3-hour, 1-km surface soil moisture dataset for the contiguous United States from 2015 to 2023
Haoxuan Yang, Jia Yang, Tyson E. Ochsner, Erik S. Krueger, Mengyuan Xu, and Chris B. Zou
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-55, https://doi.org/10.5194/essd-2025-55, 2025
Revised manuscript accepted for ESSD (discussion: final response, 8 comments)
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We developed a 3-hour, 1-km surface soil moisture dataset for the contiguous United States from 2015 to 2023 using the spatio-temporal fusion method. This dataset effectively combines the distinct advantages of two long-term SSM datasets, which is also the first hour-level 1-km soil moisture dataset at the continental US scale. The new dataset could provide new insight into the fast changes in soil moisture along with drought and wet spell occurrences.
11 Feb 2025
Air-sea interaction heat and momentum fluxes based on vessel’s experimental observations over Spanish waters
Ángel Sánchez-Lorente, Elena Tel, Lucía Sanz-Pinilla, and Gonzalo González-Nuevo González
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-597, https://doi.org/10.5194/essd-2024-597, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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This study has been done within the framework of JAE INTRO-ICU fellowship in the Instituto Español de Oceanografía, with an interest in understanding the interaction between the ocean and atmosphere in a climate change context using experimental measurements aboard research vessels over Spanish waters. The distinct behavior in the different basins of the Spanish waters is reflected, and the need for further investment in experimental observations due to its great usefulness is also evidenced.
11 Feb 2025
Using new geospatial data and 2020 fossil fuel methane emissions for the Global Fuel Exploitation Inventory (GFEI) v3
Tia R. Scarpelli, Elfie Roy, Daniel J. Jacob, Melissa P. Sulprizio, Ryan D. Tate, and Daniel H. Cusworth
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-552, https://doi.org/10.5194/essd-2024-552, 2025
Preprint under review for ESSD (discussion: final response, 2 comments)
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We present an update of the Global Fuel Exploitation Inventory (GFEI), a global inventory of methane emissions from oil, gas, and coal exploitation. GFEI v3 uses emissions as reported by countries in national inventories for 2020, and new infrastructure information, including a new dataset on coal mine locations. The goal of updating GFEI is to provide a more accurate spatial representation of the country-reported national inventories, allowing comparison with methane monitoring data.
10 Feb 2025
A global daily mesoscale front dataset from satellite observations: In situ validation and cross-dataset comparison
Qinwang Xing, Haiqing Yu, Wei Yu, Xinjun Chen, and Hui Wang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-592, https://doi.org/10.5194/essd-2024-592, 2025
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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Ocean fronts play a key role in marine ecosystems and often implicitly exist in satellite observations. This work presents the first publicly available daily global front dataset spanning from 1982 to 2023, with comprehensive validations using in-situ global observations. Our validations enhance confidence in the application of satellite-based front detection and provide independent support for global front occurrence patterns. The dataset is expected to be widely used in front-related studies.
07 Feb 2025
Storage potentials for carbon-rich products in Germany – a database and outlook on final storage of products derived from negative emission technologies
Sarah Diekmeier, Karsten Reiter, Andreas Henk, and Colin Friebe
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-489, https://doi.org/10.5194/essd-2024-489, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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The study explores the potential for storing carbon-rich products in Germany to support climate goals. Using geological data, we identified old mining sites suitable for storing products like graphite and oxalate from negative emissions technologies. Results show significant storage potential, both above and below ground, offering a sustainable solution. By reusing existing mining areas, Germany can advance towards carbon neutrality, reducing costs and environmental impact.
07 Feb 2025
The HTAP_v3.1 emission mosaic: merging regional and global monthly emissions (2000–2020) to support air quality modelling and policies
Diego Guizzardi, Monica Crippa, Tim Butler, Terry Keating, Rosa Wu, Jacek W. Kamiński, Jeroen Kuenen, Junichi Kurokawa, Satoru Chatani, Tazuko Morikawa, George Pouliot, Jacinthe Racine, Michael D. Moran, Zbigniew Klimont, Patrick M. Manseau, Rabab Mashayekhi, Barron H. Henderson, Steven J. Smith, Rachel Hoesly, Marilena Muntean, Manjola Banja, Edwin Schaaf, Federico Pagani, Jung-Hun Woo, Jinseok Kim, Enrico Pisoni, Junhua Zhang, David Niemi, Mourad Sassi, Annie Duhamel, Tabish Ansari, Kristen Foley, Guannan Geng, Yifei Chen, and Qiang Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-601, https://doi.org/10.5194/essd-2024-601, 2025
Preprint under review for ESSD (discussion: open, 0 comments)
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The global air pollution emission mosaic HTAP_v3.1 is the state-of-the-art database for addressing the evolution of a set of policy-relevant air pollutants over the past 2 decades. The inventory is made by the harmonization and blending of seven regional inventories, gapfilled using the most recent release of EDGAR (EDGARv8). By incorporating the best available local information, the HTAP_v3.1 mosaic inventory can be used for policy-relevant studies at both regional and global levels.
07 Feb 2025
Reconstructed global monthly burned area maps from 1901 to 2020
Zhixuan Guo, Wei Li, Philippe Ciais, Stephen Sitch, Guido R. van der Werf, Simon P. K. Bowring, Ana Bastos, Florent Mouillot, Jiaying He, Minxuan Sun, Lei Zhu, Xiaomeng Du, Nan Wang, and Xiaomeng Huang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-556, https://doi.org/10.5194/essd-2024-556, 2025
Preprint under review for ESSD (discussion: final response, 2 comments)
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To address the limitations of short time spans in satellite data and spatiotemporal discontinuity in site records, we reconstructed global monthly burned area maps at a half-degree resolution for 1901–2020 using machine learning models. The global burned area is predicted at 3.46–4.58 million km² per year, showing a decline from 1901 to 1978, an increase from 1978 to 2008, and a sharper decrease from 2008 to 2020. This dataset provides a benchmark for studies on fire ecology and carbon cycle.
06 Feb 2025
Quantifying Dust Deposition over the Atlantic Ocean
Emmanouil Proestakis, Vassilis Amiridis, Carlos Pérez García-Pando, Svetlana Tsyro, Jan Griesfeller, Antonis Gkikas, Thanasis Georgiou, María Gonçalves Ageitos, Jeronimo Escribano, Stelios Myriokefalitakis, Elisa Bergas Masso, Enza Di Tomaso, Sara Basart, Jan-Berend W. Stuut, and Angela Benedetti
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-43, https://doi.org/10.5194/essd-2025-43, 2025
Preprint under review for ESSD (discussion: open, 1 comment)
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Quantification of dust deposition into the broader Atlantic Ocean is provided, with the estimates established on the basis of Earth Observations. The dataset is considered unique with respect to a range of applications, including compensating for spatiotemporal gaps of sediment-trap measurements, assessments of model simulations, shedding light into physical processes related to the dust cycle, and to better understand dust biogeochemical impacts on oceanic ecosystems, on weather, and climate.
06 Feb 2025
Satellite-based Analysis of Ocean-Surface Stress across the Ice-free and Ice-covered Polar Oceans
Chao Liu and Lisan Yu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-14, https://doi.org/10.5194/essd-2025-14, 2025
Preprint under review for ESSD (discussion: final response, 2 comments)
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A daily dataset on ocean-surface stress is synthesized for both ice-covered and ice-free Arctic and Antarctic areas. It is based on satellite data on ocean winds, ice movement, and sea surface height. Sensitivity analyses address uncertainties, including variations in sea level products and ice-water drag. The dataset's accuracy is validated against in situ measurements, showing moderate to good agreement on monthly and longer timescales.
06 Feb 2025
Integrating Global Ocean Profiles Data and Altimetry-Derived Eddies
Iury T. Simoes-Sousa, Cesar Rocha, Amit Tandon, and Andre Schmidt
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-40, https://doi.org/10.5194/essd-2025-40, 2025
Preprint under review for ESSD (discussion: open, 2 comments)
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This research combines ocean profile data with satellite-tracked ocean vortex data to explore the vertical structure of ocean vortices globally. It integrates over 4 million vertical profiles with 35 million vortex observations. The dataset, processed using advanced computing, is openly accessible and offers a foundation for studying the role of ocean vortices on weather, climate, and ecosystems.
05 Feb 2025
LakeBeD-US: a benchmark dataset for lake water quality time series and vertical profiles
Bennett J. McAfee, Aanish Pradhan, Abhilash Neog, Sepideh Fatemi, Robert T. Hensley, Mary E. Lofton, Anuj Karpatne, Cayelan C. Carey, and Paul C. Hanson
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-27, https://doi.org/10.5194/essd-2025-27, 2025
Revised manuscript accepted for ESSD (discussion: closed, 8 comments)
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LakeBeD-US is a dataset of lake water quality data collected by multiple long-term monitoring programs around the United States. This dataset is designed to foster collaboration between lake scientists and computer scientists to improve predictions of water quality. By offering a way for computer models to be tested against real-world lake data, LakeBeD-US offers opportunities for both sciences to grow and to give new insights into the causes of water quality changes.
04 Feb 2025
A 1 km soil organic carbon density dataset with depth of 20cm and 100cm from 1985 to 2020 in China
Yi Dong, Xinting Wang, and Wei Su
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-588, https://doi.org/10.5194/essd-2024-588, 2025
Preprint under review for ESSD (discussion: open, 5 comments)
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In this study, we developed the first long-term soil organic carbon density (SOCD) product for China, spanning from 1985 to 2020. The generated product exhibits good consistency with existing datasets and provides finer spatial detail compared to global SOC products. This SOCD dataset offers valuable insights into the long-term status of soil health in China and enhances our understanding of the response of soil organic carbon to global warming and human activities.
04 Feb 2025
Fluorescent aerosol particles in the Finnish sub-Arctic during the Pallas Cloud Experiment 2022 campaign
Jürgen Gratzl, David Brus, Konstantinos Doulgeris, Alexander Böhmländer, Ottmar Möhler, and Hinrich Grothe
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-543, https://doi.org/10.5194/essd-2024-543, 2025
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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Near-real time monitoring of airborne biological particles like fungal spores or pollen grains is of great interest for two main reasons: To improve atmospheric allergen forecasts and deepen the understanding of how bioaerosols influence cloud formation. Here, we measured fluorescent bioaerosols in the Finnish sub-Arctic with high time resolution. A data set that might improve our understanding of biosphere-cloud interactions and the dynamics of bioaerosols in the atmosphere.
03 Feb 2025
Mapping the global distribution of lead and its isotopes in seawater with explainable machine learning
Arianna Olivelli, Rossella Arcucci, Mark Rehkämper, and Tina van de Flierdt
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-17, https://doi.org/10.5194/essd-2025-17, 2025
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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In this study, we used machine learning models to produce the first global maps of Pb concentrations and isotope compositions in the ocean. We found that (i) the surface Indian Ocean has the highest levels of pollution, (ii) pollution from previous decades is sinking in the North Atlantic and Pacific Ocean, and (iii) waters carrying Pb pollution are spreading from the Southern Ocean throughout the Southern Hemisphere at intermediate depths.
30 Jan 2025
A high-resolution divergence and vorticity dataset in Beijing derived from the radar wind profiler mesonet measurements
Xiaoran Guo, Jianping Guo, Deli Meng, Yuping Sun, Zhen Zhang, Hui Xu, Liping Zeng, Juan Chen, Ning Li, and Tianmeng Chen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-589, https://doi.org/10.5194/essd-2024-589, 2025
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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Optimal atmospheric dynamic condition is essential for convective storms. This study generates a dataset of high-resolution divergence and vorticity profiles using the measurements of radar wind profiler mesonet in Beijing. The negative divergence and positive vorticity are present in advance of rainfall events. This suggests that this dataset can help improve our understanding of prestorm environment and has the potential to be applied to weather forecasting.
29 Jan 2025
Long history paddy rice mapping across Northeast China with deep learning and annual result enhancement method
Zihui Zhang, Lang Xia, Fen Zhao, Yue Gu, Jing Yang, Yan Zha, Shangrong Wu, and Peng Yang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-516, https://doi.org/10.5194/essd-2024-516, 2025
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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We utilized multi-source data and a deep learning model to explore the annual mapping of rice for Northeast China from 1985 to 2023. First, a rice training dataset comprising 155 images was created. Then, we developed the annual result enhancement (ARE) method to diminish the impact of the limited training sample. In comparison to traditional rice mapping methods, the accuracy of results obtained using the ARE method is significantly improved.
28 Jan 2025
SDUST2024MSS_AO: a MSS model of the Arctic Ocean derived from CryoSat-2 SAR altimeter data
Xin Liu, Yang Yang, Menghao Song, Xiaofeng Dai, Yurong Ding, Gaoying Yin, and Jinyun Guo
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-2, https://doi.org/10.5194/essd-2025-2, 2025
Preprint under review for ESSD (discussion: open, 4 comments)
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This study tackles the challenge of measuring sea surface height in the Arctic Ocean, where ice coverage makes accurate modeling difficult. Using advanced satellite data and innovative methods, a new high-resolution mean sea surface model was created. It achieves greater precision than previous models and offers valuable insights into Arctic oceanography. This research provides an important tool for understanding changes in the Arctic environment and their global impacts.
28 Jan 2025
A 1 km soil moisture data over eastern CONUS generated through assimilating SMAP data into the Noah-MP land surface model
Sheng-Lun Tai, Zhao Yang, Brian Gaudet, Koichi Sakaguchi, Larry Berg, Colleen Kaul, Yun Qian, Ye Liu, and Jerome Fast
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-599, https://doi.org/10.5194/essd-2024-599, 2025
Preprint under review for ESSD (discussion: final response, 2 comments)
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Our study created a high-resolution soil moisture dataset for the eastern U.S. by integrating satellite data with a land surface model and advanced algorithms, achieving 1-km scale analyses. Validated against multiple networks and datasets, it demonstrated superior accuracy. This dataset is vital for understanding soil moisture dynamics, especially during droughts, and highlights the need for improved modeling of clay soils to refine future predictions.
28 Jan 2025
Global snow water equivalent product derived from machine learning model trained with in situ measurement data
Jungho Seo, Mahdi Panahi, Ji Hyun Kim, Sayed M. Bateni, and Yeonjoo Kim
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-349, https://doi.org/10.5194/essd-2024-349, 2025
Preprint under review for ESSD (discussion: final response, 3 comments)
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This study introduces a machine learning-based daily global gridded snow water equivalent (SWE) product (SWEML) at 0.25° from 1980 to 2020. Comparison of SWEML to other global SWE datasets showed that SWEML exhibited high accuracy, especially in mountainous and high-elevation areas, such as the Rocky Mountains in the US. In addition, SWEML effectively depicted snow accumulation during winters and snow melting during springs.
27 Jan 2025
The German Small Lake and Pond Inventory
Alexander Wachholz, Susanne Isabel Schmidt, Jens Arle, and Jeanette Völker
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-563, https://doi.org/10.5194/essd-2024-563, 2025
Preprint under review for ESSD (discussion: open, 1 comment)
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Small lakes and ponds are provide many functions for the environment. Because of their size they are often not considered in scientific studies. We collected all the information on those lakes and ponds for Germany and combined it to a database. We described the ponds in detail, for example how deep they might by, how much water they can store or if they are connected to rivers. We found more than 260.000 lakes and ponds in Germany.
27 Jan 2025
HIStory of LAND transformation by humans in South America (HISLAND-SA): annual and 1-km crop-specific gridded data (1950–2020)
Binyuan Xu, Hanqin Tian, Shufen Pan, Xiaoyong Li, Ran Meng, Óscar Melo, Anne McDonald, María de los Ángeles Picone, Xiao-Peng Song, Edson Severnini, Katharine G. Young, and Feng Zhao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-527, https://doi.org/10.5194/essd-2024-527, 2025
Preprint under review for ESSD (discussion: open, 2 comments)
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This study focuses on land use change in South America, reconstructing the historical dynamics of four major crops (soybean, maize, wheat, and rice) from 1950 to 2020 by integrating multiple data sources. The results reveal a significant expansion in cropland, particularly for soybean, leading to a substantial reduction in natural vegetation such as forests and grasslands. The datasets can be used to assess the impacts of cropland expansion on carbon and nitrogen cycles in South America.
27 Jan 2025
Residential heating emissions for the Western Balkans
Christian Asker, Eef van Dongen, and Olivier Tasse
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-462, https://doi.org/10.5194/essd-2024-462, 2025
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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Air pollution adversely affects health, ecosystems and infrastructure. In this work we have developed a methodology and created a dataset for describing air pollution sources for heating of individual houses for the Western Balkan region. The dataset has high spatial resolution and can help understand the air pollution situation in the region.
27 Jan 2025
Countrywide Digital Surface Models and Vegetation Height Models from Historical Aerial Images
Mauro Marty, Livia Piermattei, Lars T. Waser, and Christian Ginzler
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-428, https://doi.org/10.5194/essd-2024-428, 2025
Preprint under review for ESSD (discussion: open, 1 comment)
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Millions of aerial photographs represent an enormous, resource for geoscientists. In this study, we used freely available historical stereo images covering Switzerland, allowing us to derive four countrywide DSMs at a 1 m spatial resolution across four epochs. Our DSMs achieved sub-metric accuracy compared to reference data and high image matching completeness, demonstrating the feasibility of capturing continuous surface change at a high spatial resolution over different land cover classes.
24 Jan 2025
Multi-spatial scale assessment and multi-dataset fusion of global terrestrial evapotranspiration datasets
Yi Wu, Chiyuan Miao, Yiying Wang, Qi Zhang, Jiachen Ji, and Yuanfang Chai
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-600, https://doi.org/10.5194/essd-2024-600, 2025
Revised manuscript has not been submitted (discussion: closed, 3 comments)
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Our study introduces BMA-ET, a novel multi-dataset fusion product. Spanning 1980 to 2020 with spatial resolution of 0.5° and 1°, BMA-ET uses Bayesian model averaging (BMA) to combine thirty ET datasets. A key innovation is its dynamic weighting scheme, which adjusts for different vegetation types and non-common coverage years among ET datasets. BMA-ET provides a comprehensive resource for understanding global ET patterns and trends, addressing the limitation of prior ET fusion efforts.
22 Jan 2025
Insights into the North Hemisphere daily snowpack at high resolution from the new Crocus-ERA5 product
Silvana Ramos Buarque, Bertrand Decharme, Alina Lavinia Barbu, and Laurent Franchisteguy
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-451, https://doi.org/10.5194/essd-2024-451, 2025
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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The Crocus-ERA5 snow dataset supports Arctic snow monitoring and contributes to the Arctic Report Card. It improves on its predecessor with higher spatial resolution (0.25° vs. 0.75°), enhancing topographic and land cover detail. The product’s performance is assessed in terms of snow depth and extent compared to in situ observations and satellite data. The findings show a notable improvement, though biases remain, particularly in boreal forests, where the model tends to overestimate spring melt.
22 Jan 2025
Compilation and Analysis of Thaw Settlement Test Results: Implications for Prediction Tools and Stress-Strain Characterization in Permafrost
Zakieh Mohammadi and Jocelyn L. Hayley
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-514, https://doi.org/10.5194/essd-2024-514, 2025
Revised manuscript accepted for ESSD (discussion: final response, 4 comments)
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This study aims to enhance understanding of thaw settlement, a common issue caused by climate change that impacts infrastructures on permafrost. A comprehensive dataset of thaw settlement test results was compiled from existing literature. The dataset was used to compare thaw settlement properties across various soil types and to evaluate empirical tools commonly used for predicting thaw settlement, identifying the most accurate methods.
22 Jan 2025
Comprehensive inventory of large hydropower systems in the Italian Alpine Region
Andrea Galletti, Soroush Zarghami Dastjerdi, and Bruno Majone
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-521, https://doi.org/10.5194/essd-2024-521, 2025
Revised manuscript accepted for ESSD (discussion: closed, 5 comments)
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We propose IAR-HP, a detailed inventory of large hydropower systems in Italy's Alpine Region, aimed at improving hydrological modeling for climate impact studies by providing the most relevant information with a consistent level of detail. It includes structural, geographical, and operational data for over 300 hydropower plants and their related reservoirs and water intakes. Validated through modeling, IAR-HP accurately reproduces observed hydropower, capturing 96.2 % of actual production.
21 Jan 2025
Mapping global distributions, environmental controls, and uncertainties of apparent top- and subsoil organic carbon turnover times
Lei Zhang, Lin Yang, Thomas W. Crowther, Constantin M. Zohner, Sebastian Doetterl, Gerard B. M. Heuvelink, Alexandre M. J.-C. Wadoux, A.-Xing Zhu, Yue Pu, Feixue Shen, Haozhi Ma, Yibiao Zou, and Chenghu Zhou
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-618, https://doi.org/10.5194/essd-2024-618, 2025
Revised manuscript accepted for ESSD (discussion: closed, 6 comments)
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Current understanding of depth-dependent variations and controls of soil organic carbon turnover time (τ) at global, biome, and local scales remain incomplete. We used the state-of-the-art soil and root profile databases and satellite observations to generate spatially-explicit new global maps of top- and subsoil τ, with quantified uncertainties for better user applications. The new insights from resulting maps facilitate modelling efforts of carbon cycle and support effective carbon management.
21 Jan 2025
Aerosol single scattering albedo derived by merging OMI/POLDER satellite products and AERONET ground observations
Yueming Dong, Jing Li, Zhenyu Zhang, Chongzhao Zhang, and Qiurui Li
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-583, https://doi.org/10.5194/essd-2024-583, 2025
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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This study develops two merged global land aerosol single scattering albedo (SSA) datasets by combining AERONET ground observations and two satellite datasets using an Ensemble Kalman Filter data synergy method. The merged datasets exhibit significantly improved accuracy compared to the original satellite data. These results can provide more reliable estimates of aerosol scattering and absorption properties, essential for improving climate modeling and assessing aerosol climate effects.
20 Jan 2025
A New-Generation Internal Tide Model Based on 30 Years of Satellite Sea Surface Height Measurements
Zhongxiang Zhao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-611, https://doi.org/10.5194/essd-2024-611, 2025
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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Internal tides are generated by barotropic tidal currents flowing over variable topography. They play an important role in a variety of ocean processes such as diapycnal mixing and tracer transport. A global internal tide model is developed using 30 years of satellite altimetry data and a new mapping technique. It decomposes the internal tide field into 60 plane waves at each point, giving numerous long-range beams that contain key information on their generation, propagation, and dissipation.
20 Jan 2025
What is climate change doing in Himalaya? Thirty years of the Pyramid Meteorological Network (Nepal)
Franco Salerno, Nicolas Guyennon, Nicola Colombo, Maria Teresa Melis, Francesco Gabriele Dessì, Gianpietro Verza, Kaji Bista, Ahmad Sheharyar, and Gianni Tartari
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-591, https://doi.org/10.5194/essd-2024-591, 2025
Revised manuscript under review for ESSD (discussion: final response, 6 comments)
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Climate change is deeply impacting mountain areas around the globe, especially in Himalaya. Here, we present the Pyramid Meteorological Network, located in Himalaya (Nepal), on the southern slopes of Mt. Everest. The network is composed of 7 meteorological stations located between 2660 and 7986 m a.s.l., which have collected continuous climatic data during the last 30 years (1994–2023). The dataset is available freely accessible from https://zenodo.org/records/14450214 (Salerno et al., 2024).
20 Jan 2025
Global Acritarch Database (>110 000 occurrences)
Xiang Shu, Haijun Song, Yong Lei, Daoliang Chu, Jacopo Dal Corso, Xiaokang Liu, Hanchen Song, Lai Wei, Enhao Jia, Yan Feng, Yong Du, Huyue Song, Wenchao Yu, Qingzhong Liang, Xinchuan Li, Hong Yao, and Yuyang Wu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-577, https://doi.org/10.5194/essd-2024-577, 2025
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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Building on the foundation of Palynodata, the global acritarch database (GAD) added 24 new fields, 4531 new entries, 1 882 081 new metadata points, and 424 new references, resulting in a database comprising 115 947 entries, 39 fields, 2 694 671 metadata points, and 7816 references. GAD represents records from 2993 different sampling sites spanning geological history from the Precambrian to Phanerozoic, and the fossil records include 1456 genera and 9863 species (excluding sp.).
20 Jan 2025
A dataset on the structural diversity of European forests
Marco Girardello, Gonzalo Oton, Matteo Piccardo, Mark Pickering, Agata Elia, Guido Ceccherini, Mariano Garcia, Mirco Migliavacca, and Alessandro Cescatti
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-471, https://doi.org/10.5194/essd-2024-471, 2025
Preprint under review for ESSD (discussion: open, 2 comments)
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Our research addresses the significant challenge of assessing forest structural diversity over large spatial scales, which is crucial for understanding the relationship between canopy structure, biodiversity, and ecosystem functioning. The advent of spaceborne LiDAR sensors, such as GEDI, has revolutionised the ability to obtain high-quality information on forest structural parameters. Our contribution provides a novel, spatially-explicit dataset on eight forest structural diversity metrics.
20 Jan 2025
Northern Hemisphere in situ snow water equivalent dataset (NorSWE, 1979–2021)
Colleen Mortimer and Vincent Vionnet
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-602, https://doi.org/10.5194/essd-2024-602, 2025
Revised manuscript under review for ESSD (discussion: final response, 6 comments)
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In situ observations of snow water equivalent (SWE) are critical for climate applications and resource management. NorSWE is a dataset of in situ SWE observations covering North America, Finland and Russia over the period 1979–2021. It includes >11 million observations from >10 thousand different locations compiled from nine different sources. Snow depth and derived bulk snow density are included when available.
16 Jan 2025
An annual 30 m cultivated pasture dataset of the Tibetan Plateau from 1988 to 2021
Binghong Han, Jian Bi, Shengli Tao, Tong Yang, Yongli Tang, Mengshuai Ge, Hao Wang, Zhenong Jin, Jinwei Dong, Zhibiao Nan, and Jin-Sheng He
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-620, https://doi.org/10.5194/essd-2024-620, 2025
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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The Tibetan Plateau is an important pastoral area where cultivated pastures play an increasingly important role. However, little is known about the spatial distribution of the cultivated pasture due to the difficulty in distinguishing them from natural grasslands with remote sensing. For the first time, we have mapped the cultivated pastures on the plateau at a resolution of 30 meters with decent accuracy. This data set is valuable to scientists, policy makers, conservationists and pastoralists.
16 Jan 2025
ESA CCI Soil Moisture GAPFILLED: An independent global gap-free satellite climate data record with uncertainty estimates
Wolfgang Preimesberger, Pietro Stradiotti, and Wouter Dorigo
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-610, https://doi.org/10.5194/essd-2024-610, 2025
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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We introduce the official ESA CCI Soil Moisture GAPFILLED climate data record. A univariate interpolation algorithm is applied to predict missing data points without relying on ancillary variables. The dataset includes gap-free uncertainty estimates for all predictions and was validated with independent in situ reference measurements. The data are recommended for applications, which require global long-term gap-free satellite soil moisture data.
16 Jan 2025
China's annual forest age dataset at 30 m spatial resolution from 1986 to 2022
Rong Shang, Xudong Lin, Jing M. Chen, Yunjian Liang, Keyan Fang, Mingzhu Xu, Yulin Yan, Weimin Ju, Guirui Yu, Nianpeng He, Li Xu, Liangyun Liu, Jing Li, Wang Li, Jun Zhai, and Zhongmin Hu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-574, https://doi.org/10.5194/essd-2024-574, 2025
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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Forest age is critical for carbon cycle modelling and effective forest management. Existing datasets, however, have low spatial resolutions or limited temporal coverage. This study introduces China's Annual Forest Age Dataset (CAFA), spanning 1986–2022 at 30-m resolution. By tracking forest disturbances, we annually update ages. Validation shows small errors for disturbed forests and larger for undisturbed forests. CAFA can enhance carbon cycle modelling and forest management in China.
16 Jan 2025
A seamless global daily 5 km soil moisture product from 1982 to 2021 using AVHRR satellite data and an attention-based deep learning model
Yufang Zhang, Shunlin Liang, Han Ma, Tao He, Feng Tian, Guodong Zhang, and Jianglei Xu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-553, https://doi.org/10.5194/essd-2024-553, 2025
Preprint under review for ESSD (discussion: open, 2 comments)
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Soil moisture (SM) plays a vital role in climate, agriculture, and hydrology, yet reliable long-term seamless global datasets remain scarce. To fill this gap, we developed a four-decade seamless global daily 5 km SM product using multi-source datasets and deep learning techniques. This product has long-term coverage, spatial and temporal integrity, and high accuracy, making it a valuable tool for applications like SM trend analysis, drought monitoring, and assessing vegetation responses.
16 Jan 2025
DebDab: A database of supraglacial debris thickness and physical properties
Adrià Fontrodona-Bach, Lars Groeneveld, Evan Miles, Michael McCarthy, Thomas Shaw, Vicente Melo Velasco, and Francesca Pellicciotti
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-559, https://doi.org/10.5194/essd-2024-559, 2025
Preprint under review for ESSD (discussion: final response, 8 comments)
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Glaciers with a layer of rocky debris on their surfaces are distinct from clean ice glaciers, with debris mostly insulating the glacier ice. However, debris data is scarce. We present DebDab, a database of debris thickness and physical properties of debris, with data from 83 glaciers in 13 global glacier regions, compiled from 172 sources and including previously unpublished data. DebDab serves as an open central repository for the scientific community to do research on debris-covered glaciers.
14 Jan 2025
GCL-Mascon2024: a novel satellite gravimetry mascon solution using the short-arc approach
Zhengwen Yan, Jiangjun Ran, Pavel Ditmar, C. K. Shum, Roland Klees, Patrick Smith, and Xavier Fettweis
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-512, https://doi.org/10.5194/essd-2024-512, 2025
Preprint under review for ESSD (discussion: final response, 3 comments)
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The Gravity Recovery And Climate Experiment (GRACE) mission has greatly improved our understanding of changes in Earth's gravity field over time. A novel mass concentration (mascon) dataset, GCL-Mascon2024, was determined by leveraging the short-arc approach, advanced spatial constraints, frequency-dependent noise processing strategy, and parameterization integrating natural boundaries, which aims to enhance accuracy for monitoring mass transportation on Earth.
14 Jan 2025
Large-scale forest stand height mapping in the northeastern U.S. and China using L-band spaceborne repeat-pass InSAR and GEDI LiDAR data
Yanghai Yu, Yang Lei, Paul Siqueira, Xiaotong Liu, Denuo Gu, Anmin Fu, Yong Pang, Wenli Huang, and Jiancheng Shi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-596, https://doi.org/10.5194/essd-2024-596, 2025
Preprint under review for ESSD (discussion: final response, 2 comments)
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This paper presents a global-to-local method to improve forest height estimates by fusing InSAR and GEDI data. The large-scale ability was tested on open-access ALOS-1 data, where a two-fold solution is used to address temporal gap between GEDI and ALOS data. Produced products of 30 m gridded forest height mosaics for the northeastern U.S. and China show improved accuracy at 3–4 m/ha and 20 % enhancement over interpolated GEDI maps. The prototype is promising to fuse GEDI and future NISAR data.
14 Jan 2025
Rock Glacier Inventories (RoGI) in 12 areas worldwide using a multi-operator consensus-based procedure
Line Rouyet, Tobias Bolch, Francesco Brardinoni, Rafael Caduff, Diego Cusicanqui, Margaret Darrow, Reynald Delaloye, Thomas Echelard, Christophe Lambiel, Lucas Ruiz, Lea Schmid, Flavius Sirbu, and Tazio Strozzi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-598, https://doi.org/10.5194/essd-2024-598, 2025
Preprint under review for ESSD (discussion: final response, 6 comments)
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Rock glaciers are landforms generated by the creep of frozen ground (permafrost) in cold-climate mountains. Mapping rock glaciers contributes to document the distribution and the dynamics of mountain permafrost. We compiled inventories documenting the location, the characteristics, and the extent of rock glaciers in 12 mountain regions around the world. In each region, a team of operators performed the work following common rules and agreed on final solutions when discrepancies were identified.
13 Jan 2025
Global air-sea heat and freshwater fluxes constrained by ocean observations
Taimoor Sohail and Jan David Zika
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-545, https://doi.org/10.5194/essd-2024-545, 2025
Preprint under review for ESSD (discussion: final response, 3 comments)
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How much heat and freshwater the ocean absorbs is important to understanding climate change. However, our best estimates of heat and freshwater transports into the ocean remain uncertain. In this work, we use a new method called the Optimal Transformation Method (OTM), to reconcile air-sea heat and freshwater transports with ocean temperature and salinity observations, representing a meaningful improvement on existing estimates. Our improved air-sea transport estimates are publicly available.
09 Jan 2025
Global-PCG-10: a 10-m global map of plastic-covered greenhouses derived from Sentinel-2 in 2020
Bowen Niu, Quanlong Feng, Bingwen Qiu, Shuai Su, Xinmin Zhang, Rongji Cui, Xinhong Zhang, Fanli Sun, Wenhui Yan, Siyuan Zhao, Hanyu Shi, Cong Ou, Xiaolu Yan, Jianhua Gong, Gaofei Yin, Jianxi Huang, Jiantao Liu, Bingbo Gao, Xiaochuang Yao, Jianyu Yang, and Dehai Zhu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-538, https://doi.org/10.5194/essd-2024-538, 2025
Preprint under review for ESSD (discussion: open, 2 comments)
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We have proposed a novel framework to generate the firstly publicly released 10-m global PCGs map in 2020 derived from Sentinel-2. Results show that the global PCGs area is approximately 14,259.85 km² in 2020, mainly distributed between 30° N and 40° N. China, not only has the largest area of PCGs in Asia but also ranks first worldwide, with a PCGs area of 8,224.90 km², making up 57.67 % of the global and 83.29 % of the Asia. The overall accuracy of our Global-PCG-10 is satisfactory of 92.08 %.
08 Jan 2025
CNSIF: A reconstructed monthly 500-m spatial resolution solar-induced chlorophyll fluorescence dataset in China
Kaiqi Du, Guilong Xiao, Jianxi Huang, Xiaoyan Kang, Xuecao Li, Yelu Zeng, Quandi Niu, Haixiang Guan, and Jianjian Song
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-432, https://doi.org/10.5194/essd-2024-432, 2025
Manuscript not accepted for further review (discussion: closed, 2 comments)
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In this manuscript, we developed a 500-m spatial resolution monthly SIF dataset for the China region (CNSIF) from 2003 to 2022 based on high-resolution apparent reflectance and thermal infrared data. The comparison of CNSIF with tower-based SIF observations, tower-based GPP observations, MODIS GPP products, and other SIF datasets has validated CNSIF's ability to capture photosynthetic activity across different vegetation types and its potential for estimating carbon fluxes.
08 Jan 2025
NortheastChinaSoybeanYield20m: an annual soybean yield dataset at 20 m in Northeast China from 2019 to 2023
Jingyuan Xu, Xin Du, Taifeng Dong, Qiangzi Li, Yuan Zhang, Hongyan Wang, Jing Xiao, Jiashu Zhang, Yunqi Shen, and Yong Dong
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-586, https://doi.org/10.5194/essd-2024-586, 2025
Revised manuscript under review for ESSD (discussion: final response, 7 comments)
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This study proposed a 20 m soybean yield dataset in Northeast China (NortheastChindaSoybeanYield20m) from 2019 to 2023 using a hybrid framework coupling crop growth model with deep learning algorithm. Stable results were achieved through the years. The overall accuracy of the dataset was 287.44 kg ha-1 and 272.36 kg ha-1 in the root mean squared error for field and regional scale, respectively. The study satisfied the urgent demands for precise control of crop yield information.
06 Jan 2025
The first rainfall erosivity database in Mexico: facing challenges of leveraging legacy climate data
Viviana Marcela Varón-Ramírez, Douglas Andrés Gómez-Latorre, Carlos Eduardo Arroyo-Cruz, Alberto Gómez-Tagle, Blanca Lucía Prado Pano, Ronald Roger Gutierrez Llantoy, Deyanira Lobo-Luján, and Mario Antonio Guevara
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-530, https://doi.org/10.5194/essd-2024-530, 2025
Manuscript not accepted for further review (discussion: closed, 3 comments)
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This research focuses on Mexico's soil water erosion (SWE) using rainfall data to estimate erosivity. A database of daily rainfall series was developed for three climate normals –CNs– (1968–1997, 1978–2007, 1988–2017) with over 5,000 series. We found mean erosivity values of 3600, 3296, and 3461 MJ mm ha-1 h-1 yr-1 for the three CNs. The resulting publicly available datasets of rainfall series and erosivity help better understand SWE and rainfall patterns across Mexico.
03 Jan 2025
EARLS: A runoff reconstruction dataset for Europe
Daniel Klotz, Peter Miersch, Thiago V. M. do Nascimento, Fabrizio Fenicia, Martin Gauch, and Jakob Zscheischler
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-450, https://doi.org/10.5194/essd-2024-450, 2025
Preprint under review for ESSD (discussion: final response, 4 comments)
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Data availability is central to hydrological science. It is the basis for advancing our understanding of hydrological processes, building prediction models, and anticipatory water management. We present a data-driven daily runoff reconstruction product for natural streamflow. We name it EARLS: European aggregated reconstruction for large-sample studies. The reconstructions represent daily simulations of natural streamflow across Europe and cover the period from 1953 to 2020.
02 Jan 2025
StageIV-IRC – A High-resolution Dataset of Extreme Orographic Quantitative Precipitation Estimates (QPE) Constrained to Water Budget Closure for Historical Floods in the Appalachian Mountains
Mochi Liao and Ana Barros
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-513, https://doi.org/10.5194/essd-2024-513, 2025
Manuscript not accepted for further review (discussion: closed, 4 comments)
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This StageIV-IRC is the first rainfall dataset aiming to close the water budget for flood events, consistent with fundamental physics at basin scale, and achieving superior hydrological performance at fine scale (<1hr, <1km) in headwater basins. It shows greatly-enhanced, topography-aligned rainfall spatial variability, yielding a median KGE of 0.86, with flood timing errors <1hr. This dataset can be used in operational hydrology to improve precipitation forecasts, advancing flood forecasting.
02 Jan 2025
The UWO dataset – long-term observations from a full-scale field laboratory to better understand urban hydrology at small spatio-temporal scales
Frank Blumensaat, Simon Bloem, Christian Ebi, Andy Disch, Christian Förster, Max Maurer, Mayra Rodriguez, and Jörg Rieckermann
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-47, https://doi.org/10.5194/essd-2024-47, 2025
Preprint under review for ESSD (discussion: final response, 2 comments)
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Detailed monitoring of urban drainage systems is challenging due to the hazardous environment, the required expertise and resources. The Fehraltorf Urban Water Observatory provides a unique dataset with 124 sensors observing rainfall-runoff, wastewater and in-sewer temperatures as well as wireless sensor network performance for three years. To enhance usability, systematic meta-data, sewer infrastructure, and a hydrodynamic model are included.
19 Dec 2024
Quantitative imaging datasets of micro to mesoplankton communities and surface microplastic across the Pacific Ocean from the Tara Pacific Expedition
Zoé Mériguet, Guillaume Bourdin, Nathaniel Kristan, Laetitia Jalabert, Olivier Bun, Marc Picheral, Louis Caray–Counil, Juliette Maury, Maria-Luiza Pedrotti, Amanda Elineau, David Arturo Paz-Garcia, Lee Karp-Boss, Gabriel Gorsky, Fabien Lombard, and the Tara Pacific Consortium Coordinators team
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-507, https://doi.org/10.5194/essd-2024-507, 2024
Revised manuscript accepted for ESSD (discussion: closed, 6 comments)
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This study presents imaging datasets from the Tara Pacific Expedition, covering multiple plankton sizes and a wide sampling area in Pacific waters. By sampling both open ocean and island areas, these data can show how plankton size, diversity and abundance change with different environments. We also highlight the usefulness of high-speed plankton sampling when it is not possible to slow the boat during sailing, and its value in extending sampling coverage and frequency.
18 Dec 2024
CCD-Rice: A long-term paddy rice distribution dataset in China at 30 m resolution
Ruoque Shen, Qiongyan Peng, Xiangqian Li, Xiuzhi Chen, and Wenping Yuan
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-584, https://doi.org/10.5194/essd-2024-584, 2024
Revised manuscript accepted for ESSD (discussion: closed, 3 comments)
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Rice is a vital staple crop that plays a crucial role in food security in China. However, long-term high-resolution rice distribution maps in China are lacking. This study developed a new rice mapping method using to address the challenges of cloud contamination and missing data in optical remote sensing observations. The resulting dataset, CCD-Rice (China Crop Dataset-Rice), achieved high accuracy and showed strong correlation with statistical data.
18 Dec 2024
A dataset of ground-based vertical profile observations of aerosol, NO2 and HCHO from the hyperspectral vertical remote sensing network in China (2019–2023)
Peiyuan Jiao, Chengzhi Xing, Yikai Li, Xiangguang Ji, Wei Tan, Qihua Li, Haoran Liu, and Cheng Liu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-562, https://doi.org/10.5194/essd-2024-562, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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This study provides a dataset of high-resolution vertical profiles of aerosol, NO2, and HCHO, observed over periods ranging from 5 months to 5 years at 32 sites across China between 2019 and 2023. The dataset captures the vertical distribution, diurnal pattern and seasonal variations of these compositions. It has been validated against TROPOMI satellite observations and ground-based CNEMC measurements, showing good correlations.
18 Dec 2024
Development of level 2 aerosol and surface products from cross-track scanning polarimeter POSP onboard GF-5(02) satellite
Cheng Chen, Xuefeng Lei, Zhenhai Liu, Haorang Gu, Oleg Dubovik, Pavel Litvinov, David Fuertes, Yujia Cao, Haixiao Yu, Guangfeng Xiang, Binghuan Meng, Zhenwei Qiu, Xiaobing Sun, Jin Hong, and Zhengqiang Li
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-483, https://doi.org/10.5194/essd-2024-483, 2024
Revised manuscript accepted for ESSD (discussion: closed, 6 comments)
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POSP on board GF-5(02) satellite is the first space-borne UV-VIS-NIR-SWIR multi-spectral cross-track scanning polarimeter. Due to wide spectral range and polarimetric capabilities, POSP measurements provide rich information for aerosol and surface characterization. We present the aerosol/surface products generated from POSP first 18 months of operation using GRASP/Models, including spectral AOD, AODF, AODC, and AE, SSA, scale height, full surface BRDF, BPDF, black-/white-sky albedos, NDVI.
17 Dec 2024
A Globally Seamless Terrestrial Evapotranspiration Dataset Retrieved by a Nonparametric Approach with Remote Sensing and Reanalysis Datasets
Suyi Liu, Xin Pan, Jie Yuan, Kevin Tansey, Zi Yang, Zhanchuan Wang, Xu Ding, Yuanbo Liu, and Yingbao Yang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-495, https://doi.org/10.5194/essd-2024-495, 2024
Preprint under review for ESSD (discussion: final response, 4 comments)
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This study proposed the Remote Sensed Non-Parametric (RSNP) model to estimate global monthly evapotranspiration (ET) from 2001 to 2019 at a spatial resolution of 0.1°, without resistance parameterization. Evaluated with global FLUXNET sites and present global ET datasets, it shows high accuracy, particularly in forested regions, and captures spatial patterns of ET. Our dataset provides a global continuous and seamless ET, which is beneficial for global research and future water balance studies.
16 Dec 2024
A global daily seamless 9-km Vegetation Optical Depth (VOD) product from 2010 to 2021
Die Hu, Yuan Wang, Han Jing, Linwei Yue, Qiang Zhang, Lei Fan, Qiangqiang Yuan, Huanfeng Shen, and Liangpei Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-411, https://doi.org/10.5194/essd-2024-411, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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The existing L-band Vegetation Optical Depth (VOD) products suffer from data gaps and coarse resolution of historical data. Our study begins with the reconstruction of missing data and then develops a spatiotemporal fusion model to generate global daily seamless 9-km L-VOD products from 2010 to 2021, which are crucial for understanding the global carbon cycle. The dataset is freely accessible for use in environmental monitoring.
13 Dec 2024
HighResClimNevada: a high-resolution climatological dataset for a high-altitude region in Southern Spain (Sierra Nevada)
Matilde García-Valdecasas Ojeda, Feliciano Solano-Farias, David Donaire-Montaño, Emilio Romero-Jiménez, Juan José Rosa-Cánovas, Yolanda Castro-Díez, Sonia Raquel Gámiz-Fortis, and María Jesús Esteban-Parra
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-522, https://doi.org/10.5194/essd-2024-522, 2024
Revised manuscript accepted for ESSD (discussion: closed, 5 comments)
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This work aims to present a series of climate datasets for Sierra Nevada, a region especially vulnerable to climate change in Southern Spain. The database consists of primary climate variables such as precipitation, temperature, radiation, wind speed, pressure, and atmospheric humidity, but also bioclimatic variables and extreme indices, both useful information for assessing the impact of climate change in this region. These datasets are only available on https://doi.org/10.5281/zenodo.14364865
11 Dec 2024
Tracer-based Rapid Anthropogenic Carbon Estimation (TRACE)
Brendan R. Carter, Jörg Schwinger, Rolf Sonnerup, Andrea J. Fassbender, Jonathan D. Sharp, and Larissa M. Dias
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-560, https://doi.org/10.5194/essd-2024-560, 2024
Revised manuscript accepted for ESSD (discussion: closed, 3 comments)
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We infer ocean gas exchange and circulation from ocean tracer measurements and use this to create code to estimate the amount of carbon dioxide dissolved in the ocean that is there due to human emissions of CO2 into the atmosphere. The code works across the ocean depths for the past, present, or future from information about the location, temperature, and saltiness of the seawater. We produce a data product with estimates throughout the ocean throughout the last ~300 and next ~500 years.
10 Dec 2024
Long-term Ruminant Livestock Distribution Datasets in Grazing Livestock Production Systems in China from 2000 to 2021 (CLRD-GLPS)
Ning Zhan, Tao Ye, Mario Herrero, Jian Peng, Weihang Liu, and Heng Ma
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-534, https://doi.org/10.5194/essd-2024-534, 2024
Manuscript not accepted for further review (discussion: closed, 2 comments)
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The CLRD-GLPS dataset, mapping China’s annual distribution of ruminant livestock in grazing systems from 2000 to 2021, includes key advancements: (1) segmentation of grazing ruminant livestock from total livestock, (2) categorizing grazing pastures into warm-season, cold-season, and year-round types, and (3) analyze and explain spatial-temporal patterns. These innovations improve understanding of livestock seasonal dynamics and provide data for effective livestock management and policy-making.
10 Dec 2024
Regional scale shear wave velocity profiles for ground response analyses uncertainties evaluations – the Piedmont Region (NW Italy) Database
Cesare Comina, Guido Maria Adinolfi, Carlo Bertok, Andrea Bertea, Vittorio Giraud, and Pierluigi Pieruccini
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-413, https://doi.org/10.5194/essd-2024-413, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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Estimates of earthquake ground motions rely on evaluating soil and rock profiles, with shear wave velocity (Vs) as a key factor. Uncertainty in Vs impacts seismic hazard predictions. Stochastic procedures model this uncertainty, but must be calibrated using detailed geological data and Vs databases. This paper provides a new Vs profile database for Piedmont (NW Italy), integrating geological modeling and geophysical data, supporting similar studies in other regions.
09 Dec 2024
Normalized Difference Vegetation Index Maps of Pure Pixels over China's mainland for Estimation of Fractional Vegetation Cover
Tian Zhao, Wanjuan Song, Xihan Mu, Yun Xie, Donghui Xie, and Guangjian Yan
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-535, https://doi.org/10.5194/essd-2024-535, 2024
Preprint under review for ESSD (discussion: final response, 2 comments)
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Our research aimed to provide reliable data for measuring fractional vegetation cover, essential for understanding climate patterns and ecological health. We used the MultiVI algorithm, which employs satellite images from various angles to enhance accuracy. Our method outperformed traditional statistical methods compared to field measurements, enabling precise large-scale mapping of vegetation cover for improved environmental monitoring and planning.
06 Dec 2024
GHRSAT: the first global hourly dataset of all-sky remotely sensed estimates of surface air temperature
Zhenwei Zhang, Ke Wang, Chen Liang, Zihan You, and Zishang Yi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-548, https://doi.org/10.5194/essd-2024-548, 2024
Revised manuscript not accepted (discussion: closed, 6 comments)
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Reconstructing spatial surface air temperature based on remotely sensed data is critically important for various fields. Our work developed the models by the hybrid scheme that integrates machine learning and spatial kriging for reconstructing the product of all-sky hourly estimates of surface air temperature for global land areas. The models for the product were fully validated and analyzed. The scheme for generating the product has the general practicability of applications.
06 Dec 2024
An expert survey on chamber measurement techniques for methane fluxes
Katharina Jentzsch, Lona van Delden, Matthias Fuchs, and Claire C. Treat
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-381, https://doi.org/10.5194/essd-2024-381, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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Methane is a greenhouse gas that contributes to global warming, but we do not fully understand how much is released from natural sources like wetlands. To measure methane over large areas, many measurements are needed, often from small chambers that are placed on the ground. However, different researchers use different measurement setups, making it hard to combine data. We surveyed 36 researchers about their methods, summarized the responses, and identified ways to make the data more comparable.
05 Dec 2024
An observational record of global gridded near surface air temperature change over land and ocean from 1781
Colin Peter Morice, David I. Berry, Richard C. Cornes, Kathryn Cowtan, Thomas Cropper, Ed Hawkins, John J. Kennedy, Timothy J. Osborn, Nick A. Rayner, Beatriz R. Rivas, Andrew P. Schurer, Michael Taylor, Praveen R. Teleti, Emily J. Wallis, Jonathan Winn, and Elizabeth C. Kent
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-500, https://doi.org/10.5194/essd-2024-500, 2024
Preprint under review for ESSD (discussion: final response, 10 comments)
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We present a new data set of global gridded surface air temperature change extending back to the 1780s. This is achieved using marine air temperature observations with newly available estimates of diurnal heating biases together with an updated land station database that includes bias adjustments for early thermometer enclosures. These developments allow the data set to extend further into the past than current data sets that use sea surface temperature rather than marine air temperature data.
05 Dec 2024
An integrated high-resolution bathymetric model for the Danube Delta system
Lauranne Alaerts, Jonathan Lambrechts, Ny Riana Randresihaja, Luc Vandenbulcke, Olivier Gourgue, Emmanuel Hanert, and Marilaure Grégoire
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-529, https://doi.org/10.5194/essd-2024-529, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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We created the first comprehensive, high-resolution, and easily-accessible bathymetry dataset for the three main branches of the Danube Delta. By combining four data sources, we obtained a detailed representation of the riverbed, with resolutions ranging from 2 to 100 m. This dataset will support future studies on water and nutrient exchanges between the Danube and the Black Sea, and provide insights into the Delta’s buffer role within the understudied Danube-Black Sea continuum.
03 Dec 2024
Permafrost-wildfire interactions: Active layer thickness estimates for paired burned and unburned sites in northern high-latitudes
Anna Talucci, Michael M. Loranty, Jean E. Holloway, Brendan M. Rogers, Heather D. Alexander, Natalie Baillargeon, Jennifer L. Baltzer, Logan T. Berner, Amy Breen, Leya Brodt, Brian Buma, Jacqueline Dean, Clement J. F. Delcourt, Lucas R. Diaz, Catherine M. Dieleman, Thomas A. Douglas, Gerald V. Frost, Benjamin V. Gaglioti, Rebecca E. Hewitt, Teresa Hollingsworth, M. Torre Jorgenson, Mark J. Lara, Rachel A. Loehman, Michelle C. Mack, Kristen L. Manies, Christina Minions, Susan M. Natali, Jonathan A. O'Donnell, David Olefeldt, Alison K. Paulson, Adrian V. Rocha, Lisa B. Saperstein, Tatiana A. Shestakova, Seeta Sistla, Oleg Sizov, Andrey Soromotin, Merritt R. Turetsky, Sander Veraverbeke, and Michelle A. Walvoord
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-526, https://doi.org/10.5194/essd-2024-526, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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Wildfires have the potential to accelerate permafrost thaw and the associated feedbacks to climate change. We assembled a data set of permafrost thaw depth measurements from burned and unburned sites contributed by researchers from across the northern high latitude region. We estimated maximum thaw depth for each measurement, which addresses a key challenge: the ability to assess impacts of wildfire on maximum thaw depth when measurement timing varies.
28 Nov 2024
Global database of actual nitrogen loss rates in coastal and marine sediments
Yongkai Chang, Ehui Tan, Dengzhou Gao, Cheng Liu, Zongxiao Zhang, Zhixiong Huang, Jianan Liu, Yu Han, Zifu Xu, Bin Chen, and Shuh-Ji Kao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-539, https://doi.org/10.5194/essd-2024-539, 2024
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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Denitrification and anaerobic ammonium oxidation (anammox) are two important nitrogen removal pathways by converting reactive nitrogen into dinitrogen gas. Here we construct a global database on actual nitrogen loss rates, covering over 30 years of observations, measured in coastal and marine sediments. This work provides a global overview of the biogeography and potential controlling factors of denitrification and anammox, and highlights the potential applications of this database.
27 Nov 2024
Benchmark dataset for hydraulic simulations of flash floods in the French Mediterranean region
Juliette Godet, Pierre Nicolle, Nabil Hocini, Eric Gaume, Philippe Davy, Frederic Pons, Pierre Javelle, Pierre-André Garambois, Dimitri Lague, and Olivier Payrastre
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-472, https://doi.org/10.5194/essd-2024-472, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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This paper describes a dataset that includes input, output, and validation data for the simulation of flash flood hazards and three specific flash flood events in the French Mediterranean region. This dataset is particularly valuable as flood mapping methods often lack sufficient benchmark data. Additionally, we demonstrate how the hydraulic method we used, named Floodos, produces highly satisfactory results.
27 Nov 2024
Global basic landform units derived from multi-source digital elevation models at 1 arc-second resolution
Xin Yang, Sijin Li, Junfei Ma, Yang Chen, Xingyu Zhou, Fayuan Li, Liyang Xiong, Chenghu Zhou, Guoan Tang, and Michael Meadows
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-401, https://doi.org/10.5194/essd-2024-401, 2024
Revised manuscript under review for ESSD (discussion: final response, 6 comments)
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Surveys of global landforms are important for understanding the internal and external dynamic information during the planet's evolution. This study proposes a novel framework for global landform classification and releases a novel dataset called Global Basic Landform Units (GBLU) with 1 arc-second resolution. this dataset can provide abundant and detailed geomorphological information for the field of earth sciences, facilitating further advancements in related research.
27 Nov 2024
A benchmark dataset for global evapotranspiration estimation based on FLUXNET2015 from 2000 to 2022
Wangyipu Li, Zhaoyuan Yao, Yifan Qu, Hanbo Yang, Yang Song, Lisheng Song, Lifeng Wu, and Yaokui Cui
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-460, https://doi.org/10.5194/essd-2024-460, 2024
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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Due to shortcomings such as extensive data gaps and limited observation durations in current ground-based latent heat flux (LE) datasets, we developed a novel gap-filling and prolongation framework for ground-based LE observations, establishing a benchmark dataset for global evapotranspiration (ET) estimation from 2000 to 2022 across 64 sites at various time scales. This comprehensive dataset can strongly support ET modelling, water-carbon cycle monitoring, and long-term climate change analysis.
26 Nov 2024
A Global Classification Dataset of Daytime and Nighttime Marine Low-cloud Mesoscale Morphology Based on Deep Learning Methods
Yuanyuan Wu, Jihu Liu, Yannian Zhu, Yu Zhang, Yang Cao, Kang-En Huang, Boyang Zheng, Yichuan Wang, Yanyun Li, Quan Wang, Chen Zhou, Yuan Liang, Jianning Sun, Minghuai Wang, and Daniel Rosenfeld
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-536, https://doi.org/10.5194/essd-2024-536, 2024
Revised manuscript accepted for ESSD (discussion: closed, 7 comments)
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In this paper, based on deep learning method, we established a global classification dataset of daytime and nighttime marine low-cloud mesoscale morphology. It aims to promote a comprehensive understanding of the cloud dynamics and cloud-climate feedback. Closed mesoscale cellular convection (MCC) clouds occur more frequently at night, while suppressed cumulus exhibit remarkable decrease. Solid stratus and MCC cloud types show clear seasonal variations.
25 Nov 2024
Multi-temporal high-resolution data products of ecosystem structure derived from country-wide airborne laser scanning surveys of the Netherlands
Yifang Shi and W. Daniel Kissling
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-488, https://doi.org/10.5194/essd-2024-488, 2024
Revised manuscript under review for ESSD (discussion: final response, 3 comments)
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We present a new set of multi-temporal LiDAR metrics of ecosystem structure derived from four national ALS surveys of the Netherlands (AHN1–AHN4), capturing vegetation height, cover, and structural variability over the past two decades (1998–2022). Around 70 TB point clouds have been processed to read-to-use raster layers at 10 m resolution (~ 59 GB), enabling a wide use and uptake of ecosystem structure information in biodiversity and habitat monitoring, ecosystem and carbon dynamic modelling.
25 Nov 2024
Global spatially-distributed sectoral GDP map for disaster risk analysis
Takeshi Shoji, Dai Yamazaki, Yuki Kita, and Megumi Watanabe
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-503, https://doi.org/10.5194/essd-2024-503, 2024
Preprint under review for ESSD (discussion: final response, 4 comments)
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This study developed high-resolution global maps of sector-specific GDP for 2010, 2015, and 2020, allowing better assessment of economic loss from disasters like floods. The new maps showed improved accuracy in reflecting local economies, revealing that sectoral GDP distribution differs by country and affects disaster impact estimates.
25 Nov 2024
Global and National CO2 Uptake by Cement Carbonation from 1928 to 2024
Le Niu, Songbin Wu, Robbie M. Andrew, Zi Shao, Jiaoyue Wang, and Fengming Xi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-437, https://doi.org/10.5194/essd-2024-437, 2024
Revised manuscript accepted for ESSD (discussion: closed, 13 comments)
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This study provides a precise bottom-up quantification to cement carbonation sinks at national and global levels. It shows the global CO2 uptake by cement materials increases from 7.74 Mt yr-1 in 1928 to 0.84 Gt yr-1 in 2023, and projected to rise to 0.86 Gt yr-1 in 2024, the accumulated CO2 uptake offsets about 46 % of the cement process emission. The dominance in cement carbon uptake has shifted from the USA, Japan and some European countries to emerging economies such as China and India.
25 Nov 2024
Landscape reconstructions for Europe during the late Last Glacial (60–20 ka BP): A pollen-based REVEALS approach
Oliver A. Kern, Andreas Maier, and Nikki Vercauteren
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-306, https://doi.org/10.5194/essd-2024-306, 2024
Preprint under review for ESSD (discussion: open, 1 comment)
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We provide vegetation reconstructions during the Last Glacial period (60,000 to 20,000 years before present) using fossil pollen data and the REVEALS model. Understanding vegetation change in response to abrupt climate change is critical to enhance our understanding plant migration patterns and the demographic development and dispersal of anatomically modern humans into Europe. Our application PALVEG (https://oakern.shinyapps.io/PALVEG/), aims to make such data accessible to non-experts.
22 Nov 2024
Four-dimensional aircraft emission inventory dataset of Landing and takeoff cycle in China (2019–2023)
Jianlei Lang, Zekang Yang, Ying Zhou, Chaoyu Wen, and Xiaoqing Cheng
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-494, https://doi.org/10.5194/essd-2024-494, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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This study established a four-dimensional (hourly, 0.03° × 0.03° × 34 height layers) aircraft emission inventory dataset in the Landing and takeoff cycle for China during 2019–2023, considering actual running time and flight trajectory. The dataset reflects unique horizontal and height spatial characteristics and hourly temporal variations of aircraft emissions and the impact of COVID-19 on the emissions, providing essential information for environmental analysis and policy decisions.
21 Nov 2024
The European Forest Disturbance Atlas: a forest disturbance monitoring system using the Landsat archive
Alba Viana-Soto and Cornelius Senf
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-361, https://doi.org/10.5194/essd-2024-361, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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Europe's forests are undergoing complex changes in response to increasing disturbances driven by climate and land use changes. We present here the European Forest Disturbance Atlas, a satellite-based approach for mapping annual forest disturbances across continental Europe since 1985. Maps provide insights into the year of disturbance occurrence, the actual frequency of disturbances, severity and the underlying causal agent, thus contributing to a future monitoring system envisioned for Europe.
20 Nov 2024
Smoothed monthly Greenland ice sheet elevation changes during 2003–2023
Shfaqat A. Khan, Helene Seroussi, Mathieu Morlighem, William Colgan, Veit Helm, Gong Cheng, Danjal Berg, Valentina R. Barletta, Nicolaj K. Larsen, William Kochtitzky, Michiel van den Broeke, Kurt H. Kjær, Andy Aschwanden, Brice Noël, Jason E. Box, Joseph A. MacGregor, Robert S. Fausto, Kenneth D. Mankoff, Ian M. Howat, Kuba Oniszk, Dominik Fahrner, Anja Løkkegaard, Eigil Y. H. Lippert, and Javed Hassan
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-348, https://doi.org/10.5194/essd-2024-348, 2024
Revised manuscript accepted for ESSD (discussion: closed, 8 comments)
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The surface elevation of the Greenland Ice Sheet is changing due to surface mass balance processes and ice dynamics, each exhibiting distinct spatiotemporal patterns. Here, we employ satellite and airborne altimetry data with fine spatial (1 km) and temporal (monthly) resolutions to document this spatiotemporal evolution from 2003 to 2023. This dataset of fine-resolution altimetry data in both space and time will support studies of ice mass loss and useful for GIS ice sheet modelling.
14 Nov 2024
19th–20th century semi-quantitative surface ozone along subtropical Europe to tropical Africa Atlantic coasts
Juan A. Añel, Juan-Carlos Antuña-Marrero, Antonio Cid Samamed, Celia Pérez-Souto, Laura de la Torre, Maria Antonia Valente, Yuri Brugnara, Alfonso Saiz-López, and Luis Gimeno
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-366, https://doi.org/10.5194/essd-2024-366, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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Ozone, discovered in 1837, was first measured in 1847 using paper strips that reacted with ozone, providing an indication of its concentration based on color changes. Here we present the data, covering over sixty years of daily observations, conducted along the East Atlantic coast, spanning from the tropics to the northern extratropics.
13 Nov 2024
GRDC-Caravan: extending Caravan with data from the Global Runoff Data Centre
Claudia Färber, Henning Plessow, Simon Mischel, Frederik Kratzert, Nans Addor, Guy Shalev, and Ulrich Looser
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-427, https://doi.org/10.5194/essd-2024-427, 2024
Preprint under review for ESSD (discussion: final response, 5 comments)
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Large-sample datasets are essential in hydrological science to support modelling studies and advance process understanding. Caravan is a community initiative to create a large-sample hydrology dataset of meteorological forcing data, catchment attributes, and discharge data for catchments around the world. This dataset is a subset of hydrological discharge data and station-based watersheds from the Global Runoff Data Centre (GRDC), which are covered by an open data policy.
13 Nov 2024
An Updated Reconstruction of Antarctic Near-Surface Air Temperatures at Monthly Intervals Since 1958
David Bromwich, Sheng-Hung Wang, Xun Zou, and Alexandra Ensign
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-353, https://doi.org/10.5194/essd-2024-353, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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Antarctica is a major player in Earth’s climate with the most direct influence arising from its potential to raise global sea level by a meter or more in the coming decades. Near-surface air temperature is the primary variable used to monitor the climate of this remote but important region. Continent-wide direct but sparse measurements that started around 1958 are used to construct a monthly air temperature data set for all of Antarctica spanning 1958–2022.
13 Nov 2024
ARGO: ARctic greenhouse Gas Observation metadata version 1
Judith Vogt, Martijn M. T. A. Pallandt, Luana S. Basso, Abdullah Bolek, Kseniia Ivanova, Mark Schlutow, Gerardo Celis, McKenzie Kuhn, Marguerite Mauritz, Edward A. G. Schuur, Kyle Arndt, Anna-Maria Virkkala, Isabel Wargowsky, and Mathias Göckede
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-456, https://doi.org/10.5194/essd-2024-456, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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We present ARGO, a meta-dataset of greenhouse gas observations in Arctic and boreal regions including information about sites where greenhouse gases were measured across different measurement techniques. This dataset provides a novel repository for metadata to facilitate synthesis efforts for regions experiencing rapid environmental change. The meta-dataset shows where measurements lack and will be updated as new measurements are made public.
13 Nov 2024
The Italian Archive of Historical Earthquake Data, ASMI
Andrea Rovida, Mario Locati, Andrea Antonucci, and Romano Camassi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-467, https://doi.org/10.5194/essd-2024-467, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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ASMI, the Italian Archive of Historical Earthquake Data, is a data collection that provides seismological data on more than 6600 earthquakes that occurred in Italy and surrounding between 461 BC and today, based on more than 460 data sources. ASMI distributes in diverse ways and formats earthquake parameters, sets of macroseismic intensity, together with the bibliographical reference of the data source and, if possible the data source itself.
13 Nov 2024
PL1GD-T – gridded dataset of the mean, minimum and maximum daily air temperature at the level of 2 m for the area of Poland at a resolution of 1 km × 1 km
Adam Jaczewski, Michał Marosz, and Mirosław Miętus
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-433, https://doi.org/10.5194/essd-2024-433, 2024
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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This paper introduces a high-resolution dataset of daily air temperatures in Poland from 1951 to 2020, with a 1 km2 spatial resolution. PL1GD-T dataset was developed using radial basis functions applied to quality-controlled observations from ground weather stations and evaluated using cross-validation methods. This open-access dataset is crucial for climate change impact studies on a smaller scale and can serve a wide range of users, including researchers, administrative bodies, and society.
12 Nov 2024
Soil organic carbon maps and associated uncertainty at 90 m for peninsular Spain
Pilar Durante, Juan Miguel Requena-Mullor, Rodrigo Vargas, Mario Guevara, Domingo Alcaraz-Segura, and Cecilio Oyonarte
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-431, https://doi.org/10.5194/essd-2024-431, 2024
Manuscript not accepted for further review (discussion: closed, 10 comments)
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Human activities have disrupted the global carbon cycle, increasing CO2 levels. Soils are the largest carbon stores on land, making it essential to understand how much carbon they hold to fight climate change. Our study improved estimates of soil carbon in peninsular Spain by integrating historical soil data and using machine-learning methods to create detailed maps of carbon content. These maps will help manage soil carbon better and support efforts to track carbon emissions globally.
11 Nov 2024
A high-quality Data Set for seismological studies in the East Anatolian Fault Zone, Türkiye
Leonardo Colavitti, Dino Bindi, Gabriele Tarchini, Davide Scafidi, Matteo Picozzi, and Daniele Spallarossa
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-448, https://doi.org/10.5194/essd-2024-448, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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This work describes a dataset of 5 years of earthquakes with magnitude range 2.0–5.5 from January 2019 along the East Anatolian Fault, Türkiye. All events were located using the Non-Linear Location algorithm, providing reliable horizontal locations and depths. The distributed product includes Fourier Amplitude Spectra, Peak Ground Acceleration and Peak Ground Velocity; we strongly believe that the creation of high-quality, open-source datasets is crucial for any seismological investigation.
11 Nov 2024
A continual learning-based multilayer perceptron for improved reconstruction of three-dimensional nitrate concentration
Xiang Yu, Huadong Guo, Jiahua Zhang, Yi Ma, Xiaopeng Wang, Guangsheng Liu, Mingming Xing, Nuo Xu, and Ayalkibet Seka
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-508, https://doi.org/10.5194/essd-2024-508, 2024
Revised manuscript accepted for ESSD (discussion: closed, 3 comments)
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Mapping the 3D distribution of oceanic nitrate is challenging. We developed a continual learning-based multilayer perceptron, integrating prior knowledge from numerical models and Biogeochemical Argo validation to reconstruct the pan-European 3D nitrate field from 2010 to 2023 (0–2000 m depth, monthly, 0.25° horizontal resolution) using sea surface environmental features. This dataset helps bridge observational gaps and enhances understanding of the ocean's interior environment.
07 Nov 2024
Annual river dataset in China: a new product with a 10 m spatial resolution from 2016 to 2023
Kaifeng Peng, Beibei Si, Weiguo Jiang, Meihong Ma, and Xuejun Wang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-468, https://doi.org/10.5194/essd-2024-468, 2024
Manuscript not accepted for further review (discussion: closed, 5 comments)
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We produced the 10-m China River Extent Dataset (CRED), achieving an overall accuracy exceeding 96.8 %, Data comparisons with existing river-related datasets shown the reliability and superiority of CRED. The spatial-temporal changes of China’s river from 2016 to 2023 were revealed, such as the decreased rivers most distributed in Southeast China, while the increased rivers most located in Central and Northeast China. The CRED can support applications related to river protection sustainable use.
07 Nov 2024
A monthly Arctic sea ice thickness product from 1995 to 2023 using multiple radar altimetry data
Feng Xiao, Shengkai Zhang, Jiaxing Li, Tong Geng, Tingguo Lu, Hui Luo, and Fei Li
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-321, https://doi.org/10.5194/essd-2024-321, 2024
Revised manuscript under review for ESSD (discussion: final response, 6 comments)
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In this study, we developed a new Arctic sea ice thickness (SIT) product for the period from 1995 to 2023 by combining multiple radar altimetry data. The SIT dataset is compared with observations from upward-looking sonars and airborne laser altimetry from Operation IceBridge, as well as seven publicly released Arctic SIT products. Generally, the newly developed SIT product shows good performance in terms of time series, spatial resolution, and accuracy compared with existing products.
30 Oct 2024
POPE: a Global Gridded Emission Inventory for PFAS 1950–2020
Pascal Simon, Martin Otto Paul Ramacher, Stefan Hagemann, Volker Matthias, Hanna Joerss, and Johannes Bieser
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-236, https://doi.org/10.5194/essd-2024-236, 2024
Preprint under review for ESSD (discussion: final response, 4 comments)
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Per- and Polyfluorinated Alkyl Substances (PFAS) constitute a group of often toxic, persistent, and bioaccumulative substances. We constructed a global Emissions model and inventory based on multiple datasets for 23 widely used PFAS. The model computes temporally and spatially resolved model ready emissions distinguishing between emissions to air and emissions to water covering the time span from 1950 up until 2020 on an annual basis to be used for chemistry transport modelling.
30 Oct 2024
Global gridded NOx emissions using TROPOMI observations
Anthony Rey-Pommier, Alexandre Héraud, Frédéric Chevallier, Philippe Ciais, Theodoros Christoudias, Jonilda Kushta, and Jean Sciare
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-410, https://doi.org/10.5194/essd-2024-410, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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In this study, we estimate emissions of nitrogen oxides (NOx) in 2022 at high-resolution at the global scale, using satellite observations. We provide maps of the emissions and identify several types of sources. Our results are similar to the EDGAR emission inventory. However, differences are found in countries with lower observation densities and lower emissions.
30 Oct 2024
Deep convection lifecycle characteristics: a database from GoAmazon experiment
Camila da Cunha Lopes, Rachel Ifanger Albrecht, Douglas Messias Uba, Thiago Souza Biscaro, and Ivan Saraiva
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-438, https://doi.org/10.5194/essd-2024-438, 2024
Preprint under review for ESSD (discussion: final response, 4 comments)
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This study used observations collected during The Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) Experiment to create a database of storms and thunderstorms characteristics with weather radar and lightning measurements. These storms have different sizes and durations between wet and dry seasons as well as throughout the day, with the most intense ones occurring in the dry-to-wet transition. This database is useful in future studies on Amazonian clouds.
29 Oct 2024
Distribution and Characteristics of Lightning-Ignited Wildfires in Boreal Forests – the BoLtFire database
Brittany Engle, Ivan Bratoev, Morgan A. Crowley, Yanan Zhu, and Cornelius Senf
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-465, https://doi.org/10.5194/essd-2024-465, 2024
Revised manuscript accepted for ESSD (discussion: closed, 6 comments)
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The BoLtFire database is a lightning-ignited wildfire dataset that spans the entire boreal forest from 2012–2022 and includes large fires. The dataset was created using a new methodology to match lightnings to wildfires in the boreal region. The dataset encompassing 6,228 fires — 4,186 in Eurasia and 2,042 in North America. This dataset provides new opportunities to model ignition and spread dynamics of boreal wildfires and offers deeper insights into lightning-driven fire activity globally.
28 Oct 2024
Exploring the CO2 fugacity along the east coast of South America aboard the schooner Tara
Léa Olivier, Jacqueline Boutin, Gilles Reverdin, Christopher Hunt, Thomas Linkowski, Alison Chase, Nils Haentjens, Pedro C. Junger, Stephane Pesant, and Douglas Vandemark
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-452, https://doi.org/10.5194/essd-2024-452, 2024
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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The air-sea CO2 flux in coastal waters plays a key role in the global carbon budget, yet remains poorly understood. In 2021, the Tara schooner collected 14,000 km of CO2 fugacity (fCO2) data along the South American coast. This dataset improves our understanding of fCO2 in the under-sampled Brazilian coastal region, and provides a unique insight into the complex biogeochemistry of the Amazon River-Ocean continuum.
28 Oct 2024
GloUCP: A global 1 km spatially continuous urban canopy parameters for the WRF model
Weilin Liao, Yanman Li, Xiaoping Liu, Yuhao Wang, Yangzi Che, Ledi Shao, Guangzhao Chen, Hua Yuan, Ning Zhang, and Fei Chen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-408, https://doi.org/10.5194/essd-2024-408, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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The currently available urban canopy parameter (UCP) datasets are limited to just a few cities for urban climate simulations by the Weather Research and Forecasting (WRF) model. To address this gap, we develop a global 1 km spatially continuous UCP dataset (GloUCP), which provides superior spatial coverage and higher accuracy in capturing urban morphology across diverse regions. It has great potential to support further advancements in urban climate modeling and related applications.
28 Oct 2024
A full-coverage daily XCO2 dataset in China from 2015 to 2020 based on DSC-DF-LGB
Xinfeng Huang, Hui Yang, Qingzhou Lv, Huaiwei Fan, Liu Cui, Yina Qiao, Yuejing Yao, and Gefei Feng
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-371, https://doi.org/10.5194/essd-2024-371, 2024
Manuscript not accepted for further review (discussion: closed, 2 comments)
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XCO2 is the atmospheric CO2 column concentration, mainly measured by satellite instrument. However, the XCO2 retrieved from satellite sensors is spatially discontinuous and has long time intervals. In this study, we generated a spatiotemporal continuous XCO2 dataset based on machine learning models, which has high temporal and spatial resolution. This dataset can be used for in-depth research on carbon sources and sinks.
25 Oct 2024
A full-coverage satellite-based global atmospheric CO2 dataset at 0.05° resolution from 2015 to 2021 for exploring global carbon dynamics
Zhige Wang, Ce Zhang, Kejian Shi, Yulin Shangguan, Bifeng Hu, Xueyao Chen, Danqing Wei, Songchao Chen, Peter M. Atkinson, and Qiang Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-315, https://doi.org/10.5194/essd-2024-315, 2024
Preprint under review for ESSD (discussion: final response, 2 comments)
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The irreversible trend in global warming underscores the necessity for accurate monitoring of atmospheric carbon dynamics on a global scale. This study generated a global dataset of column-averaged dry-air mole fraction of CO2 (XCO2) at 0.05° resolution with full coverage using carbon satellite data and a deep learning model. The dataset accurately depicts global and regional XCO2 patterns, advancing the monitoring of carbon emissions and understanding of global carbon dynamics.
24 Oct 2024
Dual-hemisphere sea ice thickness reference measurements from multiple data sources for evaluation and product inter-comparison of satellite altimetry
Ida Birgitte Lundtorp Olsen, Henriette Skourup, Heidi Sallila, Stefan Hendricks, Renée Mie Fredensborg Hansen, Stefan Kern, Stephan Paul, Marion Bocquet, Sara Fleury, Dmitry Divine, and Eero Rinne
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-234, https://doi.org/10.5194/essd-2024-234, 2024
Preprint under review for ESSD (discussion: final response, 8 comments)
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Discover the latest advancements in sea ice research with our comprehensive Climate Change Initiative (CCI) sea ice thickness (SIT) Round Robin Data Package (RRDP). This pioneering collection contains reference measurements from 1960 to 2022 from airborne sensors, buoys, visual observations and sonar and covers the polar regions from 1993 to 2021, providing crucial reference measurements for validating satellite-derived sea ice thickness.
23 Oct 2024
HHU24SWDSCS: A shallow-water depth model over island areas in South China Sea retrieved from Satellite-derived bathymetry
Yihao Wu, Hongkai Shi, Dongzhen Jia, Ole Baltazar Andersen, Xiufeng He, Zhicai Luo, Yu Li, Shiyuan Chen, Xiaohuan Si, Sisu Diao, Yihuang Shi, and Yanglin Chen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-443, https://doi.org/10.5194/essd-2024-443, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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We developed a high-quality and cost-effective shallow-water depth model for >120 islands in the South China Sea, using ICESat-2 and Sentinel-2 satellite data. This model accurately maps water depths with an accuracy of ~1 m. Our findings highlight the limitations of existing global bathymetry models in shallow regions. Our model exhibited superior performance in capturing fine-scale bathymetric features with unprecedented spatial resolution, providing essential data for marine applications.
21 Oct 2024
Elevation Change of the Greenland Ice Sheet and its Peripheral Glaciers: 1992–2023
Johan Nilsson and Alex S. Gardner
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-311, https://doi.org/10.5194/essd-2024-311, 2024
Preprint under review for ESSD (discussion: final response, 4 comments)
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Integrating data from multiple satellite altimetry missions, we analyzed Greenland’s peripheral glaciers and Ice Sheet (GrIS) from 1992–2023. Our methodology ensures consistent, reliable elevation change data, now publicly available via NASA's ITS_LIVE project. The GrIS lost an average of -173 ± 19 Gt a-1 and peripheral glaciers -23 ± 5 Gt a-1 from 1992–2022. The study highlights the importance of continued monitoring to understand climate change impacts on Earth's Cryosphere.
21 Oct 2024
Global high-resolution fire-sourced PM2.5 concentrations for 2000–2023
Yonghang Hu, Chenguang Tian, Xu Yue, Yadong Lei, Yang Cao, Rongbin Xu, and Yuming Guo
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-414, https://doi.org/10.5194/essd-2024-414, 2024
Revised manuscript under review for ESSD (discussion: final response, 6 comments)
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We develop a global dataset of daily fire-sourced PM2.5 concentration at a spatial resolution of 0.25° for 2000–2023, using a chemical transport model driven with two fire emission inventories and a machine learning approach trained with ground measurements from over 9000 sites. The dataset shows significant spatiotemporal variations of fire PM2.5 in the past decades, serving a useful tool for exploring the impacts of fire-related air pollutants on climate, ecosystems, and public health.
18 Oct 2024
Estimation of Long-term Gridded Cloud Radiative Kernel and Radiative Effects Based on Cloud Fraction
Xinyan Liu, Tao He, Qingxin Wang, Xiongxin Xiao, Yichuan Ma, Yanyan Wang, Shanjun Luo, Lei Du, and Zhaocong Wu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-458, https://doi.org/10.5194/essd-2024-458, 2024
Revised manuscript accepted for ESSD (discussion: closed, 7 comments)
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This study addresses the challenge of how clouds affect the Earth's energy balance, which is vital for understanding climate change. We developed a new method to create long-term cloud radiative kernels to improve the accuracy of sunlight reaching the surface, which significantly reduces errors. Findings suggest that prior estimates of cloud cooling effects may have been overstated, emphasizing the need for better strategies to manage climate change impacts in the Arctic.
18 Oct 2024
ReefTEMPS: The Pacific Islands Coastal Temperature Network
Romain Le Gendre, David Varillon, Sylvie Fiat, Régis Hocdé, Antoine De Ramon N'Yeurt, Jérôme Aucan, Sophie Cravatte, Maxime Duphil, Alexandre Ganachaud, Baptiste Gaudron, Elodie Kestenare, Vetea Liao, Bernard Pelletier, Alexandre Peltier, Anne-Lou Schaefer, Thomas Trophime, Simon Van Wynsberge, Yves Dandonneau, Michel Allenbach, and Christophe Menkes
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-394, https://doi.org/10.5194/essd-2024-394, 2024
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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Due to ocean warming, coral reef ecosystems are strongly impacted with dystrophic events and corals experiencing increasing frequencies of bleaching events. In-situ observation remains the best alternative for accurate characterization of trends and extremes in these shallow environments. This paper presents the coastal temperature dataset of the ReefTEMPS monitoring network which spreads over multiple Pacific Island Countries and Territories (PICTS) in the Western and Central South Pacific.
18 Oct 2024
Dheed: an ERA5 based global database of dry and hot extreme events from 1950 to 2022
Mélanie Weynants, Chaonan Ji, Nora Linscheid, Ulrich Weber, Miguel D. Mahecha, and Fabian Gans
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-396, https://doi.org/10.5194/essd-2024-396, 2024
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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Climate extremes are intensifying. The impacts of heatwaves and droughts can be made worse when they happen at the same time. Dheed is a global database of dry and hot compound extreme events from 1950 to 2022. It can be combined with other data to study the impacts of those events on terrestrial ecosystems, specific species or human societies. Dheed's analysis confirms that extremely dry and hot days have become more common on all continents in recent decades, especially in Europe and Africa.
17 Oct 2024
Soil and stem xylem water isotope data from two pan-European sampling campaigns
Marco M. Lehmann, Josie Geris, Ilja van Meerveld, Daniele Penna, Youri Rothfuss, Matteo Verdone, Pertti Ala-Aho, Matyas Arvai, Alise Babre, Philippe Balandier, Fabian Bernhard, Lukrecija Butorac, Simon Damien Carrière, Natalie C. Ceperley, Zuosinan Chen, Alicia Correa, Haoyu Diao, David Dubbert, Maren Dubbert, Fabio Ercoli, Marius G. Floriancic, Teresa E. Gimeno, Damien Gounelle, Frank Hagedorn, Christophe Hissler, Frédéric Huneau, Alberto Iraheta, Tamara Jakovljević, Nerantzis Kazakis, Zoltan Kern, Karl Knaebel, Johannes Kobler, Jiří Kocum, Charlotte Koeber, Gerbrand Koren, Angelika Kübert, Dawid Kupka, Samuel Le Gall, Aleksi Lehtonen, Thomas Leydier, Philippe Malagoli, Francesca Sofia Manca di Villahermosa, Chiara Marchina, Núria Martínez-Carreras, Nicolas Martin-StPaul, Hannu Marttila, Aline Meyer Oliveira, Gaël Monvoisin, Natalie Orlowski, Kadi Palmik-Das, Aurel Persoiu, Andrei Popa, Egor Prikaziuk, Cécile Quantin, Katja T. Rinne-Garmston, Clara Rohde, Martin Sanda, Matthias Saurer, Daniel Schulz, Michael Paul Stockinger, Christine Stumpp, Jean-Stéphane Venisse, Lukas Vlcek, Stylianos Voudouris, Björn Weeser, Mark E. Wilkinson, Giulia Zuecco, and Katrin Meusburger
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-409, https://doi.org/10.5194/essd-2024-409, 2024
Preprint under review for ESSD (discussion: open, 0 comments)
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This study describes a unique large-scale isotope dataset to study water dynamics in European forests. Researchers collected data from 40 beech and spruce forest sites in spring and summer 2023, using a standardized method to ensure consistency. The results show that water sources for trees change between seasons and vary by tree species. This large dataset offers valuable information for understanding plant water use, improving ecohydrological models, and mapping water cycles across Europe.
17 Oct 2024
The GIEMS-MethaneCentric database: a dynamic and comprehensive global product of methane-emitting aquatic areas
Juliette Bernard, Catherine Prigent, Carlos Jimenez, Etienne Fluet-Chouinard, Bernhard Lehner, Elodie Salmon, Philippe Ciais, Zhen Zhang, Shushi Peng, and Marielle Saunois
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-466, https://doi.org/10.5194/essd-2024-466, 2024
Revised manuscript accepted for ESSD (discussion: closed, 6 comments)
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Wetlands are responsible for about a third of global emissions of methane, a potent greenhouse gas. We have developed the GIEMS-MethaneCentric (GIEMS-MC) dataset to represent the dynamics of wetland extent on a global scale (0.25°x0.25° resolution, monthly time step). This updated resource combines satellite data and existing wetland databases, covering 1992 to 2020. Consistent maps of other methane-emitting surface waters (lakes, rivers, reservoirs, rice paddies) are also provided.
16 Oct 2024
XBT data collected along the Southern Ocean “chokepoint” between New Zealand and Antarctica, 1994–2024
Giuseppe Aulicino, Antonino Ian Ferola, Laura Fortunato, Giorgio Budillon, Pasquale Castagno, Pierpaolo Falco, Giannetta Fusco, Naomi Krauzig, Giancarlo Spezie, Enrico Zambianchi, and Yuri Cotroneo
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-417, https://doi.org/10.5194/essd-2024-417, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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This study gathered water temperature data in the last 30 years from several research cruises using XBT probes between New Zealand and the Ross Sea (Antarctica). These observations, collected in the framework of Italian National Antarctic Research Program, were rigorously checked for accuracy and corrected for depth and temperature bias. The public dataset offers valuable information to get insights into the Southern Ocean's climate and improve satellite observations and oceanographic models.
15 Oct 2024
High resolution continuous flow analysis impurity data from the Mount Brown South ice core, East Antarctica
Margaret Harlan, Helle Astrid Kjær, Aylin de Campo, Anders Svensson, Thomas Blunier, Vasileios Gkinis, Sarah Jackson, Christopher Plummer, and Tessa Vance
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-335, https://doi.org/10.5194/essd-2024-335, 2024
Preprint under review for ESSD (discussion: final response, 4 comments)
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This paper provides high-resolution chemistry and impurity measurements from the Mount Brown South ice core in East Antarctica, from 873 to 2009 CE. Measurements include sodium, ammonium, hydrogen peroxide, electrolytic conductivity, and insoluble microparticles. Data are provided on three scales: 1 mm and 3 cm averaged depth resolution and decadally averaged. The paper also describes the continuous flow analysis systems used to collect the data as well as uncertainties and data quality.
11 Oct 2024
PMF-LP: the first 10 m plastic-mulched farmland distribution map (2019–2021) in the Loess Plateau of China generated using training sample generation and classifier transfer method
Cheng Zhao, Yadong Luo, Xiangyu Chen, Linsen Wu, Zhao Wang, Hao Feng, Qiang Yu, and Jianqiang He
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-372, https://doi.org/10.5194/essd-2024-372, 2024
Preprint withdrawn (discussion: closed, 3 comments)
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We firstly produced a dataset of plastic-mulched farmland distributions with a spatial resolution of 10 m for the Loess Plateau of China from 2019 to 2021 (PMF-LP). This dataset demonstrates satisfactory accuracy (F1-score > 0.80) and high consistency with census data. Our dataset provides valuable information for monitoring and mitigating micro-plastic pollution.
10 Oct 2024
A 1985–2023 time series dataset of absolute reservoir storage in Mainland Southeast Asia (MSEA-Res)
Shanti Shwarup Mahto, Simone Fatichi, and Stefano Galelli
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-441, https://doi.org/10.5194/essd-2024-441, 2024
Revised manuscript accepted for ESSD (discussion: closed, 8 comments)
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The MSEA-Res database offers an open-access dataset tracking absolute water storage for 185 large reservoirs across Mainland Southeast Asia from 1985–2023. It provides valuable insights into how reservoir storage has grown by 130 % between 2008 and 2017, driven by dams in key river basins. Our data also reveal how droughts, like the 2019–2020 event, significantly impacted water reservoirs. This resource can aid water management, drought planning, and research globally.
08 Oct 2024
A Global Terrestrial Precipitable Water Vapor Dataset from 2012 to 2020 Based on Microwave Radiation Imager Measurements from Three Fengyun Satellites
Xinran Xia, Rubin Jiang, Min Min, Shengli Wu, Peng Zhang, and Xiangao Xia
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-395, https://doi.org/10.5194/essd-2024-395, 2024
Revised manuscript not accepted (discussion: closed, 4 comments)
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Based on the MicroWave Radiation Imager aboard FY-3 series satellites, we developed a global terrestrial precipitable water vapor dataset from 2012 to 2020. This dataset overcomes the limitations of infrared observations and provides accurate, all-weather PWV data ,spanning all types of land surface. Researchers are expected to leverage it to explore the role of water vapor in weather patterns, refine precipitation forecasting, and validate climate simulations.
08 Oct 2024
A New Database of Extreme European Winter Windstorms
Clare Marie Flynn, Julia Moemken, Joaquim G. Pinto, and Gabriele Messori
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-298, https://doi.org/10.5194/essd-2024-298, 2024
Preprint under review for ESSD (discussion: final response, 3 comments)
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We created a new, publicly available database of the Top 50 most extreme European winter windstorms from each of four different meteorological input data sets covering the years 1995–2015. We found variability in all aspects of our database, from which storms were included in the Top 50 storms for each input to their spatial variability. We urge users of our database to consider the storms as identified from two or more input sources within our database, where possible.
02 Oct 2024
Advancing geodynamic research in Antarctica: Reprocessing GNSS data to infer consistent coordinate time series (GIANT-REGAIN)
Eric Buchta, Mirko Scheinert, Matt A. King, Terry Wilson, Achraf Koulali, Peter J. Clarke, Demián Gómez, Eric Kendrick, Christoph Knöfel, and Peter Busch
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-355, https://doi.org/10.5194/essd-2024-355, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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For nearly three decades, geodetic GPS measurements in Antarctica have tracked bedrock displacement, vital for understanding geodynamic processes like plate motion and glacial isostatic adjustment (GIA). However, the potential of GPS data has been limited by its partially fragmented availability and unreliable metadata. A new dataset, spanning 1995–2021, offers consistently processed coordinate time series for 286 GPS sites, promising to enhance future geodynamic research.
01 Oct 2024
U-Surf: A Global 1 km spatially continuous urban surface property dataset for kilometer-scale urban-resolving Earth system modeling
Yifan Cheng, Lei Zhao, Tirthankar Chakraborty, Keith Oleson, Matthias Demuzere, Xiaoping Liu, Yangzi Che, Weilin Liao, Yuyu Zhou, and Xinchang Li
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-416, https://doi.org/10.5194/essd-2024-416, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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Absence of globally consistent and spatially continuous urban surface properties have long prevented large-scale high-resolution urban climate modeling. We developed the U-Surf data, a 1km-resolution dataset that provides key urban surface properties worldwide. U-Surf enhances urban representation in models, enables city-to-city comparison, and supports kilometer-scale Earth system modeling. Its broader applications can be extended to machine learning and many other non-climatic practices.
01 Oct 2024
The SahulCHAR Collection: A Palaeofire Database for Australia, New Guinea, and New Zealand
Emma Rehn, Haidee Cadd, Scott Mooney, Tim J. Cohen, Henry Munack, Alexandru T. Codilean, Matthew Adeleye, Kristen K. Beck, Mark Constantine IV, Chris Gouramanis, Johanna M. Hanson, Penelope J. Jones, A. Peter Kershaw, Lydia Mackenzie, Maame Maisie, Michela Mariani, Kia Mately, David McWethy, Keely Mills, Patrick Moss, Nicholas R. Patton, Cassandra Rowe, Janelle Stevenson, John Tibby, and Janet Wilmshurst
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-328, https://doi.org/10.5194/essd-2024-328, 2024
Revised manuscript accepted for ESSD (discussion: closed, 5 comments)
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This paper presents SahulCHAR, a new collection of palaeofire (ancient fire) records from Australia, New Guinea, and New Zealand. SahulCHAR Version 1 contains 687 records of sedimentary charcoal or black carbon, including digitized data, records from existing databases, and original author-submitted data. SahulCHAR is a much-needed update on past charcoal compilations that will also provide greater representation of records from this region in future global syntheses to understand past fire.
30 Sep 2024
20 m Africa Rice Distribution Map of 2023
Jingling Jiang, Hong Zhang, Ji Ge, Lijun Zuo, Lu Xu, Minyang Song, Yinhaibin Ding, Yazhe Xie, and Wenjiang Huang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-402, https://doi.org/10.5194/essd-2024-402, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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This study employs temporal SAR data and optical imagery to conduct rice extraction experiments in 34 African countries with annual rice planting areas exceeding 5,000 hectares, achieving 20-meter resolution spatial distribution mapping of rice in Africa for 2023. The average classification accuracy on the validation set exceeded 85 %, and the R² values for linear fitting with existing statistical data all surpassed 0.9, demonstrating the effectiveness of the proposed mapping method.
27 Sep 2024
One year of high frequency monitoring of groundwater physico-chemical parameters in the Weierbach Experimental Catchment, Luxembourg
Karl Nicolaus van Zweel, Laurent Gourdol, Jean François Iffly, Loïc Léonard, François Barnich, Laurent Pfister, Erwin Zehe, and Christophe Hissler
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-259, https://doi.org/10.5194/essd-2024-259, 2024
Revised manuscript accepted for ESSD (discussion: closed, 5 comments)
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Our study monitored groundwater in a Luxembourg forest over a year to understand water and chemical changes. We found seasonal variations in water chemistry, influenced by rainfall and soil interactions. This data helps predict environmental responses and manage water resources better. By measuring key parameters like pH and dissolved oxygen, our research provides valuable insights into groundwater behavior and serves as a resource for future environmental studies.
27 Sep 2024
The ISLAS2020 field campaign: Studying the near-surface exchange process of stable water isotopes during the arctic wintertime
Andrew W. Seidl, Aina Johannessen, Alena Dekhtyareva, Jannis M. Huss, Marius O. Jonassen, Alexander Schulz, Ove Hermansen, Christoph K. Thomas, and Harald Sodemann
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-293, https://doi.org/10.5194/essd-2024-293, 2024
Preprint under review for ESSD (discussion: final response, 2 comments)
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ISLAS2020 set out to measure the stable water isotopic composition of Arctic moisture. By not only measuring at different sites around Ny-Ålesund, Svalbard, but also measuring at variable heights above surface level, we aim to characterize processes that produce or modify the isotopic composition. We also collect precipitation samples from sites that were typically downstream of Ny-Ålesund, so as to capture the isotopic composition during removal from the atmospheric water cycle.
25 Sep 2024
Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM)
Peyman Saemian, Omid Elmi, Molly Stroud, Ryan Riggs, Benjamin M. Kitambo, Fabrice Papa, George H. Allen, and Mohammad J. Tourian
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-406, https://doi.org/10.5194/essd-2024-406, 2024
Revised manuscript accepted for ESSD (discussion: closed, 5 comments)
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Our study addresses the need for better river discharge data, crucial for water management, by expanding global gauge networks with satellite data. We used satellite altimetry to estimate river discharge for over 8,700 stations worldwide, filling gaps in existing records. Our data set, SAEM supports a better understanding of water systems, helping to manage water resources more effectively, especially in regions with limited monitoring infrastructure.
23 Sep 2024
GSOCS-LULCC: the Global Soil Organic Carbon Stock dataset after Land Use and Land Cover Change
Songchao Chen, Qi Shuai, Dominique Arrouays, Zhongxing Chen, Lingju Dai, Yongsheng Hong, Bifeng Hu, Yuyang Huang, Wenjun Ji, Shuo Li, Zongzheng Liang, Yuxin Ma, Anne C. Richer-de-Forges, Calogero Schillaci, Yang Su, Hongfen Teng, Nan Wang, Xi Wang, Yanyu Wang, Zheng Wang, Zhige Wang, Dongyun Xu, Jie Xue, Su Ye, Xianglin Zhang, Yin Zhou, Peng Zhu, and Zhou Shi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-373, https://doi.org/10.5194/essd-2024-373, 2024
Manuscript not accepted for further review (discussion: closed, 3 comments)
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The impact of land use and land cover change (LULCC) on soil organic carbon stock (SOCS) is uncertain due to limited global data. Despite regional efforts, a comprehensive global SOCS database has been lacking. This study introduces the Global Soil Organic Carbon Stock dataset after LULCC (GSOCS-LULCC), compiled from 639 articles covering 1,206 sites and 5,982 records across five major land uses. This open-access database enables global assessment of LULCC's effects on SOCS dynamics.
20 Sep 2024
A consistent regional dataset of dissolved oxygen in the Western Mediterranean Sea (2004–2023): O2WMED
Malek Belgacem, Katrin Schroeder, Siv K. Lauvset, Marta Álvarez, Jacopo Chiggiato, Mireno Borghini, Carolina Cantoni, Tiziana Ciuffardi, and Stefania Sparnocchia
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-365, https://doi.org/10.5194/essd-2024-365, 2024
Preprint under review for ESSD (discussion: final response, 2 comments)
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Having consistent dissolved Oxygen (O2) data is crucial for understanding the health of our oceans. By monitoring O2 levels, we can spot changes in water quality. Reliable data helps scientist and policymakers make informed decisions to protect marine environments, ensuring practices that benefit both wildlife and people. The Mediterranean Sea is particularly sensitive to climate change. O2WMED dataset- a compilation of data that provides a clear picture of O2 changes over the past 20 years.
18 Sep 2024
Toward Better Conservation: A Spatial Analysis of Species Occurrence Data from the Global Biodiversity Information Facility
Susmita Dasgupta, Brian Blankespoor, and David Wheeler
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-241, https://doi.org/10.5194/essd-2024-241, 2024
Preprint under review for ESSD (discussion: open, 7 comments)
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This study leverages recent advances in machine-based pattern recognition to estimate occurrence maps for over 600,000 species, using georeferenced data from the Global Biodiversity Information Facility (GBIF). A pilot application for priority-setting identifies 30 nations that host nearly 80 percent of threatened species with small ranges limited to a single country. The algorithms are designed for rapid map updates and estimating new maps as growth in GBIF species occurrence reports continues.
09 Sep 2024
A High Dense Temperature-Salinity Dataset Observed by Automatic Underwater Vehicles toward Mesoscale eddies’ Evolutions and Associated Submesoscale Processes in South China Sea
Chunhua Qiu, Zhenyang Du, Jiancheng Yu, Huabin Mao, Haibo Tang, Zhenhui Yi, Jiawei Qiao, Dongxiao Wang, Xiaoming Zhai, and Yeqiang Shu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-338, https://doi.org/10.5194/essd-2024-338, 2024
Revised manuscript accepted for ESSD (discussion: closed, 8 comments)
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The high dense AUVs’ dataset in SCS provides 24498 temperature and salinity profiles and covers 463 days’ experiments, including 83 AUGs’ and 2 AUVs’ experiments. To our knowledge, the resolution and length of this dataset is enough in detecting the asymmetry, vertical tilt, temporal evolution of MEs, and the submesoscale processes. The dataset is expected to improve the accuracy of current and biogeochemistry numerical model. More projects gathering AUVs network will be promoted in future.
05 Sep 2024
30 months dataset of glider physico-chemical data off Mayotte Island near the Fani Maoré volcano
Alexandre Heumann, Félix Margirier, Emmanuel Rinnert, Pascale Lherminier, Carla Scalabrin, Louis Geli, Orens Pasqueron de Fommervault, and Laurent Beguery
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-377, https://doi.org/10.5194/essd-2024-377, 2024
Preprint under review for ESSD (discussion: final response, 2 comments)
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Following an seismic crisis in May 2018 in Mayotte, an observation network has been created with the given objective of monitoring this volcanic phenomena. A SeaExplorer glider has been deployed to supplement the data obtained during a series of oceanographic surveys. The glider performed a continuous monitoring of 30 months of the water column from the sea surface to 1250 meters water depth with the objective to acquire hydrological properties, water currents and dissolved gas concentrations.
29 Aug 2024
CAMELS-AUS v2: updated hydrometeorological timeseries and landscape attributes for an enlarged set of catchments in Australia
Keirnan J. A. Fowler, Ziqi Zhang, and Xue Hou
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-263, https://doi.org/10.5194/essd-2024-263, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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This paper presents Version 2 of the Australian edition of the Catchment Attributes and Meteorology for Large-sample Studies (CAMELS) series of datasets. CAMELS-AUS v2 comprises data for an increased number (561) of catchments, each with with long-term monitoring, combining hydrometeorological time series with attributes related to geology, soil, topography, land cover, anthropogenic influence and hydroclimatology. It is freely downloadable from https://zenodo.org/doi/10.5281/zenodo.12575680.
29 Aug 2024
Global patterns and drivers of soil dissolved organic carbon concentrations
Tianjing Ren and Andong Cai
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-343, https://doi.org/10.5194/essd-2024-343, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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This study compiles a global database of soil dissolved organic carbon (DOC) concentrations, a key factor in soil health and climate change. Using machine learning, it identifies the most influential factors affecting soil DOC levels and maps global patterns. The findings help guide soil management and climate strategies, with the dataset available for further research.
28 Aug 2024
ASM-SS: The First Quasi-Global High Spatial Resolution Coastal Storm Surge Dataset Reconstructed from Tide Gauge Records
Lianjun Yang, Taoyong Jin, and Weiping Jiang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-350, https://doi.org/10.5194/essd-2024-350, 2024
Revised manuscript accepted for ESSD (discussion: closed, 6 comments)
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Storm surges (SSs) cause massive loss of life and property in coastal areas each year. High spatial resolution and long-term SS records are the basis for assessing such events. However, tide gauges can provide limited SS information due to sparse and uneven distributions. Based on artificial intelligence technology and tide gauges, a high spatial coverage SS dataset was generated for period from 1940 to 2020, which can provide possible alternative support for deepening our understanding of SSs.
27 Aug 2024
PEATGRIDS: Mapping thickness and carbon stock of global peatlands via digital soil mapping
Marliana Tri Widyastuti, Budiman Minasny, José Padarian, Federico Maggi, Matt Aitkenhead, Amélie Beucher, John Connolly, Dian Fiantis, Darren Kidd, Yuxin Ma, Fraser Macfarlane, Ciaran Robb, Rudiyanto, Budi Indra Setiawan, and Muh Taufik
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-333, https://doi.org/10.5194/essd-2024-333, 2024
Preprint withdrawn (discussion: closed, 5 comments)
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PEATGRIDS, the first dataset containing maps of global peat thickness and carbon stock at 1 km resolution. The dataset has been publicly available at Zenodo to support further analyses and modelling of peatlands across the globe. This work employed the random forest machine learning model to provide spatially explicit peat carbon stock at pixel basis.
22 Aug 2024
Seeing through the Sea with Satellites: Reconstructing Ocean Subsurface Temperature and Salinity with Satellite Observations
Shizuo Liu and Shineng Hu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-334, https://doi.org/10.5194/essd-2024-334, 2024
Manuscript not accepted for further review (discussion: closed, 2 comments)
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Ocean data are crucial for ocean science and climate change research. In this study, we develop a novel algorithm to infer ocean subsurface temperature and salinity using satellite observations of ocean surface properties. The algorithm proposed is efficient, interpretable and widely applicable. The resultant dataset has a global coverage with a high spatial resolution (0.25°x0.25°) and has been validated against in-situ observations with satisfactory accuracy.
19 Aug 2024
Seismic survey in urban area: the activities of the EMERSITO INGV emergency group in Ancona (Italy) following the 2022 MW 5.5 Costa Marchigiana-Pesarese earthquake
Daniela Famiani, Fabrizio Cara, Giuseppe Di Giulio, Giovanna Cultrera, Francesca Pacor, Sara Lovati, Gaetano Riccio, Maurizio Vassallo, Giulio Brunelli, Antonio Costanzo, Antonella Bobbio, Marta Pischiutta, Rodolfo Puglia, Marco Massa, Rocco Cogliano, Salomon Hailemikael, Alessia Mercuri, Giuliano Milana, Luca Minarelli, Alessandro Di Filippo, Lucia Nardone, Simone Marzorati, Chiara Ladina, Debora Pantaleo, Carlo Calamita, Maria Grazia Ciaccio, Antonio Fodarella, Stefania Pucillo, Giuliana Mele, Carla Bottari, Gaetano De Luca, Luigi Falco, Antonino Memmolo, Giulia Sgattoni, and Gabriele Tarabusi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-162, https://doi.org/10.5194/essd-2024-162, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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This paper describes data and preliminary analyses made by the INGV emergency task force EMERSITO, devoted to site effects and seismic microzonation studies, following the November 9th, 2022, MW 5.5 earthquake (Adriatic sea, Italy). Considering the earthquake affected area, EMERSITO deployed a temporary seismic network of 11 stations (net code 6N) sampling different geological units in the urban area of Ancona, the regional capital of Marche, and operated from November 2022 to February 2023.
15 Aug 2024
A vegetation phenology dataset by integrating multiple sources using the Reliability Ensemble Averaging method
Yishuo Cui, Shouzhi Chen, Yufeng Gong, Mingwei Li, Zitong Jia, Yuyu Zhou, and Yongshuo H. Fu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-225, https://doi.org/10.5194/essd-2024-225, 2024
Preprint under review for ESSD (discussion: final response, 4 comments)
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Global changes have significantly altered vegetation phenology, affecting terrestrial carbon cycle. While various remote-sensing-based phenology datasets exist, they often suffer from inconsistencies and uncertainties. To address this, we developed a new phenology dataset spanning 1982 to 2022 using a reliability ensemble averaging method. Validated against ground data, our dataset demonstrates substantially improved accuracy, providing a novel and reliable source for global ecological studies.
14 Aug 2024
Global agricultural lands in the year 2015
Zia Mehrabi, Kaitai Tong, Julie Fortin, Radost Stanimirova, Mark Friedl, and Navin Ramankutty
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-279, https://doi.org/10.5194/essd-2024-279, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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We present a global geospatial database of cropland and pastures representing the year 2015. We made it using machine learning models to merge satellite-based land cover data with agricultural census data that we compiled. This database is an update to an earlier version representing the year 2000. It can be used to study issues such as land use, food security, climate change and biodiversity loss. We provide a reproducible code base to easily update the product for future years.
13 Aug 2024
Global Stable Isotope Dataset for Surface Water
Rui Li, Guofeng Zhu, Longhu Chen, Xiaoyu Qi, Siyu Lu, Gaojia Meng, Yuhao Wang, Wenmin Li, Zhijie Zheng, Jiangwei Yang, and Yani Gun
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-297, https://doi.org/10.5194/essd-2024-297, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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The study of hydrogen and oxygen stable isotopes in surface water is vital for understanding the global water cycle and its response to climate change. Analyzing data from 22432 global sampling stations over 67 years, we uncover spatial and temporal variations in isotopes, showing depletion from the equator to the poles and from coastal to inland areas. These variations, influenced by geographic, topographic, and meteorological factors, reveal the water cycle's heterogeneity.
12 Aug 2024
Annual mass changes for each glacier in the world from 1976 to 2023
Ines Dussaillant, Romain Hugonnet, Matthias Huss, Etienne Berthier, Jacqueline Bannwart, Frank Paul, and Michael Zemp
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-323, https://doi.org/10.5194/essd-2024-323, 2024
Revised manuscript accepted for ESSD (discussion: closed, 7 comments)
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Our research observes glacier mass changes worldwide from 1976 to 2023, revealing an alarming increase in melt, especially in the last decade and a record year 2023. By combining field and satellite observations, we provide annual mass changes for all glaciers in the world, showing significant contributing to global sea level rise. This work underscores the need for ongoing local monitoring and global climate action to mitigate the effects of glacier loss and its broader environmental impacts.
12 Aug 2024
Integration of global precipitation stable isotope data
Longhu Chen, Qinqin Wang, Guofeng Zhu, Rui Li, Siyu Lu, Xinrui Lin, Dongdong Qiu, Gaojia Meng, Yinying Jiao, Yuhao Wang, Jing Liu, Yutong He, and Yanan Li
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-171, https://doi.org/10.5194/essd-2024-171, 2024
Preprint withdrawn (discussion: closed, 6 comments)
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This study provides a dataset of hydrogen and oxygen stable isotopes from 2,059 sites worldwide, showing variations in global precipitation isotopes since 1961. The dataset offers insights into climate variability and water resource management.
09 Aug 2024
Gap-Filling for Daily Evapotranspiration Observations with full-factorial method at Global Flux Sites
Xiaowei Wang, Fujiao Tang, Yazhen Jiang, and Yunsheng Lou
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-291, https://doi.org/10.5194/essd-2024-291, 2024
Manuscript not accepted for further review (discussion: closed, 2 comments)
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This study addresses gaps in evapotranspiration (ET) data at 339 global sites using the full-factorial method. By comparing the filled ET data with three established ET products, this study identifies discrepancies and offers a comprehensive analysis. Notably, the filled ET data at 313 sites show high quality. This robust dataset enhances our ability to model and predict ET accurately, making it an invaluable resource for supporting diverse ecological and hydrological applications.
07 Aug 2024
High-resolution global ultrafine particle concentrations through a machine learning model and Earth observations
Pantelis Georgiades, Matthias Kohl, Mihalis A. Nicolaou, Theodoros Christoudias, Andrea Pozzer, Constantine Dovrolis, and Jos Lelieveld
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-314, https://doi.org/10.5194/essd-2024-314, 2024
Manuscript not accepted for further review (discussion: closed, 3 comments)
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This study maps global ultrafine particle (UFP) concentrations, pollutants known to affect health, using machine learning. By combining environmental and urban data, we predicted UFP levels at a fine 1 km resolution, highlighting areas of high exposure. Our results provide data for public health policies aimed at reducing air pollution impacts. This research bridges data gaps, offering a valuable tool for understanding and mitigating the health effects of UFP exposure.
05 Aug 2024
A high-resolution pan-Arctic meltwater discharge dataset from 1950 to 2021
Adam Igneczi and Jonathan Louis Bamber
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-169, https://doi.org/10.5194/essd-2024-169, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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Freshwater from Arctic land ice loss strongly impacts the Arctic and North Atlantic oceans. Datasets describing this freshwater discharge have low resolution and do not cover the entire Arctic. We statistically enhanced coarse resolution climate model data – from ~6 km to 250 m – and routed meltwater towards the coastlines, to provide high resolution data that is covering all Arctic regions. This approach has far lower computational requirements than running climate models at high resolution.
02 Aug 2024
The Earth Topography 2022 (ETOPO 2022) Global DEM dataset
Michael MacFerrin, Christopher Amante, Kelly Carignan, Matthew Love, and Elliot Lim
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-250, https://doi.org/10.5194/essd-2024-250, 2024
Revised manuscript accepted for ESSD (discussion: closed, 6 comments)
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Here we present Earth TOPOgraphy (ETOPO) 2022, the latest iteration of NOAA’s global, seamless topographic-bathymetric dataset. ETOPO 2022 is a significant upgrade in resolution and accuracy from previous ETOPO releases, freely available in multiple data formats and resolutions for all uses (public or private), excepting navigation.
01 Aug 2024
Multidecadal satellite-derived Portuguese Burn Severity Atlas (1984–2022)
Dina Jahanianfard, Joana Parente, Oscar Gonzalez-Pelayo, and Akli Benali
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-305, https://doi.org/10.5194/essd-2024-305, 2024
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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This data description paper provides details on the development of the first Portuguese burn severity atlas in Portugal from 1984 to 2022 derived from satellite imagery via Google Earth Engine platform. Moreover, a semi-automated code was also developed, which can be used to create burn severity atlas of any other region in the world. The maps of this atlas can be used not only in fields related to fire ecology and management, but also within research areas related to air, water, and soil.
30 Jul 2024
Mapping the world’s inland surface waters: an update to the Global Lakes and Wetlands Database (GLWD v2)
Bernhard Lehner, Mira Anand, Etienne Fluet-Chouinard, Florence Tan, Filipe Aires, George H. Allen, Pilippe Bousquet, Josep G. Canadell, Nick Davidson, C. Max Finlayson, Thomas Gumbricht, Lammert Hilarides, Gustaf Hugelius, Robert B. Jackson, Maartje C. Korver, Peter B. McIntyre, Szabolcs Nagy, David Olefeldt, Tamlin M. Pavelsky, Jean-Francois Pekel, Benjamin Poulter, Catherine Prigent, Jida Wang, Thomas A. Worthington, Dai Yamazaki, and Michele Thieme
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-204, https://doi.org/10.5194/essd-2024-204, 2024
Revised manuscript accepted for ESSD (discussion: closed, 6 comments)
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The Global Lakes and Wetlands Database (GLWD) version 2 distinguishes a total of 33 non-overlapping wetland classes, providing a static map of the world’s inland surface waters. It contains cell fractions of wetland extents per class at a grid cell resolution of ~500 m. The total combined extent of all classes including all inland and coastal waterbodies and wetlands of all inundation frequencies—that is, the maximum extent—covers 18.2 million km2, equivalent to 13.4 % of total global land area.
26 Jul 2024
Integrating Point Sources to Map Anthropogenic Atmospheric Mercury Emissions in China, 1978–2021
Yuying Cui, Qingru Wu, Shuxiao Wang, Kaiyun Liu, Shengyue Li, Zhezhe Shi, Daiwei Ouyang, Zhongyan Li, Qinqin Chen, Changwei Lü, Fei Xie, Yi Tang, Yan Wang, and Jiming Hao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-252, https://doi.org/10.5194/essd-2024-252, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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A comprehensive emission inventory has been developed at a resolution of 0.25°×0.3125° for total mercury (HgT) and each mercury species, namely gaseous elemental mercury (Hg0), gaseous oxidized mercury (HgII), and particulate-bound mercury (HgP). The inventory stems from the Point-source Integrated China Atmospheric Mercury Emission Model, ensuring both temporal and spatial coherence.
25 Jul 2024
cigChannel: A massive-scale 3D seismic dataset with labeled paleochannels for advancing deep learning in seismic interpretation
Guangyu Wang, Xinming Wu, and Wen Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-131, https://doi.org/10.5194/essd-2024-131, 2024
Revised manuscript accepted for ESSD (discussion: closed, 6 comments)
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Seismic paleochannel interpretation is essential for hydrocarbon exploration and paleoclimate studies but remains labor-intensive. Deep learning (DL) is promising to automate it but hindered by the lack of labeled data. We propose a workflow to simulate various channels and realistic seismic volumes, yielding the largest 3D seismic dataset with diverse channel labels. Its effectiveness is proven by field applications. The dataset, codes and DL models are released to advance further research.
23 Jul 2024
Glacier-level and gridded mass change in the rivers' sources in the eastern Tibetan Plateau (ETPR) from 1970s to 2000
Yu Zhu, Shiyin Liu, Junfeng Wei, Kunpeng Wu, Tobias Bolch, Junli Xu, Wanqin Guo, Zongli Jiang, Fuming Xie, Ying Yi, Donghui Shangguan, Xiaojun Yao, and Zhen Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-255, https://doi.org/10.5194/essd-2024-255, 2024
Revised manuscript accepted for ESSD (discussion: closed, 6 comments)
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This study compiled a near-complete inventory of glacier mass changes across the eastern Tibetan Plateau using topographical maps. This data enhances our understanding of glacier change variability before 2000. When combined with existing research, our dataset provides a nearly five-decade record of mass balance, aiding hydrological simulations and assessments of mountain glacier contributions to sea-level rise.
22 Jul 2024
A high-quality gap-filled daily ETo dataset for China during 1951–2021 from synoptic stations using machine learning models
Ning Shan Zhou, Li Feng Wu, Qi Liang Yang, Jianhua Dong, Ling Yang, and Yue Li
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-229, https://doi.org/10.5194/essd-2024-229, 2024
Manuscript not accepted for further review (discussion: closed, 3 comments)
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We created a highly precise dataset for daily water needs in China from 1951–2021, using machine learning to fill data gaps at 2419 weather stations. Independent models were trained for minor gaps, and LSTM models addressed severe gaps. Our research also examined the relationships between various weather parameters affecting water needs.
18 Jul 2024
Tracking spatiotemporal dynamics of crop-specific areas through machine learning and statistics disaggregating
Xiyu Li, Le Yu, Zhenrong Du, and Xiaoxuan Liu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-233, https://doi.org/10.5194/essd-2024-233, 2024
Manuscript not accepted for further review (discussion: closed, 3 comments)
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We developed a new method to update detailed maps showing where different crops are grown over time, focusing on Africa, China, and the USA. Using various data sources and machine learning, we produced accurate maps at a 10 km resolution covering up to 42 crop types from 1961 to 2022. Our work bridges statistical data and satellite imagery, helping researchers and policymakers to address global agricultural challenges in food security and environmental impacts.
17 Jul 2024
Standardized datasets of Brazilian reef diversity in space and time
André Luza, Cesar Cordeiro, Anaide Aued, Diego Barneche, Jessica Bleuel, Carlos Ferreira, Sergio Floeter, Ronaldo Francini-Filho, Jean-Christophe Joyeux, Guilherme Longo, Thiago Mendes, Hudson Pinheiro, Juan Quimbayo, Natália Roos, Barbara Segal, and Mariana Bender
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-244, https://doi.org/10.5194/essd-2024-244, 2024
Preprint under review for ESSD (discussion: open, 2 comments)
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The Brazilian marine biogeographical province features coral and rocky reefs spanning 27º latitude along a narrow continental shelf and four oceanic islands and archipelagos. Our reef synthesis working group reunite 16 datasets (11 on reef fish, 5 on benthos) comprising 24,498 sampling events across 55 locations over up to 22 years. This data offers unparalleled temporal, spatial, and taxonomic coverage, facilitating comprehensive inferences on the processes shaping biodiversity in the province.
15 Jul 2024
Europe’s adaptation to the energy crisis: Reshaped gas supply-transmission-consumption structures and driving factors from 2022 to 2024
Chuanlong Zhou, Biqing Zhu, Antoine Halff, Steven J. Davis, Zhu Liu, Simon Bowring, Simon Ben Arous, and Philippe Ciais
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-173, https://doi.org/10.5194/essd-2024-173, 2024
Revised manuscript accepted for ESSD (discussion: closed, 5 comments)
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After Russia's 2022 invasion of Ukraine, Europe's energy dynamics shifted significantly. Our study introduces updated datasets tracking changes in natural gas supply, usage, and transmission within the EU27&UK. We discovered that Europe adapted to losing Russian gas by increasing LNG imports and shifting to renewables. Our insights could shape future energy policies and climate research.
15 Jul 2024
Global patterns of soil organic carbon dynamics in the 20–100 cm soil profile for different ecosystems: A global meta-analysis
Haiyan Wang, Yulong Yin, Tingyao Cai, Xingshuai Tian, Zhong Chen, Kai He, Zihan Wang, Haiqing Gong, Qi Miao, Yingcheng Wang, Yiyan Chu, Qingsong Zhang, Minghao Zhuang, and Zhengling Cui
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-100, https://doi.org/10.5194/essd-2024-100, 2024
Revised manuscript accepted for ESSD (discussion: closed, 6 comments)
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Accurately quantifying the distribution of soil profile SOC stocks is crucial for C sequestration and mitigation. The detailed spatial subsoil SOC data are the scientific basis for environmental protection as well as the development of Earth system models. Based on multiple environmental variables and soil profile data, this study use machine-learning approaches to evaluate evaluated the SOC stocks and their spatial distribution at a depth interval of 0–1 m of various ecosystems.
15 Jul 2024
GSSM: A global seamless soil moisture dataset from 1981 to 2022 matching CCI to SMAP with a novel bias correction method
Yunjia Wang, Hao Sun, Zhenheng Xu, Jinhua Gao, Huanyu Xu, Tian Zhang, and Dan Wu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-200, https://doi.org/10.5194/essd-2024-200, 2024
Manuscript not accepted for further review (discussion: closed, 2 comments)
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We propose a novel matching method that can ensure the characteristics of the soil moisture time series and use a machine learning model to fill in the corrected data to solve the problem of low spatial coverage of soil moisture products. Finally, the dataset was obtained, namely long-term seamless CCI/SMAP monthly soil moisture products (GSSM). By obtaining this dataset, researchers can take into account the advantages of long time range, and high spatial coverage soil moisture products.
10 Jul 2024
Long-term Land Cover Dataset of the Mongolian Plateau Based on Multi-source Data and Rich Sample Annotations
Juanle Wang, Kai Li, Mengmeng Hong, Yating Shao, Zhichen Sun, Meng Liu, Fengjiao Li, Yuhui Su, Qilin Jia, Yaping Liu, Jiazhuo Liu, Jiawei Jiang, Altansukh Ochir, Davaadorj Davaasuren, Mengqiong Xu, Yamin Sun, Yifei Sun, Shaopu Huang, Weihao Zou, Tengfei Han, and Feiran Sun
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-237, https://doi.org/10.5194/essd-2024-237, 2024
Manuscript not accepted for further review (discussion: closed, 2 comments)
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This study presents a high-quality land cover dataset for the Mongolian Plateau (MP) using multi-source data, to improve regional geographical and environmental characteristic. The dataset covers from 1990 to 2020, achieving an accuracy of 83.9 %. It reveals that 65.04 % of land cover types remained unchanged over the past 30 years, with a clear trend of bare areas transitioning to vegetation. This dataset can support research on natural resources management and ecological protection in the MP.
09 Jul 2024
CCD-Rice: A long-term paddy rice distribution dataset in China at 30 m resolution
Ruoque Shen, Qiongyan Peng, Xiangqian Li, Xiuzhi Chen, and Wenping Yuan
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-147, https://doi.org/10.5194/essd-2024-147, 2024
Manuscript not accepted for further review (discussion: closed, 2 comments)
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Rice is a vital staple crop that plays a crucial role in food security in China. However, long-term high-resolution rice distribution maps in China are lacking. This study developed a new rice mapping method using to address the challenges of cloud contamination and missing data in optical remote sensing observations. The resulting dataset, CCD-Rice (China Crop Dataset-Rice), achieved high accuracy and showed strong correlation with statistical data.
02 Jul 2024
High-spatiotemporal reconstruction of biogeochemical dynamics in Australia integrating satellites products and in-situ observations (2000–2022)
Xiaohan Zhang, Lizhe Wang, Jining Yan, and Sheng Wang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-219, https://doi.org/10.5194/essd-2024-219, 2024
Revised manuscript not accepted (discussion: closed, 4 comments)
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This study tackles the limitations of marine biogeochemical monitoring by integrating CANYON-B and Random Forest regression methods to reconstruct key biogeochemical concentrations across Australia from 2000 to 2022 at a 1-kilometre resolution. Utilizing multi-source in-situ observations and MODIS products, this approach showcases machine learning's effectiveness in enhancing large-scale ocean chemistry data reconstruction.
01 Jul 2024
SAR Image Semantic Segmentation of Typical Oceanic and Atmospheric Phenomena
Quankun Li, Xue Bai, Lizhen Hu, Liangsheng Li, Yaohui Bao, Xupu Geng, and Xiao-Hai Yan
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-222, https://doi.org/10.5194/essd-2024-222, 2024
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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Overall, the SAR image dataset proposed in this study makes a significant contribution to oceanography, providing valuable data resources for studying the dynamic processes of multi-scale oceanic and atmospheric phenomena, validating deep learning models, and developing high-resolution models. This dataset is anticipated to stimulate further research and advancements in understanding the complex dynamics of sea surface.
27 Jun 2024
Characterizing uncertainty in shear wave velocity profiles from the Italian seismic microzonation database
Federico Mori, Giuseppe Naso, Amerigo Mendicelli, Giancarlo Ciotoli, Chiara Varone, and Massimiliano Moscatelli
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-104, https://doi.org/10.5194/essd-2024-104, 2024
Preprint withdrawn (discussion: closed, 4 comments)
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Our research introduces an unmatched dataset of 15,000 shear wave velocity (Vs) profiles from the Italian Seismic Microzonation Database, aimed at dissecting uncertainties to refine seismic hazard analyses. By scrutinizing Vs variations within diverse seismic microzones, we seek to elevate the precision of seismic risk assessments. The study underscores the critical importance of understanding Vs and its uncertainties, showcasing our commitment to advancing seismic hazard comprehension.
24 Jun 2024
A derecho climatology (2004–2021) in the United States based on machine learning identification of bow echoes
Jianfeng Li, Andrew Geiss, Zhe Feng, L. Ruby Leung, Yun Qian, and Wenjun Cui
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-112, https://doi.org/10.5194/essd-2024-112, 2024
Revised manuscript under review for ESSD (discussion: final response, 6 comments)
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We develop a high-resolution (4 km and hourly) observational derecho dataset over the United States east of the Rocky Mountains from 2004 to 2021 by using a mesoscale convective system dataset, bow echo detection based on a machine learning method, hourly gust speed measurements, and physically based identification criteria.
17 Jun 2024
Fish functional groups of the North Atlantic and Arctic Oceans
Murray S. A. Thompson, Izaskun Preciado, Federico Maioli, Valerio Bartolino, Andrea Belgrano, Michele Casini, Pierre Cresson, Elena Eriksen, Gema Hernandez-Milian, Ingibjörg G. Jónsdóttir, Stefan Neuenfeldt, John F. Pinnegar, Stefán Ragnarsson, Sabine Schueckel, Ulrike Schueckel, Brian E. Smith, María Á. Torres, Thomas J. Webb, and Christopher P. Lynam
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-102, https://doi.org/10.5194/essd-2024-102, 2024
Revised manuscript accepted for ESSD (discussion: closed, 3 comments)
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We collated data from multiple fish stomach content databases to improve understanding of marine food web interactions for the North Atlantic and Arctic Oceans. These data were used to categorise fish into feeding guilds and applied to understand change in fish populations observed in scientific trawl surveys. This revealed spatially extensive temporal change in marine ecosystem structure and functioning. Our study provides evidence supporting a candidate food web indicator for the OSPAR Area.
10 Jun 2024
GEST: Accurate global ocean surface current reconstruction withmulti-scale dynamics-informed neural network
Linyao Ge, Guiyu Wang, Baoxiang Huang, Chuanchuan Cao, Xiaoyan Chen, and Ge Chen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-190, https://doi.org/10.5194/essd-2024-190, 2024
Manuscript not accepted for further review (discussion: closed, 2 comments)
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High precision in reconstructing sea surface currents is vital for understanding ocean dynamics. Our paper introduces GEST (Geostrophic-Ekman-Stokes-Tide), a 15 m depth sea current product. GEST, generated by a neural network, captures Ekman, geostrophic currents, Stokes drift, and TPXO9 tidal currents. Its design accounts for complex ocean surface dynamics, surpassing OSCAR and GlobCurrent by 10.4 cm/s and 8.81 cm/s, respectively.
06 Jun 2024
Global Methane Budget 2000–2020
Marielle Saunois, Adrien Martinez, Benjamin Poulter, Zhen Zhang, Peter Raymond, Pierre Regnier, Joseph G. Canadell, Robert B. Jackson, Prabir K. Patra, Philippe Bousquet, Philippe Ciais, Edward J. Dlugokencky, Xin Lan, George H. Allen, David Bastviken, David J. Beerling, Dmitry A. Belikov, Donald R. Blake, Simona Castaldi, Monica Crippa, Bridget R. Deemer, Fraser Dennison, Giuseppe Etiope, Nicola Gedney, Lena Höglund-Isaksson, Meredith A. Holgerson, Peter O. Hopcroft, Gustaf Hugelius, Akihito Ito, Atul K. Jain, Rajesh Janardanan, Matthew S. Johnson, Thomas Kleinen, Paul Krummel, Ronny Lauerwald, Tingting Li, Xiangyu Liu, Kyle C. McDonald, Joe R. Melton, Jens Mühle, Jurek Müller, Fabiola Murguia-Flores, Yosuke Niwa, Sergio Noce, Shufen Pan, Robert J. Parker, Changhui Peng, Michel Ramonet, William J. Riley, Gerard Rocher-Ros, Judith A. Rosentreter, Motoki Sasakawa, Arjo Segers, Steven J. Smith, Emily H. Stanley, Joel Thanwerdas, Hanquin Tian, Aki Tsuruta, Francesco N. Tubiello, Thomas S. Weber, Guido van der Werf, Doug E. Worthy, Yi Xi, Yukio Yoshida, Wenxin Zhang, Bo Zheng, Qing Zhu, Qiuan Zhu, and Qianlai Zhuang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-115, https://doi.org/10.5194/essd-2024-115, 2024
Revised manuscript accepted for ESSD (discussion: closed, 8 comments)
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Methane (CH4) is the second most important human-influenced greenhouse gas in terms of climate forcing after carbon dioxide (CO2). A consortium of multi-disciplinary scientists synthesize and update the budget of the sources and sinks of CH4. This edition benefits from important progresses in estimating emissions from lakes and ponds, reservoirs, and streams and rivers. For the 2010s decade, global CH4 emissions are estimated at 575 Tg CH4 yr-1, including ~65 % from anthropogenic sources.
06 Jun 2024
A long-term high-resolution air quality reanalysis with public facing air quality dashboard over the Contiguous United States (CONUS)
Rajesh Kumar, Piyush Bhardwaj, Cenlin He, Jennifer Boehnert, Forrest Lacey, Stefano Alessandrini, Kevin Sampson, Matthew Casali, Scott Swerdlin, Olga Wilhelmi, Gabriele G. Pfister, Benjamin Gaubert, and Helen Worden
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-180, https://doi.org/10.5194/essd-2024-180, 2024
Revised manuscript accepted for ESSD (discussion: closed, 6 comments)
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We have created a 14-year hourly air quality dataset at 12 km resolution by combining satellite observations of atmospheric composition with air quality models over the contiguous United States (CONUS) . The dataset has been found to reproduce key observed features of air quality over the CONUS. To enable easy visualization and interpretation of county level air quality measures and trends by stakeholders, an ArcGIS air quality dashboard has also been developed.
21 May 2024
A continuous 2011–2022 record of fine particulate matter (PM2.5) in East Asia at daily 2-km resolution from geostationary satellite observations: population exposure and long-term trends
Drew C. Pendergrass, Daniel J. Jacob, Yujin J. Oak, Jeewoo Lee, Minseok Kim, Jhoon Kim, Seoyoung Lee, Shixian Zhai, Hitoshi Irie, and Hong Liao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-172, https://doi.org/10.5194/essd-2024-172, 2024
Preprint withdrawn (discussion: closed, 3 comments)
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Fine particles suspended in the atmosphere are a major form of air pollution and an important public health burden. However, measurements of particulate matter are sparse in space and in places like East Asia monitors are established after regulatory policies to improve pollution have changed. In this paper, we use machine learning to fill in the gaps. We train an algorithm to predict pollution at the surface from the atmosphere’s opacity, then produce high resolution maps of data without gaps.
17 May 2024
Optimal feature selection for improved ML based reconstruction of Global Terrestrial Water Storage Anomalies
Nehar Mandal, Prabal Das, and Kironmala Chanda
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-109, https://doi.org/10.5194/essd-2024-109, 2024
Revised manuscript accepted for ESSD (discussion: closed, 5 comments)
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Optimal features among hydroclimatic variables and land surface model (LSM) outputs are selected using a novel Bayesian network (BN) approach for simulating Terrestrial Water Storage Anomalies (TWSA). TWSA is simulated using ML models (CNN, SVR, ETR, and Stacking Ensemble Regression), and gridwise leader models are identified globally. TWSA is reconstructed (BNML_TWSA) with the selected leader models from January 1960 to December 2022 to generate a continuous global gridded dataset.
16 May 2024
Two sets of bias-corrected regional UK Climate Projections 2018 (UKCP18) of temperature, precipitation and potential evapotranspiration for Great Britain
Nele Reyniers, Qianyu Zha, Nans Addor, Timothy J. Osborn, Nicole Forstenhäusler, and Yi He
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-132, https://doi.org/10.5194/essd-2024-132, 2024
Revised manuscript accepted for ESSD (discussion: closed, 5 comments)
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We present two sets of bias-corrected UK Climate Projections 2018 (UKCP18) regional projections of temperature, precipitation and potential evapotranspiration for 1981–2080. All 12 members of the UKCP18 regional ensemble were bias-corrected using (1) empirical quantile mapping and (2) a change-preserving variant. The two methods were evaluated and compared to guide dataset application. The datasets improve the usability of UKCP18 and serve as a reference for selecting bias correction methods.
03 May 2024
Data mining-based machine learning methods for improving hydrological data a case study of salinity field in the Western Arctic Ocean
Shuhao Tao, Ling Du, and Jiahao Li
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-138, https://doi.org/10.5194/essd-2024-138, 2024
Preprint withdrawn (discussion: closed, 4 comments)
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The salinity field of the Western Arctic Ocean is taken as an example to construct a novel data mining method for polar sea areas, utilizing multiple machine learning methods that integrate multiple data sources and incorporate physical processes. The application potential of this approach extends beyond the salinity field and includes other related fields like hydrometeorology, sea ice thickness, polar biogeochemistry, among others.
23 Apr 2024
Ecosystem characteristics of land covers with various anthropogenic impacts in a tropical forest region of Southeast Asia
Chansopheaktra Sovann, Torbern Tagesson, Patrik Vestin, Sakada Sakhoeun, Soben Kim, Sothea Kok, and Stefan Olin
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-98, https://doi.org/10.5194/essd-2024-98, 2024
Revised manuscript not accepted (discussion: closed, 4 comments)
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We offer pairwise observed datasets that compare the characteristics of tropical ecosystems, specifically pristine forests, regrowth forests, and cashew plantations. Our findings uncover some key differences in their characteristics, emphasizing the influence of human activities on these ecosystems. By sharing our unique datasets, we hope to improve the knowledge of tropical forest ecosystems in Southeast Asia, advancing tropical research, and tackling global environmental challenges.
08 Apr 2024
CHclim25 – a spatially and temporally very high-resolution climatic dataset for Switzerland
Olivier Broennimann and Antoine Guisan
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-79, https://doi.org/10.5194/essd-2024-79, 2024
Revised manuscript not accepted (discussion: closed, 5 comments)
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CHclim25 is a high-resolution climatic dataset for Switzerland, offering daily, monthly, and yearly data on temperature, precipitation, sunshine duration, and other derived climatic variables for the baseline 1981–2010 period and future periods up to 2099. Downscaled to 25 m using local topography, it outperforms global datasets, especially at higher elevations. CHclim25 enhances both temporal and spatial resolution, opening avenues for ecological and environmental research in Switzerland.
03 Apr 2024
WetCH4: A Machine Learning-based Upscaling of Methane Fluxes of Northern Wetlands during 2016–2022
Qing Ying, Benjamin Poulter, Jennifer D. Watts, Kyle A. Arndt, Anna-Maria Virkkala, Lori Bruhwiler, Youmi Oh, Brendan M. Rogers, Susan M. Natali, Hilary Sullivan, Luke D. Schiferl, Clayton Elder, Olli Peltola, Annett Bartsch, Amanda Armstrong, Ankur R. Desai, Eugénie Euskirchen, Mathias Göckede, Bernhard Lehner, Mats B. Nilsson, Matthias Peichl, Oliver Sonnentag, Eeva-Stiina Tuittila, Torsten Sachs, Aram Kalhori, Masahito Ueyama, and Zhen Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-84, https://doi.org/10.5194/essd-2024-84, 2024
Revised manuscript accepted for ESSD (discussion: closed, 5 comments)
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We present daily methane fluxes of northern wetlands at 10-km resolution during 2016–2022 (WetCH4) derived from a novel machine-learning framework with improved accuracy. We estimated an average annual CH4 emissions of 20.8 ±2.1 Tg CH4 yr-1. Emissions were intensified in 2016, 2020, and 2022, with the largest interannual variations coming from West Siberia. Continued, all-season tower observations and improved soil moisture products are needed for future improvement of CH4 upscaling.
02 Apr 2024
LegacyVegetation 1.0: Global reconstruction of vegetation composition and forest cover from pollen archives of the last 50 ka
Laura Schild, Peter Ewald, Chenzhi Li, Raphaël Hébert, Thomas Laepple, and Ulrike Herzschuh
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-486, https://doi.org/10.5194/essd-2023-486, 2024
Revised manuscript accepted for ESSD (discussion: closed, 11 comments)
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This study reconstructed past vegetation and forest cover from a global data set of pollen counts from sediment and peat cores. A model was applied to correct for differences in pollen production between different plants and modern remote-sensing forest cover was used to adjust the necessary correction factors and improve the reconstruction even further. Accurate data on past vegetation is invaluable for the investigation of vegetation-climate dynamics and the validation of vegetation models.
02 Apr 2024
Deriving a Transformation Rate Map of Dissolved Organic Carbon over the Contiguous U.S.
Lingbo Li, Hong-Yi Li, Guta Abeshu, Jinyun Tang, L. Ruby Leung, Chang Liao, Zeli Tan, Hanqin Tian, Peter Thornton, and Xiaojuan Yang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-43, https://doi.org/10.5194/essd-2024-43, 2024
Revised manuscript accepted for ESSD (discussion: closed, 8 comments)
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We have developed a new map that reveals how organic carbon from soil leaches into headwater streams over the contiguous United States. We use advanced artificial intelligence techniques and a massive amount of data, including observations at over 2,500 gauges and a wealth of climate and environmental information. The map is a critical step in understanding and predicting how carbon moves through our environment, hence a useful tool for tackling climate challenges.
02 Apr 2024
Discrete Global Grid System-based Flow Routing Datasets in the Amazon and Yukon Basins
Chang Liao, Darren Engwirda, Matthew Cooper, Mingke Li, and Yilin Fang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-398, https://doi.org/10.5194/essd-2023-398, 2024
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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Discrete Global Grid systems, or DGGs, are digital frameworks that help us organize information about our planet. Although scientists have used DGGs in areas like weather and nature, using them in the water cycle has been challenging because some core datasets are missing. We created a way to generate these datasets. We then developed the datasets in the Amazon Basin, which plays an important role in our planet's climate. These datasets may help us improve our water cycle models.
25 Mar 2024
SEA-Rice-Ci10: High-resolution Mapping of Rice Cropping Intensity and Harvested Area Across Southeast Asia using the Integration of Sentinel-1 and Sentinel-2 Data
Frisa Irawan Ginting, Rudiyanto Rudiyanto, Fatchurahman, Ramisah Mohd Shah, Norhidayah Che Soh, Sunny Goh Eng Giap, Dian Fiantis, Budi Indra Setiawan, Sam Schiller, Aaron Davitt, and Budiman Minasny
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-90, https://doi.org/10.5194/essd-2024-90, 2024
Preprint withdrawn (discussion: closed, 4 comments)
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This study is the first to map rice cropping intensity and the harvested area across Southeast Asia at a spatial resolution of 10 m (SEA-Rice-Ci10). We have developed a geospatial inventory of paddy rice parcels and rice cropping intensity by integrating Sentinel-1 and 2 time-series data in a framework called LUCK-PALM, based on local phenological expert interpretation. According to our best knowledge, it is the finest-resolution and most accurate database of paddy rice in Southeast Asia.
18 Mar 2024
A benchmark data set for long-term monitoring in the eLTER site Gesäuse-Johnsbachtal
Florian Lippl, Alexander Maringer, Margit Kurka, Jakob Abermann, Wolfgang Schöner, and Manuela Hirschmugl
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-12, https://doi.org/10.5194/essd-2024-12, 2024
Preprint withdrawn (discussion: closed, 2 comments)
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The aim of our work was to give an overview of data currently available for the National Park Gesäuse and Johnsbachtal relevant to the European long-term ecosystem monitoring. This data, further was made available on respective data repositories, where all data is downloadable free of charge. Data presented in our paper is from all compartments, the atmosphere, social & economic sphere, biosphere and geosphere. We consider our approach as an opportunity to function as a showcase for other sites.
29 Feb 2024
Observed global ocean phytoplankton phenology indices
Sarah-Anne Nicholson, Thomas J. Ryan-Keogh, Sandy J. Thomalla, Nicolette Chang, and Marié E. Smith
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-21, https://doi.org/10.5194/essd-2024-21, 2024
Revised manuscript accepted for ESSD (discussion: closed, 6 comments)
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The annual greening of the global ocean by the widespread growth of phytoplankton blooms, visible from space, has global-scale impacts on food security, ecosystem health, and climate. Using satellite observations this study generates long-term and sustained phytoplankton phenology (timing and magnitude of blooms) indices for the global ocean towards the effective monitoring and management of marine resources and the assessment of climate change impacts on ocean ecosystems
06 Feb 2024
A new dataset of rain cells generated from observations of the Tropical Rainfall Measuring Mission (TRMM) precipitation radar and visible and infrared scanner and microwave imager
Zhenhao Wu, Yunfei Fu, Peng Zhang, Songyan Gu, and Lin Chen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-532, https://doi.org/10.5194/essd-2023-532, 2024
Revised manuscript under review for ESSD (discussion: final response, 4 comments)
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We establish a new rain cell precipitation parameter and visible infrared and microwave signal dataset combining with the multi-instrument observation data on the Tropical Rainfall Measuring Mission (TRMM). The purpose of this dataset is to promote the three-dimensional study of rain cell precipitation system, and reveal the spatial and temporal variations of the scale morphology and intensity of the system.
06 Feb 2024
AERO-MAP: A data compilation and modelling approach to understand the fine and coarse mode aerosol composition
Natalie M. Mahowald, Longlei Li, Julius Vira, Marje Prank, Douglas S. Hamilton, Hitoshi Matsui, Ron L. Miller, Louis Lu, Ezgi Akyuz, Daphne Meidan, Peter Hess, Heikki Lihavainen, Christine Wiedinmyer, Jenny Hand, Maria Grazia Alaimo, Célia Alves, Andres Alastuey, Paulo Artaxo, Africa Barreto, Francisco Barraza, Silvia Becagli, Giulia Calzolai, Shankarararman Chellam, Ying Chen, Patrick Chuang, David D. Cohen, Cristina Colombi, Evangelia Diapouli, Gaetano Dongarra, Konstantinos Eleftheriadis, Corinne Galy-Lacaux, Cassandra Gaston, Dario Gomez, Yenny González Ramos, Hannele Hakola, Roy M. Harrison, Chris Heyes, Barak Herut, Philip Hopke, Christoph Hüglin, Maria Kanakidou, Zsofia Kertesz, Zbiginiw Klimont, Katriina Kyllönen, Fabrice Lambert, Xiaohong Liu, Remi Losno, Franco Lucarelli, Willy Maenhaut, Beatrice Marticorena, Randall V. Martin, Nikolaos Mihalopoulos, Yasser Morera-Gomez, Adina Paytan, Joseph Prospero, Sergio Rodríguez, Patricia Smichowski, Daniela Varrica, Brenna Walsh, Crystal Weagle, and Xi Zhao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-1, https://doi.org/10.5194/essd-2024-1, 2024
Preprint withdrawn (discussion: closed, 3 comments)
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Aerosol particles can interact with incoming solar radiation and outgoing long wave radiation, change cloud properties, affect photochemistry, impact surface air quality, and when deposited impact surface albedo of snow and ice, and modulate carbon dioxide uptake by the land and ocean. Here we present a new compilation of aerosol observations including composition, a methodology for comparing the datasets to model output, and show the implications of these results using one model.
05 Feb 2024
A comprehensive rock glacier inventory for Jammu, Kashmir, and Ladakh, western Himalaya, India – Baseline for the permafrost research
Imtiyaz Ahmad Bhat, Irfan Rashid, RAAJ Ramsankaran, Argha Banerjee, and Saurabh Vijay
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-522, https://doi.org/10.5194/essd-2023-522, 2024
Preprint withdrawn (discussion: closed, 4 comments)
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A comprehensive rock glacier inventory (n = 5492) has been generated through manual delineation in a GIS environment for the western Himalayan region. The inventory has characterized each rock glacier with 22 attributes following the standard protocols. This inventory shall serve as a baseline for the future research related to rock glacier dynamics, their hydrological contribution and response to climate change.
10 Jan 2024
A dataset of 190 lakes' ice phenology on the Tibetan Plateau extracted from AMSR2 data
Yu Cai, Jingjing Wang, Yao Xiao, Zifei Wang, Xiaoyi Shen, Haili Li, and Chang-Qing Ke
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-441, https://doi.org/10.5194/essd-2023-441, 2024
Revised manuscript not accepted (discussion: closed, 4 comments)
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In this study, we re-explored the potential of passive microwaves in extracting lake ice freeze-thaw events. Brightness temperature and air temperature data were used to extract freeze-up and break-up records of 194 lakes on the Tibetan Plateau, providing complete lake ice records for a large number of small and medium-sized lakes for the first time. The dataset will provide valuable data for users interested in lake ice cover on the Tibetan Plateau over the last decade.
08 Jan 2024
A geomorphological slope unit dataset for the eastern edge of Tibetan Plateau
Xiangyi Zheng, Ying Wang, Qigen Lin, Jing Qi, Yuxin Li, Mengxia Zhao, Xinren Zhang, Xia Wang, and Yu Chen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-485, https://doi.org/10.5194/essd-2023-485, 2024
Preprint withdrawn (discussion: closed, 5 comments)
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This study built a high-precision and unified slope unit dataset for the eastern edge of Tibetan Plateau, which provided the basic data for geological disaster assessment. This dataset was derived from the 12.5 m high-resolution DEM with Hydrology toolbox of ArcGIS, which included 446,497 slope units, representing an area of 350,000 km2. With the landslide susceptibility assessment, this paper presents the performance and advantage of the dataset from the overall, quadrat and unit scale.
22 Dec 2023
Soil hydraulic and hydrological data from seven field sites in the Thames catchment, UK, 2021
John Robotham, Emily Trill, James Blake, Ponnambalam Rameshwaran, Peter Scarlett, Gareth Old, and Joanna Clark
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-402, https://doi.org/10.5194/essd-2023-402, 2023
Revised manuscript under review for ESSD (discussion: final response, 5 comments)
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There is currently limited evidence about how land-based “Natural Flood Management” measures affect soil properties. We therefore measured soil physical and hydraulic properties (n=1300) at seven field sites (Thames catchment, UK). The sites cover a range of geologies, land use and management. Dataset applications include hydrological and land surface modelling and validation of remote sensing observations. The dataset also provides a baseline against which future soil changes may be compared.
11 Dec 2023
A Frontal Ablation Dataset for 49 Tidewater Glaciers in Greenland
Dominik Fahrner, Donald Slater, Aman KC, Claudia Cenedese, David A. Sutherland, Ellyn Enderlin, Femke de Jong, Kristian K. Kjeldsen, Michael Wood, Peter Nienow, Sophie Nowicki, and Till Wagner
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-411, https://doi.org/10.5194/essd-2023-411, 2023
Preprint withdrawn (discussion: closed, 4 comments)
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Marine-terminating glaciers can lose mass through frontal ablation, which comprises submarine and surface melting, and iceberg calving. We estimate frontal ablation for 49 marine-terminating glaciers in Greenland by combining existing, satellite derived data and calculating volume change near the glacier front over time. The dataset offers exciting opportunities to study the influence of climate forcings on marine-terminating glaciers in Greenland over multi-decadal timescales.
01 Dec 2023
A database of glacier microbiomes for the Three Poles
Yongqin Liu, Songnian Hu, Tao Yu, Yingfeng Luo, Zhihao Zhang, Yuying Chen, Shunchao Guo, Qinglan Sun, Guomei Fan, Linhuan Wu, Juncai Ma, Keshao Liu, Pengfei Liu, Junzhi Liu, and Mukan Ji
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-395, https://doi.org/10.5194/essd-2023-395, 2023
Preprint under review for ESSD (discussion: final response, 9 comments)
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Based on marker gene, metagenome, and cultivated genome sequencing, the dataset contains 67,224 bacterial and archaeal species, 2,517 potential pathogens, 62,595,715 unique genes, and 4,327 microbial genomes of bacteria and archaea from Antarctic, Arctic, and Tibetan glaciers. The data can be useful to ecologists, microbiologists, and policymakers regarding microbial distribution, evolution, and biohazard assessment for glacier microbiome under global climate change.
30 Nov 2023
A Global Multi-Source Tropical Cyclone Precipitation (MSTCP) Dataset
Gabriel Morin, Mathieu Boudreault, and Jorge Luis García-Franco
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-460, https://doi.org/10.5194/essd-2023-460, 2023
Revised manuscript not accepted (discussion: closed, 4 comments)
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The rainfall from tropical cyclones often causes severe impacts due to flooding. Research including flood-risk assessment, vulnerability as well as climate science and meteorology all require estimates of rainfall from tropical cyclones to understand the causes, predictability and mechanisms for the disasters caused by these phenomena. This dataset provides key statistics of tropical cyclone rainfall estimated from global datasets from 1979–2023.
24 Nov 2023
Antarctic Ice Sheet grounding line discharge from 1996 through 2023
Benjamin Joseph Davison, Anna Elizabeth Hogg, Thomas Slater, and Richard Rigby
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-448, https://doi.org/10.5194/essd-2023-448, 2023
Revised manuscript accepted for ESSD (discussion: closed, 4 comments)
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Grounding line discharge is a measure of the amount of ice entering the ocean from an ice mass. This paper describes a dataset of grounding line discharge for the Antarctic Ice Sheet and each of its glaciers. The dataset shows that Antarctic Ice Sheet grounding line discharge has increased since 1996.
17 Nov 2023
A long-term (2000–2020) global 0.05° continuous atmospheric carbon dioxide dataset (GCXCO2) combining OCO-2 observations and model simulations based on stack learning
Xiaobin Guan, Zhihao Sun, Dong Chu, Guanglei Xie, Yuchen Wang, and Huanfeng Shen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-465, https://doi.org/10.5194/essd-2023-465, 2023
Manuscript not accepted for further review (discussion: closed, 3 comments)
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Although there are various XCO2 products, they are all limited by the spatial resolution or spatiotemporal coverage. In this study, the first global 0.05° XCO2 product (GCXCO2) for 21 years is generated by combining the OCO-2 satellite observations and models simulations. The dynamic normalization strategy is applied to enhance the temporal expansibility of stacking learning model, and the product is superior than the model simulations showing similar characteristic with OCO-2 observations.
12 Oct 2023
GGCP10: A Global Gridded Crop Production Dataset at 10km Resolution from 2010 to 2020
Xingli Qin, Bingfang Wu, Hongwei Zeng, Miao Zhang, and Fuyou Tian
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-346, https://doi.org/10.5194/essd-2023-346, 2023
Preprint withdrawn (discussion: closed, 12 comments)
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We developed the first time-series gridded dataset of maize, wheat, rice and soybean production from 2010–2020. It offers detailed spatiotemporal information of crop production, allowing for advanced monitoring of agricultural productivity and for research into the factors that drive production trends across regions and over time. This dataset can help assess food security, evaluate climate impacts, and inform policies for more sustainable, resilient crop production worldwide.
05 Oct 2023
CEDAR-GPP: spatiotemporally upscaled estimates of gross primary productivity incorporating CO2 fertilization
Yanghui Kang, Max Gaber, Maoya Bassiouni, Xinchen Lu, and Trevor Keenan
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-337, https://doi.org/10.5194/essd-2023-337, 2023
Revised manuscript accepted for ESSD (discussion: closed, 6 comments)
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CEDAR-GPP provides spatiotemporally upscaled estimates of Gross Primary Productivity, uniquely incorporating the direct effect of elevated atmospheric CO2 on global photosynthesis. This dataset was produced by upscaling global eddy covariance measurements with multi-source satellite observations and climate data using machine learning. Available at monthly and 0.05° resolution from 1982 to 2020, CEDAR-GPP offers critical insights into ecosystem-climate interaction.
05 Oct 2023
Development and comprehensive analysis of spatially resolved technological high resolution (0.1°×0.1°) Emission Inventory of Particulate Matter for India: A step Towards Air Quality Mitigation
Saroj Kumar Sahu, Poonam Mangaraj, Gufran Beig, Marianne T. Lund, Bjørn Hallvard Samset, Pallavi Sahoo, and Ashirbad Mishra
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-310, https://doi.org/10.5194/essd-2023-310, 2023
Revised manuscript not accepted (discussion: closed, 6 comments)
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Elevated emission of particulate matter is not limited to urban areas, led to poor air quality across the country. Emission Inventory is the first line of defensive tools for air quality management and understanding and identification of the source of pollutants. The present work is an attempt to develop a high-resolution (~10 km) national inventory of particulate pollutants in India for 2020 using IPCC methodology. The developed dataset is vital piece of information for mitigation strategies.
22 Sep 2023
Enabling FAIR Certification for Micrometeorological Datasets
Mark Roantree, Stevan Savić, Michael Scriney, and Branislava Lalić
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-334, https://doi.org/10.5194/essd-2023-334, 2023
Preprint withdrawn (discussion: closed, 2 comments)
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A recent report on the cost of research that was non-FAIR compliant reached a conservative estimate of 10.2bn. While this should provide a strong motivation for researchers to make their data FAIR, it is not often clear how to do so and researchers should be provided with an understanding of FAIR and a clear pathway to compliance. In this paper, we present our system which helps climate researchers to ensure their data is FAIR compliant.
26 Jul 2023
Monitoring the regional Ocean Heat Content change over the Atlantic Ocean with the space geodetic approach
Victor Rousseau, Robin Fraudeau, Matthew Hammond, Odilon Joël Houndegnonto, Michaël Ablain, Alejandro Blazquez, Fransisco Mir Calafat, Damien Desbruyères, Giuseppe Foti, William Llovel, Florence Marti, Benoît Meyssignac, Marco Restano, and Jérôme Benveniste
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-236, https://doi.org/10.5194/essd-2023-236, 2023
Preprint withdrawn (discussion: closed, 3 comments)
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The estimation of regional Ocean Heat Content (OHC) is crucial for climate analysis and future climate predictions. In our study, we accurately estimate regional OHC changes in the Atlantic Ocean using satellite and in situ data. Findings reveal significant warming in the Atlantic basin from 2002 to 2020 with a mean trend of 0.17W/m², representing 230 times the power of global nuclear plants. The product has also been successfully validated in the North Atlantic basin using in situ data.
17 Jul 2023
Spatially explicit re-harmonized terrestrial carbon densities for calibrating Integrated human-Earth System Models
Kanishka B. Narayan, Alan V. Di Vittorio, Evan Margiotta, Seth A. Spawn-Lee, and Holly K. Gibbs
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-251, https://doi.org/10.5194/essd-2023-251, 2023
Preprint withdrawn (discussion: closed, 2 comments)
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In this paper we present a new dataset of grid cell level spatially explicit carbon harmonized with land types in a global Multisector Dynamics Model. This dataset can be used to define an initial condition of terrestrial carbon in MSD models. Our harmonized dataset presents carbon values for 3 pools (topsoil, above ground biomass and below ground biomass) for six statistical states across land use types. Our dataset is available at a pixel level (5 arcmin) and aggregated to 699 land regions.
14 Jul 2023
A Global Lake/Reservoir Surface Extent Dataset (GLRSED): An integration of HydroLAKES, GRanD and OpenStreetMap
Bingxin Bai, Lixia Mu, Ge Chen, and Yumin Tan
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-216, https://doi.org/10.5194/essd-2023-216, 2023
Revised manuscript not accepted (discussion: closed, 4 comments)
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Global lake/reservoir surface water extent is the basic input data for many studies.But incomplete or spatial inconsistency problems exist in existing datasets. Fully utilizing HydroLakes, OpenStreetMap and GRanD, we produced a global dataset of lakes/reservoirs with 2.17 million individual features, called GLRSED. By spatially overlaying GLRSED with other auxiliary data, we identified mountain lakes, endorheic lakes, reservoirs, glacier-fed and permafrost-fed lakes, etc.
19 Jun 2023
A global fire emission dataset using the three-corner hat method (FiTCH)
Meng Liu and Linqing Yang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-150, https://doi.org/10.5194/essd-2023-150, 2023
Manuscript not accepted for further review (discussion: closed, 8 comments)
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This study analyzed the uncertainties of six existing fire emission products and merged them using the three-corner hat method, producing a new global fire emission dataset, FiTCH. We found forests showed increased fire emissions in drought years using the FiTCH data. Global land temperatures and fire emissions have decoupled in the past two decades. This study highlights the importance of forest fire monitoring and management for effective climate mitigation and ecosystem conservation.
12 Jun 2023
Anthropogenic and ecology research indicators of top commercial fish species in the Baltic Sea: Review
Michael J. Rosciszewski-Dodgson and Giuseppe T. Cirella
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-185, https://doi.org/10.5194/essd-2023-185, 2023
Revised manuscript not accepted (discussion: closed, 5 comments)
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This paper compartmentalises 248 publications that consider the cumulative effects and trade-offs some of the biggest anthropogenic and ecology stressors have on the ecology of top commercial fish species in the Baltic Sea. The results illustrate the extent of academic research that can be applied to commercial fisheries knowledge in the Baltic Sea and identifies which pressures have the greatest negative impacts for which species.
06 Jun 2023
DINOSTRAT version 2.0-GTS2020
Peter K. Bijl
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-169, https://doi.org/10.5194/essd-2023-169, 2023
Publication in ESSD not foreseen (discussion: closed, 1 comment)
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This new version release of DINOSTRAT, version 2.0, aligns stratigraphic ranges of dinoflagellate cysts, a microfossil group, to the Geologic Time Scale. In this release we present the evolution of dinocyst subfamilies from the mid-Triassic to the modern.
05 May 2023
Global river flow data developed from surface runoff based on the Curve Number method
Raghu Vamshi, Kathleen McDonough, Susan A. Csiszar, Ryan Heisler, Katherine E. Kapo, Amy M. Ritter, Ming Fan, and Kathleen Stanton
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-161, https://doi.org/10.5194/essd-2023-161, 2023
Preprint withdrawn (discussion: closed, 6 comments)
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The objective of this research was to create a mean annual river flow dataset at a global scale from computing surface runoff based on the USDA Curve Number method in combination with publicly available global datasets which were spatially processed. To validate the estimated flows, calculated mean annual flows were compared with measured flows at gauges for 11 countries which provided positive correlations. This dataset can be used for countries without publicly available river flow data.
25 Apr 2023
Vectorized dataset of check dams on the Chinese Loess Plateau using object-based classification method from Google Earth images
Yi Zeng, Tongge Jing, Baodong Xu, Xiankun Yang, Jinshi Jian, Renjie Zong, Bing Wang, Wei Dai, Lei Deng, Nufang Fang, and Zhihua Shi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-120, https://doi.org/10.5194/essd-2023-120, 2023
Revised manuscript not accepted (discussion: closed, 4 comments)
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In this study, the first vectorized dataset of check dams on the Chinese Loess Plateau containing spatial distribution, silted land area, and sediment volume, was provided through object-based classification method and Google Earth images. The accuracy of the dataset is verified by 1947 collected test samples and the latest official statistics. This dataset can be used to quantify the ecosystem service function of check dams, including sediment retention, carbon sequestration, and grain supply.
21 Apr 2023
A Submesoscale Eddy Identification Dataset Derived from GOCI I Chlorophyll–a Data based on Deep Learning
Yan Wang, Jie Yang, Kai Wu, Meng Hou, and Ge Chen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-138, https://doi.org/10.5194/essd-2023-138, 2023
Revised manuscript not accepted (discussion: closed, 4 comments)
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Mesoscale eddies are ubiquitous in the ocean and account for 90 % of its kinetic energy, but their generation and dissipation struggle to observe with current remote sensing technology. Our submesoscale eddy dataset, formed by suppressing large-scale circulation signals and enhancing small-scale chlorophyll structures, has important implications for understanding marine environments and ecosystems, as well as improving climate model predictions.
20 Apr 2023
CROPGRIDS: A global geo-referenced dataset of 173 crops circa 2020
Fiona H. M. Tang, Thu Ha Nguyen, Giulia Conchedda, Leon Casse, Francesco N. Tubiello, and Federico Maggi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-130, https://doi.org/10.5194/essd-2023-130, 2023
Preprint withdrawn (discussion: closed, 6 comments)
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CROPGRIDS is a comprehensive global, geo-referenced dataset that provides information on harvested and crop areas of 173 crops circa the year 2020. This new product provides more recent crop type information for 80 crops, covering about 1.2 billion hectares of crop area globally. CROPGRIDS will facilitate global-scale assessments in various disciplines, including agriculture and resource management, food systems, environmental impact and sustainability analyses, and agroeconomics.
05 Apr 2023
GEST: A multi-scale dynamics-based reconstruction of global ocean surface current
Guiyu Wang, Ge Chen, Chuanchuan Cao, Xiaoyan Chen, and Baoxiang Huang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-107, https://doi.org/10.5194/essd-2023-107, 2023
Revised manuscript not accepted (discussion: closed, 6 comments)
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We present an accurate product of ocean surface current at 15 m depth based on multi-scale physical processes. Following a training process using remote sensing observations and in situ data, the derived current field with a 1/4° resolution captures more details neglected in the 1° ones and demonstrates higher accuracy over other global surface current products at low to middle latitudes.
27 Mar 2023
A Pan-European, High-Resolution, Daily Total, Fine-Mode and Coarse-Mode Aerosol Optical Depth dataset based on Quantile Machine Learning
Zhao-Yue Chen, Raul Méndez, Hervé Petetin, Aleksander Lacima, Carlos Pérez García-Pando, and Joan Ballester
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-104, https://doi.org/10.5194/essd-2023-104, 2023
Preprint withdrawn (discussion: closed, 6 comments)
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Given in the limitations of existing AOD and its size fraction information, a new 18-year daily Aerosol Optical Depth (AOD) dataset over Europe has been developed based on quantile machine learning (QML) models. This dataset improves the ability to monitor and analyse fine-mode and coarse-mode aerosols. They provide better tools to investigate negatively affect human health and have impacts on climate, visibility, and biogeochemical cycling.
15 Mar 2023
FASDD: An Open-access 100,000-level Flame and Smoke Detection Dataset for Deep Learning in Fire Detection
Ming Wang, Liangcun Jiang, Peng Yue, Dayu Yu, and Tianyu Tuo
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-73, https://doi.org/10.5194/essd-2023-73, 2023
Preprint withdrawn (discussion: closed, 31 comments)
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We present a large-scale Flame and Smoke Detection Dataset (FASDD) covering complex and varied fire scenarios. FASDD contains fire, smoke, and confusing non-fire/non-smoke images acquired at different distances (near and far), different scenes (indoor and outdoor), different light intensities (day and night), and from various platforms (surveillance cameras, drones, and satellites). To the best of our knowledge, FASDD is currently the most versatile and comprehensive dataset for fire detection.
08 Mar 2023
Sequential spatiotemporal distribution of PM2.5, SO2 and Ozone in China from 2015 to 2020
Yufeng Chi, Yu Zhan, Kai Wang, and Hong Ye
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-76, https://doi.org/10.5194/essd-2023-76, 2023
Manuscript not accepted for further review (discussion: closed, 3 comments)
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A data set of regional spatial distribution of PM2.5, SO2 and Ozone in China for 6 years from 2015 to 2020 is provided. The time resolution of the data is 1d, the spatial resolution is about 1 km, and the cross-validation R2 is about 0.9. Data sharing is on the zenodo platform. This data can be directly used to visualize the distribution of regional air pollutants, and can also be used for data analysis, ecological applications, etc.
14 Feb 2023
An 8-day composited 36 km SMAP soil moisture dataset from 1979 to 2015 produced using a random forest and historical CCI data
Haoxuan Yang, Qunming Wang, Wei Zhao, and Peter Atkinson
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-426, https://doi.org/10.5194/essd-2022-426, 2023
Preprint withdrawn (discussion: closed, 8 comments)
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A random forest (RF) model was proposed to extend the superior SMAP dataset (named RF_SMAP) from 1979 to 2015, using the corresponding CCI time-series. The new long time-series RF_SMAP dataset, which will be available to download, will be of great value for a range of research in applications such as climate assessment, agricultural planning, food insecurity monitoring and drought assessment and monitoring.
14 Feb 2023
MGP: a new 1-hourly 0.25° global precipitation product (2000–2020) based on multi-source precipitation data fusion
Hanqing Chen, Debao Wen, Bin Yong, Jonathan J. Gourley, Leyang Wang, and Yang Hong
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-42, https://doi.org/10.5194/essd-2023-42, 2023
Manuscript not accepted for further review (discussion: closed, 4 comments)
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A novel multi-source precipitation data fusion (MPDF) algorithm, which considers the dependency of precipitation errors on seasonality, was proposed to fully take advantage of the complementary strengths from satellite-only IMERG-Late, ERA5 reanalysis, and ground-based precipitation observations for generating a higher-quality global precipitation product. A new global precipitation product, namely MGP, is provided to the public.
08 Feb 2023
Glacier-level and gridded mass change in the source rivers in the eastern Tibetan Plateau (ETPR) from 1970s to 2000
Yu Zhu, Shiyin Liu, Junfeng Wei, Kunpeng Wu, Tobias Bolch, Junli Xu, Wanqin Guo, Zongli Jiang, Fuming Xie, Ying Yi, Donghui Shangguan, Xiaojun Yao, and Zhen Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-473, https://doi.org/10.5194/essd-2022-473, 2023
Preprint withdrawn (discussion: closed, 2 comments)
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In this study, we presented a nearly complete inventory of glacier mass change dataset across the eastern Tibetan Plateau by using topographical maps, which will enhance the knowledge on the heterogeneity of glacier change before 2000. Our dataset, in combination with the published results, provide a nearly five decades mass balance to support hydrological simulation, and to evaluate the contribution of mountain glacier loss to sea level.
21 Dec 2022
Recurrent mapping of Hourly Surface Ozone Data (HrSOD) across China during 2005–2020 for ecosystem and human health risk assessment
Wenxiu Zhang, Di Liu, Hanqin Tian, Naiqin Pan, Ruqi Yang, Wenhan Tang, Jia Yang, Fei Lu, Buddhi Dayananda, Han Mei, Siyuan Wang, and Hao Shi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-428, https://doi.org/10.5194/essd-2022-428, 2022
Manuscript not accepted for further review (discussion: closed, 6 comments)
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High temporal resolution surface ozone concentration data is still lacking in China, so we used deep learning to generate hourly surface ozone data (HrSOD) during 2005–2020 across China. HrSOD showed that surface O3 in China tended to increase from 2016 to 2019, despite a decrease in 2020. HrSOD had high spatial and temporal accuracies, long time ranges and high temporal resolution, enabling it to be easily converted to various evaluation indicators for ecosystem and human health assessments.
13 Dec 2022
GlobalWheatYield4km: a global wheat yield dataset at 4-km resolution during 1982–2020 based on deep learning approach
Yuchuan Luo, Zhao Zhang, Juan Cao, Liangliang Zhang, Jing Zhang, Jichong Han, Huimin Zhuang, Fei Cheng, Jialu Xu, and Fulu Tao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-423, https://doi.org/10.5194/essd-2022-423, 2022
Manuscript not accepted for further review (discussion: closed, 3 comments)
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We generated a 4-km dataset of global wheat yield (GlobalWheatYield4km) from 1982 to 2020 using a deep learning approach. The dataset was highly consistent with observed yields, which captured 82 % of yield variations with RMSE of 619.8 kg/ha across all subnational regions and years. Our GlobalWheatYield4km can be applied for many purposes, including large-scale agricultural system modeling and climate change impact assessments.
30 Nov 2022
The Ant-Iso dataset: a compilation of Antarctic surface snow isotopic observations
Jiajia Wang, Hongxi Pang, Shuangye Wu, Spruce W. Schoenemann, Ryu Uemura, Alexey Ekaykin, Martin Werner, Alexandre Cauquoin, Sentia Goursaud Oger, Summer Rupper, and Shugui Hou
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-384, https://doi.org/10.5194/essd-2022-384, 2022
Revised manuscript not accepted (discussion: closed, 4 comments)
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Stable water isotopic observations in surface snow over Antarctica provide a basis for validating isotopic models and interpreting Antarctic ice core records. This study presents a new compilation of Antarctic surface snow isotopic dataset based on published and unpublished sources. The database has a wide range of potential applications in studying spatial distribution of water isotopes, model validation, and reconstruction and interpretation of Antarctic ice core records.
23 Nov 2022
A Comprehensive Dataset for Earth System Models in a Permafrost Region: Meteorological, Permafrost, and Carbon Observations (2011–2020) in Northeastern Qinghai-Tibet Plateau
Cuicui Mu, Xiaoqing Peng, Ran Du, Hebin Liu, Haodong Jin, Benben Liang, Mei Mu, Wen Sun, Chenyan Fan, Xiaodong Wu, Oliver W. Frauenfeld, and Tingjun Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-347, https://doi.org/10.5194/essd-2022-347, 2022
Revised manuscript not accepted (discussion: closed, 6 comments)
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Permafrost warming lead to greenhouse gases release to the atmosphere, resulting in a positive feedback to climate change. But, there are some uncertainties for lacks of observations. Here, we summarized a long-term observations on the meteorological, permafrost, and carbon to publish. This datasets include 5 meteorological stations, 21 boreholes 12 active layer sites, and 10 soil organic carbon contents. These are important to study the response of frozen ground to climate change.
21 Nov 2022
FASDD: An Open-access 100,000-level Flame and Smoke Detection Dataset for Deep Learning in Fire Detection
Ming Wang, Liangcun Jiang, Peng Yue, Dayu Yu, and Tianyu Tuo
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-394, https://doi.org/10.5194/essd-2022-394, 2022
Preprint withdrawn (discussion: closed, 3 comments)
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We present a large-scale Flame and Smoke Detection Dataset (FASDD) covering complex and varied fire scenarios. FASDD contains fire, smoke, and confusing non-fire/non-smoke images acquired at different distances (near and far), different scenes (indoor and outdoor), different light intensities (day and night), and from various sensors (surveillance cameras, UAV, and satellites). To the best of our knowledge, it is the largest multimodal dataset for deep learning based fire detection.
21 Nov 2022
Not just crop or forest: building an integrated land cover map for agricultural and natural areas
Melanie Kammerer, Aaron L. Iverson, Kevin Li, and Sarah C. Goslee
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-331, https://doi.org/10.5194/essd-2022-331, 2022
Revised manuscript not accepted (discussion: closed, 4 comments)
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Researchers and land managers need reliable maps of agricultural and natural land, but current maps of land cover include information on agriculture or natural land, not both. To solve this problem, we joined two existing maps of land cover to create U.S. national maps for 2012–2021. Our maps show the location and amount of specific crops and many types of natural habitats. We expect these maps will be widely useful for agricultural and environmental research, conservation, and land management.
11 Nov 2022
Stable isotope (δ18O, δ2H) signature of river runoff, groundwater, and precipitation in three river basins in the center of East European Plain
Julia Chizhova, Maria Kireeva, Ekaterina Rets, Alexey Ekaykin, Anna Kozachek, Arina Veres, Olga Zolina, Natalia Varentsova, Artem Gorbarenko, Nikita Povalyaev, Valentina Plotnikova, Timofey Samsonov, and Maxim Kharlamov
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-377, https://doi.org/10.5194/essd-2022-377, 2022
Manuscript not accepted for further review (discussion: closed, 2 comments)
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Empirical study of the isotopic features of river runoff were conducted at three hydrological posts in three different river basins: the Zakza river in the center of East European Plane (southwest of Moscow), the Dubna river (north of Moscow) and the Sosna Bystraya river in the south of central region.
18 Oct 2022
High-resolution datasets for lake level changes in the Qinghai-Tibetan Plateau from 2002 to 2021 using multi-altimeter data
Jiaming Chen, Jingjuan Liao, Yanhan Lou, Shanmu Ma, Guozhuang Shen, and Lianchong Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-313, https://doi.org/10.5194/essd-2022-313, 2022
Revised manuscript under review for ESSD (discussion: final response, 11 comments)
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The Qinghai Tibet Plateau (QTP) has the largest number of lakes in the world. Hydrological stations cannot be readily set up in this region due to high altitude and remoteness. Satellite radar altimetry has become a very important alternative to in situ observations as a source of data. By combining eight sets of altimeter data, the trends of the changes in the water levels for 362 lakes in the QTP during 2002–2021 were estimated, and the spatio-temporal changes in lake levels were explored.
13 Oct 2022
The recovery and re-calibration of a 13-month aerosol extinction profiles dataset from searchlight observations from New Mexico, after the 1963 Agung eruption
Juan-Carlos Antuña-Marrero, Graham W. Mann, John Barnes, Abel Calle, Sandip S. Dhomse, Victoria E. Cachorro-Revilla, Terry Deshler, Li Zhengyao, Nimmi Sharma, and Louis Elterman
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-272, https://doi.org/10.5194/essd-2022-272, 2022
Revised manuscript not accepted (discussion: closed, 6 comments)
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Tropospheric and stratospheric aerosol extinction profiles observations from a searchlight at New Mexico, US, were rescued and re-calibrated. Spanning between December 1963 and 1964, they measured the volcanic aerosols from the 1963 Agung eruption. Contemporary and state of the art information were used in the re-calibration. A unique and until the present forgotten/ignored dataset, it contributes current observational and modelling research on the impact of major volcanic eruptions on climate.
29 Sep 2022
Refining the resolution of DUACS along track (level 3) altimeter Sea Level products
Marie-Isabelle Pujol, Stéphanie Dupuy, Oscar Vergara, Antonio Sánchez-Román, Yannice Faugère, Pierre Prandi, Mei-Ling Dabat, Quentin Dagneaux, Marine Lievin, Emeline Cadier, Gérald Dibarboure, and Nicolas Picot
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-292, https://doi.org/10.5194/essd-2022-292, 2022
Manuscript not accepted for further review (discussion: closed, 1 comment)
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An altimeter sea level along-track level-3 product with a 5 Hz (~1.2 km) sampling is proposed. It takes advantage of recent advances in radar altimeter processing, and improvements made to different stages of the processing chain. Compared to the conventional 1 Hz (~7 km) product, it significantly improves the observability of the short wavelength signal in open ocean and near coast areas (> 5 km). It also contributes to improving high resolution numerical model outputs via data assimilation.
27 Sep 2022
Two new early instrumental records of air pressure and temperature for the southern European Alps
Yuri Brugnara, Michael Horn, and Isabella Salvador
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-290, https://doi.org/10.5194/essd-2022-290, 2022
Manuscript not accepted for further review (discussion: closed, 3 comments)
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We provide the only known long temperature and pressure instrumental record for the south-eastern Alps covering the first half of the 19th century. It was measured in the town of Rovereto, in the Adige valley, between 1800–1839 by a physics teacher. The data are complemented with measurements from Bolzano/Bozen for 1842–1849 and are converted to modern units and homogenized to account for changes in observation times and exposure of the instruments.
27 Sep 2022
A comprehensive multidecadal glacier inventory dataset for the Chandra-Bhaga Basin, Western Himalaya, India
Sarvagya Vatsal, Anshuman Bhardwaj, Mohd Farooq Azam, Arindan Mandal, Alagappan Ramanathan, Ishmohan Bahuguna, N. Janardhana Raju, and Sangita Singh Tomar
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-311, https://doi.org/10.5194/essd-2022-311, 2022
Manuscript not accepted for further review (discussion: closed, 3 comments)
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Glaciers in Chandra-Bhaga Basin, western Himalaya, India have huge socio-economic importance as a large population is dependent on these glaciers for drinking and irrigation water purposes. To quantify Spatio-temporal changes in the glaciers of this basin, our study provides three major datasets. These include multidecadal glacier inventory, debris cover, and ice thickness estimates. These datasets will benefit future glacier as well as policy based studies at both local and regional scales.
14 Sep 2022
Water masses distribution in the Canadian Arctic Archipelago: Implementation of the Optimal MultiParameter analysis (OMP)
Alessandra D'Angelo, Cynthia Garcia-Eidell, Christopher Knowlton, Andrea Gingras, Holly Morin, Dwight Coleman, Jessica Kaelblein, Humair Raziuddin, Nikolas VanKeersbilck, Tristan J. Rivera, Krystian Kopka, Yoana Boleaga, Korenna Estes, Andrea Nodal, Ericka Schulze, Theressa Ewa, Mirella Shaban, Samira Umar, Rosanyely Santana, Jacob Strock, Erich Gruebel, Michael Digilio, Rick Ludkin, Donglai Gong, Zak Kerrigan, Mia Otokiak, Frances Crable, Nicole Trenholm, Triston Millstone, Kevin Montenegro, Melvin Kim, Gibson Porter, Tomer Ketter, Max Berkelhammer, Andrew L. King, Miguel Angel Gonzalez-Meler, and Brice Loose
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-306, https://doi.org/10.5194/essd-2022-306, 2022
Manuscript not accepted for further review (discussion: closed, 2 comments)
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The Canadian Arctic Archipelago (CAA) is characterized by advection from the Pacific (PW) and Atlantic waters (AW), ice melt, local river discharge and net precipitation. In a changing Arctic, it is crucial to monitor the hydrography of this Region. We combined chemical and physical parameters into an Optimal MultiParameter Analysis, for the detection of the source water fractions characterizing the CAA. The outcome was effective about the PW and AW, and discriminated the meltwaters origin.
12 Sep 2022
High-resolution predictions of ground ice content for the Northern Hemisphere permafrost region
Olli Karjalainen, Juha Aalto, Mikhail Z. Kanevskiy, Miska Luoto, and Jan Hjort
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-144, https://doi.org/10.5194/essd-2022-144, 2022
Manuscript not accepted for further review (discussion: closed, 2 comments)
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The amount of underground ice in the Arctic permafrost has a central role when assessing climate change-induced changes to natural conditions and human activity in the Arctic. Here, we present compilations of field-verified ground ice observations and high-resolution estimates of Northern Hemisphere ground ice content. The data highlight the variability of ground ice contents across the Arctic and provide called-for information to be used in modelling and environmental assessment studies.
09 Sep 2022
Contemporary (2016–2020) land cover across West Antarctica and the McMurdo Dry Valleys
Christopher D. Stringer, Jonathan L. Carrivick, Duncan J. Quincey, and Daniel Nývlt
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-250, https://doi.org/10.5194/essd-2022-250, 2022
Revised manuscript not accepted (discussion: closed, 4 comments)
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Glaciers in Antarctica have been decreasing in size at a fast rate, leading to the expansion of proglacial areas, with wide-ranging ecological implications. Several global land-cover maps exist, but they do not include Antarctica. We map land cover types across West Antarctica and the McMurdo Dry Valleys to a high degree of accuracy (77.0 %). We highlight the spatial variation in land cover and emphasise the need for more field data.
08 Sep 2022
Global soil moisture storage capacity at 0.5° resolution for geoscientific modelling
Kang Xie, Pan Liu, Qian Xia, Xiao Li, Weibo Liu, Xiaojing Zhang, Lei Cheng, Guoqing Wang, and Jianyun Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-217, https://doi.org/10.5194/essd-2022-217, 2022
Revised manuscript not accepted (discussion: closed, 5 comments)
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There are currently no available common datasets of the Soil moisture storage capacity (SMSC) on a global scale, especially for hydrological models. Here, we produce a dataset of the SMSC parameter for global hydrological models. The global SMSC is constructed based on the deep residual network at 0.5° resolution. SMSC products are validated on global grids and typical catchments from different climatic regions.
02 Sep 2022
GlobalWheatYield4km: a global wheat yield dataset at 4-km resolution during 1982–2020 based on deep learning approaches
Yuchuan Luo, Zhao Zhang, Juan Cao, Liangliang Zhang, Jing Zhang, Jichong Han, Huimin Zhuang, Fei Cheng, Jialu Xu, and Fulu Tao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-297, https://doi.org/10.5194/essd-2022-297, 2022
Manuscript not accepted for further review (discussion: closed, 3 comments)
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We generated a 4-km dataset of global wheat yield (GlobalWheatYield4km) from 1982 to 2020 using data-driven models. Compared with subnational statistics covering ~11000 political units, GlobalWheatYield4km captured 82 % of yield variations with RMSE of 619.8 kg/ha. The dataset will play important roles in modelling crop system and assessing climate impact over larger areas
16 Aug 2022
The global leaf chlorophyll content dataset over 2003–2012 and 2018–2020 derived from MERIS/OLCI satellite data (GLCC): algorithm and validation
Xiaojin Qian, Liangyun Liu, Xidong Chen, Xiao Zhang, Siyuan Chen, and Qi Sun
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-277, https://doi.org/10.5194/essd-2022-277, 2022
Manuscript not accepted for further review (discussion: closed, 3 comments)
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Leaf chlorophyll content (LCC) is an important plant physiological trait and a proxy for leaf photosynthetic capacity. We generated a global LCC dataset from ENVISAT MERIS and Sentinel-3 OLCI satellite data for the period 2003–2012 to 2018–2020 using a physically-based radiative transfer modeling approach. This new LCC dataset spanning nearly 20 years will provide a valuable opportunity for the monitoring of vegetation growth and terrestrial carbon cycle modeling on a global scale.
12 Aug 2022
High-resolution and Multitemporal Impervious Surface Mapping in the Lancang-Mekong Basin with Google Earth Engine
Genyun Sun, Zheng Li, Aizhu Zhang, Xin Wang, Sunjinyan Ding, Xiuping Jia, Jing Li, and Qinhuo Liu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-251, https://doi.org/10.5194/essd-2022-251, 2022
Manuscript not accepted for further review (discussion: closed, 5 comments)
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Understanding IS dynamic is vital for ensuring sustainable development in the Lancang-Mekong basin and worldwide. By integrating multi-source and multi-temporal data, we developed a 10m-resolution IS extraction approach to map accurate continuous IS in the Lancang-Mekong basin (LMISD). The derived complementary features enable LMISD to outperform existing products in mapping accuracy and detail. Numerically, results show that a large and uneven IS area increase occurs here from 2016 to 2021.
11 Aug 2022
Reprocessed 2-D airgun seismic reflection data SALTFLU (salt deformation and sub-salt fluid circulation in the Algero-Balearic abyssal plain) in the Balearic promontory and the Algerian basin
Simon Blondel, Jonathan Ford, Aaron Lockwood, Anna Del Ben, and Angelo Camerlenghi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-258, https://doi.org/10.5194/essd-2022-258, 2022
Manuscript not accepted for further review (discussion: closed, 3 comments)
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This manuscript describes the re-processing flow applied to legacy multichannel seismic data in the deepwater Algerian basin, now open-access. The processing flow was designed based on the most robust and modern methods used in the industry and can be taken as example for other marine multi-channel datasets. Many new geological features are succinctly described, and are yet to be understood.
01 Aug 2022
Stable isotope (δ18O, δ2H) signature of river runoff, groundwater and precipitation in three river basins in the center of East European Plain
Julia Chizhova, Maria Kireeva, Ekaterina Rets, Alexey Ekaykin, Anna Kozachek, Arina Veres, Olga Zolina, Natalia Varentsova, Artem Gorbarenko, Nikita Povalyaev, Valentina Plotnikova, Timofey Samsonov, and Maxim Kharlamov
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-145, https://doi.org/10.5194/essd-2022-145, 2022
Revised manuscript not accepted (discussion: closed, 8 comments)
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Empirical study of the isotopic features of river runoff were carried out at three hydrological posts in 3 different river basins Eastern Europe. Samples of river water, groundwater and precipitation for the October 2019–October 2021 were collected at weekly intervals. A significant supply of melted snow during spring freshet was the key factor influencing water regimes for these three river basins; varying degrees of anthropogenic flow regulation are also presented.
25 Jul 2022
On the magnitude and uncertainties of global and regional soil organic carbon: A comparative analysis using multiple estimates
Ziqi Lin, Yongjiu Dai, Umakant Mishra, Guocheng Wang, Wei Shangguan, Wen Zhang, and Zhangcai Qin
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-232, https://doi.org/10.5194/essd-2022-232, 2022
Manuscript not accepted for further review (discussion: closed, 2 comments)
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Spatial soil organic carbon (SOC) data is critical for predictions in carbon climate feedbacks and future climate trends, but no conclusion has yet been reached on which dataset to be used for specific purposes. We evaluated the SOC estimates from five widely used global soil datasets and a regional permafrost dataset, and identify uncertainties of SOC estimates by region, biome, and data sources, hoping to help improve SOC/soil data in the future.
19 Jul 2022
Long-time Series Dataset of Soil Conservation Capacity Preventing Water Erosion in China (1992–2019)
Jialei Li, Hongbin He, Liding Chen, and Ranhao Sun
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-222, https://doi.org/10.5194/essd-2022-222, 2022
Manuscript not accepted for further review (discussion: closed, 10 comments)
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Soil conservation is determined by land use management and climate change. A long-term (1992–2019) and high-precision (300 m) soil conservation capacity dataset in China was constructed on the observed, remote-sensing, and statistical data. The dataset agrees with the observations in hydrological stations and other regional research on soil conservation.
19 Jul 2022
Carbon dioxide cover: carbon dioxide column concentration seamlessly distributed globally during 2009–2020
Haowei Zhang, Boming Liu, Xin Ma, Ge Han, Qinglin Yang, Yichi Zhang, Tianqi Shi, Jianye Yuan, Wanqi Zhong, Yanran Peng, Jingjing Xu, and Wei Gong
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-215, https://doi.org/10.5194/essd-2022-215, 2022
Preprint withdrawn (discussion: closed, 7 comments)
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Obtaining highly accurate and high-resolution spatiotemporal maps of carbon dioxide concentration distributions is crucial for promoting the study of the carbon cycle, and carbon emissions assessed by top-down theory. The official discrete satellite data provided by Gosat-2, OCO-2, and OCO-3 have data voids and relatively low efficiency. Here, we present carbon dioxide cover dataset, an innovative methodology to obtain XCO2 maps of high spatiotemporal resolution by using satellite data.
12 Jul 2022
Enhancing drought monitoring and assessment capability in India through high-resolution (250 m) data
Anukesh Ambika and Vimal Mishra
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-81, https://doi.org/10.5194/essd-2022-81, 2022
Preprint withdrawn (discussion: closed, 2 comments)
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Understanding the impacts of drought on agriculture is hampered due to the lack of high-resolution data in India. Moreover, most of the existing drought monitoring system do not account for the influence of irrigation on drought mitigation. To fill these crucial gaps in drought assessment capability, we develop a high-resolution (250 m) dataset of land surface temperature (LST) and enhanced vegetation index (EVI) for India for 2000–2017 period.
04 Jul 2022
High-resolution physicochemical dataset of atmospheric aerosols over the Tibetan Plateau and its surroundings
Xinghua Zhang, Wenhui Zhao, Lixiang Zhai, Miao Zhong, Jinsen Shi, Junying Sun, Yanmei Liu, Conghui Xie, Yulong Tan, Kemei Li, Xinlei Ge, Qi Zhang, Shichang Kang, and Jianzhong Xu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-211, https://doi.org/10.5194/essd-2022-211, 2022
Manuscript not accepted for further review (discussion: closed, 4 comments)
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A comprehensive aerosol observation project was carried out in the Tibetan Plateau (TP) in recent years to investigate the properties and sources of atmospheric aerosols as well as their regional differences by performing multiple short-term intensive field observations. The real-time online high-time-resolution (hourly) data of aerosol properties in the different TP region are integrated in a new dataset and can provide supporting for related studies in in the TP.
08 Jun 2022
An 8-day composited 36 km SMAP soil moisture dataset from 1979 to 2015 produced using a random forest and historical CCI data
Haoxuan Yang, Qunming Wang, Wei Zhao, and Peter M. Atkinson
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-137, https://doi.org/10.5194/essd-2022-137, 2022
Preprint withdrawn (discussion: closed, 2 comments)
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A random forest (RF) model was proposed to extend the superior SMAP dataset (named RF_SMAP) from 1979 to 2015, using the corresponding CCI time-series. The new long time-series RF_SMAP dataset, which will be available to download, will be of great value for a range of research in applications such as climate assessment, agricultural planning, food insecurity monitoring and drought assessment and monitoring.
07 Jun 2022
Reconstructed daily ground-level O3 in China over 2005–2021 for climatological, ecological, and health research
Chenhong Zhou, Fan Wang, Yike Guo, Cheng Liu, Dongsheng Ji, Yuesi Wang, Xiaobin Xu, Xiao Lu, Yan Wang, Gregory Carmichael, and Meng Gao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-187, https://doi.org/10.5194/essd-2022-187, 2022
Manuscript not accepted for further review (discussion: closed, 3 comments)
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We develop an eXtreme Gradient Boosting (XGBoost) model integrating high-resolution meteorological data, satellite retrievals of trace gases, etc. to provide reconstructed daily ground-level O3 over 2005–2021 in China. It can facilitate climatological, ecological, and health research. The dataset is freely available at Zenodo (https://zenodo.org/record/6507706#.Yo8hKujP13g; Zhou, 2022).
05 Apr 2022
NOAA Air Resources Laboratory Atmospheric Turbulence and Diffusion Division’s Measurements of Temperature, Humidity and Wind using Small Uncrewed Aircraft Systems to Support Short-Term Weather Forecasting Needs over Complex Terrain
Temple R. Lee, Travis J. Schuyler, Michael Buban, Edward J. Dumas, Tilden P. Meyers, and C. Bruce Baker
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-93, https://doi.org/10.5194/essd-2022-93, 2022
Preprint withdrawn (discussion: closed, 2 comments)
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Small uncrewed aircraft systems (sUxS), or drones, can be used to sample temperature, moisture, and wind in the lowest part of the atmosphere. In this study, we performed nearly 250 flights with our sUxS at a site about 20 miles northwest of Knoxville, Tennessee. We provided these datasets to forecasters at the local National Weather Service Weather Forecast Office to assist them with making their weather forecasts.
01 Apr 2022
A 148-year precipitation oxygen isoscape for China generated based on data fusion and bias correction of iGCMs simulations
Jiacheng Chen, Jie Chen, Xunchang John Zhang, Peiyi Peng, and Camille Risi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-460, https://doi.org/10.5194/essd-2021-460, 2022
Manuscript not accepted for further review (discussion: closed, 9 comments)
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To make full use of the advantages of isotope observations and simulations, this study generates a new dataset by integrating multi-GCM data based on data fusion and bias correction methods. This dataset contains monthly δ18Op over mainland China for the 1870–2017 period with a spatial resolution of 50–60 km. The built isoscape shows similar spatial and temporal distribution characteristics to observations, which is reliable and useful to extend the time and space of observations in China.
31 Mar 2022
Vegetation photosynthetic phenology metrics in northern terrestrial ecosystems: a dataset derived from a gross primary productivity product based on solar-induced chlorophyll fluorescence
Jing Fang, Xing Li, Jingfeng Xiao, Xiaodong Yan, Bolun Li, and Feng Liu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-452, https://doi.org/10.5194/essd-2021-452, 2022
Revised manuscript not accepted (discussion: closed, 5 comments)
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The dataset provided the vegetation photosynthetic phenology instead of traditional phenology to represent plant seasonal activities. This dataset had the latest period (2001–2020) and a fine spatial resolution (0.05 degree). Our phenology metrics revealed the spatial-temporal patterns of the multiple growing seasons in the Northern Hemisphere. The dataset will facilitate various research such as developing models, evaluating phenology shifts, and monitoring climate change worldwide.
28 Mar 2022
A long-term daily gridded snow depth dataset for the Northern Hemisphere from 1980 to 2019 based on machine learning
Yanxing Hu, Tao Che, Liyun Dai, Yu Zhu, Lin Xiao, Jie Deng, and Xin Li
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-63, https://doi.org/10.5194/essd-2022-63, 2022
Preprint withdrawn (discussion: closed, 2 comments)
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We propose a data fusion framework based on the random forest regression algorithm to derive a comprehensive snow depth product for the Northern Hemisphere from 1980 to 2019. This new fused snow depth dataset not only provides information about snow depth and its variation over the Northern Hemisphere but also presents potential value for hydrological and water cycle studies related to seasonal snowpacks.
11 Mar 2022
A new estimate of oceanic CO2 fluxes by machine learning reveals the impact of CO2 trends in different methods
Jiye Zeng, Tsuneo Matsunaga, and Tomoko Shirai
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-71, https://doi.org/10.5194/essd-2022-71, 2022
Manuscript not accepted for further review (discussion: closed, 8 comments)
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We have extracted the increase rates of ocean CO2 with three types of machine learning models. The results are new and important because scarce data made it difficult to use machine learning models for for ocean CO2 reconstruction and oceanic CO2 sink estimate. One of the approaches is to remove the trend in CO2 data obtained in multiple-years so that the models can learn the non-linear dependence of CO2 on seawater properties better.
09 Mar 2022
AWESOME: Archive for Water Erosion and Sediment Outflow MEasurements
Jinshi Jian, Xuan Du, Juying Jiao, Xiaohua Ren, Karl Auerswald, Ryan Stewart, Zeli Tan, Jianlin Zhao, Daniel L. Evans, Guangju Zhao, Nufang Fang, Wenyi Sun, Chao Yue, and Ben Bond-Lamberty
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-87, https://doi.org/10.5194/essd-2022-87, 2022
Manuscript not accepted for further review (discussion: closed, 2 comments)
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Field soil loss and sediment yield due to surface runoff observations were compiled into a database named AWESOME: Archive for Water Erosion and Sediment Outflow MEasurements. Annual soil erosion data from 1985 geographic sites and 75 countries have been compiled into AWESOME. This database aims to be an open framework for the scientific community to share field-based annual soil erosion measurements, enabling better understanding of the spatial and temporal variability of annual soil erosion.
01 Mar 2022
1km Monthly Precipitation and Temperatures Dataset for China from 1952 to 2019 based on a Brand-New and High-Quality Baseline Climatology Surface
Haibo Gong, Huiyu Liu, Xueqiao Xiang, Fusheng Jiao, Li Cao, and Xiaojuan Xu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-45, https://doi.org/10.5194/essd-2022-45, 2022
Manuscript not accepted for further review (discussion: closed, 3 comments)
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We created a brand-new baseline climatology surface (ChinaClim_baseline) and developed a 1km monthly precipitation and temperatures dataset in China during 1952–2019 (ChinaClim_time-series). Our results showed that ChinaClim_baseline and ChinaClim_time-series exhibited very high performance over China. ChinaClim_baseline and ChinaClim_time-series can play huge role in investigating the patterns of climate changes and their impacts on eco-environmental systems in China.
01 Mar 2022
CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data
Changming Li, Hanbo Yang, Wencong Yang, Ziwei Liu, Yao Jia, Sien Li, and Dawen Yang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-456, https://doi.org/10.5194/essd-2021-456, 2022
Revised manuscript not accepted (discussion: closed, 6 comments)
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A long-term (1980–2020) global ET product is generated based on a collocation-based merging method. The produced Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data (CAMELE) performed well over different vegetation coverage against in-situ data. For global comparison, the spatial distribution of multi-year average and annual variation were in consistent with inputs.The CAMELE products is freely available at https://doi.org/10.5281/zenodo.6283239 (Li et al., 2021).
25 Feb 2022
SEIA: a scale-selective eddy identification algorithm for the global ocean
Yikai Yang, Lili Zeng, and Qiang Wang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-77, https://doi.org/10.5194/essd-2022-77, 2022
Manuscript not accepted for further review (discussion: closed, 6 comments)
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The study of mesoscale eddies is highly reliant on the physical characteristics of the real ocean. In this study, we build an eddy identification algorithm that features two improvements over the previous ones. First, in the detection process, a scale-selective approach is employed to define the eddy boundary, avoiding the subjective constraint of the eddy shape. Second, a novel and effective overlap scheme is used to track eddies while taking into account their propagation characteristics.
17 Feb 2022
Ice Surface Velocity in the Eastern Arctic from Historical Satellite SAR Data
Tazio Strozzi, Andreas Wiesmann, Andreas Kääb, Thomas Schellenberger, and Frank Paul
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-44, https://doi.org/10.5194/essd-2022-44, 2022
Revised manuscript not accepted (discussion: closed, 5 comments)
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Knowledge on surface velocity of glaciers and ice caps contributes to a better understanding of a wide range of processes related to glacier dynamics, mass change and response to climate. Based on the release of historical satellite radar data from various space agencies we compiled nearly complete mosaics of winter ice surface velocities for the 1990's over the Eastern Arctic. Compared to the present state, we observe a general increase of ice velocities along with a retreat of glacier fronts.
09 Feb 2022
A past, present and future perspective on the European summer vapour pressure deficit
Daniel Balting, Simon Michel, Viorica Nagavciuc, Gerhard Helle, Mandy Freund, Gerhard H. Schleser, David Steger, Gerrit Lohmann, and Monica Ionita
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-47, https://doi.org/10.5194/essd-2022-47, 2022
Preprint withdrawn (discussion: closed, 4 comments)
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Vapor pressure deficit is a key component of vegetation dynamics, soil science, meteorology, and soil science. In this study, we reconstruct the variability of the vapor pressure deficit in the past and examine the changes in future scenarios using climate models. In this way, past, present and future changes of the vapor pressure deficit can be detected locally, regionally, and continentally with higher statistical significance.
28 Jan 2022
An in situ observation dataset of soil hydraulic properties and soil moisture in a high and cold mountainous area on the northeastern Qinghai-Tibet Plateau
Jie Tian, Baoqing Zhang, Xuejin Wang, and Chansheng He
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-21, https://doi.org/10.5194/essd-2022-21, 2022
Preprint withdrawn (discussion: closed, 8 comments)
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Based on soil profile data at depths of 5 cm and 25 cm from 238 sampling sites, and on soil data from 32 soil moisture (SM) stations at depths of 5 cm, 15 cm, 25 cm, 40 cm, and 60 cm, we compiled a soil hydraulic properties (SHP) and SM dataset for a mountainous area, Northeastern QTP. The dataset provides information about SHP variability and SM trends at a large-scale mountainous area, thus offers opportunity for further understanding of water and energy processes over the QTP.
07 Jan 2022
Surface elevation and ice thickness data between 2012 and 2020 at the ablation area of Artesonraju Glacier, Cordillera Blanca, Perú
Jonathan Oberreuter, Edwin Badillo-Rivera, Edwin Loarte, Katy Medina, Alejo Cochachin, and José Uribe
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-336, https://doi.org/10.5194/essd-2021-336, 2022
Manuscript not accepted for further review (discussion: closed, 3 comments)
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We present a representative set of data of interpreted ice thickness and ice surface elevation of the ablation area of the Artesonraju glacier between 2012 and 2020. The results show a maximum depth of 235 ± 18 m and a decreasing mean depth ranging from 134 ± 18 m in 2013 to 110 ± 18 m in 2020. Additionally, we estimate a mean ice thickness change rate of −4.2 ± 3.2 m yr−1 between 2014 and 2020, which is in agreement with the elevation change in the same period of −3.2 ± 0.2 m yr−1.
16 Dec 2021
Spatio-temporal evolution of glacial lakes in the Tibetan Plateau over the past 30 years
Xiangyang Dou, Xuanmei Fan, Ali P. Yunus, Junlin Xiong, Ran Tang, Xin Wang, and Qiang Xu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-354, https://doi.org/10.5194/essd-2021-354, 2021
Revised manuscript not accepted (discussion: closed, 4 comments)
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Due to global warming, the glaciers in the Tibetan Plateau (TP) undergoes rapid melting, leading to an increase in the number of glacial lakes and lake areas. However, these changes are not homogenous throughout TP. Here, we present the 30 years (1990–2019) record of glacial lakes inventory of TP using archived Landsat images. We showed that the number and area of glacial lakes increased by 3285 and 258.82 km2 in the last three decades in TP.
16 Dec 2021
A temporally consistent 8-day 0.05° gap-free snow cover extent dataset over the Northern Hemisphere for the period 1981–2019
Xiaona Chen, Shunlin Liang, Lian He, Yaping Yang, and Cong Yin
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-279, https://doi.org/10.5194/essd-2021-279, 2021
Preprint withdrawn (discussion: closed, 6 comments)
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The present study developed a 39 year consistent 8-day 0.05 degree gap-free SCE dataset over the NH for the period 1981–2019 as part of the Global LAnd Surface Satellite dataset (GLASS) product suite based on the NOAA AVHRR-SR CDR and several contributory datasets. Compared with published SCE datasets, GLASS SCE has several advantages in snow cover studies, including long time series, finer spatial resolution (especially for years before 2000), and complete spatial coverage.
10 Dec 2021
Deep-Learning-Based Harmonization and Super-Resolution of Near-Surface Air Temperature from CMIP6 Models (1850–2100)
Xikun Wei, Guojie Wang, Donghan Feng, Zheng Duan, Daniel Fiifi Tawia Hagan, Liangliang Tao, Lijuan Miao, Buda Su, and Tong Jiang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-418, https://doi.org/10.5194/essd-2021-418, 2021
Preprint withdrawn (discussion: closed, 2 comments)
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In this study, we use the deep learning (DL) method to generate the temperature data for the global land (except Antartica) at higher spatial resolution (0.5 degree) based on 31 different CMIP6 Earth system model(ESM). Our methods can perform bias correction, spatial downscaling and data merging simultaneously. The merged data have a remarkably better quality compared with the individual ESMs in terms of both spatial dimension and time dimension.
03 Dec 2021
Data on zooplankton occurrence and abundance in the Far East seas and adjacent Pacific Ocean waters
Igor Volvenko
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-415, https://doi.org/10.5194/essd-2021-415, 2021
Manuscript not accepted for further review (discussion: closed, 5 comments)
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Rare information from Russian ecosystem surveys (from 1984 to 2013) on the occurrence and abundance of net zooplankton with data for 214 taxa in the Chukchi and Bering Seas, the Sea of Okhotsk, the Sea of Japan and the North Pacific Ocean was recently verified, corrected, translated into English and from text to digital format, and supplemented by GIS maps of standard regions for which the data were summarized in order to increase their accessibility to the scientific community around the world.
20 Nov 2021
A data-driven topsoil δ13C dataset and the drivers of spatial variability across the Tibetan Plateau
Yunsen Lai, Shaoda Li, Yuehong Shi, Xinrui Luo, Liang Liu, Peng Yu, Guo Chen, Longxi Cao, Chunju Cai, Jian Sun, Shaohui Chen, Houyuan Lu, Xuanlong Ma, and Xiaolu Tang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-411, https://doi.org/10.5194/essd-2021-411, 2021
Manuscript not accepted for further review (discussion: closed, 4 comments)
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Topsoil (0–5 cm) carbon isotopes (δ13C) was predicted using Random Forest by the published observations and gridded environmental variables across the Tibetan Plateau (TP). Soil β values were also calculated across the TP. Results showed that spatially topsoil δ13C and β varied greatly across the TP. The developed topsoil δ13C and β dataset provide an independent data-driven benchmark for biogeochemical cycling models to study SOC turnover under ongoing climate change.
18 Nov 2021
New SMOS SSS maps in the framework of the Earth Observation data For Science and Innovation in the Black Sea
Estrella Olmedo, Verónica González-Gambau, Antonio Turiel, Cristina González-Haro, Aina García-Espriu, Marilaure Gregoire, Aida Álvera-Azcárate, Luminita Buga, and Marie-Hélène Rio
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-364, https://doi.org/10.5194/essd-2021-364, 2021
Revised manuscript not accepted (discussion: closed, 3 comments)
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We present the first dedicated satellite salinity product in the Black Sea. We use the measurements provided by the European Soil Moisture and Ocean Salinity mission. We introduce enhanced algorithms for dealing with the contamination produced by the Radio Frequency Interferences that strongly affect this basin. We also provide a complete quality assessment of the new product and give an estimated accuracy of it.
12 Nov 2021
Lake area and volume variation in the endorheic basin of the Tibetan Plateau from 1989 to 2019
Liuming Wang, Junxiao Wang, Mengyao Li, Liping Zhu, and Xingong Li
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-331, https://doi.org/10.5194/essd-2021-331, 2021
Manuscript not accepted for further review (discussion: closed, 2 comments)
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This research provides a comprehensive census on water volume change for the lakes greater than or equal to 1 km2 in the EBTP from 1989–2019 using Landsat imagery and digital elevation data. Our annual dataset, compared with satellite altimetry and other existing data, covers more lakes, especially small lakes in 1–10 km2, and longer time period. The dataset is valuable in studying the impacts of climate change and water balance in the region.
01 Oct 2021
Topo-bathymetric and oceanographic datasets for coastal flooding risk assessment: French Flooding Prevention Action Program of Saint-Malo
Léo Seyfried, Laurie Biscara, Fabien Leckler, Audrey Pasquet, and Héloise Michaud
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-316, https://doi.org/10.5194/essd-2021-316, 2021
Manuscript not accepted for further review (discussion: closed, 2 comments)
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The French Flooding Prevention Action Program of Saint-Malo focuses on improving the knowledge of coastal flooding risks. The proposed approach is to use in-situ data collection. Bathymetric and oceanographic measurement campaigns were conducted during the winter of 2018–2019. Topo-bathymetric and oceanographic datasets have been built from these measurement campaigns. These data allow the development and validation of numerical models to improve the prediction of coastal flooding risks.
23 Aug 2021
GPRChinaTemp1km: a high-resolution monthly air temperature dataset for China (1951–2020) based on machine learning
Qian He, Ming Wang, Kai Liu, Kaiwen Li, and Ziyu Jiang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-267, https://doi.org/10.5194/essd-2021-267, 2021
Manuscript not accepted for further review (discussion: closed, 2 comments)
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We used three machine learning models and determined that Gaussian process regression (GPR) is best suited to interpolation of air temperature data for China. The GPR-derived results were compared with that of traditional interpolation techniques and existing datasets and it was found that the accuracy of the GPR-derived data was better. Finally, we generated a gridded monthly air temperature dataset with 1 km resolution and high accuracy for China (1951–2020) using the GPR model.
10 Aug 2021
High-resolution land-use land-cover change data for regional climate modelling applications over Europe – Part 2: Historical and future changes
Peter Hoffmann, Vanessa Reinhart, Diana Rechid, Nathalie de Noblet-Ducoudré, Edouard L. Davin, Christina Asmus, Benjamin Bechtel, Jürgen Böhner, Eleni Katragkou, and Sebastiaan Luyssaert
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-252, https://doi.org/10.5194/essd-2021-252, 2021
Manuscript not accepted for further review (discussion: closed, 3 comments)
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This paper introduces the new high-resolution land-use land-cover change dataset LUCAS LUC historical and future land use and land cover change dataset (Version 1.0), tailored for use in regional climate models. Historical and projected future land use change information from the Land-Use Harmonization 2 (LUH2) dataset is translated into annual plant functional type changes from 1950 to 2015 and 2016 to 2100, respectively, by employing a newly developed land use translator.
21 Jul 2021
Global soil NO emissions for Atmospheric Chemical Transport Modelling: CAMS-GLOB-SOIL v2.2
David Simpson and Sabine Darras
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-221, https://doi.org/10.5194/essd-2021-221, 2021
Manuscript not accepted for further review (discussion: closed, 5 comments)
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We present a dataset of global soil NO emissions suitable for atmospheric chemistry modelling. Data are provided globally at 0.5° × 0.5° degrees horizontal resolution, and with monthly time resolution over the period 2000–2018. This paper presents the emission algorithms and their data-sources, some comments on the availability of soil NO emissions in other inventories (and how to avoid double-counting), and finally some preliminary modelling results and comparison with observed data.
13 Jul 2021
Fish and cephalopods monitoring on the Bay of Biscay and Celtic Sea continental shelves
Pascal Laffargue, Damien Delaunay, Vincent Badts, Olivier Berthele, Anne-Sophie Cornou, and François Garren
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-146, https://doi.org/10.5194/essd-2021-146, 2021
Revised manuscript not accepted (discussion: closed, 4 comments)
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The EVHOE fisheries survey has been observing the seabed for over 30 years. The data collected by bottom trawling provides an overview of the biodiversity of fish and cephalopods on the continental shelf of the Bay of Biscay and the Celtic Sea. They allow the monitoring of the abundance of 250 fish taxa and 45 cephalopod taxa in this region of the Northeast Atlantic.
02 Jul 2021
Development of soil and land cover databases for use in the Soil Water Assessment Tool from Irish National Soil Maps and CORINE Land Cover Maps for Ireland
Bidroha Basu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-169, https://doi.org/10.5194/essd-2021-169, 2021
Publication in ESSD not foreseen (discussion: closed, 4 comments)
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Soil Water Assessment Tool is a popular physically-based hydrologic model that simulates river discharge and water quality at any point of the river network. The model require soil, landcover, elevation and five meteorological variables for simulation. The default database of the model can be used only for river basins located in the United States. This study develops a new soil and landcover database for Ireland that can be integrated with the SWAT model for Irish river basins.
01 Jul 2021
A global CO2 flux dataset (2015–2019) inferred from OCO-2 retrievals using the Tan-Tracker inversion system
Zhe Jin, Xiangjun Tian, Rui Han, Yu Fu, Xin Li, Huiqin Mao, and Cuihong Chen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-210, https://doi.org/10.5194/essd-2021-210, 2021
Manuscript not accepted for further review (discussion: closed, 2 comments)
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Here we present a global and regional resolved terrestrial ecosystem and ocean carbon flux dataset during 2015–2019. The dataset was generated using the Tan-Tracker inversion system by absorbing satellite CO2 observations. The posterior 5-year annual mean global net carbon emissions were 5.35 PgC yr−1; the terrestrial ecosystem and ocean sinks were −4.07 and −3.33 PgC yr−1, respectively. This dataset can help understand global and regional carbon cycle, and support climate policy formulation.
18 Jun 2021
Fusing MODIS and AVHRR products to generate a global 1-km continuous NDVI time series covering four decades
Xiaobin Guan, Huanfeng Shen, Yuchen Wang, Dong Chu, Xinghua Li, Linwei Yue, Xinxin Liu, and Liangpei Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-156, https://doi.org/10.5194/essd-2021-156, 2021
Preprint withdrawn (discussion: closed, 7 comments)
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This study generated the first global 1-km continuous NDVI product (STFLNDVI) for 4-decades by fusing multi-source satellite products. Simulated and real-data assessments confirmed the satisfactory and stable accuracy of STFLNDVI regarding spatial details and temporal variations. STFLNDVI is an ideal solution to the trade-off between spatial resolution and time coverage in current NDVI products, which of great significance for long-term regional and global vegetation and climate change studies.
07 Jun 2021
Stable water isotope monitoring network of different water bodies in Shiyang River basin, a typical arid river in China
Guofeng Zhu, Yuwei Liu, Peiji Shi, Wenxiong Jia, Junju Zhou, Yuanfeng Liu, Xinggang Ma, Hanxiong Pan, Yu Zhang, Zhiyuan Zhang, Zhigang Sun, Leilei Yong, and Kailiang Zhao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-79, https://doi.org/10.5194/essd-2021-79, 2021
Revised manuscript not accepted (discussion: closed, 4 comments)
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We have established a stable water isotope monitoring network in the Shiyang River Basin. The monitoring station with six observation systems: river source area, oasis area, reservoir canal system area, oasis farmland area, ecological restoration area and salinized area.The data set includes the stable water isotopes of different water bodies and the meteorological and hydrological data in the Shiyang River Basin. So far, the data have been obtained for five consecutive years.
25 May 2021
Sea surface height anomaly and geostrophic velocity from altimetry measurements over the Arctic Ocean (2011–2018)
Francesca Doglioni, Robert Ricker, Benjamin Rabe, and Torsten Kanzow
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-170, https://doi.org/10.5194/essd-2021-170, 2021
Manuscript not accepted for further review (discussion: closed, 2 comments)
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This paper presents a new satellite-derived gridded dataset of sea surface height and geostrophic velocity, over the Arctic ice-covered and ice-free regions up to 88° N. The dataset includes velocities north of 82° N, which were not available before. We assess the dataset by comparison to one independent satellite dataset and to independent mooring data. Results show that the geostrophic velocity fields can resolve seasonal to interannual variability of boundary currents wider than about 50 km.
21 May 2021
Daily CO2 emission for China's provinces in 2019 and 2020
Duo Cui, Zhu Liu, CunCun Duan, Zhu Deng, Xiangzheng Deng, Xuanren Song, Xinyu Dou, and Taochun Sun
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-153, https://doi.org/10.5194/essd-2021-153, 2021
Revised manuscript not accepted (discussion: closed, 4 comments)
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Here we describe a daily CO2 emissions dataset from three industrial sectors such as power, industry and ground transport in 31 provinces of China in 2019 and 2020. We used national daily emissions from Carbon Monitor database and calculated updating provincial weight factor corresponding to CO2 emissions. This is the first timely updating provincial daily CO2 emissions dataset, which is critical for achieving carbon emissions reductions targets for China's provinces.
20 May 2021
A biomass equation dataset for common shrub species in China
Yang Wang, Wenting Xu, Zhiyao Tang, and Zongqiang Xie
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-44, https://doi.org/10.5194/essd-2021-44, 2021
Revised manuscript not accepted (discussion: closed, 4 comments)
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A dataset consists of 822 biomass equations specific to 167 shrub species in China was developed based on field measurement and literature review. The equations featured excellent goodness-of-fit (mean value of R2 and Fitness Index are larger than 0.8) and prediction precision (mean value of slope, R2 and Relative Error of the simple linear regression between predicted and measured data are 0.96, 0.85 and −4.1%). The dataset provides key parameters for terrestrial ecosystem biomass estimation.
22 Apr 2021
Daily standardized precipitation index with multiple time scale for monitoring water deficit across the mainland China from 1961 to 2018
Qianfeng Wang, Rongrong Zhang, Yanping Qu, Jingyu Zeng, Xiaoping Wu, Xiaozhen Zhou, Binyu Ren, Xiaohan Li, and Duhui Zhou
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-105, https://doi.org/10.5194/essd-2021-105, 2021
Preprint withdrawn (discussion: closed, 3 comments)
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The standardized precision index (SPI), which is commonly used for drought monitoring and assessment, is limited by its temporal resolution and cannot identify flash drought in less than one month. Therefore, we developed a new daily SPI dataset. The results show that the drought events identified by our SPI dataset were consistent with the historical drought events, which is effective and reliable. At the same time, the dataset will be open to the public free of charge.
15 Apr 2021
Climate-Biogeochemistry Interactions in the Tropical Ocean: Data collection and legacy
Gerd Krahmann, Damian L. Arévalo-Martínez, Andrew W. Dale, Marcus Dengler, Anja Engel, Nicolaas Glock, Patricia Grasse, Johannes Hahn, Helena Hauss, Mark Hopwood, Rainer Kiko, Alexandra Loginova, Carolin R. Löscher, Marie Maßmig, Alexandra-Sophie Roy, Renato Salvatteci, Stefan Sommer, Toste Tanhua, and Hela Mehrtens
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-308, https://doi.org/10.5194/essd-2020-308, 2021
Preprint withdrawn (discussion: closed, 6 comments)
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The project "Climate-Biogeochemistry Interactions in the Tropical Ocean" (SFB 754) was a multidisciplinary research project active from 2008 to 2019 aimed at a better understanding of the coupling between the tropical climate and ocean circulation and the ocean's oxygen and nutrient balance. On 34 research cruises, mainly in the Southeast Tropical Pacific and the Northeast Tropical Atlantic, 1071 physical, chemical and biological data sets were collected.
13 Apr 2021
Operational and experimental snow observation systems in the upper Rofental: data from 2017–2020
Michael Warscher, Thomas Marke, and Ulrich Strasser
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-68, https://doi.org/10.5194/essd-2021-68, 2021
Revised manuscript not accepted (discussion: closed, 8 comments)
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Continuous observations of snow and climate in high altitudes are still sparse. We present data from automatic weather and snow stations in the Ötztal Alps (Austria) that include continuous recordings of snow cover properties (snow depth, water equivalent, density, solid and liquid water content, snow temperature profiles, surface temperature, snow drift). The data can be used in different scientific fields, as well as in operational applications, i.e., avalanche warning and flood forecasting.
24 Mar 2021
A 1-km global dataset of historical (1979–2017) and future (2020–2100) Köppen-Geiger climate classification and bioclimatic variables
Diyang Cui, Shunlin Liang, Dongdong Wang, and Zheng Liu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-53, https://doi.org/10.5194/essd-2021-53, 2021
Preprint withdrawn (discussion: closed, 3 comments)
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The Köppen-Geiger climate classification has been widely applied in climate change and ecology studies to characterize climatic conditions. We present a new 1-km global dataset of Köppen-Geiger climate classification and bioclimatic variables for historical and future climates. The new climate maps offer higher classification accuracy, correspond well with distributions of vegetation and topographic features, and demonstrate the ability to identify recent and future changes in climate zones.
15 Mar 2021
Evaluation of the global glacier inventories and assessment of glacier elevation changes
over north-western Himalaya
Shakil Ahmad Romshoo, Tariq Abdullah, and Mustafa Hameed Bhat
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-28, https://doi.org/10.5194/essd-2021-28, 2021
Revised manuscript not accepted (discussion: closed, 8 comments)
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The study evaluates the global glacier inventories available for the study area with the newly generated Kashmir University Glacier Inventory (KUGI) for three Himalaya basins; Jhelum, Suru and Chenab. The study also assessed the glacier elevation changes over the study region. The glacier inventory and elevation change estimates would constitute a reliable database for research particularly in hydrology, glaciology, and climate change in the data scarce Himalayan region.
12 Mar 2021
High-resolution dataset of thermokarst lakes on the
Qinghai-Tibetan Plateau
Xu Chen, Cuicui Mu, Lin Jia, Zhilong Li, Chengyan Fan, Mei Mu, Xiaoqing Peng, and Xiaodong Wu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-378, https://doi.org/10.5194/essd-2020-378, 2021
Revised manuscript not accepted (discussion: closed, 4 comments)
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Thermokarst lakes have attracted significant attention because of their ability to regulate carbon cycle. Now, the distribution of thermokarst lakes on QTP remains largely unknown, hindering our understanding of the response of permafrost's carbon feedback to climate change. Here, based on the GEE platform, we examined the modern distribution (2018) of thermokarst lakes on the QTP using Sentinel-2A data. Results show that the total thermokarst lake area on the QTP is 1730.34 m2 km2.
19 Feb 2021
ERA5-based database of Atmospheric Rivers over Himalayas
Munir Ahmad Nayak, M. Farooq Azam, and Rosa Vellosa Lyngwa
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-397, https://doi.org/10.5194/essd-2020-397, 2021
Revised manuscript not accepted (discussion: closed, 9 comments)
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Atmospheric Rivers–– long and narrow plumes of intense horizontal water vapor transport in the lower part of the atmosphere––have been recognized among the key agents delivering extreme rainfall/snowfall over many mountainous regions around the globe. The Himalayas is an important exception where research on impacts of ARs is lacking. We develop a comprehensive ERA5-based database of ARs penetrating the foothills of the Himalayas, with a vision to flourish future research in this area.
01 Feb 2021
A database of net zooplankton of the Far East seas and adjacent Pacific Ocean waters
Igor V. Volvenko
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-29, https://doi.org/10.5194/essd-2021-29, 2021
Revised manuscript not accepted (discussion: closed, 4 comments)
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The information of plankton collected in 1984–2013 in the Far East seas and the Pacific Ocean used to create tables containing the species composition, occurrence and abundance of zooplankton. The data is aggregated by species, developmental stages, size fractions, regions, vertical layers of water, light and dark time of day, four seasons of the year and perennial periods. It has been verified, corrected, translated into English and from text to digital format to increase its availability.
26 Jan 2021
Data on the elemental composition (mobile fractions and total
content) of soils in catena at the SE Valdai Hills, Russia
Polina Enchilik, Ivan Semenkov, and Nikolay Kasimov
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-309, https://doi.org/10.5194/essd-2020-309, 2021
Revised manuscript not accepted (discussion: closed, 5 comments)
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This study presents a dataset on seasonal soils sampling in the southern part of the Central Forest Reserve (SE Valdai Hills) within a catena with Retisols under coniferous-deciduous forest on loess-like loams underlain by carbonate moraine deposits. 152 soil samples were taken to define total concentration of 67 chemical elements, content of three mobile fractions. We measured pH-value, total organic carbon content, seven particle-size classes and basicity from carbonates.
26 Jan 2021
Spatially explicit global gross domestic product (GDP) data
set consistent with the Shared Socioeconomic Pathways
Tingting Wang and Fubao Sun
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-10, https://doi.org/10.5194/essd-2021-10, 2021
Revised manuscript not accepted (discussion: closed, 4 comments)
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We produce a set of spatially explicit global GDP with consideration of two-children policy in China that presents substantial long-term changes for both historical period and for future projections under five SSPs to face the increasing demand of ScenarioMIP of high resolution for future socioeconomic development and climate change of adaption and mitigation research.
14 Jan 2021
Operational implementation of the burned area component of the
Copernicus Climate Change Service: from MODIS 250 m to OLCI
300 m data
Joshua Lizundia-Loiola, Magí Franquesa, Martin Boettcher, Grit Kirches, M. Lucrecia Pettinari, and Emilio Chuvieco
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-399, https://doi.org/10.5194/essd-2020-399, 2021
Preprint withdrawn (discussion: closed, 4 comments)
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The article presents the burned area product of the Copernicus Climate Change Service, called C3SBA10. It is the adaptation to Sentinel-3 OLCI data of the FireCCI51 global BA product. The paper shows how C3SBA10 is fully consistent with its predecessor, ensuring an uninterrupted provision of global burned area data from 2001 to present. The product is freely available in two monthly formats: in continental tiles at 300m spatial resolution, and globally at 0.25 degrees.
08 Jan 2021
1 km Monthly Precipitation and Temperatures Dataset for China from 1952 to 2019 based on a Brand-New and High-Quality Baseline Climatology Surface
Haibo Gong, Xueqiao Xiang, Huiyu Liu, Xiaojuan Xu, Fusheng Jiao, and Zhenshan Lin
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-361, https://doi.org/10.5194/essd-2020-361, 2021
Preprint withdrawn (discussion: closed, 2 comments)
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We created a brand-new baseline climatology surface (ChinaClim_baseline) and developed a 1 km monthly precipitation and temperatures dataset during 1952–2019 (ChinaClim_timeseries). ChinaClim_baseline can be used as an excellent baseline climatology surface for obtaining long-term climate datasets.ChinaClim_timeseries based on ChinaClim_baseline, is suitable for investigating the spatial-temporal climate changes and their impacts on eco-environmental systems in China.
28 Dec 2020
INGe: Intensity-ground motion dataset for Italy
Ilaria Oliveti, Licia Faenza, and Alberto Michelini
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-372, https://doi.org/10.5194/essd-2020-372, 2020
Revised manuscript not accepted (discussion: closed, 3 comments)
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This research makes available an updated and homogenous set of data related to Italian earthquakes for assessing parameters in terms of recording, event and station distributions as well as macroseismic intensity degrees. The work required the intersection of different sources and is expected to accelerate research progress in the field of hazard assessment, creation of near-real-time maps of ground motion and shaking intensity and calibration of relationships between earthquake parameters.
08 Dec 2020
Mineral element stocks in the Yedoma domain: a first assessment in
ice-rich permafrost regions
Arthur Monhonval, Sophie Opfergelt, Elisabeth Mauclet, Benoît Pereira, Aubry Vandeuren, Guido Grosse, Lutz Schirrmeister, Matthias Fuchs, Peter Kuhry, and Jens Strauss
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-359, https://doi.org/10.5194/essd-2020-359, 2020
Preprint withdrawn (discussion: closed, 4 comments)
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With global warming, ice-rich permafrost soils expose organic carbon to microbial degradation and unlock mineral elements as well. Interactions between mineral elements and organic carbon may enhance or mitigate microbial degradation. Here, we provide a large scale ice-rich permafrost mineral concentrations assessment and estimates of mineral element stocks in those deposits. Si is the most abundant mineral element and Fe and Al are present in the same order of magnitude as organic carbon.
27 Nov 2020
MIS 5e sea-level proxies in the eastern Mediterranean coastal region
Barbara Mauz, Dorit Sivan, and Ehud Galili
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-357, https://doi.org/10.5194/essd-2020-357, 2020
Preprint withdrawn (discussion: closed, 9 comments)
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Raised beaches have long been used to infer past sea-level fluctuations. Here we review data associated with such sea-level indicators for the eastern Mediterranean. Our standardised compilation of geological data confirm, albeit with large uncertainties, the position of the last interglacial sea level at around 5 m above modern sea level as predicted by various geophysical models.
29 Oct 2020
SoilErosionDB: A global database for surface runoff and soil
erosion evaluation
Jinshi Jian, Xuan Du, Ryan D. Stewart, Zeli Tan, and Ben Bond-Lamberty
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-283, https://doi.org/10.5194/essd-2020-283, 2020
Preprint withdrawn (discussion: closed, 4 comments)
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Field soil loss due to surface runoff observations were compiled into a global database (SoilErosionDB). The database focuses on three erosion-related metrics – surface runoff, soil erosion, and nutrient leaching – and also records background information. Data from 99 geographic sites and 22 countries around the world have been compiled into SoilErosionDB. SoilErosionDB aims to be a data framework for the scientific community to share field-based soil erosion measurements.
27 Oct 2020
A 3D map of englacial attenuation rate from radar reflections at
Law Dome, East Antarctica
Syed Abdul Salam, Jason L. Roberts, Felicity S. McCormack, Richard Coleman, and Jacqueline A. Halpin
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-146, https://doi.org/10.5194/essd-2020-146, 2020
Publication in ESSD not foreseen (discussion: closed, 3 comments)
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Accurate estimates of englacial temperature and geothermal heat flux are incredibly important
for constraining model simulations of ice dynamics (e.g. viscosity is temperature-dependent) and sliding. However, we currently have few direct measurements of vertical temperature (i.e. only at boreholes/ice domes) and geothermal heat flux in Antarctica. This method derives attenuation rates, that can then be mapped directly to englacial temperatures and geothermal heat flux.
07 Sep 2020
Consolidating the Randolph Glacier Inventory and the Glacier Inventory of China over the Qinghai-Tibetan Plateau and Investigating Glacier Changes Since the mid-20th Century
Xiaowan Liu, Zongxue Xu, Hong Yang, Xiuping Li, and Dingzhi Peng
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-71, https://doi.org/10.5194/essd-2020-71, 2020
Revised manuscript not accepted (discussion: closed, 4 comments)
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The retreat of glaciers over the QTP is intensifying. To understand changes in glaciers, the two inventories (RGI 4.0 and GIC-Ⅱ) provide potential, but glacier volumes are not convincing. The study recalculated and compared glacier volumes in RGI 4.0 and GIC-Ⅱ for the QTP. The results indicate the slope-dependent algorithm performs better than area-volume-based equations. The northern QTP has a larger degree of fragmentation. An obvious offset of glacier volumes in different aspects is observed.
25 Aug 2020
Radiosounding HARMonization (RHARM): a new homogenized dataset of radiosounding temperature, humidity and wind profiles with uncertainty
Fabio Madonna, Emanuele Tramutola, Souleymane Sy, Federico Serva, Monica Proto, Marco Rosoldi, Simone Gagliardi, Francesco Amato, Fabrizio Marra, Alessandro Fassò, Tom Gardiner, and Peter William Thorne
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-183, https://doi.org/10.5194/essd-2020-183, 2020
Revised manuscript not accepted (discussion: closed, 4 comments)
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In situ measurements, including radiosonde observations, are key for the study of climate. However, observations are more often than not influenced by instrumental effects which must be adjusted prior to their usage.
A novel approach, named RHARM (Radiosounding HARMonization), is able to improve quality of global radiosounding profiles of temperature, humidity and wind. RHARM also estimates the measurement uncertainties. This paper discusses the post-2004 radiosounding measurements only.
03 Aug 2020
EUFF (EUropean Flood Fatalities): A European flood fatalities database since 1980
Olga Petrucci, Luigi Aceto, Cinzia Bianchi, Victoria Bigot, Rudolf Brázdil, Moshe Inbar, Abdullah Kahraman, Özgenur Kılıç, Vassiliki Kotroni, Maria Carmen Llasat, Montserrat Llasat-Botija, Michele Mercuri, Katerina Papagiannaki, Susana Pereira, Jan Řehoř, Joan Rossello Geli, Paola Salvati, Freddy Vinet, and José Luis Zêzere
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-154, https://doi.org/10.5194/essd-2020-154, 2020
Preprint withdrawn (discussion: closed, 2 comments)
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EUFF 2020 database (EUropean Flood Fatalities-FF) contains 2483 flood fatalities (1980–2018) occurred in 8 countries. Gender, age, activity of FF and dynamics of accidents were obtained from documentary sources. 64.8 % of FF were killed by floods killing less than 10 people. Males were more numerous than females due higher proportion of them driving and working outdoors. FF 30–64 years old died traveling to home/work, driving vehicles dragged by water. Elderly people were trapped indoor by flood.
30 Jul 2020
δ13C values in stalagmites from tropical South America for the last two millennia
Valdir Felipe Novello, Francisco William da Cruz, Mathias Vuille, José Leandro Pereira Silveira Campos, Nicolás Misailidis Stríkis, James Apáestegui, Jean Sebastien Moquet, Vitor Azevedo, Angela Ampuero, Giselle Utida, Xianfeng Wang, Gustavo Macedo Paula-Santos, Plinio Jaqueto, Luiz Carlos Ruiz Pessenda, Daniel O. Breecker, and Ivo Karmann
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-184, https://doi.org/10.5194/essd-2020-184, 2020
Preprint withdrawn (discussion: closed, 4 comments)
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Measurements of carbon isotope (δ13C) ratios are essential for (paleo)environmental studies, such as those regarding the carbon cycle, past food consumption by pre-historic societies, paleo-vegetation reconstructions, soil dynamics and aspects regarding animal migration, etc. Here, we test the influence of local hydroclimate, altitude, temperature and changing vegetation types on δ13C values in stalagmites by employing a new dataset from South America covering the last 2 millennia.
17 Jul 2020
Sensitivity of air quality modelling to different emission inventories:
a case study over Europe
Philippe Thunis, Monica Crippa, Cornelis Cuvelier, Diego Guizzardi, Alexander De Meij, Gabriel Oreggioni, and Enrico Pisoni
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-144, https://doi.org/10.5194/essd-2020-144, 2020
Preprint withdrawn (discussion: closed, 3 comments)
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A comparison of emissions inventories for air quality modelling, in Europe, is presented. Among these inventories, EDGAR v5.0 for air pollutants is introduced and validated, through a simulation with the EMEP model.
05 Mar 2020
First automatic pH measurements in the bottom layer of the Ria de Vigo (NW Spain)
Juan L. Herrera, Jose González, Fiz F. Pérez, Gabriel Rosón, and Ramiro A. Varela
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-45, https://doi.org/10.5194/essd-2020-45, 2020
Preprint withdrawn (discussion: closed, 4 comments)
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Oceanic Acidification (OA) is a big concern linked to climate change. Project A.RIOS is creating a network to monitor OA at the Galician coast (NW Spain). Between 2017 and May 2019, we moored a pH recording device four times at the Ría de Vigo. We present the pH data collected along with other seawater variables. All the data is available at PANGEA (https://doi.pangaea.de/10.1594/PANGAEA.909933). We think that this data improves the Ría pH database by much.
02 Mar 2020
Retrospect and prospect of a section-based stratigraphic and palaeontological database – Geobiodiversity Database
Hong-He Xu, Zhi-Bin Niu, and Yan-Sen Chen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-40, https://doi.org/10.5194/essd-2020-40, 2020
Preprint withdrawn (discussion: closed, 11 comments)
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We present the Geobiodiversity database (GBDB), a comprehensive stratigraphic and palaeontological database. It includes abundant geological records and contributes research on early Palaeozoic palaeogeography, tectonic and biodiversity evolution of China. Besides data collecting, processing and visualization, the team pays more attention to data analyzing with Artificial Intelligence. GBDB is to push forward the quantitative research of palaeontology and stratigraphy in the era of big data.
21 Feb 2020
A Multiscale Spatial Dataset for Policy-Driven Land Developability across the United States, 2001–2011
Hung Chak Ho and Guangqing Chi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-3, https://doi.org/10.5194/essd-2020-3, 2020
Revised manuscript not accepted (discussion: closed, 3 comments)
Short summary
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We presented a land developability index that captures the spatiotemporal changes of land vulnerability and development, which is restricted by land policy and geophysical limits. The land developability mapping is implemented to estimate land information across the contiguous United States in 2001, 2006, and 2011. Multiscale data products for state-, county- and census-tract-levels are provided. This approach can be extended to other countries with modifications for their specific scenarios.
07 Feb 2020
A remote sensing-based dataset to characterize the ecosystem functioning and functional diversity of a Biosphere Reserve: Sierra Nevada (SE Spain)
Beatriz P. Cazorla, Javier Cabello, Andrés Reyes, Emilio Guirado, Julio Peñas, Antonio J. Pérez-Luque, and Domingo Alcaraz-Segura
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-198, https://doi.org/10.5194/essd-2019-198, 2020
Revised manuscript not accepted (discussion: closed, 5 comments)
Short summary
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Our dataset characterizes the spatial patterns and temporal dynamics of ecosystem functioning and functional diversity in Sierra Nevada (Spain) from time-series of satellite images of vegetation greenness from 2001 to 2018. The dataset brings to scientists, managers and citizens the first characterization of the functional diversity at ecosystem level developed in a Mediterranean biodiversity hotspot, useful to improve the understanding, monitoring and management of ecosystem processes.
02 Jan 2020
A dataset of distributed global water withdrawal from 1960 to 2017
Denghua Yan, Baisha Weng, Tianling Qin, Hao Wang, Xiangnan Li, Yuheng Yang, Kun Wang, Zhenyu Lv, Jianwei Wang, Meng Li, Shan He, Fang Liu, Shanshan Liu, Wuxia Bi, Ting Xu, Xiaoqing Shi, Zihao Man, Congwu Sun, Meiyu Liu, Mengke Wang, Yinghou Huang, Haoyu Long, Yongzhen Niu, Batsuren Dorjsuren, Mohammed Gedefaw, Abel Girma, and Asaminew Abiyu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-224, https://doi.org/10.5194/essd-2019-224, 2020
Publication in ESSD not foreseen (discussion: closed, 7 comments)
Short summary
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This paper provides a complete data set of global water withdrawal. There is almost no continuous long series of water withdrawal data globally. Moreover, most of the data released by international organizations is based on national scale and lacks finer regional data. Therefore, appropriate methods are needed to modify the data. This dataset has important practical significance in promoting the harmonious and sustainable development of economy and resources of the world.
16 Dec 2019
AntAir: satellite-derived 1 km daily Antarctic air temperatures since 2003
Hanna Meyer, Marwan Katurji, Florian Detsch, Fraser Morgan, Thomas Nauss, Pierre Roudier, and Peyman Zawar-Reza
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-215, https://doi.org/10.5194/essd-2019-215, 2019
Preprint withdrawn (discussion: closed, 8 comments)
Short summary
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Air temperature is an important baseline parameter for terrestrial Antarctica in the context of patterns and processes in climatology, hydrology or ecology. In this paper, we present AntAir, a new dataset of gridded air temperatures in 1 km spatial and daily temporal resolution that is available since 2003. AntAir was created by modelling daily air temperature from MODIS satellite-based land surface temperature using machine learning algorithms and measurements from 70 weather stations.
28 Nov 2019
The Vulcan Version 3.0 High-Resolution Fossil Fuel CO2
Emissions for the United States
Kevin R. Gurney, Jianming Liang, Risa Patarasuk, Yang Song, Jianhua Huang, and Geoffrey Roest
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-154, https://doi.org/10.5194/essd-2019-154, 2019
Preprint withdrawn (discussion: closed, 8 comments)
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Estimates of greenhouse gas emissions (GHG), in fine space/time detail is critical to guiding and efficiently implementing emission reduction policies. This paper presents the Vulcan version 3.0 which quantifies fossil fuel carbon dioxide emissions at a spatial resolution of 1 km2/hourly for the entire United States. We describe the methods, share key results, and compare to a global emissions data product.
15 Nov 2019
Glacier terminus retreat, mass budget, and surface velocity
measurements for the Jankar Chhu Watershed, Lahaul Himalaya,
India
Suresh Das and Milap Chand Sharma
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-201, https://doi.org/10.5194/essd-2019-201, 2019
Preprint withdrawn (discussion: closed, 3 comments)
Short summary
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This study presents multi-temporal and multiparameter glacier change measurements between 1971 and 2016 for the Jankar Chhu Watershed (JCW), Lahaul Himalaya, India, based on satellite remote sensing data and the limited number of field observations. Present findings suggest a much lower retreat rate than previously reported. This study offers a valuable dataset on recent glacier variations, which are of critical importance to assess the future glacier dynamics on a regional scale.
11 Nov 2019
A high-quality hourly, daily and monthly solar irradiance
dataset in China during 1981–2014 based on MERRA-2
Reanalysis products
Wenmin Qin, Lunche Wang, Ming Zhang, Lan Feng, Hejin Fang, Hong Cai, Yulong Zhong, Qiqi Zhu, and Chao Yang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-204, https://doi.org/10.5194/essd-2019-204, 2019
Preprint withdrawn (discussion: closed, 4 comments)
Short summary
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High-quality data of GHI, DNI and DIF are of vital importance for solar applications, but the solar radiation observations are sparse around the world. In this study, long-term grid GHI, DNI and DIF datasets (0.50° (lat) *0.625° (lon)) with high accuracy, high spatial continiuty and high temporal continiuty throughout mainland China during 1981–2014 were constructed. The grid GHI, DNI and DIF dataset generated in this study can assist in numerous solar studies and applications.
07 Nov 2019
Surface global and diffuse solar radiation over China acquired from geostationary Multi-functional Transport Satellite data
Hou Jiang, Ning Lu, Jun Qin, and Ling Yao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-209, https://doi.org/10.5194/essd-2019-209, 2019
Revised manuscript not accepted (discussion: closed, 6 comments)
Short summary
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This study produces a 12-year (2007–2018) hourly surface global and diffuse solar radiation dataset with 0.05° grids over China based on geostationary satellite data using deep learning technique. The produced data have much higher accuracy than results of traditional methods and current widely-used products due to integration of spatial pattern through convolutional neural network, enlightening studies involving spatial features, and reveal the long-term regional variations in fine scales.
07 Nov 2019
Development of Asia Pacific Weather Statistics (APWS) dataset for use in Soil and Water Assessment Tool (SWAT) simulation
Uttam Ghimire, Taimoor Akhtar, Narayan Shrestha, and Prasad Daggupati
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-178, https://doi.org/10.5194/essd-2019-178, 2019
Revised manuscript not accepted (discussion: closed, 6 comments)
Short summary
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The lack of availability of detailed historical weather data is a significant hindrance to development of robust hydrological models for the Asia Pacific (AP) Region. The Soil and Water Assessment Tool (SWAT) is a popular model in the region that fills weather data gaps in data scarce scenarios. This paper presents the Asia Pacific Weather Statistics (APWS) dataset, that is designed for SWAT and provides a more accurate weather data gap filling mechanism than SWAT's default dataset.
05 Nov 2019
Gap-Free Global Annual Soil Moisture: 15km Grids for 1991–2016
Mario Guevara, Michela Taufer, and Rodrigo Vargas
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-191, https://doi.org/10.5194/essd-2019-191, 2019
Revised manuscript not accepted (discussion: closed, 9 comments)
09 Oct 2019
Measurements of atmospheric radioactivity dose rates over the North Pacific after the Fukushima Daiichi nuclear power plant accident during the period March 2011 - March 2015
Kuo-Ying Wang, Philippe Nedelec, Hannah Clark, and Neil Harris
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-156, https://doi.org/10.5194/essd-2019-156, 2019
Revised manuscript not accepted (discussion: closed, 4 comments)
Short summary
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Atmospheric dispersion of radioactive materials following the accidents of the 11 March 2011 Fukushima Nuclear Power Plants contain very distinctive characteristics
over the land surface areas and over the oceanic atmosphere. Air dose rates measured over the land surface areas exhibit a combination of the effects from the deposited radioactive materials on the surface and the airborne radioactive materials. Air dose rates measured over the oceanic atmosphere were due to airborne particles.
25 Jul 2019
A 30-meter resolution national urban land-cover dataset of China, 2000–2015
Wenhui Kuang, Shu Zhang, Xiaoyong Li, and Dengsheng Lu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-65, https://doi.org/10.5194/essd-2019-65, 2019
Revised manuscript not accepted (discussion: closed, 8 comments)
Short summary
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Urban land use/cover dynamics datasets play a vital role in urban planning and management. However, a series of national urban land-cover data covering more than 15 years is relatively rare. Here we developed a new data subset called CLUD-Urban from 2000 to 2015 at five-year intervals with a 30 m resolution. The total urban area of China was 62800 km2 in 2015, with average fractions of 70.70 % and 26.54 % for ISA and UGS, respectively. CLUD-Urban will be useful in urban environment.
18 Jul 2019
A Maximum Entropy Production Evaporation – Transpiration Product for Australia
Olanrewaju Abiodun, Okke Batelaan, Huade Guan, and Jingfeng Wang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-70, https://doi.org/10.5194/essd-2019-70, 2019
Revised manuscript not accepted (discussion: closed, 4 comments)
Short summary
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Evaporation, Transpiration, and Evapotranspiration Products for Australia based on the Maximum Entropy Production model (MEP). We produce each of these datasets over the entire Australia for the years 2003–2013 on daily timescales at the 5 km spatial resolution. The data have been tested across various land covers and regions of Australia where measured data is available. These products may be used for research, education and other relevant studies and/or analysis.
17 Jul 2019
Air temperature and light intensity in a tropical rainforest of Brunei Darussalam: Time series recorded in 2017
Kazimierz Becek and Kamaria A. Salim
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-35, https://doi.org/10.5194/essd-2019-35, 2019
Revised manuscript not accepted (discussion: closed, 4 comments)
Short summary
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This data set of air temperature and light intensity is a part of a larger collection recorded since 2011 in a rainforest located in Brunei/Borneo. Hence, the temperature and light intensity under canopy of a forest are controlled by the conditions of this leaving ecosystem, a meaningful investigations of the high resolution and long-term records of these parameters may contribute to overall body of knowledge on forest ecosystems, in particular in the context of global climate change.
04 Jul 2019
Trawl macrofauna of the Far-Eastern Seas and North Pacific: proportion of commercial species, potential product yield, and price range
Igor V. Volvenko, Alexei M. Orlov, Andrey V. Gebruk, Oleg N. Katugin, Alla A. Ogorodnikova, Georgy M. Vinogradov, and Olga A. Maznikova
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-92, https://doi.org/10.5194/essd-2019-92, 2019
Revised manuscript not accepted (discussion: closed, 6 comments)
Short summary
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A checklist of 1541 animal species from the Chukchi, Bering, Okhotsk, and Japan seas and the North Pacific was generated based on 68903 trawl tows at depths 5-2200 m. For each species, the scientific and common names, areas where species were collected, trawl type, commercial importance, possible product yield and minimum wholesale prices is given. Analyzed checklist can be used for development of bioresource management, aquaculture and conservation, assessment of environmental damage.
18 Jun 2019
High-spatial-resolution monthly temperature and precipitation dataset for China for 1901–2017
Shouzhang Peng, Yongxia Ding, and Zhi Li
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-83, https://doi.org/10.5194/essd-2019-83, 2019
Preprint withdrawn (discussion: closed, 6 comments)
Short summary
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This study describes a 1-km monthly minimum, maximum, and mean temperatures and precipitation dataset for the main land area of China during 1901–2017. It is the first dataset developed with such a high spatiotemporal resolution over such a long time period for China. The dataset was evaluated by the observations during 1951–2016 using 745 national weather stations, and the evaluation indicated the dataset is sufficiently reliable for use in investigation of climate change across China.
10 Apr 2019
Impact of anthropogenic activities on global land oxygen flux
Xiaoyue Liu, Jianping Huang, Jiping Huang, Changyu Li, and Lei Ding
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-36, https://doi.org/10.5194/essd-2019-36, 2019
Revised manuscript not accepted (discussion: closed, 5 comments)
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Atmospheric oxygen is crucial to life on earth. In this paper, we quantify oxygen consumption and production processes under the impact of human activities to build a dynamic global oxygen budget on a grid scale. Our result shows that the oxygen consumption related to human activities has risen significantly in recent decades while the oxygen production only displays a faint increase. Regionally, boreal forest and Tibetan plateau become the most important sources of atmospheric oxygen.
21 Jan 2019
Data rescue of daily climate station-based observations across Europe
Joan Ramon Coll, Gerard van der Schrier, Enric Aguilar, Dubravka Rasol, Roberto Coscarelli, and Andrés Bishop
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-6, https://doi.org/10.5194/essd-2019-6, 2019
Revised manuscript not accepted (discussion: closed, 3 comments)
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Around 610K climate station-based observations were rescued over European regions for the main climate variables (maximum and minimum temperature, rainfall, sunshine duration and snow depth) along the 20th century at daily scale in the INDECIS Project. Rescued data will constitute the INDECIS-Raw-Dataset, which will expand current European data coverage contained in the European Climate Assessment & Dataset (ECA&D). The expansion of ECA&D will improve the high-quality of future climate products.
21 Jan 2019
Exploring Geomorphic Processes and Martian Gale Crater Topography on Mars using CTX and HiRISE Express Image Dataset
Pavan Kumar, Jiwan Singh Rawat, Sufia Rehman, Haroon Sajjad, Meenu Rani, Kirti Kumar Mohanto, Osheen Rai, and Bismay Tripathy
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-4, https://doi.org/10.5194/essd-2019-4, 2019
Preprint retracted (discussion: closed, 26 comments)
Short summary
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Geomorphic processes on Martian Gale Crater topography were explored using visible and topographic datasets from CTX, HiRISE images. Fluvial and aeolian processes have been active and produced various landforms on Martin Gale Crater surface over the ages. Single layer ejecta was found concentrated between equatorial latitudes while double, multiple and radial layers were observed at middle latitudes.Findings of this study will escalate knowledge about the surface features on Gale Crater.
02 Jan 2019
Snow cover variability across glaciers in Nordenskiöldland (Svalbard) from point measurements in 2014–2016
Marco Möller and Rebecca Möller
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-158, https://doi.org/10.5194/essd-2018-158, 2019
Publication in ESSD not foreseen (discussion: closed, 5 comments)
Short summary
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Snow water equivalents (SWE) are useful for calibration and validation of different snow cover-related modeling efforts (e.g. glacier mass balance or snow drift). They form a measure of snow accumulation better than snow depth as they are independent of density differences and thus comparable. A dataset is presented which provides point data of snow depth and density measurements as well as of calculated SWE from 109 locations on glaciers in the central region of the Arctic archipelago Svalbard.
18 Dec 2018
Present-day high-resolution ice velocity map of the Antarctic ice sheet
Qiang Shen, Hansheng Wang, C. K. Shum, Liming Jiang, Hou Tse Hsu, Jinglong Dong, Song Mao, and Fan Gao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-149, https://doi.org/10.5194/essd-2018-149, 2018
Revised manuscript not accepted (discussion: closed, 3 comments)
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Thorough and continued monitoring of ice-sheet dynamics is of utmost importance for accurate predictions of ice-sheet behavior in the future. We present a new Antarctic ice velocity map at a 100-m grid spacing inferred from Landsat 8 imagery data. The datasets will allow for a comprehensive continent-wide investigation of ice dynamics and mass balance with the existing and future ice velocity measurements, provide control and calibration for ice-sheet modelling.
24 Oct 2018
WFDEI-GEM-CaPA: A 38-year High-Resolution Meteorological Forcing Data Set for Land Surface Modeling in North America
Zilefac Elvis Asong, Howard Simon Wheater, John Willard Pomeroy, Alain Pietroniro, Mohamed Ezzat Elshamy, Daniel Princz, and Alex Cannon
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-128, https://doi.org/10.5194/essd-2018-128, 2018
Preprint withdrawn (discussion: closed, 3 comments)
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Cold regions hydrology is very sensitive to the impacts of climate warming. We need better hydrological models driven by reliable climate data in order to assess hydrologic responses to climate change. Cold regions often have sparse surface observations, particularly at high elevations that generate a major amount of runoff. We produce a long-term dataset that can be used to better understand and represent the seasonal/inter-annual variability of hydrological fluxes and the the timing of runoff.
23 Oct 2018
A new global dataset of phase synchronization of temperature and
precipitation: its climatology and contribution to global vegetation
productivity
Zhigang Sun, Zhu Ouyang, Xubo Zhang, and Wei Ren
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-92, https://doi.org/10.5194/essd-2018-92, 2018
Revised manuscript not accepted (discussion: closed, 4 comments)
Short summary
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The phase synchronization of temperature and precipitation helps to regulate vegetation distribution and productivity across global lands. However, it has been rarely considered in previous studies. We proposed a synchronization index of temperature and precipitation (SI-TaP), generated a global 60-year dataset of SI-TaP using meteorological forcings, and then investigated its climatology and contribution to global vegetation productivity.
13 Sep 2018
Depth-to-Bedrock Map of China at a Spatial Resolution of 100 Meters
Fapeng Yan, Wei Shangguan, Jing Zhang, and Bifeng Hu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-103, https://doi.org/10.5194/essd-2018-103, 2018
Revised manuscript not accepted (discussion: closed, 6 comments)
Short summary
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A depth-to-bedrock map of China was produced at 100-meter resolution based on 6,382 observations and 133 covariates.
This map is the most detailed and accurate one at the national scale.
The uncertainty map was provided as a map quality reference.
The ensemble machine learning model explains 57% of variation in spatial distribution.
The four most important covariates for the map production are topographic wetness index, landform, topographic openness index, and slope.
09 Aug 2018
Autonomous seawater pCO2 and pH time series from 40 surface buoys and the emergence of anthropogenic trends
Adrienne J. Sutton, Richard A. Feely, Stacy Maenner-Jones, Sylvia Musielwicz, John Osborne, Colin Dietrich, Natalie Monacci, Jessica Cross, Randy Bott, and Alex Kozyr
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-77, https://doi.org/10.5194/essd-2018-77, 2018
Preprint withdrawn (discussion: closed, 1 comment)
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Long-term observations are critical records for distinguishing natural cycles from climate change. We present a data set of 40 surface ocean CO2 and pH time series that suggest the time length necessary to detect a trend in seawater CO2 due to uptake of atmospheric CO2 varies from 8 years in the least variable ocean regions to 41 years in the most variable coastal regions. This data set provides a tool to evaluate natural cycles of ocean CO2, with long-term trends emerging as records lengthen.
27 Jul 2018
GMED: Global Marine Environment Datasets for environment visualisation and species distribution modelling
Zeenatul Basher, David A. Bowden, and Mark J. Costello
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-64, https://doi.org/10.5194/essd-2018-64, 2018
Revised manuscript not accepted (discussion: closed, 4 comments)
Short summary
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GMED is a global marine environment dataset with climatic, biological and geophysical environmental layers of both present days, past and future environmental conditions. Data layers were compiled together into a uniform Geographic Informations System ready dataset having a similar extent and spatial resolution (5 arc-minute, approx. 9.2 km). The GMED dataset is ready to use with popular species distribution modeling (SDM) software and for any other marine environment visualization exercises.
06 Jul 2018
MARES Project: Hydrographic data of the San Jorge Gulf from
R/V Coriolis II cruise in 2014
Juan Cruz Carbajal, Marcela Charo, Andrés Luján Rivas, and Cèdric Chavanne
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-75, https://doi.org/10.5194/essd-2018-75, 2018
Revised manuscript not accepted (discussion: closed, 4 comments)
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Some surveys were carried out between Feb 4-10 2014 on board of the Canadian research vessel Coriolis II during an oceanographic cruise in San Jorge Gulf, Argentine. We describe the cruise design and the procedures used for the acquisition, calibration and the processing of the dataset obtained during the research, in order to obtain the highest possible quality ocean data. The San Jorge Gulf plays a key role in the development of ecological processes and is closely related to fishery resources.
14 Jun 2018
Hydrometric measurements in peatland-dominated, discontinuous permafrost at Scotty Creek, Northwest Territories, Canada – Changing Cold Regions Network (CCRN) Special Observation and Analysis Period (SOAP)
Kristine M. Haynes, Ryan F. Connon, and William L. Quinton
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-68, https://doi.org/10.5194/essd-2018-68, 2018
Preprint withdrawn (discussion: closed, 5 comments)
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This paper presents a hydrological and micrometeorological dataset collected in the Scotty Creek basin, Northwest Territories, Canada over the course of the Changing Cold Regions Network (CCRN) Special Observation and Analysis Period (SOAP) year of 1 October 2014 to 30 September 2015. This dataset can be used in coordination with other datasets, including those from the CCRN, to examine spatio-temporal effects of meteorological conditions on local hydrological responses across cold regions.
18 May 2018
Biogeochemical climatology for the Southern Benguela Upwelling System, constructed from in situ monitoring data
Stephanie de Villiers
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-60, https://doi.org/10.5194/essd-2018-60, 2018
Revised manuscript not accepted (discussion: closed, 3 comments)
Short summary
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An annual and a seasonal biogeochemical climatology had been constructed for the Southern Benguela Upwelling System, from in situ temperature, salinity, oxygen, nutrients and chlorophyll-a data, collected along a 12 station monitoring line, sampled at monthly intervals from 2001 to 2012. The climatologies exhibit clear spatial and seasonal variability patterns for all parameters, that yield important insight into the SBUS upwelling cycle. These data sets will also aid future modelling efforts.
24 Apr 2018
Heuristic Approach to Multidimensional Temporal Assignment of Spatial Grid Points for Effective Vegetation Monitoring and Land Use in East Africa
Virginia M. Miori, Nicolle Clements, and Brian W. Segulin
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-18, https://doi.org/10.5194/essd-2018-18, 2018
Preprint retracted (discussion: closed, 3 comments)
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Vegetation trends are studied for effective land use in the East African region, based on the Normalized Difference Vegetation Index (NDVI). This paper improves upon an original random block assignment of grid points (pixels) to regions by formulating the spatial problem as a multidimensional temporal assignment problem. This methodology controls an overall measure of false discoveries, but make them as powerful as possible by capturing spatial dependency present in the data.
16 Apr 2018
Water remote sensing reflectance from radiative transfer
simulations on a global scale of Inherent Optical Properties
Lena Kritten, Rene Preusker, Carsten Brockmann, Tonio Fincke, Sampsa Koponen, and Jürgen Fischer
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-5, https://doi.org/10.5194/essd-2018-5, 2018
Revised manuscript has not been submitted (discussion: closed, 2 comments)
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This article provides the description and validation of a database storing simulated spectra of water remote sensing reflectance. This reflectance is e.g. derived from satellite measurements in order to gain information on ocean and inland water constituents. The database can be used as a forward model for the retrieval of water optical properties. It was generated using a radiative transfer model including all important optical processes in atmosphere and ocean.
23 Mar 2018
Characterizing the Spatial and Temporal Availability of Very High Resolution Satellite Imagery for Monitoring Applications
Myroslava Lesiv, Linda See, Juan Carlos Laso Bayas, Tobias Sturn, Dmitry Schepaschenko, Matthias Karner, Inian Moorthy, Ian McCallum, and Steffen Fritz
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-13, https://doi.org/10.5194/essd-2018-13, 2018
Preprint withdrawn (discussion: closed, 6 comments)
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The paper presents a global snapshot of the spatial and temporal distribution of VHR satellite imagery in Google Earth and Bing Maps. The results show an uneven availability globally, with biases in certain areas such as the USA, Europe and India. We also show that the availability of VHR imagery is currently not adequate for monitoring protected areas and deforestation, but is better suited for monitoring changes in cropland or urban areas.
30 Jan 2018
Evaluation oxygen deficiency in the Chesapeake Bay
Wencheng L. Slater, James J. Pierson, and Michael R. Roman
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2017-129, https://doi.org/10.5194/essd-2017-129, 2018
Preprint withdrawn (discussion: closed, 2 comments)
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We conducted six cruises in 2010 and 2011 to understand the effects of low dissolved oxygen to the ecosystem in the Chesapeake Bay, USA. We also estimated the oxygen supply and demand of zooplankton according to the surrounding environment. We found that hypoxia could be underestimated if only using dissolved oxygen, especially under warm and salty conditions. Instead, we recommend that temperature and species-specific metrics also be considered when setting water quality goals for management.
09 Jan 2018
Monthly-averaged maps of surface BRDF parameters in ten spectral
bands for land and water masses
Philippe Blanc, Benoit Gschwind, Lionel Ménard, and Lucien Wald
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2017-141, https://doi.org/10.5194/essd-2017-141, 2018
Revised manuscript not accepted (discussion: closed, 6 comments)
Short summary
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The construction of worldwide maps of surface bidirectional reflectance distribution function (BRDF) parameters is presented. The original data stems from the NASA which is making available maps of BRDF parameters from the Moderate Resolution Imaging Spectroradiometer instrument. The original data has been averaged for each month for the period 2004–2011 and a spatial completion of data was performed. The dataset in NetCDF is referenced by doi:10.23646/85d2cd5f-ccaa-482e-a4c9-b6e0c59d966c.
27 Nov 2017
TNO_CAMS high resolution European emission inventory 2000–2014
for anthropogenic CO2 and future years following two different
pathways
Hugo A. C. Denier van der Gon, Jeroen J. P. Kuenen, Greet Janssens-Maenhout, Ulrike Döring, Sander Jonkers, and Antoon Visschedijk
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2017-124, https://doi.org/10.5194/essd-2017-124, 2017
Revised manuscript has not been submitted (discussion: closed, 2 comments)
Short summary
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A gridded European emission inventory for CO2 from fossil fuels and biofuels (2000–2014) is made to support carbon cycle modelling and city-scale identification of emissions. Future projections following a “business as usual” and a climate change scenario are included to study possible CO2 emission changes between Paris Agreement stocktake years (2023-2028-2033). The data can be used for testing GHG verification modelling and sensitivity tests for designing a future observational system.
08 Sep 2017
Supraglacial debris cover assessment in the Caucasus
Mountains, 1986-2000-2014
Levan G. Tielidze, Roger D. Wheate, Stanislav S. Kutuzov, Kate Doyle, and Ivan I. Lavrentiev
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2017-96, https://doi.org/10.5194/essd-2017-96, 2017
Revised manuscript has not been submitted (discussion: closed, 4 comments)
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It is true, that research is being conducting in hard conditions in Georgia than other mountain countries of Europe. In addition, there was huge generation gap in glaciology field after the USSR colaps (1990s). But gradually we try to develop glaciology research in Georgia and in the Caucasus, as it is vitally important such a mountain region with > 2000 glaciers.
28 Aug 2017
EDGAR v4.3.2 Global Atlas of the three major Greenhouse
Gas Emissions for the period 1970–2012
Greet Janssens-Maenhout, Monica Crippa, Diego Guizzardi, Marilena Muntean, Edwin Schaaf, Frank Dentener, Peter Bergamaschi, Valerio Pagliari, Jos G. J. Olivier, Jeroen A. H. W. Peters, John A. van Aardenne, Suvi Monni, Ulrike Doering, and A. M. Roxana Petrescu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2017-79, https://doi.org/10.5194/essd-2017-79, 2017
Revised manuscript not accepted (discussion: closed, 4 comments)
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The Emissions Database for Global Atmospheric Research supports climate policy making with a global dataset at disaggregated country & source-sector level for 1970–2012. This dataset is not only unique in its space/time coverage, but also in its completeness & consistency of CO2, CH4 & N2O emissions compilation for all anthropogenic activities except land use. Comparison with UNFCCC values show that estimates are within the uncertainty range, but have an annual variation smaller than this range.
30 Jun 2017
Long-term weather, hydrometric, and water chemistry datasets in high-temporal resolution at the La Salle River watershed in Manitoba, Canada
Marcos R. C. Cordeiro, Jason A. Vanrobaeys, and Henry F. Wilson
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2017-57, https://doi.org/10.5194/essd-2017-57, 2017
Preprint withdrawn (discussion: closed, 8 comments)
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The research, conducted in Manitoba, Canada, involved the development of datasets for hydrological modelling applications. The datasets included weather, hydrometric and water chemistry variables required to run models at an hourly time-step and assess their predictive performance for stream flow and water quality. The data and methods developed will be useful for other hydrological assessments and modelling studies in this region and in similar landscapes and climates around the world.
13 Feb 2017
A Global Model of Predicted Peregrine Falcon (Falco peregrinus) Distribution with Open Source GIS Code and 104 Open Access
Layers for use by the global public
Sumithra Sriram and Falk Huettmann
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2016-65, https://doi.org/10.5194/essd-2016-65, 2017
Revised manuscript not accepted (discussion: closed, 6 comments)
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Using the best-available open access data from GBIF, and a compilation of over a hundred high resolution global GIS layers that incorporated variables such as biological, climatic, and socio-economic predictors, we built the first generalizable model ever obtained using 104 predictors on a 1 km scale, predicting the potential ecological niche of Peregrine Falcons (Falco peregrinus) around the world.
The GIS layers can be found at https://scholarworks.alaska.edu/handle/11122/7151.
13 Sep 2016
Hydrometeorological observations from the rain-to-snow transition
zone: a dataset from the Johnston Draw catchment, Reynolds Creek
Experimental Watershed, Idaho, USA
Clarissa L. Enslin, Sarah E. Godsey, Danny Marks, Patrick R. Kormos, Mark S. Seyfried, James P. McNamara, and Timothy E. Link
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2016-44, https://doi.org/10.5194/essd-2016-44, 2016
Preprint withdrawn (discussion: closed, 2 comments)
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Weather data in mountainous rain-to-snow transition zones are limited, but vital for water resources. We present a 10-year dataset for this zone that includes hourly temperatures, relative humidity, stream flow, snow depth, precipitation, wind speed/direction, solar energy, and soil moisture at 11 stations. Average air temperatures are near freezing eight months each year, so that slight warming may determine whether rain falls instead of snow, affecting water supplies, ecosystems and fire risk.
25 Aug 2016
Dynamical Downscaling Data for Studying Climatic
Impacts on Hydrology, Permafrost, and Ecosystems in
Arctic Alaska
Lei Cai, Vladimir A. Alexeev, Christopher D. Arp, Benjamin M. Jones, Anna Liljedahl, and Anne Gädeke
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2016-31, https://doi.org/10.5194/essd-2016-31, 2016
Preprint withdrawn (discussion: closed, 2 comments)
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This study produced a high-resolution dynamical downscaling data set for the Alaskan North Slope and surrounding areas. It helps to resolve the problem of the sparse observation over this region, where routinely and accurately measuring climatic variables is extremely difficult. This data set boosts up multiple research projects that explore the various climatic impacts over the Alaskan North Slope of the past and the future.
23 Aug 2016
Understanding the representativeness of FLUXNET for upscaling
carbon flux from eddy covariance measurements
Jitendra Kumar, Forrest M. Hoffman, William W. Hargrove, and Nathan Collier
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2016-36, https://doi.org/10.5194/essd-2016-36, 2016
Preprint withdrawn (discussion: closed, 6 comments)
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The Eddy-covariance measurements from global network of flux sites help understand the emergent ecosystem properties. This study presents an approach to assess the representativeness of the observations at the flux sites and upscale the measured fluxes to develop time series of high resolution global gridded data set. Upscaled gross primary productivity data sets captures the heterogeneity of terrestrial ecosystem and reflects the seasonal and interannual variability observed at flux sites.
28 Jul 2016
Hydrochemical assessment of Semarang area using multivariate statistics: A sample based dataset
Dasapta Erwin Irawan and Thomas Triadi Putranto
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2016-29, https://doi.org/10.5194/essd-2016-29, 2016
Revised manuscript not accepted (discussion: closed, 4 comments)
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This paper is written as a part of our project in analyzing groundwater system in Semarang (Indonesia) area based on the water quality. Semarang is highly dense populated, serves as the capital of Mid Java Province. The aquifer in this area is a combination between volcanic and alluvium system. All data has been clarified and validate on-field. We applied free statistical package for later analysis. The code is given in this paper. Hopefully we can gain constructive comments to improve our work.
23 Jun 2015
A harmonised dataset of greenhouse gas emissions inventories from cities under the EU Covenant of Mayors initiative
A. Iancu, S. Martelli, A. K. Cerutti, G. Janssens-Maenhout, G. Melica, S. Rivas-Calvete, A. Kona, P. Zancanella, and P. Bertoldi
Earth Syst. Sci. Data Discuss., 8, 461–507, https://doi.org/10.5194/essdd-8-461-2015, https://doi.org/10.5194/essdd-8-461-2015, 2015
Preprint withdrawn (discussion: closed, 3 comments)
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The Covenant of Mayors initiative, currently counting 6185 local authorities, representing almost 32% of the population of the European Union, is now gathering the largest collection of local inventories built on a common methodology, on final energy consumption and associated greenhouse gases emissions. The paper presents a sample of 919 inventories, checked for scientific robustness and consistency with implied emissions factors, enriched with the mitigation actions of the local action plans.
10 Apr 2014
Microzooplankton functional responses in the lab and in the field
S. F. Sailley and E. T. Buitenhuis
Earth Syst. Sci. Data Discuss., 7, 149–167, https://doi.org/10.5194/essdd-7-149-2014, https://doi.org/10.5194/essdd-7-149-2014, 2014
Revised manuscript not accepted (discussion: closed, 6 comments)
28 Feb 2012
Supraglacial dust and debris: geochemical compositions from glaciers in Svalbard, southern Norway, Nepal and New Zealand
K. A. Casey
Earth Syst. Sci. Data Discuss., 5, 107–145, https://doi.org/10.5194/essdd-5-107-2012, https://doi.org/10.5194/essdd-5-107-2012, 2012
Revised manuscript not accepted (discussion: closed, 4 comments)
21 Oct 2011
Data recovery of A06 and A07 WOCE cruises
N. M. Fajar, F. F. Pérez, A. Velo, and A. F. Ríos
Earth Syst. Sci. Data Discuss., 4, 99–122, https://doi.org/10.5194/essdd-4-99-2011, https://doi.org/10.5194/essdd-4-99-2011, 2011
Revised manuscript not accepted (discussion: closed, 11 comments)