ESSD - recent papers
https://essd.copernicus.org/articles/
Combined list of the recent articles of the journal Earth System Science Data and the recent discussion forum Earth System Science Data DiscussionsHarmonized European Union subnational crop statistics can reveal climate impacts and crop cultivation shifts
https://doi.org/10.5194/essd-16-1623-2024
<b>Harmonized European Union subnational crop statistics can reveal climate impacts and crop cultivation shifts</b><br>
Giulia Ronchetti, Luigi Nisini Scacchiafichi, Lorenzo Seguini, Iacopo Cerrani, and Marijn van der Velde<br>
Earth Syst. Sci. Data, 16, 1623–1649, https://doi.org/10.5194/essd-16-1623-2024, 2024<br>
We present a dataset of EU-wide harmonized subnational crop area, production, and yield statistics with information on data sources, processing steps, missing and derived data, and quality checks. Statistical records (344 282) collected from 1975 to 2020 for soft and durum wheat, winter and spring barley, grain maize, sunflower, and sugar beet were aligned with the EUROSTAT crop legend and the 2016 territorial classification for 961 regions. Time series have a median length of 21 years.
2024-03-27T22:31:14+01:00A Climate Data Record of Stratospheric Aerosols
https://doi.org/10.5194/essd-2023-538
<b>A Climate Data Record of Stratospheric Aerosols</b><br>
Viktoria F. Sofieva, Alexei Rozanov, Monika Szelag, John P. Burrows, Christian Retscher, Robert Damadeo, Doug Degenstein, Landon A. Rieger, and Adam Bourassa<br>
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-538,2024<br>
<b>Preprint under review for ESSD</b> (discussion: open, 0 comments)<br>
Climate-related studies need information about the distribution of stratospheric aerosols, which influence the energy balance of the Earth’s atmosphere. In this work, we present a merged dataset of vertically resolved stratospheric aerosol extinction coefficients, which is derived from data by six limb and occultation satellite instruments. The created aerosol climate record covers the period from October 1984 until May 2022. It can be used in various climate-related studies.
2024-03-27T22:31:14+01:00GHOST: A globally harmonised dataset of surface atmospheric composition measurements
https://doi.org/10.5194/essd-2023-397
<b>GHOST: A globally harmonised dataset of surface atmospheric composition measurements</b><br>
Dene Bowdalo, Sara Basart, Marc Guevara, Oriol Jorba, Carlos Pérez García-Pando, Monica Jaimes Palomera, Olivia Rivera Hernandez, Melissa Puchalski, David Gay, Jörg Klausen, Sergio Moreno, Stoyka Netcheva, and Oksana Tarasova<br>
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-397,2024<br>
<b>Preprint under review for ESSD</b> (discussion: open, 0 comments)<br>
GHOST: Globally Harmonised Observations in Space and Time, represents one of the biggest collection of harmonised measurements of atmospheric composition at the surface. In total, 7,275,148,646 measurements from 1970–2023, of 227 different components, from 38 reporting networks, are compiled, parsed, and standardised. Components processed include gaseous species, total and speciated particulate matter, and aerosol optical properties.
2024-03-27T22:31:14+01:00Providing quality-assessed and standardised soil data to support global mapping and modelling (WoSIS snapshot 2023)
https://doi.org/10.5194/essd-2024-14
<b>Providing quality-assessed and standardised soil data to support global mapping and modelling (WoSIS snapshot 2023)</b><br>
Niels Hindrik Batjes, Luis Calisto, and Luis Moreira de Sousa<br>
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-14,2024<br>
<b>Preprint under review for ESSD</b> (discussion: open, 0 comments)<br>
Soils are an important provider of ecosystem services. This dataset provides quality-assessed and standardised soil data to support digital soil mapping and environmental applications at a broad scale. The underpinning soil profiles were shared by a wide range of data providers. Special attention was paid to the standardisation of soil property definitions, analytical method descriptions and property values. We present three measures to assess “fitness-for-intended-use” of the standardised data.
2024-03-27T22:31:14+01:00HiQ-LAI: a high-quality reprocessed MODIS leaf area index dataset with better spatiotemporal consistency from 2000 to 2022
https://doi.org/10.5194/essd-16-1601-2024
<b>HiQ-LAI: a high-quality reprocessed MODIS leaf area index dataset with better spatiotemporal consistency from 2000 to 2022</b><br>
Kai Yan, Jingrui Wang, Rui Peng, Kai Yang, Xiuzhi Chen, Gaofei Yin, Jinwei Dong, Marie Weiss, Jiabin Pu, and Ranga B. Myneni<br>
Earth Syst. Sci. Data, 16, 1601–1622, https://doi.org/10.5194/essd-16-1601-2024, 2024<br>
Variations in observational conditions have led to poor spatiotemporal consistency in leaf area index (LAI) time series. Using prior knowledge, we leveraged high-quality observations and spatiotemporal correlation to reprocess MODIS LAI, thereby generating HiQ-LAI, a product that exhibits fewer abnormal fluctuations in time series. Reprocessing was done on Google Earth Engine, providing users with convenient access to this value-added data and facilitating large-scale research and applications.
2024-03-26T22:31:14+01:00A Deep Convective Systems Database Derived from the Intercalibrated Meteorological Geostationary Satellite Fleet and the TOOCAN algorithm (2012–2020)
https://doi.org/10.5194/essd-2024-36
<b>A Deep Convective Systems Database Derived from the Intercalibrated Meteorological Geostationary Satellite Fleet and the TOOCAN algorithm (2012–2020)</b><br>
Thomas Fiolleau and Remy Roca<br>
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-36,2024<br>
<b>Preprint under review for ESSD</b> (discussion: open, 0 comments)<br>
This paper presents a tropical deep convective system database over the 2012–2020 period and built from a cloud tracking algorithm called TOOCAN, which has been applied on homogenized infrared observation from a fleet of geostationary satellites. This database aims at analyzing the tropical deep convective systems, the evolution of their associated characteristics along their life cycle, their organization and their importance in the hydrological and energy cycle...
2024-03-26T22:31:14+01:00AIUB-GRACE gravity field solutions for G3P: processing strategies and instrument parameterization
https://doi.org/10.5194/essd-16-1589-2024
<b>AIUB-GRACE gravity field solutions for G3P: processing strategies and instrument parameterization</b><br>
Neda Darbeheshti, Martin Lasser, Ulrich Meyer, Daniel Arnold, and Adrian Jäggi<br>
Earth Syst. Sci. Data, 16, 1589–1599, https://doi.org/10.5194/essd-16-1589-2024, 2024<br>
This paper discusses strategies to improve the GRACE gravity field monthly solutions computed at the Astronomical Institute of the University of Bern. We updated the input observations and background models, as well as improving processing strategies in terms of instrument data screening and instrument parameterization.
2024-03-25T22:31:14+01:00A synthesis of Global Streamflow Characteristics, Hydrometeorology, and Catchment Attributes (GSHA) for large sample river-centric studies
https://doi.org/10.5194/essd-16-1559-2024
<b>A synthesis of Global Streamflow Characteristics, Hydrometeorology, and Catchment Attributes (GSHA) for large sample river-centric studies</b><br>
Ziyun Yin, Peirong Lin, Ryan Riggs, George H. Allen, Xiangyong Lei, Ziyan Zheng, and Siyu Cai<br>
Earth Syst. Sci. Data, 16, 1559–1587, https://doi.org/10.5194/essd-16-1559-2024, 2024<br>
Large-sample hydrology (LSH) datasets have been the backbone of hydrological model parameter estimation and data-driven machine learning models for hydrological processes. This study complements existing LSH studies by creating a dataset with improved sample coverage, uncertainty estimates, and dynamic descriptions of human activities, which are all crucial to hydrological understanding and modeling.
2024-03-25T22:31:14+01:00SEA-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
https://doi.org/10.5194/essd-2024-90
<b>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</b><br>
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<br>
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-90,2024<br>
<b>Preprint under review for ESSD</b> (discussion: open, 0 comments)<br>
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.
2024-03-25T22:31:14+01:00Dataset of stable isotopes of precipitation in the Eurasian continent
https://doi.org/10.5194/essd-16-1543-2024
<b>Dataset of stable isotopes of precipitation in the Eurasian continent</b><br>
Longhu Chen, Qinqin Wang, Guofeng Zhu, Xinrui Lin, Dongdong Qiu, Yinying Jiao, Siyu Lu, Rui Li, Gaojia Meng, and Yuhao Wang<br>
Earth Syst. Sci. Data, 16, 1543–1557, https://doi.org/10.5194/essd-16-1543-2024, 2024<br>
We have compiled data regarding stable precipitation isotopes from 842 sampling points throughout the Eurasian continent since 1961, accumulating a total of 51 753 data records. The collected data have undergone pre-processing and statistical analysis. We also analysed the spatiotemporal distribution of stable precipitation isotopes across the Eurasian continent and their interrelationships with meteorological elements.
2024-03-21T22:31:14+01:00First comprehensive stable isotope dataset of diverse water units in a permafrost-dominated catchment on the Qinghai–Xizang Plateau
https://doi.org/10.5194/essd-2024-54
<b>First comprehensive stable isotope dataset of diverse water units in a permafrost-dominated catchment on the Qinghai–Xizang Plateau</b><br>
Yuzhong Yang, Qingbai Wu, Xiaoyan Guo, Lu Zhou, Helin Yao, Dandan Zhang, Zhongqiong Zhang, Ji Chen, and Guojun Liu<br>
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-54,2024<br>
<b>Preprint under review for ESSD</b> (discussion: open, 0 comments)<br>
Beiluhe Basin is located in the hinterland of QXP, which contains lots of thermokarst lakes, streams, and natural springs. These water components are critical to permafrost hydrological processes. From 2017 to 2022, we have sampled massive liquid water and ground ice samples and analyzed the stable isotopes. Then, we built the first stable isotope dataset on central QXP, which provides a new basis for understanding the hydrological effects of permafrost degradation on the QXP.
2024-03-21T22:31:14+01:00Meteorological, snow and soil data, CO2, water and energy fluxes from a low-Arctic valley of Northern Quebec
https://doi.org/10.5194/essd-16-1523-2024
<b>Meteorological, snow and soil data, CO2, water and energy fluxes from a low-Arctic valley of Northern Quebec</b><br>
Florent Domine, Denis Sarrazin, Daniel F. Nadeau, Georg Lackner, and Maria Belke-Brea<br>
Earth Syst. Sci. Data, 16, 1523–1541, https://doi.org/10.5194/essd-16-1523-2024, 2024<br>
The forest–tundra ecotone is the transition region between the boreal forest and Arctic tundra. It spans over 13 000 km across the Arctic and is evolving rapidly because of climate change. We provide extensive data sets of two sites 850 m apart, one in tundra and one in forest in this ecotone for use in various models. Data include meteorological and flux data and unique snow and soil physics data.
2024-03-20T22:31:14+01:00FOCA: a new quality-controlled database of floods and catchment descriptors in Italy
https://doi.org/10.5194/essd-16-1503-2024
<b>FOCA: a new quality-controlled database of floods and catchment descriptors in Italy</b><br>
Pierluigi Claps, Giulia Evangelista, Daniele Ganora, Paola Mazzoglio, and Irene Monforte<br>
Earth Syst. Sci. Data, 16, 1503–1522, https://doi.org/10.5194/essd-16-1503-2024, 2024<br>
FOCA (Italian FlOod and Catchment Atlas) is the first systematic collection of data on Italian river catchments. It comprises geomorphological, soil, land cover, NDVI, climatological and extreme rainfall catchment attributes. FOCA also contains 631 peak and daily discharge time series covering the 1911–2016 period. Using this first nationwide data collection, a wide range of applications, in particular flood studies, can be undertaken within the Italian territory.
2024-03-20T22:31:14+01:00A benchmark data set for long-term monitoring in the eLTER site Gesäuse-Johnsbachtal
https://doi.org/10.5194/essd-2024-12
<b>A benchmark data set for long-term monitoring in the eLTER site Gesäuse-Johnsbachtal</b><br>
Florian Lippl, Alexander Maringer, Margit Kurka, Jakob Abermann, Wolfgang Schöner, and Manuela Hirschmugl<br>
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-12,2024<br>
<b>Preprint under review for ESSD</b> (discussion: open, 1 comment)<br>
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.
2024-03-18T22:31:14+01:00An observational network of ground surface temperature under different land-cover types on the northeastern Qinghai–Tibet Plateau
https://doi.org/10.5194/essd-16-1425-2024
<b>An observational network of ground surface temperature under different land-cover types on the northeastern Qinghai–Tibet Plateau</b><br>
Raul-David Şerban, Huijun Jin, Mihaela Şerban, Giacomo Bertoldi, Dongliang Luo, Qingfeng Wang, Qiang Ma, Ruixia He, Xiaoying Jin, Xinze Li, Jianjun Tang, and Hongwei Wang<br>
Earth Syst. Sci. Data, 16, 1425–1446, https://doi.org/10.5194/essd-16-1425-2024, 2024<br>
A particular observational network for ground surface temperature (GST) has been established on the northeastern Qinghai–Tibet Plateau, covering various environmental conditions and scales. This analysis revealed the substantial influences of the land cover on the spatial variability in GST over short distances (<16 m). Improving the monitoring of GST is important for the biophysical processes at the land–atmosphere boundary and for understanding the climate change impacts on cold environments.
2024-03-15T22:31:14+01:00DINOSTRAT version 2.1-GTS2020
https://doi.org/10.5194/essd-16-1447-2024
<b>DINOSTRAT version 2.1-GTS2020</b><br>
Peter K. Bijl<br>
Earth Syst. Sci. Data, 16, 1447–1452, https://doi.org/10.5194/essd-16-1447-2024, 2024<br>
This new version release of DINOSTRAT, version 2.1, aligns stratigraphic ranges of dinoflagellate cysts (dinocysts), a microfossil group, to the latest Geologic Time Scale. In this release I present the evolution of dinocyst subfamilies from the Middle Triassic to the modern period.
2024-03-15T22:31:14+01:00GLC_FCS30D: the first global 30 m land-cover dynamics monitoring product with a fine classification system for the period from 1985 to 2022 generated using dense-time-series Landsat imagery and the continuous change-detection method
https://doi.org/10.5194/essd-16-1353-2024
<b>GLC_FCS30D: the first global 30 m land-cover dynamics monitoring product with a fine classification system for the period from 1985 to 2022 generated using dense-time-series Landsat imagery and the continuous change-detection method</b><br>
Xiao Zhang, Tingting Zhao, Hong Xu, Wendi Liu, Jinqing Wang, Xidong Chen, and Liangyun Liu<br>
Earth Syst. Sci. Data, 16, 1353–1381, https://doi.org/10.5194/essd-16-1353-2024, 2024<br>
This work describes GLC_FCS30D, the first global 30 m land-cover dynamics monitoring dataset, which contains 35 land-cover subcategories and covers the period of 1985–2022 in 26 time steps (its maps are updated every 5 years before 2000 and annually after 2000).
2024-03-15T22:31:14+01:00Systematically tracking the hourly progression of large wildfires using GOES satellite observations
https://doi.org/10.5194/essd-16-1395-2024
<b>Systematically tracking the hourly progression of large wildfires using GOES satellite observations</b><br>
Tianjia Liu, James T. Randerson, Yang Chen, Douglas C. Morton, Elizabeth B. Wiggins, Padhraic Smyth, Efi Foufoula-Georgiou, Roy Nadler, and Omer Nevo<br>
Earth Syst. Sci. Data, 16, 1395–1424, https://doi.org/10.5194/essd-16-1395-2024, 2024<br>
To improve our understanding of extreme wildfire behavior, we use geostationary satellite data to develop the GOFER algorithm and track the hourly fire progression of large wildfires. GOFER fills a key temporal gap present in other fire tracking products that rely on low-Earth-orbit imagery and reveals considerable variability in fire spread rates on diurnal timescales. We create a product of hourly fire perimeters, active-fire lines, and fire spread rates for 28 fires in California.
2024-03-15T22:31:14+01:00A regolith lead isoscape of Australia
https://doi.org/10.5194/essd-16-1383-2024
<b>A regolith lead isoscape of Australia</b><br>
Candan U. Desem, Patrice de Caritat, Jon Woodhead, Roland Maas, and Graham Carr<br>
Earth Syst. Sci. Data, 16, 1383–1393, https://doi.org/10.5194/essd-16-1383-2024, 2024<br>
Lead (Pb) isotopes form a potent tracer in studies of provenance, mineral exploration and environmental remediation. Previously, however, Pb isotope analysis has rarely been deployed at a continental scale. Here we present a new regolith Pb isotope dataset for Australia, which includes 1119 large catchments encompassing 5.6 × 106 km2 or close to ~75 % of the continent. Isoscape maps have been produced for use in diverse fields of study.
2024-03-15T22:31:14+01:00A Lagrangian coherent eddy atlas for biogeochemical applications in the North Pacific Subtropical Gyre
https://doi.org/10.5194/essd-16-1475-2024
<b>A Lagrangian coherent eddy atlas for biogeochemical applications in the North Pacific Subtropical Gyre</b><br>
Alexandra E. Jones-Kellett and Michael J. Follows<br>
Earth Syst. Sci. Data, 16, 1475–1501, https://doi.org/10.5194/essd-16-1475-2024, 2024<br>
Ocean eddies can limit horizontal mixing, potentially isolating phytoplankton populations and affecting their concentration. We used two decades of satellite data and computer simulations to identify and track eddy-trapping boundaries in the Pacific Ocean for application in phytoplankton research. Although some eddies trap water masses for months, many continuously mix with surrounding waters. A case study shows how eddy trapping can enhance the signature of a phytoplankton bloom.
2024-03-15T22:31:14+01:00