Articles | Volume 13, issue 4
https://doi.org/10.5194/essd-13-1593-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-1593-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
15 Apr 2021
Data description paper |
| 15 Apr 2021
| 15 Apr 2021
SoilKsatDB: global database of soil saturated hydraulic conductivity measurements for geoscience applications
Soil and Terrestrial Environmental Physics, Department of Environmental Systems Science, ETH, Zürich, Switzerland
Tomislav Hengl
OpenGeoHub foundation, Wageningen, the Netherlands
EnvirometriX, Wageningen, the Netherlands
Peter Lehmann
Soil and Terrestrial Environmental Physics, Department of Environmental Systems Science, ETH, Zürich, Switzerland
Sara Bonetti
Institute for Sustainable Resources, Bartlett School of Environment, Energy and Resources, University College London, London, UK
Soil Physics and Land Management Group, Wageningen University, Wageningen, the Netherlands
Soil and Terrestrial Environmental Physics, Department of Environmental Systems Science, ETH, Zürich, Switzerland
Division of Hydrologic Sciences, Desert Research Institute, Reno, NV, USA
Related authors
Tomislav Hengl, Davide Consoli, Xuemeng Tian, Travis W. Nauman, Madlene Nussbaum, Mustafa Serkan Isik, Leandro Parente, Yu-Feng Ho, Rolf Simoes, Surya Gupta, Alessandro Samuel-Rosa, Taciara Zborowski Horst, José Lucas Safanelli, and Nancy Harris
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-336, https://doi.org/10.5194/essd-2025-336, 2025
Preprint under review for ESSD
Short summary
Short summary
We used satellite data and thousands of soil samples to create detailed global maps showing how soil changes over time. These maps reveal important patterns in soil health, such as a significant global loss of soil carbon in the past 25 years. Our results help track land degradation and support better land restoration efforts. This work provides a new global tool for understanding and protecting soil, a key resource for food, water, and climate.
Gerald Dicen, Floriane Guillevic, Surya Gupta, Pierre-Alexis Chaboche, Katrin Meusburger, Pierre Sabatier, Olivier Evrard, and Christine Alewell
Earth Syst. Sci. Data, 17, 1529–1549, https://doi.org/10.5194/essd-17-1529-2025, https://doi.org/10.5194/essd-17-1529-2025, 2025
Short summary
Short summary
Fallout radionuclides (FRNs) such as 137Cs and 239+240Pu are considered to be critical tools in various environmental research. Here, we compiled reference soil data on these FRNs from the literature to build a comprehensive database. Using this database, we determined the distribution and sources of 137Cs and 239+240Pu. We also demonstrated how the database can be used to identify the environmental factors that influence their distribution using a machine learning algorithm.
Tobias Karl David Weber, Lutz Weihermüller, Attila Nemes, Michel Bechtold, Aurore Degré, Efstathios Diamantopoulos, Simone Fatichi, Vilim Filipović, Surya Gupta, Tobias L. Hohenbrink, Daniel R. Hirmas, Conrad Jackisch, Quirijn de Jong van Lier, John Koestel, Peter Lehmann, Toby R. Marthews, Budiman Minasny, Holger Pagel, Martine van der Ploeg, Shahab Aldin Shojaeezadeh, Simon Fiil Svane, Brigitta Szabó, Harry Vereecken, Anne Verhoef, Michael Young, Yijian Zeng, Yonggen Zhang, and Sara Bonetti
Hydrol. Earth Syst. Sci., 28, 3391–3433, https://doi.org/10.5194/hess-28-3391-2024, https://doi.org/10.5194/hess-28-3391-2024, 2024
Short summary
Short summary
Pedotransfer functions (PTFs) are used to predict parameters of models describing the hydraulic properties of soils. The appropriateness of these predictions critically relies on the nature of the datasets for training the PTFs and the physical comprehensiveness of the models. This roadmap paper is addressed to PTF developers and users and critically reflects the utility and future of PTFs. To this end, we present a manifesto aiming at a paradigm shift in PTF research.
Tomislav Hengl, Davide Consoli, Xuemeng Tian, Travis W. Nauman, Madlene Nussbaum, Mustafa Serkan Isik, Leandro Parente, Yu-Feng Ho, Rolf Simoes, Surya Gupta, Alessandro Samuel-Rosa, Taciara Zborowski Horst, José Lucas Safanelli, and Nancy Harris
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-336, https://doi.org/10.5194/essd-2025-336, 2025
Preprint under review for ESSD
Short summary
Short summary
We used satellite data and thousands of soil samples to create detailed global maps showing how soil changes over time. These maps reveal important patterns in soil health, such as a significant global loss of soil carbon in the past 25 years. Our results help track land degradation and support better land restoration efforts. This work provides a new global tool for understanding and protecting soil, a key resource for food, water, and climate.
Gerald Dicen, Floriane Guillevic, Surya Gupta, Pierre-Alexis Chaboche, Katrin Meusburger, Pierre Sabatier, Olivier Evrard, and Christine Alewell
Earth Syst. Sci. Data, 17, 1529–1549, https://doi.org/10.5194/essd-17-1529-2025, https://doi.org/10.5194/essd-17-1529-2025, 2025
Short summary
Short summary
Fallout radionuclides (FRNs) such as 137Cs and 239+240Pu are considered to be critical tools in various environmental research. Here, we compiled reference soil data on these FRNs from the literature to build a comprehensive database. Using this database, we determined the distribution and sources of 137Cs and 239+240Pu. We also demonstrated how the database can be used to identify the environmental factors that influence their distribution using a machine learning algorithm.
Amelie Fees, Michael Lombardo, Alec van Herwijnen, Peter Lehmann, and Jürg Schweizer
The Cryosphere, 19, 1453–1468, https://doi.org/10.5194/tc-19-1453-2025, https://doi.org/10.5194/tc-19-1453-2025, 2025
Short summary
Short summary
Glide-snow avalanches release at the soil–snow interface due to a loss of friction, which is suspected to be linked to interfacial water. The importance of the interfacial water was investigated with a spatio-temporal monitoring setup for soil and local snow on an avalanche-prone slope. Seven glide-snow avalanches were released on the monitoring grid (winter seasons 2021/22 to 2023/24) and provided insights into the source, quantity, and spatial distribution of interfacial water before avalanche release.
Xuemeng Tian, Davide Consoli, Martijn Witjes, Florian Schneider, Leandro Parente, Murat Şahin, Yu-Feng Ho, Robert Minařík, and Tomislav Hengl
Earth Syst. Sci. Data, 17, 741–772, https://doi.org/10.5194/essd-17-741-2025, https://doi.org/10.5194/essd-17-741-2025, 2025
Short summary
Short summary
Our study introduces a Landsat-based data cube simplifying access to detailed environmental data across Europe from 2000 to 2022, covering vegetation, water, soil, and crops. Our experiments demonstrate its effectiveness in developing environmental models and maps. Tailored feature selection is crucial for its effective use in environmental modeling. It aims to support comprehensive environmental monitoring and analysis, helping researchers and policy-makers in managing environmental resources.
Michael Lombardo, Amelie Fees, Anders Kaestner, Alec van Herwijnen, Jürg Schweizer, and Peter Lehmann
EGUsphere, https://doi.org/10.5194/egusphere-2025-304, https://doi.org/10.5194/egusphere-2025-304, 2025
Short summary
Short summary
Water flow in snow is important for many applications including snow hydrology and avalanche forecasting. This work investigated the role of capillary forces at the soil-snow interface during capillary rise experiments using neutron radiography. The results showed that the properties of both the snow and the transitional layer below the snow affected the water flow. This work will allow for better representations of water flow across the soil-snow interface in snowpack models.
Amelie Fees, Alec van Herwijnen, Michael Lombardo, Jürg Schweizer, and Peter Lehmann
Nat. Hazards Earth Syst. Sci., 24, 3387–3400, https://doi.org/10.5194/nhess-24-3387-2024, https://doi.org/10.5194/nhess-24-3387-2024, 2024
Short summary
Short summary
Glide-snow avalanches release at the ground–snow interface, and their release process is poorly understood. To investigate the influence of spatial variability (snowpack and basal friction) on avalanche release, we developed a 3D, mechanical, threshold-based model that reproduces an observed release area distribution. A sensitivity analysis showed that the distribution was mostly influenced by the basal friction uniformity, while the variations in snowpack properties had little influence.
Nedal Aqel, Lea Reusser, Stephan Margreth, Andrea Carminati, and Peter Lehmann
Geosci. Model Dev., 17, 6949–6966, https://doi.org/10.5194/gmd-17-6949-2024, https://doi.org/10.5194/gmd-17-6949-2024, 2024
Short summary
Short summary
The soil water potential (SWP) determines various soil water processes. Since remote sensing techniques cannot measure it directly, it is often deduced from volumetric water content (VWC) information. However, under dynamic field conditions, the relationship between SWP and VWC is highly ambiguous due to different factors that cannot be modeled with the classical approach. Applying a deep neural network with an autoencoder enables the prediction of the dynamic SWP.
Tobias Karl David Weber, Lutz Weihermüller, Attila Nemes, Michel Bechtold, Aurore Degré, Efstathios Diamantopoulos, Simone Fatichi, Vilim Filipović, Surya Gupta, Tobias L. Hohenbrink, Daniel R. Hirmas, Conrad Jackisch, Quirijn de Jong van Lier, John Koestel, Peter Lehmann, Toby R. Marthews, Budiman Minasny, Holger Pagel, Martine van der Ploeg, Shahab Aldin Shojaeezadeh, Simon Fiil Svane, Brigitta Szabó, Harry Vereecken, Anne Verhoef, Michael Young, Yijian Zeng, Yonggen Zhang, and Sara Bonetti
Hydrol. Earth Syst. Sci., 28, 3391–3433, https://doi.org/10.5194/hess-28-3391-2024, https://doi.org/10.5194/hess-28-3391-2024, 2024
Short summary
Short summary
Pedotransfer functions (PTFs) are used to predict parameters of models describing the hydraulic properties of soils. The appropriateness of these predictions critically relies on the nature of the datasets for training the PTFs and the physical comprehensiveness of the models. This roadmap paper is addressed to PTF developers and users and critically reflects the utility and future of PTFs. To this end, we present a manifesto aiming at a paradigm shift in PTF research.
Gina Garland, John Koestel, Alice Johannes, Olivier Heller, Sebastian Doetterl, Dani Or, and Thomas Keller
SOIL, 10, 23–31, https://doi.org/10.5194/soil-10-23-2024, https://doi.org/10.5194/soil-10-23-2024, 2024
Short summary
Short summary
The concept of soil aggregates is hotly debated, leading to confusion about their function or relevancy to soil processes. We propose that the use of conceptual figures showing detached and isolated aggregates can be misleading and has contributed to this skepticism. Here, we conceptually illustrate how aggregates can form and dissipate within the context of undisturbed soils, highlighting the fact that aggregates do not necessarily need to have distinct physical boundaries.
Adrian Wicki, Peter Lehmann, Christian Hauck, and Manfred Stähli
Nat. Hazards Earth Syst. Sci., 23, 1059–1077, https://doi.org/10.5194/nhess-23-1059-2023, https://doi.org/10.5194/nhess-23-1059-2023, 2023
Short summary
Short summary
Soil wetness measurements are used for shallow landslide prediction; however, existing sites are often located in flat terrain. Here, we assessed the ability of monitoring sites at flat locations to detect critically saturated conditions compared to if they were situated at a landslide-prone location. We found that differences exist but that both sites could equally well distinguish critical from non-critical conditions for shallow landslide triggering if relative changes are considered.
Adrian Wicki, Per-Erik Jansson, Peter Lehmann, Christian Hauck, and Manfred Stähli
Hydrol. Earth Syst. Sci., 25, 4585–4610, https://doi.org/10.5194/hess-25-4585-2021, https://doi.org/10.5194/hess-25-4585-2021, 2021
Short summary
Short summary
Soil moisture information was shown to be valuable for landslide prediction. Soil moisture was simulated at 133 sites in Switzerland, and the temporal variability was compared to the regional occurrence of landslides. We found that simulated soil moisture is a good predictor for landslides, and that the forecast goodness is similar to using in situ measurements. This encourages the use of models for complementing existing soil moisture monitoring networks for regional landslide early warning.
Mengyuan Mu, Martin G. De Kauwe, Anna M. Ukkola, Andy J. Pitman, Teresa E. Gimeno, Belinda E. Medlyn, Dani Or, Jinyan Yang, and David S. Ellsworth
Hydrol. Earth Syst. Sci., 25, 447–471, https://doi.org/10.5194/hess-25-447-2021, https://doi.org/10.5194/hess-25-447-2021, 2021
Short summary
Short summary
Land surface model (LSM) is a critical tool to study land responses to droughts and heatwaves, but lacking comprehensive observations limited past model evaluations. Here we use a novel dataset at a water-limited site, evaluate a typical LSM with a range of competing model hypotheses widely used in LSMs and identify marked uncertainty due to the differing process assumptions. We show the extensive observations constrain model processes and allow better simulated land responses to these extremes.
Milad Aminzadeh, Peter Lehmann, and Dani Or
Hydrol. Earth Syst. Sci., 22, 4015–4032, https://doi.org/10.5194/hess-22-4015-2018, https://doi.org/10.5194/hess-22-4015-2018, 2018
Short summary
Short summary
Significant evaporative losses from local water reservoirs in arid regions exacerbate water shortages during dry spells. We propose a systematic approach for modeling energy balance and fluxes from covered water bodies using self-assembling floating elements, considering cover properties and local conditions. The study will provide a scientific and generalized basis for designing and implementing this important water conservation strategy to assist with its adaptation in various arid regions.
Minsu Kim and Dani Or
Biogeosciences, 14, 5403–5424, https://doi.org/10.5194/bg-14-5403-2017, https://doi.org/10.5194/bg-14-5403-2017, 2017
Short summary
Short summary
We report a mechanistic model for linking biophysical and chemical processes in Cyanobacterial crusts comprised of trophically interacting photoautotrophs, aerobic and anaerobic heterotrophs, and nitrifiers. The biocrust model captures salient aspects of microbial activity and community organisation in response to diurnal cycles of light and temperature. The framework offers new mechanistic insights into a host of highly dynamic and spatially resolved processes shaping biogeochemical fluxes.
Stanislaus J. Schymanski, Daniel Breitenstein, and Dani Or
Hydrol. Earth Syst. Sci., 21, 3377–3400, https://doi.org/10.5194/hess-21-3377-2017, https://doi.org/10.5194/hess-21-3377-2017, 2017
Short summary
Short summary
Leaf transpiration and energy exchange are coupled processes at the small scale that have strong effects on the water cycle and climate at the large scale. In this technical note, we present a novel experimental set-up that enables detailed study of these coupled processes in the laboratory under controlled conditions. Results document the abilities of the experimental set-up to confirm or challenge our understanding of these processes.
Stanislaus J. Schymanski and Dani Or
Hydrol. Earth Syst. Sci., 21, 685–706, https://doi.org/10.5194/hess-21-685-2017, https://doi.org/10.5194/hess-21-685-2017, 2017
Short summary
Short summary
Most of the rain falling on land is returned to the atmosphere by plant leaves, which release water vapour (transpire) through tiny pores. To better understand this process, we used artificial leaves in a special wind tunnel and discovered major problems with an established approach (PM equation) widely used to quantify transpiration and its sensitivity to climate change. We present an improved set of equations, consistent with experiments and displaying more realistic climate sensitivity.
Niels H. Batjes, Eloi Ribeiro, Ad van Oostrum, Johan Leenaars, Tom Hengl, and Jorge Mendes de Jesus
Earth Syst. Sci. Data, 9, 1–14, https://doi.org/10.5194/essd-9-1-2017, https://doi.org/10.5194/essd-9-1-2017, 2017
Short summary
Short summary
Soil is an important provider of ecosystem services. Yet this natural resource is being threatened. Professionals, scientists, and decision makers require quality-assessed soil data to address issues such as food security, land degradation, and climate change. Procedures for safeguarding, standardising, and subsequently serving of consistent soil data to underpin broad-scale mapping and modelling are described. The data are freely accessible at doi:10.17027/isric-wdcsoils.20160003.
S. J. Schymanski and D. Or
Proc. IAHS, 371, 99–107, https://doi.org/10.5194/piahs-371-99-2015, https://doi.org/10.5194/piahs-371-99-2015, 2015
Short summary
Short summary
The common use of "potential evaporation" to estimate actual evapotranspiration or to describe the suitability of a given climate for plant growth may lead to wrong conclusions about the consequences of climate change on plant growth and water relations. Wind speed in particular can have opposite effects on potential evaporation and transpiration from plant leaves. Therefore, we recommend to avoid using the concept of potential evaporation in relation to plants and transpiration from leaves.
M. Stähli, M. Sättele, C. Huggel, B. W. McArdell, P. Lehmann, A. Van Herwijnen, A. Berne, M. Schleiss, A. Ferrari, A. Kos, D. Or, and S. M. Springman
Nat. Hazards Earth Syst. Sci., 15, 905–917, https://doi.org/10.5194/nhess-15-905-2015, https://doi.org/10.5194/nhess-15-905-2015, 2015
Short summary
Short summary
This review paper describes the state of the art in monitoring and predicting rapid mass movements for early warning. It further presents recent innovations in observation technologies and modelling to be used in future early warning systems (EWS). Finally, the paper proposes avenues towards successful implementation of next-generation EWS.
Related subject area
Hydrology
Transformation rate maps of dissolved organic carbon in the contiguous US
A 1985–2023 time series dataset of absolute reservoir storage in Mainland Southeast Asia (MSEA-Res)
Machine-learning-based reconstruction of long-term global terrestrial water storage anomalies from observed, satellite and land-surface model data
Mapping the world's inland surface waters: an upgrade to the Global Lakes and Wetlands Database (GLWD v2)
One year of high-frequency monitoring of groundwater physico-chemical parameters in the Weierbach experimental catchment, Luxembourg
Discrete global grid system-based flow routing datasets in the Amazon and Yukon basins
GRILSS: opening the gateway to global reservoir sedimentation data curation
A worldwide event-based debris flow barrier dam dataset from 1800 to 2023
CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations
An in situ daily dataset for benchmarking temporal variability of groundwater recharge
CAMELS-FR dataset: a large-sample hydroclimatic dataset for France to explore hydrological diversity and support model benchmarking
Features of Italian large dams and their upstream catchments
Gridded rainfall erosivity (2014–2022) in mainland China using 1 min precipitation data from densely distributed weather stations
OLIGOTREND, towards a global database of multi-decadal chlorophyll-a and water quality timeseries for rivers, lakes and estuaries
High-resolution hydrometeorological and snow data for the Dischma catchment in Switzerland
A 3-hour, 1-km surface soil moisture dataset for the contiguous United States from 2015 to 2023
CAMELS-IND: hydrometeorological time series and catchment attributes for 228 catchments in Peninsular India
LakeBeD-US: a benchmark dataset for lake water quality time series and vertical profiles
HERA: a high-resolution pan-European hydrological reanalysis (1951–2020)
BCUB – a large-sample ungauged basin attribute dataset for British Columbia, Canada
Comprehensive inventory of large hydropower systems in the Italian Alpine Region
Northern Hemisphere in situ snow water equivalent dataset (NorSWE, 1979–2021)
ESA CCI Soil Moisture GAPFILLED: An independent global gap-free satellite climate data record with uncertainty estimates
Lena River biogeochemistry captured by a 4.5-year high-frequency sampling program
CAMELS-DE: hydro-meteorological time series and attributes for 1582 catchments in Germany
Observational partitioning of water and CO2 fluxes at National Ecological Observatory Network (NEON) sites: a 5-year dataset of soil and plant components for spatial and temporal analysis
An integrated high-resolution bathymetric model for the Danube Delta system
A benchmark dataset for global evapotranspiration estimation based on FLUXNET2015 from 2000 to 2022
Benchmark dataset for hydraulic simulations of flash floods in the French Mediterranean region
GRDC-Caravan: extending Caravan with data from the Global Runoff Data Centre
CIrrMap250: annual maps of China's irrigated cropland from 2000 to 2020 developed through multisource data integration
HANZE v2.1: an improved database of flood impacts in Europe from 1870 to 2020
A Copernicus-based evapotranspiration dataset at 100 m spatial resolution over four Mediterranean basins
Gridded dataset of nitrogen and phosphorus point sources from wastewater in Germany (1950–2019)
A globally sampled high-resolution hand-labeled validation dataset for evaluating surface water extent maps
Satellite-based near-real-time global daily terrestrial evapotranspiration estimates
Multivariate characterisation of a blackberry–alder agroforestry system in South Africa: hydrological, pedological, dendrological and meteorological measurements
CAMELS-AUS v2: updated hydrometeorological timeseries and landscape attributes for an enlarged set of catchments in Australia
SHIFT: a spatial-heterogeneity improvement in DEM-based mapping of global geomorphic floodplains
First comprehensive stable isotope dataset of diverse water units in a permafrost-dominated catchment on the Qinghai–Tibet Plateau
LamaH-Ice: LArge-SaMple DAta for Hydrology and Environmental Sciences for Iceland
High-resolution mapping of monthly industrial water withdrawal in China from 1965 to 2020
Evapotranspiration evaluation using three different protocols on a large green roof in the greater Paris area
Simbi: historical hydro-meteorological time series and signatures for 24 catchments in Haiti
CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data
A hydrogeomorphic dataset for characterizing catchment hydrological behavior across the Tibetan Plateau
A synthesis of Global Streamflow Characteristics, Hydrometeorology, and Catchment Attributes (GSHA) for large sample river-centric studies
FOCA: a new quality-controlled database of floods and catchment descriptors in Italy
Dams in the Mekong: a comprehensive database, spatiotemporal distribution, and hydropower potentials
A global dataset of the shape of drainage systems
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, 17, 2713–2733, https://doi.org/10.5194/essd-17-2713-2025, https://doi.org/10.5194/essd-17-2713-2025, 2025
Short summary
Short summary
We have developed new maps that reveal 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 2500 gauges and a wealth of climate and environmental information. The maps are a critical step in understanding and predicting how carbon moves through our environment, hence making them a useful tool for tackling climate challenges.
Shanti Shwarup Mahto, Simone Fatichi, and Stefano Galelli
Earth Syst. Sci. Data, 17, 2693–2712, https://doi.org/10.5194/essd-17-2693-2025, https://doi.org/10.5194/essd-17-2693-2025, 2025
Short summary
Short summary
The MSEA-Res database offers an open-access dataset tracking absolute water storage for 186 large reservoirs across Mainland Southeast Asia from 1985 to 2023. It provides valuable insights into how reservoir storage grew 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.
Nehar Mandal, Prabal Das, and Kironmala Chanda
Earth Syst. Sci. Data, 17, 2575–2604, https://doi.org/10.5194/essd-17-2575-2025, https://doi.org/10.5194/essd-17-2575-2025, 2025
Short summary
Short summary
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 (TWSAs). TWSAs are reconstructed (BNML_TWSA) with grid-specific leader models (among four machine learning models) from January 1960 to December 2022 to generate a continuous global gridded dataset. The uncertainty in the reconstructed BNML_TWSA product is also assessed in terms of standard error.
Bernhard Lehner, Mira Anand, Etienne Fluet-Chouinard, Florence Tan, Filipe Aires, George H. Allen, Philippe Bousquet, Josep G. Canadell, Nick Davidson, Meng Ding, C. Max Finlayson, Thomas Gumbricht, Lammert Hilarides, Gustaf Hugelius, Robert B. Jackson, Maartje C. Korver, Liangyun Liu, Peter B. McIntyre, Szabolcs Nagy, David Olefeldt, Tamlin M. Pavelsky, Jean-Francois Pekel, Benjamin Poulter, Catherine Prigent, Jida Wang, Thomas A. Worthington, Dai Yamazaki, Xiao Zhang, and Michele Thieme
Earth Syst. Sci. Data, 17, 2277–2329, https://doi.org/10.5194/essd-17-2277-2025, https://doi.org/10.5194/essd-17-2277-2025, 2025
Short summary
Short summary
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 × 106 km2, equivalent to 13.4 % of total global land area.
Karl Nicolaus van Zweel, Laurent Gourdol, Jean François Iffly, Loïc Léonard, François Barnich, Laurent Pfister, Erwin Zehe, and Christophe Hissler
Earth Syst. Sci. Data, 17, 2217–2229, https://doi.org/10.5194/essd-17-2217-2025, https://doi.org/10.5194/essd-17-2217-2025, 2025
Short summary
Short summary
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. These data help predict environmental responses and manage water resources better. By measuring key parameters like pH and dissolved oxygen, our research provides valuable insights into groundwater behaviour and serves as a resource for future environmental studies.
Chang Liao, Darren Engwirda, Matthew G. Cooper, Mingke Li, and Yilin Fang
Earth Syst. Sci. Data, 17, 2035–2062, https://doi.org/10.5194/essd-17-2035-2025, https://doi.org/10.5194/essd-17-2035-2025, 2025
Short summary
Short summary
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 and Yukon basins, which play important roles in our planet's climate. These datasets may help us improve our water cycle models.
Sanchit Minocha and Faisal Hossain
Earth Syst. Sci. Data, 17, 1743–1759, https://doi.org/10.5194/essd-17-1743-2025, https://doi.org/10.5194/essd-17-1743-2025, 2025
Short summary
Short summary
Trustworthy and independently verifiable information on declining storage capacity or sedimentation rates worldwide is sparse and suffers from inconsistent metadata and curation to allow global-scale archiving and analyses. The Global Reservoir Inventory of Lost Storage by Sedimentation (GRILSS) dataset addresses this challenge by providing organized, well-curated, and open-source data on sedimentation rates and capacity loss for 1013 reservoirs in 75 major river basins across 54 countries.
Haiguang Cheng, Kaiheng Hu, Shuang Liu, Xiaopeng Zhang, Hao Li, Qiyuan Zhang, Lan Ning, Manish Raj Gouli, Pu Li, Anna Yang, Peng Zhao, Junyu Liu, and Li Wei
Earth Syst. Sci. Data, 17, 1573–1593, https://doi.org/10.5194/essd-17-1573-2025, https://doi.org/10.5194/essd-17-1573-2025, 2025
Short summary
Short summary
After reviewing 2519 literature and media reports, we compiled the first comprehensive global dataset of 555 debris flow barrier dams (DFBDs) from 1800 to 2023. Our dataset meticulously documents 38 attributes of DFBDs, and we have utilized Google Earth for validation. Additionally, we discussed the applicability of landslide dam stability and peak-discharge models to DFBDs. This dataset offers a rich foundation of data for future studies on DFBDs.
Jun Liu, Julian Koch, Simon Stisen, Lars Troldborg, Anker Lajer Højberg, Hans Thodsen, Mark F. T. Hansen, and Raphael J. M. Schneider
Earth Syst. Sci. Data, 17, 1551–1572, https://doi.org/10.5194/essd-17-1551-2025, https://doi.org/10.5194/essd-17-1551-2025, 2025
Short summary
Short summary
We developed a CAMELS-style dataset in Denmark, which contains hydrometeorological time series and landscape attributes for 3330 catchments (304 gauged). Many catchments in CAMELS-DK are small and at low elevations. The dataset provides information on groundwater characteristics and dynamics, as well as quantities related to the human impact on the hydrological system in Denmark. The dataset is especially relevant for developing data-driven and hybrid physically informed modeling frameworks.
Pragnaditya Malakar, Aatish Anshuman, Mukesh Kumar, Georgios Boumis, T. Prabhakar Clement, Arik Tashie, Hitesh Thakur, Nagaraj Bhat, and Lokendra Rathore
Earth Syst. Sci. Data, 17, 1515–1528, https://doi.org/10.5194/essd-17-1515-2025, https://doi.org/10.5194/essd-17-1515-2025, 2025
Short summary
Short summary
Groundwater dynamics depend on groundwater recharge, but daily benchmark data of recharge are scarce. Here we present a daily groundwater recharge per unit specified yield (RpSy) data at 485 US groundwater monitoring wells. RpSy can be used to validate the temporal consistency of recharge products from land surface and hydrologic models and facilitate assessment of recharge-driver functional relationships in them.
Olivier Delaigue, Guilherme Mendoza Guimarães, Pierre Brigode, Benoît Génot, Charles Perrin, Jean-Michel Soubeyroux, Bruno Janet, Nans Addor, and Vazken Andréassian
Earth Syst. Sci. Data, 17, 1461–1479, https://doi.org/10.5194/essd-17-1461-2025, https://doi.org/10.5194/essd-17-1461-2025, 2025
Short summary
Short summary
This dataset covers 654 rivers all flowing in France. The provided time series and catchment attributes will be of interest to those modelers wishing to analyze hydrological behavior and perform model assessments.
Giulia Evangelista, Paola Mazzoglio, Daniele Ganora, Francesca Pianigiani, and Pierluigi Claps
Earth Syst. Sci. Data, 17, 1407–1426, https://doi.org/10.5194/essd-17-1407-2025, https://doi.org/10.5194/essd-17-1407-2025, 2025
Short summary
Short summary
This paper presents the first comprehensive dataset of 528 large dams in Italy. It contains structural characteristics of the dams, such as coordinates, reservoir surface areas and volumes, together with a range of geomorphological, climatological, extreme rainfall, land cover and soil-related attributes of their upstream catchments.
Yueli Chen, Yun Xie, Xingwu Duan, and Minghu Ding
Earth Syst. Sci. Data, 17, 1265–1274, https://doi.org/10.5194/essd-17-1265-2025, https://doi.org/10.5194/essd-17-1265-2025, 2025
Short summary
Short summary
Rainfall erosivity maps are crucial for identifying key areas of water erosion. Due to the limited historical precipitation data, there are certain biases in rainfall erosivity estimates in China. This study develops a new rainfall erosivity map for mainland China using 1 min precipitation data from 60 129 weather stations, revealing that areas exceeding 4000 MJ mm ha−1 h−1yr−1 of annual rainfall erosivity are mainly concentrated in southern China and on the southern Tibetan Plateau.
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
Revised manuscript accepted for ESSD
Short summary
Short summary
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.
Jan Magnusson, Yves Bühler, Louis Quéno, Bertrand Cluzet, Giulia Mazzotti, Clare Webster, Rebecca Mott, and Tobias Jonas
Earth Syst. Sci. Data, 17, 703–717, https://doi.org/10.5194/essd-17-703-2025, https://doi.org/10.5194/essd-17-703-2025, 2025
Short summary
Short summary
In this study, we present a dataset for the Dischma catchment in eastern Switzerland, which represents a typical high-alpine watershed in the European Alps. Accurate monitoring and reliable forecasting of snow and water resources in such basins are crucial for a wide range of applications. Our dataset is valuable for improving physics-based snow, land surface, and hydrological models, with potential applications in similar high-alpine catchments.
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
Short summary
Short summary
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.
Nikunj K. Mangukiya, Kanneganti Bhargav Kumar, Pankaj Dey, Shailza Sharma, Vijaykumar Bejagam, Pradeep P. Mujumdar, and Ashutosh Sharma
Earth Syst. Sci. Data, 17, 461–491, https://doi.org/10.5194/essd-17-461-2025, https://doi.org/10.5194/essd-17-461-2025, 2025
Short summary
Short summary
We introduce CAMELS-IND (Catchment Attributes and MEteorology for Large-sample Studies – India), which provides daily hydrometeorological time series and static catchment attributes representing the location, topography, climate, hydrological signatures, land use, land cover, soil, geology, and anthropogenic influences for 472 catchments in Peninsular India to foster large-sample hydrological studies in India and promote the inclusion of Indian catchments in global hydrological research.
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
Short summary
Short summary
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.
Aloïs Tilloy, Dominik Paprotny, Stefania Grimaldi, Goncalo Gomes, Alessandra Bianchi, Stefan Lange, Hylke Beck, Cinzia Mazzetti, and Luc Feyen
Earth Syst. Sci. Data, 17, 293–316, https://doi.org/10.5194/essd-17-293-2025, https://doi.org/10.5194/essd-17-293-2025, 2025
Short summary
Short summary
This article presents a reanalysis of Europe's river streamflow for the period 1951–2020. Streamflow is estimated through a state-of-the-art hydrological simulation framework benefitting from detailed information about the landscape, climate, and human activities. The resulting Hydrological European ReAnalysis (HERA) can be a valuable tool for studying hydrological dynamics, including the impacts of climate change and human activities on European water resources and flood and drought risks.
Daniel Kovacek and Steven Weijs
Earth Syst. Sci. Data, 17, 259–275, https://doi.org/10.5194/essd-17-259-2025, https://doi.org/10.5194/essd-17-259-2025, 2025
Short summary
Short summary
We made a dataset for British Columbia describing the terrain, soil, land cover, and climate of over 1 million watersheds. The attributes are often used in hydrology because they are related to the water cycle. The data are meant to be used for water resources problems that can benefit from lots of watersheds and their attributes. The data and instructions needed to build the dataset from scratch are freely available. The permanent home for the data is https://doi.org/10.5683/SP3/JNKZVT.
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
Short summary
Short summary
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.
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 accepted for ESSD
Short summary
Short summary
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.
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 accepted for ESSD
Short summary
Short summary
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.
Bennet Juhls, Anne Morgenstern, Jens Hölemann, Antje Eulenburg, Birgit Heim, Frederieke Miesner, Hendrik Grotheer, Gesine Mollenhauer, Hanno Meyer, Ephraim Erkens, Felica Yara Gehde, Sofia Antonova, Sergey Chalov, Maria Tereshina, Oxana Erina, Evgeniya Fingert, Ekaterina Abramova, Tina Sanders, Liudmila Lebedeva, Nikolai Torgovkin, Georgii Maksimov, Vasily Povazhnyi, Rafael Gonçalves-Araujo, Urban Wünsch, Antonina Chetverova, Sophie Opfergelt, and Pier Paul Overduin
Earth Syst. Sci. Data, 17, 1–28, https://doi.org/10.5194/essd-17-1-2025, https://doi.org/10.5194/essd-17-1-2025, 2025
Short summary
Short summary
The Siberian Arctic is warming fast: permafrost is thawing, river chemistry is changing, and coastal ecosystems are affected. We aimed to understand changes in the Lena River, a major Arctic river flowing to the Arctic Ocean, by collecting 4.5 years of detailed water data, including temperature and carbon and nutrient contents. This dataset records current conditions and helps us to detect future changes. Explore it at https://doi.org/10.1594/PANGAEA.913197 and https://lena-monitoring.awi.de/.
Ralf Loritz, Alexander Dolich, Eduardo Acuña Espinoza, Pia Ebeling, Björn Guse, Jonas Götte, Sibylle K. Hassler, Corina Hauffe, Ingo Heidbüchel, Jens Kiesel, Mirko Mälicke, Hannes Müller-Thomy, Michael Stölzle, and Larisa Tarasova
Earth Syst. Sci. Data, 16, 5625–5642, https://doi.org/10.5194/essd-16-5625-2024, https://doi.org/10.5194/essd-16-5625-2024, 2024
Short summary
Short summary
The CAMELS-DE dataset features data from 1582 streamflow gauges across Germany, with records spanning from 1951 to 2020. This comprehensive dataset, which includes time series of up to 70 years (median 46 years), enables advanced research on water flow and environmental trends and supports the development of hydrological models.
Einara Zahn and Elie Bou-Zeid
Earth Syst. Sci. Data, 16, 5603–5624, https://doi.org/10.5194/essd-16-5603-2024, https://doi.org/10.5194/essd-16-5603-2024, 2024
Short summary
Short summary
Quantifying water and CO2 exchanges through transpiration, evaporation, net photosynthesis, and soil respiration is essential for understanding how ecosystems function. We implemented five methods to estimate these fluxes over a 5-year period across 47 sites. This is the first dataset representing such large spatial and temporal coverage of soil and plant exchanges, and it has many potential applications, such as examining the response of ecosystems to weather extremes and climate change.
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
Short summary
Short summary
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.
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 accepted for ESSD
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Revised manuscript accepted for ESSD
Short summary
Short summary
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.
Ling Zhang, Yanhua Xie, Xiufang Zhu, Qimin Ma, and Luca Brocca
Earth Syst. Sci. Data, 16, 5207–5226, https://doi.org/10.5194/essd-16-5207-2024, https://doi.org/10.5194/essd-16-5207-2024, 2024
Short summary
Short summary
This study presented new annual maps of irrigated cropland in China from 2000 to 2020 (CIrrMap250). These maps were developed by integrating remote sensing data, irrigation statistics and surveys, and an irrigation suitability map. CIrrMap250 achieved high accuracy and outperformed currently available products. The new irrigation maps revealed a clear expansion of China’s irrigation area, with the majority (61%) occurring in the water-unsustainable regions facing severe to extreme water stress.
Dominik Paprotny, Paweł Terefenko, and Jakub Śledziowski
Earth Syst. Sci. Data, 16, 5145–5170, https://doi.org/10.5194/essd-16-5145-2024, https://doi.org/10.5194/essd-16-5145-2024, 2024
Short summary
Short summary
Knowledge about past natural disasters can help adaptation to their future occurrences. Here, we present a dataset of 2521 riverine, pluvial, coastal, and compound floods that have occurred in 42 European countries between 1870 and 2020. The dataset contains available information on the inundated area, fatalities, persons affected, or economic loss and was obtained by extensive data collection from more than 800 sources ranging from news reports through government databases to scientific papers.
Paulina Bartkowiak, Bartolomeo Ventura, Alexander Jacob, and Mariapina Castelli
Earth Syst. Sci. Data, 16, 4709–4734, https://doi.org/10.5194/essd-16-4709-2024, https://doi.org/10.5194/essd-16-4709-2024, 2024
Short summary
Short summary
This paper presents the Two-Source Energy Balance evapotranspiration (ET) product driven by Copernicus Sentinel-2 and Sentinel-3 imagery together with ERA5 climate reanalysis data. Daily ET maps are available at 100 m spatial resolution for the period 2017–2021 across four Mediterranean basins: Ebro (Spain), Hérault (France), Medjerda (Tunisia), and Po (Italy). The product is highly beneficial for supporting vegetation monitoring and sustainable water management at the river basin scale.
Fanny J. Sarrazin, Sabine Attinger, and Rohini Kumar
Earth Syst. Sci. Data, 16, 4673–4708, https://doi.org/10.5194/essd-16-4673-2024, https://doi.org/10.5194/essd-16-4673-2024, 2024
Short summary
Short summary
Nitrogen (N) and phosphorus (P) contamination of water bodies is a long-term issue due to the long history of N and P inputs to the environment and their persistence. Here, we introduce a long-term and high-resolution dataset of N and P inputs from wastewater (point sources) for Germany, combining data from different sources and conceptual understanding. We also account for uncertainties in modelling choices, thus facilitating robust long-term and large-scale water quality studies.
Rohit Mukherjee, Frederick Policelli, Ruixue Wang, Elise Arellano-Thompson, Beth Tellman, Prashanti Sharma, Zhijie Zhang, and Jonathan Giezendanner
Earth Syst. Sci. Data, 16, 4311–4323, https://doi.org/10.5194/essd-16-4311-2024, https://doi.org/10.5194/essd-16-4311-2024, 2024
Short summary
Short summary
Global water resource monitoring is crucial due to climate change and population growth. This study presents a hand-labeled dataset of 100 PlanetScope images for surface water detection, spanning diverse biomes. We use this dataset to evaluate two state-of-the-art mapping methods. Results highlight performance variations across biomes, emphasizing the need for diverse, independent validation datasets to enhance the accuracy and reliability of satellite-based surface water monitoring techniques.
Lei Huang, Yong Luo, Jing M. Chen, Qiuhong Tang, Tammo Steenhuis, Wei Cheng, and Wen Shi
Earth Syst. Sci. Data, 16, 3993–4019, https://doi.org/10.5194/essd-16-3993-2024, https://doi.org/10.5194/essd-16-3993-2024, 2024
Short summary
Short summary
Timely global terrestrial evapotranspiration (ET) data are crucial for water resource management and drought forecasting. This study introduces the VISEA algorithm, which integrates satellite data and shortwave radiation to provide daily 0.05° gridded near-real-time ET estimates. By employing a vegetation index–temperature method, this algorithm can estimate ET without requiring additional data. Evaluation results demonstrate VISEA's comparable accuracy with accelerated data availability.
Sibylle Kathrin Hassler, Rafael Bohn Reckziegel, Ben du Toit, Svenja Hoffmeister, Florian Kestel, Anton Kunneke, Rebekka Maier, and Jonathan Paul Sheppard
Earth Syst. Sci. Data, 16, 3935–3948, https://doi.org/10.5194/essd-16-3935-2024, https://doi.org/10.5194/essd-16-3935-2024, 2024
Short summary
Short summary
Agroforestry systems (AFSs) combine trees and crops within the same land unit, providing a sustainable land use option which protects natural resources and biodiversity. Introducing trees into agricultural systems can positively affect water resources, soil characteristics, biomass and microclimate. We studied an AFS in South Africa in a multidisciplinary approach to assess the different influences and present the resulting dataset consisting of water, soil, tree and meteorological variables.
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
Short summary
Short summary
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.
Kaihao Zheng, Peirong Lin, and Ziyun Yin
Earth Syst. Sci. Data, 16, 3873–3891, https://doi.org/10.5194/essd-16-3873-2024, https://doi.org/10.5194/essd-16-3873-2024, 2024
Short summary
Short summary
We develop a globally applicable thresholding scheme for DEM-based floodplain delineation to improve the representation of spatial heterogeneity. It involves a stepwise approach to estimate the basin-level floodplain hydraulic geometry parameters that best respect the scaling law while approximating the global hydrodynamic flood maps. A ~90 m resolution global floodplain map, the Spatial Heterogeneity Improved Floodplain by Terrain analysis (SHIFT), is delineated with demonstrated superiority.
Yuzhong Yang, Qingbai Wu, Xiaoyan Guo, Lu Zhou, Helin Yao, Dandan Zhang, Zhongqiong Zhang, Ji Chen, and Guojun Liu
Earth Syst. Sci. Data, 16, 3755–3770, https://doi.org/10.5194/essd-16-3755-2024, https://doi.org/10.5194/essd-16-3755-2024, 2024
Short summary
Short summary
We present the temporal data of stable isotopes in different waterbodies in the Beiluhe Basin in the hinterland of the Qinghai–Tibet Plateau (QTP) produced between 2017 and 2022. In this article, the first detailed stable isotope data of 359 ground ice samples are presented. This first data set provides a new basis for understanding the hydrological effects of permafrost degradation on the QTP.
Hordur Bragi Helgason and Bart Nijssen
Earth Syst. Sci. Data, 16, 2741–2771, https://doi.org/10.5194/essd-16-2741-2024, https://doi.org/10.5194/essd-16-2741-2024, 2024
Short summary
Short summary
LamaH-Ice is a large-sample hydrology (LSH) dataset for Iceland. The dataset includes daily and hourly hydro-meteorological time series, including observed streamflow and basin characteristics, for 107 basins. LamaH-Ice offers most variables that are included in existing LSH datasets and additional information relevant to cold-region hydrology such as annual time series of glacier extent and mass balance. A large majority of the basins in LamaH-Ice are unaffected by human activities.
Chengcheng Hou, Yan Li, Shan Sang, Xu Zhao, Yanxu Liu, Yinglu Liu, and Fang Zhao
Earth Syst. Sci. Data, 16, 2449–2464, https://doi.org/10.5194/essd-16-2449-2024, https://doi.org/10.5194/essd-16-2449-2024, 2024
Short summary
Short summary
To fill the gap in the gridded industrial water withdrawal (IWW) data in China, we developed the China Industrial Water Withdrawal (CIWW) dataset, which provides monthly IWWs from 1965 to 2020 at a spatial resolution of 0.1°/0.25° and auxiliary data including subsectoral IWW and industrial output value in 2008. This dataset can help understand the human water use dynamics and support studies in hydrology, geography, sustainability sciences, and water resource management and allocation in China.
Pierre-Antoine Versini, Leydy Alejandra Castellanos-Diaz, David Ramier, and Ioulia Tchiguirinskaia
Earth Syst. Sci. Data, 16, 2351–2366, https://doi.org/10.5194/essd-16-2351-2024, https://doi.org/10.5194/essd-16-2351-2024, 2024
Short summary
Short summary
Nature-based solutions (NBSs), such as green roofs, have appeared as relevant solutions to mitigate urban heat islands. The evapotranspiration (ET) process allows NBSs to cool the air. To improve our knowledge about ET assessment, this paper presents some experimental measurement campaigns carried out during three consecutive summers. Data are available for three different (large, small, and point-based) spatial scales.
Ralph Bathelemy, Pierre Brigode, Vazken Andréassian, Charles Perrin, Vincent Moron, Cédric Gaucherel, Emmanuel Tric, and Dominique Boisson
Earth Syst. Sci. Data, 16, 2073–2098, https://doi.org/10.5194/essd-16-2073-2024, https://doi.org/10.5194/essd-16-2073-2024, 2024
Short summary
Short summary
The aim of this work is to provide the first hydroclimatic database for Haiti, a Caribbean country particularly vulnerable to meteorological and hydrological hazards. The resulting database, named Simbi, provides hydroclimatic time series for around 150 stations and 24 catchment areas.
Changming Li, Ziwei Liu, Wencong Yang, Zhuoyi Tu, Juntai Han, Sien Li, and Hanbo Yang
Earth Syst. Sci. Data, 16, 1811–1846, https://doi.org/10.5194/essd-16-1811-2024, https://doi.org/10.5194/essd-16-1811-2024, 2024
Short summary
Short summary
Using a collocation-based approach, we developed a reliable global land evapotranspiration product (CAMELE) by merging multi-source datasets. The CAMELE product outperformed individual input datasets and showed satisfactory performance compared to reference data. It also demonstrated superiority for different plant functional types. Our study provides a promising solution for data fusion. The CAMELE dataset allows for detailed research and a better understanding of land–atmosphere interactions.
Yuhan Guo, Hongxing Zheng, Yuting Yang, Yanfang Sang, and Congcong Wen
Earth Syst. Sci. Data, 16, 1651–1665, https://doi.org/10.5194/essd-16-1651-2024, https://doi.org/10.5194/essd-16-1651-2024, 2024
Short summary
Short summary
We have provided an inaugural version of the hydrogeomorphic dataset for catchments over the Tibetan Plateau. We first provide the width-function-based instantaneous unit hydrograph (WFIUH) for each HydroBASINS catchment, which can be used to investigate the spatial heterogeneity of hydrological behavior across the Tibetan Plateau. It is expected to facilitate hydrological modeling across the Tibetan Plateau.
Ziyun Yin, Peirong Lin, Ryan Riggs, George H. Allen, Xiangyong Lei, Ziyan Zheng, and Siyu Cai
Earth Syst. Sci. Data, 16, 1559–1587, https://doi.org/10.5194/essd-16-1559-2024, https://doi.org/10.5194/essd-16-1559-2024, 2024
Short summary
Short summary
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.
Pierluigi Claps, Giulia Evangelista, Daniele Ganora, Paola Mazzoglio, and Irene Monforte
Earth Syst. Sci. Data, 16, 1503–1522, https://doi.org/10.5194/essd-16-1503-2024, https://doi.org/10.5194/essd-16-1503-2024, 2024
Short summary
Short summary
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.
Wei Jing Ang, Edward Park, Yadu Pokhrel, Dung Duc Tran, and Ho Huu Loc
Earth Syst. Sci. Data, 16, 1209–1228, https://doi.org/10.5194/essd-16-1209-2024, https://doi.org/10.5194/essd-16-1209-2024, 2024
Short summary
Short summary
Dams have burgeoned in the Mekong, but information on dams is scattered and inconsistent. Up-to-date evaluation of dams is unavailable, and basin-wide hydropower potential has yet to be systematically assessed. We present a comprehensive database of 1055 dams, a spatiotemporal analysis of the dams, and a total hydropower potential of 1 334 683 MW. Considering projected dam development and hydropower potential, the vulnerability and the need for better dam management may be highest in Laos.
Chuanqi He, Ci-Jian Yang, Jens M. Turowski, Richard F. Ott, Jean Braun, Hui Tang, Shadi Ghantous, Xiaoping Yuan, and Gaia Stucky de Quay
Earth Syst. Sci. Data, 16, 1151–1166, https://doi.org/10.5194/essd-16-1151-2024, https://doi.org/10.5194/essd-16-1151-2024, 2024
Short summary
Short summary
The shape of drainage basins and rivers holds significant implications for landscape evolution processes and dynamics. We used a global 90 m resolution topography to obtain ~0.7 million drainage basins with sizes over 50 km2. Our dataset contains the spatial distribution of drainage systems and their morphological parameters, supporting fields such as geomorphology, climatology, biology, ecology, hydrology, and natural hazards.
Cited articles
Abagandura, G. O., Nasr, G. E.-D. M., and Moumen, N. M.: Influence of tillage
practices on soil physical properties and growth and yield of maize in jabal
al akhdar, Libya, Open Journal of Soil Science, 7, 118–132, 2017. a
Abdi, H. and Williams, L. J.: Tukey's honestly significant difference (HSD)
test, Encyclopedia of research design, 3, 583–585, 2010. a
Amer, A.-M. M., Logsdon, S. D., and Davis, D.: Prediction of hydraulic
conductivity as related to pore size distribution in unsaturated soils, Soil
Sci., 174, 508–515, 2009. a
Amoozegar, A.: A compact constant-head permeameter for measuring saturated
hydraulic conductivity of the vadose zone, Soil Sci. Soc. Am.
J., 53, 1356–1361, 1989. a
Amoozegar, A. and Warrick, A.: Hydraulic conductivity of saturated soils: field
methods, Methods of Soil Analysis: Part 1,
5, 735–770, 1986. a
Andrade, R. B.: The influence of bulk density on the hydraulic conductivity and
water content-matric suction relation of two soils, PhD thesis, Utah State
University, 1971. a
Arend, J. L.: Infiltration rates of forest soils in the Missouri Ozarks as
affected by woods burning and litter removal, J. For., 39, 726–728, 1941. a
Bagarello, V. and Sgroi, A.: Using the single-ring infiltrometer method to
detect temporal changes in surface soil field-saturated hydraulic
conductivity, Soil Till. Res., 76, 13–24, 2004. a
Baird, A. J.: Field estimation of macropore functioning and surface hydraulic
conductivity in a fen peat, Hydrol. Process., 11, 287–295, 1997. a
Bambra, A.: Soil loss estimation in experimental orchard at Nauni in Solan
district of Himachal Pradesh, PhD thesis, Yashwant Singh Parmar,
University of horticulture and forestry, Solan (Nauni) HP, 2016. a
Batjes, N. H.: Total carbon and nitrogen in the soils of the world, Eur.
J. Soil Sci., 47, 151–163, 1996. a
Beyer, M., Gaj, M., Hamutoko, J. T., Koeniger, P., Wanke, H., and Himmelsbach,
T.: Estimation of groundwater recharge via deuterium labelling in the
semi-arid Cuvelai-Etosha Basin, Namibia, Isot. Environ. Healt.
S., 51, 533–552, 2015. a
Bhattacharyya, R., Prakash, V., Kundu, S., and Gupta, H.: Effect of tillage and
crop rotations on pore size distribution and soil hydraulic conductivity in
sandy clay loam soil of the Indian Himalayas, Soil Till. Res., 86,
129–140, 2006. a
Blake, W. H., Theocharopoulos, S. P., Skoulikidis, N., Clark, P., Tountas, P.,
Hartley, R., and Amaxidis, Y.: Wildfire impacts on hillslope sediment and
phosphorus yields, J. Soils Sed., 10, 671–682, 2010. a
Bodhinayake, W., Si, B. C., and Noborio, K.: Determination of hydraulic
properties in sloping landscapes from tension and double-ring infiltrometers,
Vadose Zone J., 3, 964–970, 2004. a
Boike, J., Roth, K., and Overduin, P. P.: Thermal and hydrologic dynamics of
the active layer at a continuous permafrost site (Taymyr Peninsula, Siberia),
Water Resour. Res., 34, 355–363, 1998. a
Bonell, M. and Williams, J.: The two parameters of the Philip infiltration
equation: their properties and spatial and temporal heterogeneity in a red
earth of tropical semi-arid Queensland, J. Hydrol., 87, 9–31,
1986. a
Bonsu, M. and Masopeh, B.: Saturated hydraulic conductivity values of some
forest soils of Ghana determined by a simple method, Ghana Journal of
Agricultural Science, 29, 75–80, 1996. a
Braud, I., Desprats, J.-F., Ayral, P.-A., Bouvier, C., and Vandervaere, J.-P.:
Mapping topsoil field-saturated hydraulic conductivity from point
measurements using different methods, J. Hydrol.
Hydromech., 65, 264–275, 2017. a
Breiman, L.: Random forests, Machine Learn., 45, 5–32, 2001. a
Bruand, A., Duval, O., and Cousin, I.: Estimation des propriétés de
rétention en eau des sols à partir de la base de données
SOLHYDRO: Une première proposition combianant le type d'horizon, sa
texture et sa densité apparente., Étude et Gestion des Sols, 11, 323–334, 2004. a
Campbell, R. E., Baker, J., Ffolliott, P. F., Larson, F. R., and Avery, C. C.:
Wildfire effects on a ponderosa pine ecosystem: an Arizona case study, USDA
For. Serv. Res. Pap. RM-191, US Department of Agriculture,
Forest Service, Rocky Mountain Forest and Range Experimental Station, Fort Collins, CO, 12 pp.,
191, 1977. a
Chang, Y.-J.: Predictions of saturated hydraulic conductivity dynamics in a
midwestern agricultural watershed, Iowa, PhD thesis, University of Iowa, USA,
2010. a
Chief, K., Ferré, T., and Nijssen, B.: Correlation between air permeability
and saturated hydraulic conductivity: Unburned and burned soils, Soil Sci.
Soc. Am. J., 72, 1501–1509, 2008. a
Cisneros, J., Cantero, J., and Cantero, A.: Vegetation, soil hydrophysical
properties, and grazing relationships in saline-sodic soils of Central
Argentina, Can. J. Soil Sci., 79, 399–409, 1999. a
Coelho, M. A.: Spatial variability of water related soil physical properties.,
PhD thesis, The University of Arizona, USA, 1974. a
Conedera, M., Peter, L., Marxer, P., Forster, F., Rickenmann, D., and Re, L.:
Consequences of forest fires on the hydrogeological response of mountain
catchments: a case study of the Riale Buffaga, Ticino, Switzerland, Earth
Surf. Processes Landf., 28, 117–129, 2003. a
Cornelis, W. M., Ronsyn, J., Van Meirvenne, M., and Hartmann, R.: Evaluation of
pedotransfer functions for predicting the soil moisture retention curve, Soil
Sci. Soc. Am. J., 65, 638–648, 2001. a
Daniel, S., Gabiri, G., Kirimi, F., Glasner, B., Näschen, K., Leemhuis, C.,
Steinbach, S., and Mtei, K.: Spatial distribution of soil hydrological
properties in the Kilombero floodplain, Tanzania, Hydrology, 4, 1–13, 2017. a
Davis, S. H., Vertessy, R. A., Dunkerley, D. L., and Mein, R. G.: The
influence of scale on the measurement of saturated hydraulic conductivity in
forest soils, in: National Conference Publication-Institution of Engineers
Australia NCP, 1, 103–108, Institution of Engineers, Australia,
1996. a
Deshmukh, H., Chandran, P., Pal, D., Ray, S., Bhattacharyya, T., and Potdar,
S.: A pragmatic method to estimate plant available water capacity (PAWC) of
rainfed cracking clay soils (Vertisols) of Maharashtra, Central India, Clay
Res., 33, 1–14, 2014. a
Ebel, B. A., Moody, J. A., and Martin, D. A.: Hydrologic conditions controlling
runoff generation immediately after wildfire, Water Resour. Res., 48, 1–13,
2012. a
Elnaggar, A.: Spatial Variability of Soil Physiochemical Properties in Bahariya
Oasis, Egypt, Egyptian J. Soil Sci., 57, 313–328,
https://doi.org/10.21608/EJSS.2017.4438, 2017. a
El-Shafei, Y., Al-Darby, A., Shalaby, A., and Al-Omran, A.: Impact of a highly
swelling gel-forming conditioner (acryhope) upon water movement in uniform
sandy soils, Arid Land Res. Manag., 8, 33–50, 1994. a
Fatichi, S., Or, D., Walko, R., Vereecken, H., Young, M. H., Ghezzehei, T. A.,
Hengl, T., Kollet, S., Agam, N., and Avissar, R.: Soil structure is an
important omission in Earth System Models, Nat. Commun., 11, 1–11, 2020. a
Ferreira, A., Coelho, C., Boulet, A., and Lopes, F.: Temporal patterns of
solute loss following wildfires in Central Portugal, Int. J.
Wildland Fire, 14, 401–412, 2005. a
Ganiyu, S., Rabiu, J., and Olatoye, R.: Predicting hydraulic conductivity
around septic tank systems using soil physico-chemical properties and
determination of principal soil factors by multivariate analysis, Journal of
King Saud University-Science, 32, 555–562, 2018. a
Ghanbarian, B., Taslimitehrani, V., and Pachepsky, Y. A.: Accuracy of sample
dimension-dependent pedotransfer functions in estimation of soil saturated
hydraulic conductivity, Catena, 149, 374–380, 2017. a
Glinski, J., Ostrowski, J., Stepniewska, Z., and Stepniewski, W.: Soil sample
bank representing mineral soils of Poland, Problemy Agrofizyki (Poland),
1991. a
Gliński, J., Stępniewski, W., Stępniewska, Z., Włodarczyk,
T., Brzezińska, M., et al.: Characteristics of aeration properties of
selected soil profiles from central Europe., Int. Agrophys., 14,
17–31, 2000. a
Greenwood, W. and Buttle, J.: Effects of reforestation on near-surface
saturated hydraulic conductivity in a managed forest landscape, southern
Ontario, Canada, Ecohydrology, 7, 45–55, 2014. a
Gupta, S., Hengl, T., Lehmann, P., Bonetti, S., and Or, D.: SoilKsatDB: global
compilation of soil saturated hydraulic conductivity measurements for
geoscience applications, Zenodo, https://doi.org/10.5281/zenodo.3752721, 2020. a, b, c
Gwenzi, W., Hinz, C., Holmes, K., Phillips, I. R., and Mullins, I. J.:
Field-scale spatial variability of saturated hydraulic conductivity on a
recently constructed artificial ecosystem, Geoderma, 166, 43–56, 2011. a
Habecker, M., McSweeney, K., and Madison, F.: Identification and genesis of
fragipans in Ochrepts of north central Wisconsin, Soil Sci. Soc.
Am. J., 54, 139–146, 1990. a
Habel, A. Y.: The role of climate on the aggregate stability and soil
erodibility of selected El-Jabal Al-Akhdar soils-Libya, Alexandria Journal of
Agricultural Research, 58, 261–271, 2013. a
Hamel, P., Falinski, K., Sharp, R., Auerbach, D. A., Sánchez-Canales, M.,
and Dennedy-Frank, P. J.: Sediment delivery modeling in practice: Comparing
the effects of watershed characteristics and data resolution across
hydroclimatic regions, Sci. Total Environ., 580, 1381–1388,
2017. a
Hao, M., Zhang, J., Meng, M., Chen, H. Y., Guo, X., Liu, S., and Ye, L.:
Impacts of changes in vegetation on saturated hydraulic conductivity of soil
in subtropical forests, Sci. Rep.-UK, 9, 1–9, 2019. a
Hardie, M. A., Cotching, W. E., Doyle, R. B., Holz, G., Lisson, S., and
Mattern, K.: Effect of antecedent soil moisture on preferential flow in a
texture-contrast soil, J. Hydrol., 398, 191–201, 2011. a
Hastie, T., Tibshirani, R., and Friedman, J.: The Elements of Statistical
Learning; Data Mining, Inference and Prediction, Springer, New York, 2 edn.,
2009. a
Haverkamp, R., Zammit, C., Bouraoui, F., Rajkai, K., Arrúe, J., and
Heckmann, N.: GRIZZLY: Grenoble catalogue of soils: Survey of soil field data
and description of particle-size, soil water retention and hydraulic
conductivity functions, Lab. d'Etude des Transferts en Hydrol. et Environ.,
Grenoble, France, 1998. a
Helbig, M., Boike, J., Langer, M., Schreiber, P., Runkle, B. R., and Kutzbach,
L.: Spatial and seasonal variability of polygonal tundra water balance: Lena
River Delta, northern Siberia (Russia), Hydrogeol. J., 21, 133–147,
2013. a
Hiederer, R., Jones, R. J., and Daroussin, J.: Soil Profile Analytical Database
for Europe (SPADE): reconstruction and validation of the measured data
(SPADE/M), Geografisk Tidsskrift-Danish Journal of Geography, 106, 71–85,
2006. a
Hilton, A. and Armstrong, R. A.: Statnote 6: post-hoc ANOVA tests,
Microbiologist, 2006, 34–36, 2006. a
Horn, A., Stumpfe, A., Kues, J., Zinner, H.-J., and Fleige, H.: Die
Labordatenbank des Niedersächsischen Bodeninformationssystems (NIBIS)-.
Teil: Fachinformationssystem Bodenkunde, Geologisches Jahrbuch. Reihe A,
Allgemeine und regionale Geologie BR Deutschland und Nachbargebiete,
Tektonik, Stratigraphie, Paläontologie, Tagung der Gesellschaft für Geologische Wissenschaften, 4 May 1988, Elbingerode, Stratigraphie, Lithologie, Tektonik und Lagerstätten ausgewählter Bereiche im Unter- und Mittelharz, 59–97, 1991. a
Houghton, T. B.: Hydrogeologic characterization of an alpine glacial till,
Snowy Range, Wyoming, PhD thesis, Colorado State University, USA, Libraries,
2011. a
Hu, W., She, D., Shao, M., Chun, K. P., and Si, B.: Effects of initial soil
water content and saturated hydraulic conductivity variability on small
watershed runoff simulation using LISEM, Hydrol. Sci. J., 60,
1137–1154, 2015. a
Imeson, A., Verstraten, J., Van Mulligen, E., and Sevink, J.: The effects of
fire and water repellency on infiltration and runoff under Mediterranean type
forest, Catena, 19, 345–361, 1992. a
Jabro, J.: Estimation of saturated hydraulic conductivity of soils from
particle size distribution and bulk density data, Transactions of the ASAE,
35, 557–560, 1992. a
Jarvis, N., Koestel, J., Messing, I., Moeys, J., and Lindahl, A.: Influence of soil, land use and climatic factors on the hydraulic conductivity of soil, Hydrol. Earth Syst. Sci., 17, 5185–5195, https://doi.org/10.5194/hess-17-5185-2013, 2013. a
Johansen, M. P., Hakonson, T. E., and Breshears, D. D.: Post-fire runoff and
erosion from rainfall simulation: contrasting forests with shrublands and
grasslands, Hydrol. Process., 15, 2953–2965, 2001. a
Kanemasu, E.: Soil Hydraulic Conductivity Data (FIFE), ORNL Distributed
Active Archive Center, https://doi.org/10.3334/ORNLDAAC/107, 1994. a, b
Katimon, A. and Hassan, A. M. M.: Field hydraulic conductivity of some
Malaysian peat, Malaysian Journal of Civil Engineering, 10, 14–20,, 1997. a
Keisling, T. C.: Precision with which selected physical properties of similar
soils can be estimated, PhD thesis, Oklahoma State University, USA, 1974. a
Kelly, T. J., Baird, A. J., Roucoux, K. H., Baker, T. R., Honorio Coronado,
E. N., Ríos, M., and Lawson, I. T.: The high hydraulic conductivity of
three wooded tropical peat swamps in northeast Peru: measurements and
implications for hydrological function, Hydrol. Process., 28,
3373–3387, 2014. a
Kirby, J., Kingham, R., and Cortes, M.: Texture, density and hydraulic
conductivity of some soils in San Luis province, Argentina, Ciencia del
suelo, 19, 20–28, 2001. a
Klute, A.: Laboratory measurement of hydraulic conductivity of saturated soil,
Methods of Soil Analysis: Part 1 Physical and Mineralogical Properties,
Including Statistics of Measurement and Sampling, 9, 210–221, 1965. a
Klute, A. and Dirksen, C.: Hydraulic conductivity and diffusivity: Laboratory
methods, Methods of Soil Analysis: Part 1,
5, 687–734, 1986. a
Kool, J., Albrecht, K. A., Parker, J., and Baker, J.: Physical and chemical
characterization of the Groseclose soil mapping unit, Tech. rep., Virginia
Agricultural Experiment Station, Virginia, 1986. a
Krahmer, U., Hennings, V., Müller, U., and Schrey, H.-P.: Ermittlung
bodenphysikalischer Kennwerte in Abhängigkeit von Bodenart,
lagerungsdichte und Humusgehalt, Zeitschrift für Pflanzenernährung
und Bodenkunde, 158, 323–331, 1995. a
Kramarenko, V., Brakorenko, N., and Molokov, V.: Hydraulic conductivity of peat
in Western Siberia, in: E3S Web of Conferences, 98, 11003, EDP
Sciences, https://doi.org/10.1051/e3sconf/20199811003, 2019. a
Kutiel, P., Lavee, H., Segev, M., and Benyamini, Y.: The effect of fire-induced
surface heterogeneity on rainfall-runoff-erosion relationships in an eastern
Mediterranean ecosystem, Israel, Catena, 25, 77–87, 1995. a
Kutílek, M., Krejča, M., Haverkamp, R., Rendon, L., and Parlange,
J.-Y.: On extrapolation of algebraic infiltration equations, Soil Technol.,
1, 47–61, 1988. a
Lamara, M. and Derriche, Z.: Prediction of unsaturated hydraulic properties of
dune sand on drying and wetting paths, Electron. J. Geotech. Eng., 13, 1–19,
2008. a
Lassabatere, L., Angulo-Jaramillo, R., Soria Ugalde, J., Cuenca, R., Braud, I.,
and Haverkamp, R.: Beerkan estimation of soil transfer parameters through
infiltration experiments–BEST, Soil Sci. Soc. Am. J., 70,
521–532, 2006. a
Lawrence, I. and Lin, K.: A concordance correlation coefficient to evaluate
reproducibility, Biometrics, 45, 255–268, 1989. a
Leij, F., Alves, W., Van Genuchten, M. T., and Williams, J.: The UNSODA
Unsaturated Soil Hydraulic Database, User's Manual, Version 1.0, Rep.
EPA/600/R-96, US Environmental Protection Agency, Ada, Oklahoma, 95, 103, 1996. a
Li, X., Liu, S., Xiao, Q., Ma, M., Jin, R., Che, T., Wang, W., Hu, X., Xu, Z.,
Wen, J., and Wang, L.: A multiscale dataset for understanding complex
eco-hydrological processes in a heterogeneous oasis system, Sci. Data,
4, 170083, https://doi.org/10.1038/sdata.2017.83, 2017. a, b
Lopes, V. S., Cardoso, I. M., Fernandes, O. R., Rocha, G. C., Simas, F. N. B.,
de Melo Moura, W., Santana, F. C., Veloso, G. V., and da Luz, J. M. R.: The
establishment of a secondary forest in a degraded pasture to improve
hydraulic properties of the soil, Soil Till. Res., 198, 104538, https://doi.org/10.1016/j.still.2019.104538,
2020. a
Lopez, O., Jadoon, K., and Missimer, T.: Method of relating grain size
distribution to hydraulic conductivity in dune sands to assist in assessing
managed aquifer recharge projects: Wadi Khulays dune field, western Saudi
Arabia, Water, 7, 6411–6426, 2015. a
Mahapatra, S. and Jha, M. K.: On the estimation of hydraulic conductivity of
layered vadose zones with limited data availability, J. Earth Syst.
Sci., 128, 75, https://doi.org/10.1007/s12040-019-1101-1, 2019. a
Martin, D. A. and Moody, J. A.: Comparison of soil infiltration rates in burned
and unburned mountainous watersheds, Hydrol. Process., 15, 2893–2903,
2001. a
McKenzie, N., Jacquier, D., and Gregory, L.: Online soil information
systems–recent Australian experience, in: Digital soil mapping with limited
data, Springer, https://doi.org/10.1007/978-1-4020-8592-5_24, pp. 283–290, 2008. a
Mohsenipour, M. and Shahid, S.: Estimation OF saturated hydraulic conductivity:
A Review, Malasia: Academia Edu, available at: http://bit.ly/2WShxfW (last access: 3 February 2021), 2016. a
Mott, J., Bridge, B., and Arndt, W.: Soil seals in tropical tall grass pastures
of northern Australia, Soil Res., 17, 483–494, 1979. a
Mualem, Y.: Catalogue of the hydraulic properties of unsaturated soils,
Technion Israel Institute of Technology, Technion Research & Development, Israel,
1976. a
Muñoz-Carpena, R., Regalado, C. M., Álvarez-Benedi, J., and Bartoli,
F.: Field evaluation of the new Philip-Dunne permeameter for measuring
saturated hydraulic conductivity, Soil Sci., 167, 9–24, 2002. a
Naik, A. P., Ghosh, B., and Pekkat, S.: Estimating soil hydraulic properties
using mini disk infiltrometer, ISH Journal of Hydraulic Engineering, 25,
62–70, 2019. a
National Cooperative Soil Survey: National cooperative soil survey
characterization database, United States Department of Agriculture, Natural
Resoucres Conservation, Lincoln, NE, 2016. a
Nemes, A.: Unsaturated soil hydraulic database of Hungary: HUNSODA,
Agrokémia és Talajtan, 51, 17–26, 2002. a
Nemes, A.: Databases of soil physical and hydraulic properties, Encyclopedia of
agrophysics, 194–199, https://doi.org/10.1007/978-90-481-3585-1_39, 2011. a
Niemeyer, R., Fremier, A. K., Heinse, R., Chávez, W., and DeClerck, F. A.:
Woody vegetation increases saturated hydraulic conductivity in dry tropical
Nicaragua, Vadose Zone J., 13, 1–11, 2014. a
Nyman, P., Sheridan, G. J., Smith, H. G., and Lane, P. N.: Evidence of debris
flow occurrence after wildfire in upland catchments of south-east Australia,
Geomorphology, 125, 383–401, 2011. a
Ouattara, M.: Variation of saturated hydraulic conductivity with depth for
selected profiles of Tillman-Hollister soil, PhD thesis, Oklahoma State
University, Oklahoma, 1977. a
Päivänen, J.: Hydraulic conductivity and water retention in peat
soils, Suomen metsätieteellinen seura, Finland, 1973. a
Parks, D. S. and Cundy, T. W.: Soil hydraulic characteristics of a small
southwest Oregon watershed following high-intensity wildfires, in: Proceedings of the Symposium on Fire and Watershed
Management, edited by: Berg,
N. H., 26–28 October 1988, Sacramento, California, Gen. Tech. Rep.
PSW-109, US Department of Agriculture, Forest Service,
Pacific Southwest Forest and Range Experiment Station, Berkeley, Calif., 109, 63–67, 1989. a
Price, K., Jackson, C. R., and Parker, A. J.: Variation of surficial soil
hydraulic properties across land uses in the southern Blue Ridge Mountains,
North Carolina, USA, J. Hydrol., 383, 256–268, 2010. a
Purdy, S. and Suryasasmita, V.: Comparison of hydraulic conductivity test
methods for landfill clay liners, in: Advances in Unsaturated Soil, Seepage,
and Environmental Geotechnics, GeoShanghai International Conference 2006, China, pp. 364–372, 2006. a
Quinton, W. L., Hayashi, M., and Carey, S. K.: Peat hydraulic conductivity in
cold regions and its relation to pore size and geometry, Hydrol.
Process., 22, 2829–2837, 2008. a
Rab, M.: Soil physical and hydrological properties following logging and slash
burning in the Eucalyptus regnans forest of southeastern Australia, Forest
Ecol. Manag., 84, 159–176, 1996. a
Radcliffe, D., West, L., Ware, G., and Bruce, R.: Infiltration in adjacent
Cecil and Pacolet soils, Soil Sci. Soc. Am. J., 54,
1739–1743, 1990. a
Rahimy, P.: Effects of Soil Depth and Saturated Hydraulic Conductivity Spatial
Variation on Runoff Simulation by the Limburg Soil Erosion Model, LISEM: A
Case Study in Faucon Catchment, University of Twente Faculty of
Geo-Information and Earth Observation (ITC), France, 2011. a
Rahmati, M., Weihermüller, L., Vanderborght, J., Pachepsky, Y. A., Mao, L., Sadeghi, S. H., Moosavi, N., Kheirfam, H., Montzka, C., Van Looy, K., Toth, B., Hazbavi, Z., Al Yamani, W., Albalasmeh, A. A., Alghzawi, M. Z., Angulo-Jaramillo, R., Antonino, A. C. D., Arampatzis, G., Armindo, R. A., Asadi, H., Bamutaze, Y., Batlle-Aguilar, J., Béchet, B., Becker, F., Blöschl, G., Bohne, K., Braud, I., Castellano, C., Cerdà, A., Chalhoub, M., Cichota, R., Císlerová, M., Clothier, B., Coquet, Y., Cornelis, W., Corradini, C., Coutinho, A. P., de Oliveira, M. B., de Macedo, J. R., Durães, M. F., Emami, H., Eskandari, I., Farajnia, A., Flammini, A., Fodor, N., Gharaibeh, M., Ghavimipanah, M. H., Ghezzehei, T. A., Giertz, S., Hatzigiannakis, E. G., Horn, R., Jiménez, J. J., Jacques, D., Keesstra, S. D., Kelishadi, H., Kiani-Harchegani, M., Kouselou, M., Kumar Jha, M., Lassabatere, L., Li, X., Liebig, M. A., Lichner, L., López, M. V., Machiwal, D., Mallants, D., Mallmann, M. S., de Oliveira Marques, J. D., Marshall, M. R., Mertens, J., Meunier, F., Mohammadi, M. H., Mohanty, B. P., Pulido-Moncada, M., Montenegro, S., Morbidelli, R., Moret-Fernández, D., Moosavi, A. A., Mosaddeghi, M. R., Mousavi, S. B., Mozaffari, H., Nabiollahi, K., Neyshabouri, M. R., Ottoni, M. V., Ottoni Filho, T. B., Pahlavan-Rad, M. R., Panagopoulos, A., Peth, S., Peyneau, P.-E., Picciafuoco, T., Poesen, J., Pulido, M., Reinert, D. J., Reinsch, S., Rezaei, M., Roberts, F. P., Robinson, D., Rodrigo-Comino, J., Rotunno Filho, O. C., Saito, T., Suganuma, H., Saltalippi, C., Sándor, R., Schütt, B., Seeger, M., Sepehrnia, N., Sharifi Moghaddam, E., Shukla, M., Shutaro, S., Sorando, R., Stanley, A. A., Strauss, P., Su, Z., Taghizadeh-Mehrjardi, R., Taguas, E., Teixeira, W. G., Vaezi, A. R., Vafakhah, M., Vogel, T., Vogeler, I., Votrubova, J., Werner, S., Winarski, T., Yilmaz, D., Young, M. H., Zacharias, S., Zeng, Y., Zhao, Y., Zhao, H., and Vereecken, H.: Development and analysis of the Soil Water Infiltration Global database, Earth Syst. Sci. Data, 10, 1237–1263, https://doi.org/10.5194/essd-10-1237-2018, 2018. a, b, c, d, e, f, g
Ramli, M.: Management of Groundwater Resources from Peat in Sarawak, Paper presented at the Workshop Working Towards Integrated Peatland Management, Kuching, Sarawak, 1999. a
Ravi, S., Wang, L., Kaseke, K. F., Buynevich, I. V., and Marais, E.:
Ecohydrological interactions within “fairy circles” in the Namib Desert:
Revisiting the self-organization hypothesis, J. Geophys. Res.-Biogeo., 122, 405–414, 2017. a
Rawls, W. J., Brakensiek, D. L., and Saxtonn, K.: Estimation of soil water
properties, Transactions of the ASAE, 25, 1316–1320, 1982. a
Reynolds, W. and Elrick, D.: In situ measurement of field-saturated hydraulic
conductivity, sorptivity, and the α-parameter using the Guelph
permeameter, Soil Sci., 140, 292–302, 1985. a
Reynolds, W., Bowman, B., Brunke, R., Drury, C., and Tan, C.: Comparison of
tension infiltrometer, pressure infiltrometer, and soil core estimates of
saturated hydraulic conductivity, Soil Sci. Soc. Am. J.,
64, 478–484, 2000. a
Robbins, C. W.: Hydraulic conductivity and moisture retention characteristics
of southern Idaho's silt loam soils, Tech. rep., University of Idaho College
of Agriculture, USA, 1977. a
Romano, N. and Palladino, M.: Prediction of soil water retention using soil
physical data and terrain attributes, J. Hydrol., 265, 56–75,
2002. a
Rubel, F. and Kottek, M.: Observed and projected climate shifts 1901–2100
depicted by world maps of the Köppen-Geiger climate classification,
Meteorol. Z., 19, 135–141, 2010. a
Rycroft, D., Williams, D., and Ingram, H.: The transmission of water through
peat: I. Review, The Journal of Ecology, 63, 535–556, https://doi.org/10.2307/2258734, 1975. a
Sanzeni, A., Colleselli, F., and Grazioli, D.: Specific surface and hydraulic
conductivity of fine-grained soils, J. Geotech.
Geoenviron., 139, 1828–1832, 2013. a
Sayok, A., Ayob, K., Melling, L., Goh, K., Uyo, L., and Hatano, R.: Hydraulic conductivity and moisture characteristics of tropical peatland-preliminary investigation, Malaysian Society of Soil Science (MSSS), Malaysian, 2007. a
Schwärzel, K. and Punzel, J.: Hood infiltrometer—a new type of tension
infiltrometer, Soil Sci. Soc. Am. J., 71, 1438–1447, 2007. a
Scotter, D., Clothier, B., and Harper, E.: Measuring saturated hydraulic
conductivity and sorptivity using twin rings, Soil Res., 20, 295–304,
1982. a
Sepehrnia, N., Hajabbasi, M. A., Afyuni, M., and Lichner, L.: Extent and
persistence of water repellency in two Iranian soils, Biologia, 71,
1137–1143, 2016. a
Sharma, S. K., Mohanty, B. P., and Zhu, J.: Including topography and vegetation
attributes for developing pedotransfer functions, Soil Sci. Soc.
Am. J., 70, 1430–1440, 2006. a
Simmons, L. A.: Soil hydraulic and physical properties as affected by logging
management, PhD thesis, University of Missouri–Columbia, USA, 2014. a
Singh, I., Awasthi, O., Sharma, B., More, T., and Meena, S.: Soil
properties, root growth, water-use efficiency in brinjal (Solanum melongena)
production and economics as affected by soil water conservation practices,
Ind. J. Agric. Sci., 81, 84–87, 2011. a
Singh, R., Van Dam, J., and Feddes, R. A.: Water productivity analysis of
irrigated crops in Sirsa district, India, Agric. Water Manage., 82,
253–278, 2006. a
Smettem, K. and Ross, P.: Measurement and prediction of water movement in a
field soil: The matrix-macropore dichotomy, Hydrol. Process., 6, 1–10,
1992. a
Sonneveld, M., Everson, T., and Veldkamp, A.: Multi-scale analysis of soil
erosion dynamics in Kwazulu-Natal, South Africa, Land Degrad.
Dev., 16, 287–301, 2005. a
Southard, R. and Buol, S.: Subsoil saturated hydraulic conductivity in relation
to soil properties in the North Carolina Coastal Plain, Soil Sci. Soc. Am. J., 52, 1091–1094, 1988. a
Sutejo, Y., Saggaff, A., Rahayu, W., and Hanafiah: Hydraulic conductivity and
compressibility characteristics of fibrous peat, in: IOP Conference Series:
Materials Science and Engineering, IOP Publishing, Bristol, 620, 012053, 2019. a
Szabó, B., Szatmári, G., Takács, K., Laborczi, A., Makó, A., Rajkai, K., and Pásztor, L.: Mapping soil hydraulic properties using random-forest-based pedotransfer functions and geostatistics, Hydrol. Earth Syst. Sci., 23, 2615–2635, https://doi.org/10.5194/hess-23-2615-2019, 2019. a
Takahashi, H.: Studies on microclimate and hydrology of peat swamp forest in
Central Kalimantan, Indonesia, in: Biodiversity and Sustainability of
Tropical peatlands, Samara Publishing Limited, Indonesia, 178–198, 1997. a
Terzaghi, K.: Geotechnical investigation and testing-Laboratory testing of soil-Part 5: Incremental loading oedometer test 2, W3C XML, 1, 2006, 2004. a
Tete-Mensah, I.: Evaluation of Some Physical and Chemical Properties of Soils
Under two Agroforestrv Practices, PhD thesis, University of Ghana, Ghana, 1993. a
Tomasella, J., Pachepsky, Y., Crestana, S., and Rawls, W.: Comparison of two
techniques to develop pedotransfer functions for water retention, Soil
Sci. Soc. Am. J., 67, 1085–1092, 2003. a
Tuller, M. and Or, D.: Unsaturated Hydraulic Conductivity of Structured Porous
MediaA Review of Liquid Configuration–Based Models, Vadose Zone J., 1,
14–37, 2002. a
Varela, M., Benito, E., and Keizer, J.: Influence of wildfire severity on soil
physical degradation in two pine forest stands of NW Spain, Catena, 133,
342–348, 2015. a
Verburg, K., Bridge, B. J., Bristow, K. L., and Keating, B. A.: Properties of
selected soils in the Gooburrum–Moore Park area of Bundaberg, CSIRO Land and
Water Technical Report, CSIRO Land and water, Canberra, Australia, 9, 77, 2001. a
Vereecken, H., Weynants, M., Javaux, M., Pachepsky, Y., Schaap, M., and Genuchten,
M. T.: Using pedotransfer functions to estimate the van
Genuchten–Mualem soil hydraulic properties: A review, Vadose Zone J.,
9, 795–820, 2010. a
Vereecken, H., Van Looy, K., Weynants, M., and Javaux, M.: Soil retention and
conductivity curve data base sDB, link to MATLAB files, PANGAEA, https://doi.org/10.1594/PANGAEA.879233, 2017. a, b, c, d
Vereecken, H., Weihermüller, L., Assouline, S., Šimunek, J., Verhoef, A., Herbst, M., Archer, N., Mohanty, B., Montzka, C., Van derborght, J., Balsamo, G., Bechtold, M., Boone, A., Chadburn, S., Cuntz, Mathias., Decharme, Bertrand., Ducharne, Agnès., Ek, M., Garrigues, S., Goergen, K., Ingwersen, J., Kollet, S., M.Lawrence, David., Li, Q., Or, D., Swenson, S., de Vrese, P., Walko, R., Wu, Y., and Xue, Y.:
Infiltration from the pedon to global grid scales: An overview and outlook
for land surface modeling, Vadose Zone J., 18, 1–53, 2019. a
Vieira, B. C. and Fernandes, N. F.: Landslides in Rio de Janeiro: the role
played by variations in soil hydraulic conductivity, Hydrol. Process.,
18, 791–805, 2004. a
Vogeler, I., Carrick, S., Cichota, R., and Lilburne, L.: Estimation of soil
subsurface hydraulic conductivity based on inverse modelling and soil
morphology, J. Hydrol., 574, 373–382, 2019. a
Waddington, J. and Roulet, N.: Groundwater flow and dissolved carbon movement
in a boreal peatland, J. Hydrol., 191, 122–138, 1997. a
Wang, T., Zlotnik, V. A., Wedin, D., and Wally, K. D.: Spatial trends in
saturated hydraulic conductivity of vegetated dunes in the Nebraska Sand
Hills: Effects of depth and topography, J. Hydrol., 349, 88–97,
2008. a
Weynants, M., Montanarella, L., Toth, G., Arnoldussen, A., Anaya Romero, M.,
Bilas, G., Borresen, T., Cornelis, W., Daroussin, J., Gonçalves, M.
D. C., Haugen, L.-E., Hennings, V., Houskova, B., Iovino, M., Javaux, M., Keay, C. A., Kätterer, T., Kvaerno, S., Laktinova, T., Lamorski, K.,Lilly, A., Mako, A., Matula, S., Morari, F., Nemes, A., Patyka, N. V., Romano, N., Schindler, U., Shein, E., Slawinski, C., Strauss, P., Tóth, B., and Woesten, H.: European HYdropedological Data Inventory (EU-HYDI), EUR
Scientific and Technical Research Series, EUR 26053 EN, 167 pp., 2013. a
Wösten, J.: The HYPRES database of hydraulic properties of European
soils., Adv. GeoEcology, 32, 135–143, 2000. a
Wösten, J., Pachepsky, Y. A., and Rawls, W.: Pedotransfer functions:
bridging the gap between available basic soil data and missing soil hydraulic
characteristics, J. Hydrol., 251, 123–150, 2001. a
Wright, M. N. and Ziegler, A.: Ranger: a fast implementation of random forests
for high dimensional data in C++ and R, arXiv preprint arXiv:1508.04409,
2015. a
Yao, S., Zhang, T., Zhao, C., and Liu, X.: Saturated hydraulic conductivity of
soils in the Horqin Sand Land of Inner Mongolia, northern China,
Environ. Monit. Assess., 185, 6013–6021, 2013. a
Yasin, S. and Yulnafatmawita, Y.: Effects of Slope Position on Soil
Physico-chemical Characteristics Under Oil Palm Plantation in Wet Tropical
Area, West Sumatra Indonesia, AGRIVITA, J. Agric. Sci., 40,
328–337, 2018. a
Zakaria, S.: Water management in deep peat soils in Malaysia, PhD thesis,
Cranfield University, Cranfield, UK, 1992. a
Zhang, S., Xiahou, Y., Tang, H., Huang, L., Liu, X., and Wu, Q.: Study on the
spatially variable saturated hydraulic conductivity and deformation behavior
of accumulation reservoir landslide Based on surface nuclear magnetic
resonance survey, Adv. Civil Eng., 2018, 7290640, https://doi.org/10.1155/2018/7290640, 2018. a
Altmetrics
Final-revised paper
Preprint