Articles | Volume 11, issue 1
https://doi.org/10.5194/essd-11-189-2019
© Author(s) 2019. 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-11-189-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
06 Feb 2019
| 06 Feb 2019
Multi-source global wetland maps combining surface water imagery and groundwater constraints
Ardalan Tootchi
CORRESPONDING AUTHOR
Sorbonne Université, CNRS, EPHE, Milieux environnementaux,
transferts et interaction dans les hydrosystèmes et les sols, Metis,
75005 Paris, France
Anne Jost
Sorbonne Université, CNRS, EPHE, Milieux environnementaux,
transferts et interaction dans les hydrosystèmes et les sols, Metis,
75005 Paris, France
Agnès Ducharne
Sorbonne Université, CNRS, EPHE, Milieux environnementaux,
transferts et interaction dans les hydrosystèmes et les sols, Metis,
75005 Paris, France
Related authors
Simon P. K. Bowring, Ronny Lauerwald, Bertrand Guenet, Dan Zhu, Matthieu Guimberteau, Pierre Regnier, Ardalan Tootchi, Agnès Ducharne, and Philippe Ciais
Geosci. Model Dev., 13, 507–520, https://doi.org/10.5194/gmd-13-507-2020, https://doi.org/10.5194/gmd-13-507-2020, 2020
Short summary
Short summary
In this second part of the study, we performed simulations of the carbon and water budget of the Lena catchment with the land surface model ORCHIDEE MICT-LEAK, enabled to simulate dissolved organic carbon (DOC) production in soils and its transport and fate in high-latitude inland waters. We compare simulations using this model to existing data sources to show that it is capable of reproducing dissolved carbon fluxes of potentially great importance for the future of the global permafrost.
Simon P. K. Bowring, Ronny Lauerwald, Bertrand Guenet, Dan Zhu, Matthieu Guimberteau, Ardalan Tootchi, Agnès Ducharne, and Philippe Ciais
Geosci. Model Dev., 12, 3503–3521, https://doi.org/10.5194/gmd-12-3503-2019, https://doi.org/10.5194/gmd-12-3503-2019, 2019
Short summary
Short summary
Few Earth system models represent permafrost soil biogeochemistry, contributing to uncertainty in estimating its response and that of the planet to warming. Because the permafrost contains over double the carbon in the present atmosphere, its fate as it is
unlockedby warming is globally significant. One way it can be mobilised is into rivers, the sea, or the atmosphere: a vector previously ignored in climate modelling. We present a model scheme for resolving this vector at a global scale.
Chunjing Qiu, Dan Zhu, Philippe Ciais, Bertrand Guenet, Shushi Peng, Gerhard Krinner, Ardalan Tootchi, Agnès Ducharne, and Adam Hastie
Geosci. Model Dev., 12, 2961–2982, https://doi.org/10.5194/gmd-12-2961-2019, https://doi.org/10.5194/gmd-12-2961-2019, 2019
Short summary
Short summary
We present a model that can simulate the dynamics of peatland area extent and the vertical buildup of peat. The model is validated across a range of northern peatland sites and over the Northern Hemisphere (> 30° N). It is able to reproduce the spatial extent of northern peatlands and peat carbon accumulation over the Holocene.
Peng Huang, Agnès Ducharne, Lucia Rinchiuso, Jan Polcher, Laure Baratgin, Vladislav Bastrikov, and Eric Sauquet
EGUsphere, https://doi.org/10.5194/egusphere-2024-445, https://doi.org/10.5194/egusphere-2024-445, 2024
Short summary
Short summary
We conducted a high-resolution hydrological simulation from 1959 to 2020 across France. We used a simple trial-and-error calibration to reduce the biases of the simulated water budget compared to observations. The selected simulation satisfactorily reproduces water fluxes, including their spatial contrasts and temporal trends. This work offers a thorough historical overview of water resources and a robust configuration for climate change impact analysis at the nationwide scale of France.
Pedro Felipe Arboleda-Obando, Agnès Ducharne, Zun Yin, and Philippe Ciais
Geosci. Model Dev., 17, 2141–2164, https://doi.org/10.5194/gmd-17-2141-2024, https://doi.org/10.5194/gmd-17-2141-2024, 2024
Short summary
Short summary
We show a new irrigation scheme included in the ORCHIDEE land surface model. The new irrigation scheme restrains irrigation due to water shortage, includes water adduction, and represents environmental limits and facilities to access water, due to representing infrastructure in a simple way. Our results show that the new irrigation scheme helps simulate acceptable land surface conditions and fluxes in irrigated areas, even if there are difficulties due to shortcomings and limited information.
Tom Gleeson, Thorsten Wagener, Petra Döll, Samuel C. Zipper, Charles West, Yoshihide Wada, Richard Taylor, Bridget Scanlon, Rafael Rosolem, Shams Rahman, Nurudeen Oshinlaja, Reed Maxwell, Min-Hui Lo, Hyungjun Kim, Mary Hill, Andreas Hartmann, Graham Fogg, James S. Famiglietti, Agnès Ducharne, Inge de Graaf, Mark Cuthbert, Laura Condon, Etienne Bresciani, and Marc F. P. Bierkens
Geosci. Model Dev., 14, 7545–7571, https://doi.org/10.5194/gmd-14-7545-2021, https://doi.org/10.5194/gmd-14-7545-2021, 2021
Short summary
Short summary
Groundwater is increasingly being included in large-scale (continental to global) land surface and hydrologic simulations. However, it is challenging to evaluate these simulations because groundwater is
hiddenunderground and thus hard to measure. We suggest using multiple complementary strategies to assess the performance of a model (
model evaluation).
Axel P. Belemtougri, Agnès Ducharne, and Harouna Karambiri
Proc. IAHS, 384, 19–23, https://doi.org/10.5194/piahs-384-19-2021, https://doi.org/10.5194/piahs-384-19-2021, 2021
Hiroki Mizuochi, Agnès Ducharne, Frédérique Cheruy, Josefine Ghattas, Amen Al-Yaari, Jean-Pierre Wigneron, Vladislav Bastrikov, Philippe Peylin, Fabienne Maignan, and Nicolas Vuichard
Hydrol. Earth Syst. Sci., 25, 2199–2221, https://doi.org/10.5194/hess-25-2199-2021, https://doi.org/10.5194/hess-25-2199-2021, 2021
Natasha MacBean, Russell L. Scott, Joel A. Biederman, Catherine Ottlé, Nicolas Vuichard, Agnès Ducharne, Thomas Kolb, Sabina Dore, Marcy Litvak, and David J. P. Moore
Hydrol. Earth Syst. Sci., 24, 5203–5230, https://doi.org/10.5194/hess-24-5203-2020, https://doi.org/10.5194/hess-24-5203-2020, 2020
Tom Gleeson, Thorsten Wagener, Petra Döll, Samuel C. Zipper, Charles West, Yoshihide Wada, Richard Taylor, Bridget Scanlon, Rafael Rosolem, Shams Rahman, Nurudeen Oshinlaja, Reed Maxwell, Min-Hui Lo, Hyungjun Kim, Mary Hill, Andreas Hartmann, Graham Fogg, James S. Famiglietti, Agnès Ducharne, Inge de Graaf, Mark Cuthbert, Laura Condon, Etienne Bresciani, and Marc F. P. Bierkens
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-378, https://doi.org/10.5194/hess-2020-378, 2020
Revised manuscript not accepted
Salma Tafasca, Agnès Ducharne, and Christian Valentin
Hydrol. Earth Syst. Sci., 24, 3753–3774, https://doi.org/10.5194/hess-24-3753-2020, https://doi.org/10.5194/hess-24-3753-2020, 2020
Short summary
Short summary
In land surface models (LSMs), soil properties are inferred from soil texture. In this study, we use different input global soil texture maps from the literature to investigate the impact of soil texture on the simulated water budget in an LSM. The medium loamy textures give the highest evapotranspiration and lowest total runoff rates. However, the different soil texture maps result in similar water budgets because of their inherent similarities, especially when upscaled at the 0.5° resolution.
Simon P. K. Bowring, Ronny Lauerwald, Bertrand Guenet, Dan Zhu, Matthieu Guimberteau, Pierre Regnier, Ardalan Tootchi, Agnès Ducharne, and Philippe Ciais
Geosci. Model Dev., 13, 507–520, https://doi.org/10.5194/gmd-13-507-2020, https://doi.org/10.5194/gmd-13-507-2020, 2020
Short summary
Short summary
In this second part of the study, we performed simulations of the carbon and water budget of the Lena catchment with the land surface model ORCHIDEE MICT-LEAK, enabled to simulate dissolved organic carbon (DOC) production in soils and its transport and fate in high-latitude inland waters. We compare simulations using this model to existing data sources to show that it is capable of reproducing dissolved carbon fluxes of potentially great importance for the future of the global permafrost.
Simon P. K. Bowring, Ronny Lauerwald, Bertrand Guenet, Dan Zhu, Matthieu Guimberteau, Ardalan Tootchi, Agnès Ducharne, and Philippe Ciais
Geosci. Model Dev., 12, 3503–3521, https://doi.org/10.5194/gmd-12-3503-2019, https://doi.org/10.5194/gmd-12-3503-2019, 2019
Short summary
Short summary
Few Earth system models represent permafrost soil biogeochemistry, contributing to uncertainty in estimating its response and that of the planet to warming. Because the permafrost contains over double the carbon in the present atmosphere, its fate as it is
unlockedby warming is globally significant. One way it can be mobilised is into rivers, the sea, or the atmosphere: a vector previously ignored in climate modelling. We present a model scheme for resolving this vector at a global scale.
Chunjing Qiu, Dan Zhu, Philippe Ciais, Bertrand Guenet, Shushi Peng, Gerhard Krinner, Ardalan Tootchi, Agnès Ducharne, and Adam Hastie
Geosci. Model Dev., 12, 2961–2982, https://doi.org/10.5194/gmd-12-2961-2019, https://doi.org/10.5194/gmd-12-2961-2019, 2019
Short summary
Short summary
We present a model that can simulate the dynamics of peatland area extent and the vertical buildup of peat. The model is validated across a range of northern peatland sites and over the Northern Hemisphere (> 30° N). It is able to reproduce the spatial extent of northern peatlands and peat carbon accumulation over the Holocene.
Gerhard Krinner, Chris Derksen, Richard Essery, Mark Flanner, Stefan Hagemann, Martyn Clark, Alex Hall, Helmut Rott, Claire Brutel-Vuilmet, Hyungjun Kim, Cécile B. Ménard, Lawrence Mudryk, Chad Thackeray, Libo Wang, Gabriele Arduini, Gianpaolo Balsamo, Paul Bartlett, Julia Boike, Aaron Boone, Frédérique Chéruy, Jeanne Colin, Matthias Cuntz, Yongjiu Dai, Bertrand Decharme, Jeff Derry, Agnès Ducharne, Emanuel Dutra, Xing Fang, Charles Fierz, Josephine Ghattas, Yeugeniy Gusev, Vanessa Haverd, Anna Kontu, Matthieu Lafaysse, Rachel Law, Dave Lawrence, Weiping Li, Thomas Marke, Danny Marks, Martin Ménégoz, Olga Nasonova, Tomoko Nitta, Masashi Niwano, John Pomeroy, Mark S. Raleigh, Gerd Schaedler, Vladimir Semenov, Tanya G. Smirnova, Tobias Stacke, Ulrich Strasser, Sean Svenson, Dmitry Turkov, Tao Wang, Nander Wever, Hua Yuan, Wenyan Zhou, and Dan Zhu
Geosci. Model Dev., 11, 5027–5049, https://doi.org/10.5194/gmd-11-5027-2018, https://doi.org/10.5194/gmd-11-5027-2018, 2018
Short summary
Short summary
This paper provides an overview of a coordinated international experiment to determine the strengths and weaknesses in how climate models treat snow. The models will be assessed at point locations using high-quality reference measurements and globally using satellite-derived datasets. How well climate models simulate snow-related processes is important because changing snow cover is an important part of the global climate system and provides an important freshwater resource for human use.
Trung Nguyen-Quang, Jan Polcher, Agnès Ducharne, Thomas Arsouze, Xudong Zhou, Ana Schneider, and Lluís Fita
Geosci. Model Dev., 11, 4965–4985, https://doi.org/10.5194/gmd-11-4965-2018, https://doi.org/10.5194/gmd-11-4965-2018, 2018
Short summary
Short summary
This study presents a revised river routing scheme for the Organising Carbon and Hydrology in Dynamic Ecosystems (ORCHIDEE) land surface model. The revision is carried out to benefit from the high-resolution topography provided by the Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales (HydroSHEDS). We demonstrate that the finer description of the catchments allows for an improvement of the simulated river discharge of ORCHIDEE in an area with complex topography.
Ardalan Tootchi, Anne Jost, and Agnès Ducharne
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-48, https://doi.org/10.5194/hess-2018-48, 2018
Manuscript not accepted for further review
Short summary
Short summary
There is a massive disagreement between wetland extent estimates in literature (3 to 21 % of the land surface area). Some inundated wetlands could be detected using satellite imagery while non-inundated ones and those below vegetation are not easily detectedable. We mapped all wetlands, using both satellite data and geomorphological information, showing large wetland over boreal and tropical zones plus thousands of small oases in arid areas.
Matthieu Guimberteau, Dan Zhu, Fabienne Maignan, Ye Huang, Chao Yue, Sarah Dantec-Nédélec, Catherine Ottlé, Albert Jornet-Puig, Ana Bastos, Pierre Laurent, Daniel Goll, Simon Bowring, Jinfeng Chang, Bertrand Guenet, Marwa Tifafi, Shushi Peng, Gerhard Krinner, Agnès Ducharne, Fuxing Wang, Tao Wang, Xuhui Wang, Yilong Wang, Zun Yin, Ronny Lauerwald, Emilie Joetzjer, Chunjing Qiu, Hyungjun Kim, and Philippe Ciais
Geosci. Model Dev., 11, 121–163, https://doi.org/10.5194/gmd-11-121-2018, https://doi.org/10.5194/gmd-11-121-2018, 2018
Short summary
Short summary
Improved projections of future Arctic and boreal ecosystem transformation require improved land surface models that integrate processes specific to these cold biomes. To this end, this study lays out relevant new parameterizations in the ORCHIDEE-MICT land surface model. These describe the interactions between soil carbon, soil temperature and hydrology, and their resulting feedbacks on water and CO2 fluxes, in addition to a recently developed fire module.
Ronny Lauerwald, Pierre Regnier, Marta Camino-Serrano, Bertrand Guenet, Matthieu Guimberteau, Agnès Ducharne, Jan Polcher, and Philippe Ciais
Geosci. Model Dev., 10, 3821–3859, https://doi.org/10.5194/gmd-10-3821-2017, https://doi.org/10.5194/gmd-10-3821-2017, 2017
Short summary
Short summary
ORCHILEAK is a new branch of the terrestrial ecosystem model ORCHIDEE that represents dissolved organic carbon (DOC) production from canopy and soils, DOC and CO2 leaching from soils to streams, DOC decomposition, and CO2 evasion to the atmosphere during its lateral transport in rivers, as well as exchange with the soil carbon and litter stocks on floodplains and in swamps. We parameterized and validated ORCHILEAK for the Amazon basin.
Matthieu Guimberteau, Philippe Ciais, Agnès Ducharne, Juan Pablo Boisier, Ana Paula Dutra Aguiar, Hester Biemans, Hannes De Deurwaerder, David Galbraith, Bart Kruijt, Fanny Langerwisch, German Poveda, Anja Rammig, Daniel Andres Rodriguez, Graciela Tejada, Kirsten Thonicke, Celso Von Randow, Rita C. S. Von Randow, Ke Zhang, and Hans Verbeeck
Hydrol. Earth Syst. Sci., 21, 1455–1475, https://doi.org/10.5194/hess-21-1455-2017, https://doi.org/10.5194/hess-21-1455-2017, 2017
Jean-Philippe Vidal, Benoît Hingray, Claire Magand, Eric Sauquet, and Agnès Ducharne
Hydrol. Earth Syst. Sci., 20, 3651–3672, https://doi.org/10.5194/hess-20-3651-2016, https://doi.org/10.5194/hess-20-3651-2016, 2016
Short summary
Short summary
Possible transient futures of winter and summer low flows for two snow-influenced catchments in the southern French Alps show a strong decrease signal. It is however largely masked by the year-to-year variability, which should be the main target for defining adaptation strategies. Responses of different hydrological models strongly diverge in the future, suggesting to carefully check the robustness of evapotranspiration and snowpack components under a changing climate.
Bart van den Hurk, Hyungjun Kim, Gerhard Krinner, Sonia I. Seneviratne, Chris Derksen, Taikan Oki, Hervé Douville, Jeanne Colin, Agnès Ducharne, Frederique Cheruy, Nicholas Viovy, Michael J. Puma, Yoshihide Wada, Weiping Li, Binghao Jia, Andrea Alessandri, Dave M. Lawrence, Graham P. Weedon, Richard Ellis, Stefan Hagemann, Jiafu Mao, Mark G. Flanner, Matteo Zampieri, Stefano Materia, Rachel M. Law, and Justin Sheffield
Geosci. Model Dev., 9, 2809–2832, https://doi.org/10.5194/gmd-9-2809-2016, https://doi.org/10.5194/gmd-9-2809-2016, 2016
Short summary
Short summary
This manuscript describes the setup of the CMIP6 project Land Surface, Snow and Soil Moisture Model Intercomparison Project (LS3MIP).
A. M. Dolan, S. J. Hunter, D. J. Hill, A. M. Haywood, S. J. Koenig, B. L. Otto-Bliesner, A. Abe-Ouchi, F. Bragg, W.-L. Chan, M. A. Chandler, C. Contoux, A. Jost, Y. Kamae, G. Lohmann, D. J. Lunt, G. Ramstein, N. A. Rosenbloom, L. Sohl, C. Stepanek, H. Ueda, Q. Yan, and Z. Zhang
Clim. Past, 11, 403–424, https://doi.org/10.5194/cp-11-403-2015, https://doi.org/10.5194/cp-11-403-2015, 2015
Short summary
Short summary
Climate and ice sheet models are often used to predict the nature of ice sheets in Earth history. It is important to understand whether such predictions are consistent among different models, especially in warm periods of relevance to the future. We use input from 15 different climate models to run one ice sheet model and compare the predictions over Greenland. We find that there are large differences between the predicted ice sheets for the warm Pliocene (c. 3 million years ago).
P. Roudier, A. Ducharne, and L. Feyen
Hydrol. Earth Syst. Sci., 18, 2789–2801, https://doi.org/10.5194/hess-18-2789-2014, https://doi.org/10.5194/hess-18-2789-2014, 2014
M. Guimberteau, A. Ducharne, P. Ciais, J. P. Boisier, S. Peng, M. De Weirdt, and H. Verbeeck
Geosci. Model Dev., 7, 1115–1136, https://doi.org/10.5194/gmd-7-1115-2014, https://doi.org/10.5194/gmd-7-1115-2014, 2014
D. J. Hill, A. M. Haywood, D. J. Lunt, S. J. Hunter, F. J. Bragg, C. Contoux, C. Stepanek, L. Sohl, N. A. Rosenbloom, W.-L. Chan, Y. Kamae, Z. Zhang, A. Abe-Ouchi, M. A. Chandler, A. Jost, G. Lohmann, B. L. Otto-Bliesner, G. Ramstein, and H. Ueda
Clim. Past, 10, 79–90, https://doi.org/10.5194/cp-10-79-2014, https://doi.org/10.5194/cp-10-79-2014, 2014
R. Zhang, Q. Yan, Z. S. Zhang, D. Jiang, B. L. Otto-Bliesner, A. M. Haywood, D. J. Hill, A. M. Dolan, C. Stepanek, G. Lohmann, C. Contoux, F. Bragg, W.-L. Chan, M. A. Chandler, A. Jost, Y. Kamae, A. Abe-Ouchi, G. Ramstein, N. A. Rosenbloom, L. Sohl, and H. Ueda
Clim. Past, 9, 2085–2099, https://doi.org/10.5194/cp-9-2085-2013, https://doi.org/10.5194/cp-9-2085-2013, 2013
Z.-S. Zhang, K. H. Nisancioglu, M. A. Chandler, A. M. Haywood, B. L. Otto-Bliesner, G. Ramstein, C. Stepanek, A. Abe-Ouchi, W.-L. Chan, F. J. Bragg, C. Contoux, A. M. Dolan, D. J. Hill, A. Jost, Y. Kamae, G. Lohmann, D. J. Lunt, N. A. Rosenbloom, L. E. Sohl, and H. Ueda
Clim. Past, 9, 1495–1504, https://doi.org/10.5194/cp-9-1495-2013, https://doi.org/10.5194/cp-9-1495-2013, 2013
C. Contoux, A. Jost, G. Ramstein, P. Sepulchre, G. Krinner, and M. Schuster
Clim. Past, 9, 1417–1430, https://doi.org/10.5194/cp-9-1417-2013, https://doi.org/10.5194/cp-9-1417-2013, 2013
A. M. Haywood, D. J. Hill, A. M. Dolan, B. L. Otto-Bliesner, F. Bragg, W.-L. Chan, M. A. Chandler, C. Contoux, H. J. Dowsett, A. Jost, Y. Kamae, G. Lohmann, D. J. Lunt, A. Abe-Ouchi, S. J. Pickering, G. Ramstein, N. A. Rosenbloom, U. Salzmann, L. Sohl, C. Stepanek, H. Ueda, Q. Yan, and Z. Zhang
Clim. Past, 9, 191–209, https://doi.org/10.5194/cp-9-191-2013, https://doi.org/10.5194/cp-9-191-2013, 2013
Related subject area
Hydrology
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
An extensive spatiotemporal water quality dataset covering four decades (1980–2022) in China
Flood simulation with the RiverCure approach: the open dataset of the 2016 Águeda flood event
GloLakes: water storage dynamics for 27 000 lakes globally from 1984 to present derived from satellite altimetry and optical imaging
AltiMaP: altimetry mapping procedure for hydrography data
CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland
The use of GRDC gauging stations for calibrating large-scale hydrological models
A long-term dataset of simulated epilimnion and hypolimnion temperatures in 401 French lakes (1959–2020)
GTWS-MLrec: global terrestrial water storage reconstruction by machine learning from 1940 to present
A hydrogeomorphic dataset for characterizing catchment hydrological behavior across the Tibetan Plateau
A global 5 km monthly potential evapotranspiration dataset (1982–2015) estimated by the Shuttleworth–Wallace model
A gridded dataset of consumptive water footprints, evaporation, transpiration, and associated benchmarks related to crop production in China during 2000–2018
Simbi: historical hydro-meteorological time series and signatures for 24 catchments in Haiti
LamaH-Ice: LArge-SaMple Data for Hydrology and Environmental Sciences for Iceland
Hydro-PE: gridded datasets of historical and future Penman–Monteith potential evaporation for the United Kingdom
A global streamflow indices time series dataset for large-sample hydrological analyses on streamflow regime (until 2022)
Soil water retention and hydraulic conductivity measured in a wide saturation range
A high-frequency, long-term data set of hydrology and sediment yield: the alpine badland catchments of Draix-Bléone Observatory
Geospatial dataset for hydrologic analyses in India (GHI): a quality-controlled dataset on river gauges, catchment boundaries and hydrometeorological time series
Lake-TopoCat: a global lake drainage topology and catchment database
Three years of soil moisture observations by a dense cosmic-ray neutron sensing cluster at an agricultural research site in north-east Germany
CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data
A long-term monthly surface water storage dataset for the Congo basin from 1992 to 2015
A global database of historic glacier lake outburst floods
Past and future discharge and stream temperature at high spatial resolution in a large European basin (Loire basin, France)
Res-CN (Reservoir dataset in China): hydrometeorological time series and landscape attributes across 3254 Chinese reservoirs
An ensemble of 48 physically perturbed model estimates of the 1∕8° terrestrial water budget over the conterminous United States, 1980–2015
The UKSCAPE-G2G river flow and soil moisture datasets: Grid-to-Grid model estimates for the UK for historical and potential future climates
The enhanced future Flows and Groundwater dataset: development and evaluation of nationally consistent hydrological projections based on UKCP18
RC4USCoast: a river chemistry dataset for regional ocean model applications in the US East Coast, Gulf of Mexico, and US West Coast
Generation of global 1 km daily soil moisture product from 2000 to 2020 using ensemble learning
Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts
Twelve years of profile soil moisture and temperature measurements in Twente, the Netherlands
Shallow-groundwater-level time series and a groundwater chemistry survey from a boreal headwater catchment, Krycklan, Sweden
Weekly high-resolution multi-spectral and thermal uncrewed-aerial-system mapping of an alpine catchment during summer snowmelt, Niwot Ridge, Colorado
Nunataryuk field campaigns: understanding the origin and fate of terrestrial organic matter in the coastal waters of the Mackenzie Delta region
Integrated ecohydrological hydrometric and stable water isotope data of a drought-sensitive mixed land use lowland catchment
Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space
Lake surface temperature retrieved from Landsat satellite series (1984 to 2021) for the North Slave Region
Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data
Flood detection using Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage and extreme precipitation data
The pan-Arctic catchment database (ARCADE)
Multi-hazard susceptibility mapping of cryospheric hazards in a high-Arctic environment: Svalbard Archipelago
High-resolution water level and storage variation datasets for 338 reservoirs in China during 2010–2021
WaterBench-Iowa: a large-scale benchmark dataset for data-driven streamflow forecasting
A dataset of 10-year regional-scale soil moisture and soil temperature measurements at multiple depths on the Tibetan Plateau
OpenMRG: Open data from Microwave links, Radar, and Gauges for rainfall quantification in Gothenburg, Sweden
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.
Jingyu Lin, Peng Wang, Jinzhu Wang, Youping Zhou, Xudong Zhou, Pan Yang, Hao Zhang, Yanpeng Cai, and Zhifeng Yang
Earth Syst. Sci. Data, 16, 1137–1149, https://doi.org/10.5194/essd-16-1137-2024, https://doi.org/10.5194/essd-16-1137-2024, 2024
Short summary
Short summary
Our paper provides a repository comprising over 330 000 observations encompassing daily, weekly, and monthly records of surface water quality spanning the period 1980–2022. It included 18 distinct indicators, meticulously gathered at 2384 monitoring sites, ranging from inland locations to coastal and oceanic areas. This dataset will be very useful for researchers and decision-makers in the fields of hydrology, ecological studies, climate change, policy development, and oceanography.
Ana M. Ricardo, Rui M. L. Ferreira, Alberto Rodrigues da Silva, Jacinto Estima, Jorge Marques, Ivo Gamito, and Alexandre Serra
Earth Syst. Sci. Data, 16, 375–385, https://doi.org/10.5194/essd-16-375-2024, https://doi.org/10.5194/essd-16-375-2024, 2024
Short summary
Short summary
Floods are among the most common natural disasters responsible for severe damages and human losses. Agueda.2016Flood, a synthesis of locally sensed data and numerically produced data, allows complete characterization of the flood event that occurred in February 2016 in the Portuguese Águeda River. The dataset was managed through the RiverCure Portal, a collaborative web platform connected to a validated shallow-water model.
Jiawei Hou, Albert I. J. M. Van Dijk, Luigi J. Renzullo, and Pablo R. Larraondo
Earth Syst. Sci. Data, 16, 201–218, https://doi.org/10.5194/essd-16-201-2024, https://doi.org/10.5194/essd-16-201-2024, 2024
Short summary
Short summary
The GloLakes dataset provides historical and near-real-time time series of relative (i.e. storage change) and absolute (i.e. total stored volume) storage for more than 27 000 lakes worldwide using multiple sources of satellite data, including laser and radar altimetry and optical remote sensing. These data can help us understand the influence of climate variability and anthropogenic activities on water availability and system ecology over the last 4 decades.
Menaka Revel, Xudong Zhou, Prakat Modi, Jean-François Cretaux, Stephane Calmant, and Dai Yamazaki
Earth Syst. Sci. Data, 16, 75–88, https://doi.org/10.5194/essd-16-75-2024, https://doi.org/10.5194/essd-16-75-2024, 2024
Short summary
Short summary
As satellite technology advances, there is an incredible amount of remotely sensed data for observing terrestrial water. Satellite altimetry observations of water heights can be utilized to calibrate and validate large-scale hydrodynamic models. However, because large-scale models are discontinuous, comparing satellite altimetry to predicted water surface elevation is difficult. We developed a satellite altimetry mapping procedure for high-resolution river network data.
Marvin Höge, Martina Kauzlaric, Rosi Siber, Ursula Schönenberger, Pascal Horton, Jan Schwanbeck, Marius Günter Floriancic, Daniel Viviroli, Sibylle Wilhelm, Anna E. Sikorska-Senoner, Nans Addor, Manuela Brunner, Sandra Pool, Massimiliano Zappa, and Fabrizio Fenicia
Earth Syst. Sci. Data, 15, 5755–5784, https://doi.org/10.5194/essd-15-5755-2023, https://doi.org/10.5194/essd-15-5755-2023, 2023
Short summary
Short summary
CAMELS-CH is an open large-sample hydro-meteorological data set that covers 331 catchments in hydrologic Switzerland from 1 January 1981 to 31 December 2020. It comprises (a) daily data of river discharge and water level as well as meteorologic variables like precipitation and temperature; (b) yearly glacier and land cover data; (c) static attributes of, e.g, topography or human impact; and (d) catchment delineations. CAMELS-CH enables water and climate research and modeling at catchment level.
Peter Burek and Mikhail Smilovic
Earth Syst. Sci. Data, 15, 5617–5629, https://doi.org/10.5194/essd-15-5617-2023, https://doi.org/10.5194/essd-15-5617-2023, 2023
Short summary
Short summary
We address an annoying problem every grid-based hydrological model must solve to compare simulated and observed river discharge. First, station locations do not fit the high-resolution river network. We update the database with stations based on a new high-resolution network. Second, station locations do not work with a coarser grid-based network. We use a new basin shape similarity concept for station locations on a coarser grid, reducing the error of assigning stations to the wrong basin.
Najwa Sharaf, Jordi Prats, Nathalie Reynaud, Thierry Tormos, Rosalie Bruel, Tiphaine Peroux, and Pierre-Alain Danis
Earth Syst. Sci. Data, 15, 5631–5650, https://doi.org/10.5194/essd-15-5631-2023, https://doi.org/10.5194/essd-15-5631-2023, 2023
Short summary
Short summary
We present a regional long-term (1959–2020) dataset (LakeTSim) of daily epilimnion and hypolimnion water temperature simulations in 401 French lakes. Overall, less uncertainty is associated with the epilimnion compared to the hypolimnion. LakeTSim is valuable for providing new insights into lake water temperature for assessing the impact of climate change, which is often hindered by the lack of observations, and for decision-making by stakeholders.
Jiabo Yin, Louise J. Slater, Abdou Khouakhi, Le Yu, Pan Liu, Fupeng Li, Yadu Pokhrel, and Pierre Gentine
Earth Syst. Sci. Data, 15, 5597–5615, https://doi.org/10.5194/essd-15-5597-2023, https://doi.org/10.5194/essd-15-5597-2023, 2023
Short summary
Short summary
This study presents long-term (i.e., 1940–2022) and high-resolution (i.e., 0.25°) monthly time series of TWS anomalies over the global land surface. The reconstruction is achieved by using a set of machine learning models with a large number of predictors, including climatic and hydrological variables, land use/land cover data, and vegetation indicators (e.g., leaf area index). Our proposed GTWS-MLrec performs overall as well as, or is more reliable than, previous TWS datasets.
Yuhan Guo, Hongxing Zheng, Yuting Yang, Yanfang Sang, and Congcong Wen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-422, https://doi.org/10.5194/essd-2023-422, 2023
Revised manuscript accepted for ESSD
Short summary
Short summary
Our research has provided an inaugural version of the hydrogeomorphic dataset for catchments over the Tibetan Plateau. We first provide the 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.
Shanlei Sun, Zaoying Bi, Jingfeng Xiao, Yi Liu, Ge Sun, Weimin Ju, Chunwei Liu, Mengyuan Mu, Jinjian Li, Yang Zhou, Xiaoyuan Li, Yibo Liu, and Haishan Chen
Earth Syst. Sci. Data, 15, 4849–4876, https://doi.org/10.5194/essd-15-4849-2023, https://doi.org/10.5194/essd-15-4849-2023, 2023
Short summary
Short summary
Based on various existing datasets, we comprehensively considered spatiotemporal differences in land surfaces and CO2 effects on plant stomatal resistance to parameterize the Shuttleworth–Wallace model, and we generated a global 5 km ensemble mean monthly potential evapotranspiration (PET) dataset (including potential transpiration PT and soil evaporation PE) during 1982–2015. The new dataset may be used by academic communities and various agencies to conduct various studies.
Wei Wang, La Zhuo, Xiangxiang Ji, Zhiwei Yue, Zhibin Li, Meng Li, Huimin Zhang, Rong Gao, Chenjian Yan, Ping Zhang, and Pute Wu
Earth Syst. Sci. Data, 15, 4803–4827, https://doi.org/10.5194/essd-15-4803-2023, https://doi.org/10.5194/essd-15-4803-2023, 2023
Short summary
Short summary
The consumptive water footprint of crop production (WFCP) measures blue and green evapotranspiration of either irrigated or rainfed crops in time and space. A gridded monthly WFCP dataset for China is established. There are four improvements from existing datasets: (i) distinguishing water supply modes and irrigation techniques, (ii) distinguishing evaporation and transpiration, (iii) consisting of both total and unit WFCP, and (iv) providing benchmarks for unit WFCP by climatic zones.
Ralph Bathelemy, Pierre Brigode, Vazken Andréassian, Charles Perrin, Vincent Moron, Cédric Gaucherel, Emmanuel Tric, and Dominique Boisson
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-259, https://doi.org/10.5194/essd-2023-259, 2023
Revised manuscript accepted for ESSD
Short summary
Short summary
The aim of this work is to provide the first hydro-climatic database for Haiti, a Caribbean country particularly vulnerable to meteorological and hydrological hazards. The resulting database, named SIMBI, provides hydro-climatic time series for around 150 stations and 24 catchment areas.
Hordur Bragi Helgason and Bart Nijssen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-349, https://doi.org/10.5194/essd-2023-349, 2023
Revised manuscript accepted for ESSD
Short summary
Short summary
LamaH-Ice is a large-sample hydrology (LSH) dataset for Iceland. The dataset includes daily and hourly hydro-meteorological timeseries, including observed streamflow, and basin characteristics for 107 basins. LamaH-Ice offers most variables that are included in existing LSH datasets, as well as 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.
Emma L. Robinson, Matthew J. Brown, Alison L. Kay, Rosanna A. Lane, Rhian Chapman, Victoria A. Bell, and Eleanor M. Blyth
Earth Syst. Sci. Data, 15, 4433–4461, https://doi.org/10.5194/essd-15-4433-2023, https://doi.org/10.5194/essd-15-4433-2023, 2023
Short summary
Short summary
This work presents two new Penman–Monteith potential evaporation datasets for the UK, calculated with the same methodology applied to historical climate data (Hydro-PE HadUK-Grid) and an ensemble of future climate projections (Hydro-PE UKCP18 RCM). Both include an optional correction for evaporation of rain that lands on the surface of vegetation. The historical data are consistent with existing PE datasets, and the future projections include effects of rising atmospheric CO2 on vegetation.
Xinyu Chen, Liguang Jiang, Yuning Luo, and Junguo Liu
Earth Syst. Sci. Data, 15, 4463–4479, https://doi.org/10.5194/essd-15-4463-2023, https://doi.org/10.5194/essd-15-4463-2023, 2023
Short summary
Short summary
River flow is experiencing changes under the impacts of climate change and human activities. For example, flood events are occurring more often and are more destructive in many places worldwide. To deal with such issues, hydrologists endeavor to understand the features of extreme events as well as other hydrological changes. One key approach is analyzing flow characteristics, represented by hydrological indices. Building such a comprehensive global large-sample dataset is essential.
Tobias L. Hohenbrink, Conrad Jackisch, Wolfgang Durner, Kai Germer, Sascha C. Iden, Janis Kreiselmeier, Frederic Leuther, Johanna C. Metzger, Mahyar Naseri, and Andre Peters
Earth Syst. Sci. Data, 15, 4417–4432, https://doi.org/10.5194/essd-15-4417-2023, https://doi.org/10.5194/essd-15-4417-2023, 2023
Short summary
Short summary
The article describes a collection of 572 data sets of soil water retention and unsaturated hydraulic conductivity data measured with state-of-the-art laboratory methods. Furthermore, the data collection contains basic soil properties such as soil texture and organic carbon content. We expect that the data will be useful for various important purposes, for example, the development of soil hydraulic property models and related pedotransfer functions.
Sebastien Klotz, Caroline Le Bouteiller, Nicolle Mathys, Firmin Fontaine, Xavier Ravanat, Jean-Emmanuel Olivier, Frédéric Liébault, Hugo Jantzi, Patrick Coulmeau, Didier Richard, Jean-Pierre Cambon, and Maurice Meunier
Earth Syst. Sci. Data, 15, 4371–4388, https://doi.org/10.5194/essd-15-4371-2023, https://doi.org/10.5194/essd-15-4371-2023, 2023
Short summary
Short summary
Mountain badlands are places of intense erosion. They deliver large amounts of sediment to river systems, with consequences for hydropower sustainability, habitat quality and biodiversity, and flood hazard and river management. Draix-Bleone Observatory was created in 1983 to understand and quantify sediment delivery from such badland areas. Our paper describes how water and sediment fluxes have been monitored for almost 40 years in the small mountain catchments of this observatory.
Gopi Goteti
Earth Syst. Sci. Data, 15, 4389–4415, https://doi.org/10.5194/essd-15-4389-2023, https://doi.org/10.5194/essd-15-4389-2023, 2023
Short summary
Short summary
Data on river gauging stations, river basin boundaries and river flow paths are critical for hydrological analyses, but existing data for India's river basins have limited availability and reliability. This work fills the gap by building a new dataset. Data for 645 stations in 15 basins of India were compiled and checked against global data sources; data were supplemented with additional information where needed. This dataset will serve as a reliable building block in hydrological analyses.
Md Safat Sikder, Jida Wang, George H. Allen, Yongwei Sheng, Dai Yamazaki, Chunqiao Song, Meng Ding, Jean-François Crétaux, and Tamlin M. Pavelsky
Earth Syst. Sci. Data, 15, 3483–3511, https://doi.org/10.5194/essd-15-3483-2023, https://doi.org/10.5194/essd-15-3483-2023, 2023
Short summary
Short summary
We introduce Lake-TopoCat to reveal detailed lake hydrography information. It contains the location of lake outlets, the boundary of lake catchments, and a wide suite of attributes that depict detailed lake drainage relationships. It was constructed using lake boundaries from a global lake dataset, with the help of high-resolution hydrography data. This database may facilitate a variety of applications including water quality, agriculture and fisheries, and integrated lake–river modeling.
Maik Heistermann, Till Francke, Lena Scheiffele, Katya Dimitrova Petrova, Christian Budach, Martin Schrön, Benjamin Trost, Daniel Rasche, Andreas Güntner, Veronika Döpper, Michael Förster, Markus Köhli, Lisa Angermann, Nikolaos Antonoglou, Manuela Zude-Sasse, and Sascha E. Oswald
Earth Syst. Sci. Data, 15, 3243–3262, https://doi.org/10.5194/essd-15-3243-2023, https://doi.org/10.5194/essd-15-3243-2023, 2023
Short summary
Short summary
Cosmic-ray neutron sensing (CRNS) allows for the non-invasive estimation of root-zone soil water content (SWC). The signal observed by a single CRNS sensor is influenced by the SWC in a radius of around 150 m (the footprint). Here, we have put together a cluster of eight CRNS sensors with overlapping footprints at an agricultural research site in north-east Germany. That way, we hope to represent spatial SWC heterogeneity instead of retrieving just one average SWC estimate from a single sensor.
Changming Li, Ziwei Liu, Wencong Yang, Zhuoyi Tu, Juntai Han, Sien Li, and Hanbo Yang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-226, https://doi.org/10.5194/essd-2023-226, 2023
Revised manuscript accepted for ESSD
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.
Benjamin M. Kitambo, Fabrice Papa, Adrien Paris, Raphael M. Tshimanga, Frederic Frappart, Stephane Calmant, Omid Elmi, Ayan Santos Fleischmann, Melanie Becker, Mohammad J. Tourian, Rômulo A. Jucá Oliveira, and Sly Wongchuig
Earth Syst. Sci. Data, 15, 2957–2982, https://doi.org/10.5194/essd-15-2957-2023, https://doi.org/10.5194/essd-15-2957-2023, 2023
Short summary
Short summary
The surface water storage (SWS) in the Congo River basin (CB) remains unknown. In this study, the multi-satellite and hypsometric curve approaches are used to estimate SWS in the CB over 1992–2015. The results provide monthly SWS characterized by strong variability with an annual mean amplitude of ~101 ± 23 km3. The evaluation of SWS against independent datasets performed well. This SWS dataset contributes to the better understanding of the Congo basin’s surface hydrology using remote sensing.
Natalie Lützow, Georg Veh, and Oliver Korup
Earth Syst. Sci. Data, 15, 2983–3000, https://doi.org/10.5194/essd-15-2983-2023, https://doi.org/10.5194/essd-15-2983-2023, 2023
Short summary
Short summary
Glacier lake outburst floods (GLOFs) are a prominent natural hazard, and climate change may change their magnitude, frequency, and impacts. A global, literature-based GLOF inventory is introduced, entailing 3151 reported GLOFs. The reporting density varies temporally and regionally, with most cases occurring in NW North America. Since 1900, the number of yearly documented GLOFs has increased 6-fold. However, many GLOFs have incomplete records, and we call for a systematic reporting protocol.
Hanieh Seyedhashemi, Florentina Moatar, Jean-Philippe Vidal, and Dominique Thiéry
Earth Syst. Sci. Data, 15, 2827–2839, https://doi.org/10.5194/essd-15-2827-2023, https://doi.org/10.5194/essd-15-2827-2023, 2023
Short summary
Short summary
This paper presents a past and future dataset of daily time series of discharge and stream temperature for 52 278 reaches over the Loire River basin (100 000 km2) in France, using thermal and hydrological models. Past data are provided over 1963–2019. Future data are available over the 1976–2100 period under different future climate change models (warm and wet, intermediate, and hot and dry) and scenarios (optimistic, intermediate, and pessimistic).
Youjiang Shen, Karina Nielsen, Menaka Revel, Dedi Liu, and Dai Yamazaki
Earth Syst. Sci. Data, 15, 2781–2808, https://doi.org/10.5194/essd-15-2781-2023, https://doi.org/10.5194/essd-15-2781-2023, 2023
Short summary
Short summary
Res-CN fills a gap in a comprehensive and extensive dataset of reservoir-catchment characteristics for 3254 Chinese reservoirs with 512 catchment-level attributes and significantly enhanced spatial and temporal coverage (e.g., 67 % increase in water level and 225 % in storage anomaly) of time series of reservoir water level (data available for 20 % of 3254 reservoirs), water area (99 %), storage anomaly (92 %), and evaporation (98 %), supporting a wide range of applications and disciplines.
Hui Zheng, Wenli Fei, Zong-Liang Yang, Jiangfeng Wei, Long Zhao, Lingcheng Li, and Shu Wang
Earth Syst. Sci. Data, 15, 2755–2780, https://doi.org/10.5194/essd-15-2755-2023, https://doi.org/10.5194/essd-15-2755-2023, 2023
Short summary
Short summary
An ensemble of evapotranspiration, runoff, and water storage is estimated here using the Noah-MP land surface model by perturbing model parameterization schemes. The data could be beneficial for monitoring and understanding the variability of water resources. Model developers could also gain insights by intercomparing the ensemble members.
Alison L. Kay, Victoria A. Bell, Helen N. Davies, Rosanna A. Lane, and Alison C. Rudd
Earth Syst. Sci. Data, 15, 2533–2546, https://doi.org/10.5194/essd-15-2533-2023, https://doi.org/10.5194/essd-15-2533-2023, 2023
Short summary
Short summary
Climate change will affect the water cycle, including river flows and soil moisture. We have used both observational data (1980–2011) and the latest UK climate projections (1980–2080) to drive a national-scale grid-based hydrological model. The data, covering Great Britain and Northern Ireland, suggest potential future decreases in summer flows, low flows, and summer/autumn soil moisture, and possible future increases in winter and high flows. Society must plan how to adapt to such impacts.
Jamie Hannaford, Jonathan D. Mackay, Matthew Ascott, Victoria A. Bell, Thomas Chitson, Steven Cole, Christian Counsell, Mason Durant, Christopher R. Jackson, Alison L. Kay, Rosanna A. Lane, Majdi Mansour, Robert Moore, Simon Parry, Alison C. Rudd, Michael Simpson, Katie Facer-Childs, Stephen Turner, John R. Wallbank, Steven Wells, and Amy Wilcox
Earth Syst. Sci. Data, 15, 2391–2415, https://doi.org/10.5194/essd-15-2391-2023, https://doi.org/10.5194/essd-15-2391-2023, 2023
Short summary
Short summary
The eFLaG dataset is a nationally consistent set of projections of future climate change impacts on hydrology. eFLaG uses the latest available UK climate projections (UKCP18) run through a series of computer simulation models which enable us to produce future projections of river flows, groundwater levels and groundwater recharge. These simulations are designed for use by water resource planners and managers but could also be used for a wide range of other purposes.
Fabian A. Gomez, Sang-Ki Lee, Charles A. Stock, Andrew C. Ross, Laure Resplandy, Samantha A. Siedlecki, Filippos Tagklis, and Joseph E. Salisbury
Earth Syst. Sci. Data, 15, 2223–2234, https://doi.org/10.5194/essd-15-2223-2023, https://doi.org/10.5194/essd-15-2223-2023, 2023
Short summary
Short summary
We present a river chemistry and discharge dataset for 140 rivers in the United States, which integrates information from the Water Quality Database of the US Geological Survey (USGS), the USGS’s Surface-Water Monthly Statistics for the Nation, and the U.S. Army Corps of Engineers. This dataset includes dissolved inorganic carbon and alkalinity, two key properties to characterize the carbonate system, as well as nutrient concentrations, such as nitrate, phosphate, and silica.
Yufang Zhang, Shunlin Liang, Han Ma, Tao He, Qian Wang, Bing Li, Jianglei Xu, Guodong Zhang, Xiaobang Liu, and Changhao Xiong
Earth Syst. Sci. Data, 15, 2055–2079, https://doi.org/10.5194/essd-15-2055-2023, https://doi.org/10.5194/essd-15-2055-2023, 2023
Short summary
Short summary
Soil moisture observations are important for a range of earth system applications. This study generated a long-term (2000–2020) global seamless soil moisture product with both high spatial and temporal resolutions (1 km, daily) using an XGBoost model and multisource datasets. Evaluation of this product against dense in situ soil moisture datasets and microwave soil moisture products showed that this product has reliable accuracy and more complete spatial coverage.
Heidi Kreibich, Kai Schröter, Giuliano Di Baldassarre, Anne F. Van Loon, Maurizio Mazzoleni, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, Camila Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H. Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Yus Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley Carlson, Yonca Cavus, Anaïs Couasnon, Gemma Coxon, Ioannis Daliakopoulos, Marleen C. de Ruiter, Claire Delus, Mathilde Erfurt, Giuseppe Esposito, Didier François, Frédéric Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego A. Guzmán, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado-Casimiro, Hong-Yi Li, Maria Carmen LLasat, David Macdonald, Johanna Mård, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Eduardo Mario Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo-Duc, Huynh Thi Thao Nguyen, Pham Thi Thao Nhi, Olga Petrucci, Nguyen Hong Quan, Pere Quintana-Seguí, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md Shibly Sadik, Nivedita Sairam, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Sörensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalińska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, Marjolein H. J. van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano-Bigiarini, and Philip J. Ward
Earth Syst. Sci. Data, 15, 2009–2023, https://doi.org/10.5194/essd-15-2009-2023, https://doi.org/10.5194/essd-15-2009-2023, 2023
Short summary
Short summary
As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management. We present a dataset containing data of paired events, i.e. two floods or two droughts that occurred in the same area. The dataset enables comparative analyses and allows detailed context-specific assessments. Additionally, it supports the testing of socio-hydrological models.
Rogier van der Velde, Harm-Jan F. Benninga, Bas Retsios, Paul C. Vermunt, and M. Suhyb Salama
Earth Syst. Sci. Data, 15, 1889–1910, https://doi.org/10.5194/essd-15-1889-2023, https://doi.org/10.5194/essd-15-1889-2023, 2023
Short summary
Short summary
From 2009, a network of 20 profile soil moisture and temperature monitoring stations has been operational in the Twente region, east of the Netherlands. In addition, field campaigns have been conducted covering four growing seasons during which soil moisture was measured near 12 monitoring stations. We describe the monitoring network and field campaigns, and we provide an overview of open third-party datasets that may support the use of the Twente datasets.
Jana Erdbrügger, Ilja van Meerveld, Jan Seibert, and Kevin Bishop
Earth Syst. Sci. Data, 15, 1779–1800, https://doi.org/10.5194/essd-15-1779-2023, https://doi.org/10.5194/essd-15-1779-2023, 2023
Short summary
Short summary
Groundwater can respond quickly to precipitation and is the main source of streamflow in most catchments in humid, temperate climates. To better understand shallow groundwater dynamics, we installed a network of groundwater wells in two boreal headwater catchments in Sweden. We recorded groundwater levels in 75 wells for 2 years and sampled the water and analyzed its chemical composition in one summer. This paper describes these datasets.
Oliver Wigmore and Noah P. Molotch
Earth Syst. Sci. Data, 15, 1733–1747, https://doi.org/10.5194/essd-15-1733-2023, https://doi.org/10.5194/essd-15-1733-2023, 2023
Short summary
Short summary
We flew a custom-built drone fitted with visible, near-infrared and thermal cameras every week over a summer season at Niwot Ridge in Colorado's alpine tundra. We processed these images into seamless orthomosaics that record changes in snow cover, vegetation health and the movement of water over the land surface. These novel datasets provide a unique centimetre resolution snapshot of ecohydrologic processes, connectivity and spatial and temporal heterogeneity in the alpine zone.
Martine Lizotte, Bennet Juhls, Atsushi Matsuoka, Philippe Massicotte, Gaëlle Mével, David Obie James Anikina, Sofia Antonova, Guislain Bécu, Marine Béguin, Simon Bélanger, Thomas Bossé-Demers, Lisa Bröder, Flavienne Bruyant, Gwénaëlle Chaillou, Jérôme Comte, Raoul-Marie Couture, Emmanuel Devred, Gabrièle Deslongchamps, Thibaud Dezutter, Miles Dillon, David Doxaran, Aude Flamand, Frank Fell, Joannie Ferland, Marie-Hélène Forget, Michael Fritz, Thomas J. Gordon, Caroline Guilmette, Andrea Hilborn, Rachel Hussherr, Charlotte Irish, Fabien Joux, Lauren Kipp, Audrey Laberge-Carignan, Hugues Lantuit, Edouard Leymarie, Antonio Mannino, Juliette Maury, Paul Overduin, Laurent Oziel, Colin Stedmon, Crystal Thomas, Lucas Tisserand, Jean-Éric Tremblay, Jorien Vonk, Dustin Whalen, and Marcel Babin
Earth Syst. Sci. Data, 15, 1617–1653, https://doi.org/10.5194/essd-15-1617-2023, https://doi.org/10.5194/essd-15-1617-2023, 2023
Short summary
Short summary
Permafrost thaw in the Mackenzie Delta region results in the release of organic matter into the coastal marine environment. What happens to this carbon-rich organic matter as it transits along the fresh to salty aquatic environments is still underdocumented. Four expeditions were conducted from April to September 2019 in the coastal area of the Beaufort Sea to study the fate of organic matter. This paper describes a rich set of data characterizing the composition and sources of organic matter.
Doerthe Tetzlaff, Aaron Smith, Lukas Kleine, Hauke Daempfling, Jonas Freymueller, and Chris Soulsby
Earth Syst. Sci. Data, 15, 1543–1554, https://doi.org/10.5194/essd-15-1543-2023, https://doi.org/10.5194/essd-15-1543-2023, 2023
Short summary
Short summary
We present a comprehensive set of ecohydrological hydrometric and stable water isotope data of 2 years of data. The data set is unique as the different compartments of the landscape were sampled and the effects of a prolonged drought (2018–2020) captured by a marked negative rainfall anomaly (the most severe regional drought of the 21st century). Thus, the data allow the drought effects on water storage, flux and age dynamics, and persistence of lowland landscapes to be investigated.
Jacopo Dari, Luca Brocca, Sara Modanesi, Christian Massari, Angelica Tarpanelli, Silvia Barbetta, Raphael Quast, Mariette Vreugdenhil, Vahid Freeman, Anaïs Barella-Ortiz, Pere Quintana-Seguí, David Bretreger, and Espen Volden
Earth Syst. Sci. Data, 15, 1555–1575, https://doi.org/10.5194/essd-15-1555-2023, https://doi.org/10.5194/essd-15-1555-2023, 2023
Short summary
Short summary
Irrigation is the main source of global freshwater consumption. Despite this, a detailed knowledge of irrigation dynamics (i.e., timing, extent of irrigated areas, and amounts of water used) are generally lacking worldwide. Satellites represent a useful tool to fill this knowledge gap and monitor irrigation water from space. In this study, three regional-scale and high-resolution (1 and 6 km) products of irrigation amounts estimated by inverting the satellite soil moisture signals are presented.
Gifty Attiah, Homa Kheyrollah Pour, and K. Andrea Scott
Earth Syst. Sci. Data, 15, 1329–1355, https://doi.org/10.5194/essd-15-1329-2023, https://doi.org/10.5194/essd-15-1329-2023, 2023
Short summary
Short summary
Lake surface temperature (LST) is a significant indicator of climate change and influences local weather and climate. This study developed a LST dataset retrieved from Landsat archives for 535 lakes across the North Slave Region, NWT, Canada. The data consist of individual NetCDF files for all observed days for each lake. The North Slave LST dataset will provide communities, scientists, and stakeholders with the changing spatiotemporal trends of LST for the past 38 years (1984–2021).
Aolin Jia, Shunlin Liang, Dongdong Wang, Lei Ma, Zhihao Wang, and Shuo Xu
Earth Syst. Sci. Data, 15, 869–895, https://doi.org/10.5194/essd-15-869-2023, https://doi.org/10.5194/essd-15-869-2023, 2023
Short summary
Short summary
Satellites are now producing multiple global land surface temperature (LST) products; however, they suffer from data gaps caused by cloud cover, seriously restricting the applications, and few products provide gap-free global hourly LST. We produced global hourly, 5 km, all-sky LST data from 2011 to 2021 using geostationary and polar-orbiting satellite data. Based on the assessment, it has high accuracy and can be used to estimate evapotranspiration, drought, etc.
Jianxin Zhang, Kai Liu, and Ming Wang
Earth Syst. Sci. Data, 15, 521–540, https://doi.org/10.5194/essd-15-521-2023, https://doi.org/10.5194/essd-15-521-2023, 2023
Short summary
Short summary
This study successfully extracted global flood days based on gravity satellite and precipitation data between 60° S and 60° N from 1 April 2002 to 31 August 2016. Our flood days data performed well compared with current available observations. This provides an important data foundation for analyzing the spatiotemporal distribution of large-scale floods and exploring the impact of ocean–atmosphere oscillations on floods in different regions.
Niek Jesse Speetjens, Gustaf Hugelius, Thomas Gumbricht, Hugues Lantuit, Wouter R. Berghuijs, Philip A. Pika, Amanda Poste, and Jorien E. Vonk
Earth Syst. Sci. Data, 15, 541–554, https://doi.org/10.5194/essd-15-541-2023, https://doi.org/10.5194/essd-15-541-2023, 2023
Short summary
Short summary
The Arctic is rapidly changing. Outside the Arctic, large databases changed how researchers look at river systems and land-to-ocean processes. We present the first integrated pan-ARctic CAtchments summary DatabasE (ARCADE) (> 40 000 river catchments draining into the Arctic Ocean). It incorporates information about the drainage area with 103 geospatial, environmental, climatic, and physiographic properties and covers small watersheds , which are especially subject to change, at a high resolution
Ionut Cristi Nicu, Letizia Elia, Lena Rubensdotter, Hakan Tanyaş, and Luigi Lombardo
Earth Syst. Sci. Data, 15, 447–464, https://doi.org/10.5194/essd-15-447-2023, https://doi.org/10.5194/essd-15-447-2023, 2023
Short summary
Short summary
Thaw slumps and thermo-erosion gullies are cryospheric hazards that are widely encountered in Nordenskiöld Land, the largest and most compact ice-free area of the Svalbard Archipelago. By statistically analysing the landscape characteristics of locations where these processes occurred, we can estimate where they may occur in the future. We mapped 562 thaw slumps and 908 thermo-erosion gullies and used them to create the first multi-hazard susceptibility map in a high-Arctic environment.
Youjiang Shen, Dedi Liu, Liguang Jiang, Karina Nielsen, Jiabo Yin, Jun Liu, and Peter Bauer-Gottwein
Earth Syst. Sci. Data, 14, 5671–5694, https://doi.org/10.5194/essd-14-5671-2022, https://doi.org/10.5194/essd-14-5671-2022, 2022
Short summary
Short summary
A data gap of 338 Chinese reservoirs with their surface water area (SWA), water surface elevation (WSE), and reservoir water storage change (RWSC) during 2010–2021. Validation against the in situ observations of 93 reservoirs indicates the relatively high accuracy and reliability of the datasets. The unique and novel remotely sensed dataset would benefit studies involving many aspects (e.g., hydrological models, water resources related studies, and more).
Ibrahim Demir, Zhongrun Xiang, Bekir Demiray, and Muhammed Sit
Earth Syst. Sci. Data, 14, 5605–5616, https://doi.org/10.5194/essd-14-5605-2022, https://doi.org/10.5194/essd-14-5605-2022, 2022
Short summary
Short summary
We provide a large benchmark dataset, WaterBench-Iowa, with valuable features for hydrological modeling. This dataset is designed to support cutting-edge deep learning studies for a more accurate streamflow forecast model. We also propose a modeling task for comparative model studies and provide sample models with codes and results as the benchmark for reference. This makes up for the lack of benchmarks in earth science research.
Pei Zhang, Donghai Zheng, Rogier van der Velde, Jun Wen, Yaoming Ma, Yijian Zeng, Xin Wang, Zuoliang Wang, Jiali Chen, and Zhongbo Su
Earth Syst. Sci. Data, 14, 5513–5542, https://doi.org/10.5194/essd-14-5513-2022, https://doi.org/10.5194/essd-14-5513-2022, 2022
Short summary
Short summary
Soil moisture and soil temperature (SMST) are important state variables for quantifying the heat–water exchange between land and atmosphere. Yet, long-term, regional-scale in situ SMST measurements at multiple depths are scarce on the Tibetan Plateau (TP). The presented dataset would be valuable for the evaluation and improvement of long-term satellite- and model-based SMST products on the TP, enhancing the understanding of TP hydrometeorological processes and their response to climate change.
Jafet C. M. Andersson, Jonas Olsson, Remco (C. Z.) van de Beek, and Jonas Hansryd
Earth Syst. Sci. Data, 14, 5411–5426, https://doi.org/10.5194/essd-14-5411-2022, https://doi.org/10.5194/essd-14-5411-2022, 2022
Short summary
Short summary
This article presents data from three types of sensors for rain measurement, i.e. commercial microwave links (CMLs), gauges, and weather radar. Access to CML data is typically restricted, which limits research and applications. We openly share a large CML database (364 CMLs at 10 s resolution with true coordinates), along with 11 gauges and one radar composite. This opens up new opportunities to study CMLs, to benchmark algorithms, and to investigate how multiple sensors can best be combined.
Cited articles
Adam, L., Döll, P., Prigent, C., and Papa, F.: Global-scale analysis of
satellite-derived time series of naturally inundated areas as a basis for
floodplain modeling, Adv. Geosci., 27, 45–50,
https://doi.org/10.5194/adgeo-27-45-2010, 2010.
Aires, F., Miolane, L., Prigent, C., Pham, B., Fluet-Chouinard, E., Lehner,
B., and Papa, F.: A Global Dynamic Long-Term Inundation Extent Dataset at
High Spatial Resolution Derived through Downscaling of Satellite
Observations, J. Hydrometeorol., 18, 1305–1325, https://doi.org/10.1175/JHM-D-16-0155.1,
2017.
Bartholomé, E. and Belward, A. S.: GLC2000?: a new approach to global
land cover mapping from Earth observation data, Int. J. Remote Sens., 26,
1959–1977, https://doi.org/10.1080/01431160412331291297, 2005.
Berthier, L., Bardy, M., Chenu, J., Guzmova, L., Laroche, B., Lehmann, S.,
Lemercier, B., Martin, M., Mérot, P., Squividant, H., Thiry, E., and
Walter, C.: Enveloppes des milieux potentiellement humides de la France
métropolitaine – notice d'accompagnement, available at:
http://geowww.agrocampus-ouest.fr/metadata/pdf/Notice_MPH_France.pdf
(last access: January 2019), 2014.
Beven, K. J. and Kirkby, M. J.: Physically based, variable contibution area
model of basin hydrology, Hydrol. Sci. Bull., 24, 43–69,
https://doi.org/10.1080/02626667909491834, 1979.
Bierkens, M. F. P. and van den Hurk, B. J. J. M.: Groundwater convergence as
a possible mechanism for multi-year persistence in rainfall, Geophys. Res.
Lett., 34, 1–5, https://doi.org/10.1029/2006GL028396, 2007.
Billen, G. and Garnier, J.: Nitrogen transfers through the Seine drainage
network?: a budget based on the application of the “ Riverstrahler ” model,
in: Man and River Systems, Springer Netherlands, 139–150, 1999.
Collins, W. J., Bellouin, N., Doutriaux-Boucher, M., Gedney, N., Halloran,
P., Hinton, T., Hughes, J., Jones, C. D., Joshi, M., Liddicoat, S., Martin,
G., O'Connor, F., Rae, J., Senior, C., Sitch, S., Totterdell, I., Wiltshire,
A., and Woodward, S.: Development and evaluation of an Earth-System model –
HadGEM2, Geosci. Model Dev., 4, 1051–1075,
https://doi.org/10.5194/gmd-4-1051-2011, 2011.
Constance, E., Lauchlan, H., Mark, W., Szalay, D., and Ferenc, A.: Plant
community establishment in a restored wetland?: Effects of soil removal,
Appl. Veg. Sci., 10, 383–390, 2007.
Curie, F., Gaillard, S., Ducharne, A., and Bendjoudi, H.: Geomorphological
methods to characterise wetlands at the scale of the Seine watershed, Sci.
Total Environ., 375, 59–68, https://doi.org/10.1016/j.scitotenv.2006.12.013, 2007.
Curie, F., Ducharne, A., Bendjoudi, H., and Billen, G.: Spatialization of
denitrification by river corridors in regional-scale watersheds?: Case study
of the Seine river basin, Phys. Chem. Earth, 36, 530–538,
https://doi.org/10.1016/j.pce.2009.02.004, 2011.
de Graaf, I. E. M., Sutanudjaja, E. H., van Beek, L. P. H., and Bierkens, M.
F. P.: A high-resolution global-scale groundwater model, Hydrol. Earth Syst.
Sci., 19, 823–837, https://doi.org/10.5194/hess-19-823-2015, 2015.
Dhote, S. and Dixit, S.: Water quality improvement through macrophytes – a
review, Environ. Monit. Assess., 152, 149–153,
https://doi.org/10.1007/s10661-008-0303-9, 2009.
Döll, P. and Fiedler, K.: Global-scale modeling of groundwater recharge,
Hydrol. Earth Syst. Sci., 12, 863–885,
https://doi.org/10.5194/hess-12-863-2008, 2008.
Ducharne, A.: Reducing scale dependence in TOPMODEL using a dimensionless
topographic index, Hydrol. Earth Syst. Sci., 13, 2399–2412,
https://doi.org/10.5194/hess-13-2399-2009, 2009.
Ducharne, A., Ottlé, C., Maignan, F., Vuichard, N., Ghattas, J., Wang,
F., Peylin, P., Polcher, P., Guimberteau, M., Maugis, P., Tafasca, S.,
Tootchi, A., Verhoef, A., and Mizuachi, H.: The hydrol module of ORCHIDEE:
scientific documentation, Online technical note, 47 pp., available at:
http://forge.ipsl.jussieu.fr/orchidee/raw-attachment/wiki/Documentation/UserGuide/eqs_hydrol.pdf
(last access: January 2019), 2017.
Fan, Y. and Miguez-Macho, G.: A simple hydrologic framework for simulating
wetlands in climate and earth system models, Clim. Dynam., 37, 253–278,
https://doi.org/10.1007/s00382-010-0829-8, 2011.
Fan, Y., Li, H., and Miguez-Macho, G.: Global Patterns of Groundwater Table
Depth, Science, 339, 940–943, https://doi.org/10.1126/science.1229881, 2013.
Fan, Y., Miguez-Macho, G., Jobbágy, E. G., Jackson, R. B., and
Otero-Casal, C.: Hydrologic regulation of plant rooting depth, P. Natl. Acad.
Sci. USA, 114, 10572–10577, https://doi.org/10.1073/pnas.1712381114, 2017.
Feng, M., Sexton, J. O., Channan, S., and Townshend, J. R.: A global,
high-resolution (30-m) inland water body dataset for 2000: first results of a
topographic–spectral classification algorithm, Int. J. Digit. Earth, 8947,
1–21, https://doi.org/10.1080/17538947.2015.1026420, 2015.
Finlayson, C. M., Davidson, N. C., Spiers, A. G., and Stevenson, N. J.:
Global wetland inventory – current status and future priorities, Mar.
Freshw. Res., 50, 717, https://doi.org/10.1071/MF99098, 1999.
Fluet-Chouinard, E., Lehner, B., Rebelo, L. M., Papa, F., and Hamilton, S.
K.: Development of a global inundation map at high spatial resolution from
topographic downscaling of coarse-scale remote sensing data, Remote Sens.
Environ., 158, 348–361, https://doi.org/10.1016/j.rse.2014.10.015, 2015.
Friedl, M. A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N.,
Sibley, A., and Huang, X.: MODIS Collection 5 global land cover: Algorithm
refinements and characterization of new datasets, Remote Sens. Environ., 114,
168–182, https://doi.org/10.1016/j.rse.2009.08.016, 2010.
Fritz, S. and See, L.: Comparison of land cover maps using fuzzy agreement,
Int. J. Geogr. Inf. Sci., 19, 787–807, https://doi.org/10.1080/13658810500072020, 2005.
Gedney, N. and Cox, P. M.: The Sensitivity of Global Climate Model
Simulations to the Representation of Soil Moisture Heterogeneity, J.
Hydrometeorol., 4, 1265–1275,
https://doi.org/10.1175/1525-7541(2003)004<1265:TSOGCM>2.0.CO;2, 2003.
Gleeson, T., Smith, L., Moosdorf, N., Hartmann, J., Dürr, H. H., Manning,
A. H., Van Beek, L. P. H., and Jellinek, A. M.: Mapping permeability over the
surface of the Earth, Geophys. Res. Lett., 38, 1–6,
https://doi.org/10.1029/2010GL045565, 2011.
Gleeson, T., Moosdorf, N., Hartmann, J., and van Beek, L. P. H.: A glimpse
beneath earth's surface: GLobal HYdrogeology MaPS (GLHYMPS) of permeability
and porosity, Geophys. Res. Lett., 41, 3891–3898, 2014.
Grippa, M., Mognard, N., and Le Toan, T.: Comparison between the interannual
variability of snow parameters derived from SSM/I and the Ob river discharge,
Remote Sens. Environ., 98, 35–44, https://doi.org/10.1016/j.rse.2005.06.001, 2005.
Gruber, S.: Derivation and analysis of a high-resolution estimate of global
permafrost zonation, The Cryosphere, 6, 221–233,
https://doi.org/10.5194/tc-6-221-2012, 2012.
Gumbricht, T., Roman-Cuesta, R. M., Verchot, L., Herold, M., Wittmann, F.,
Householder, E., Herold, N., and Murdiyarso, D.: An expert system model for
mapping tropical wetlands and peatlands reveals South America as the largest
contributor, Glob. Change Biol., 23, 3581–3599, https://doi.org/10.1111/gcb.13689, 2017.
Gurtz, J., Baltensweiler, A., and Lang, H.: Spatially distributed
hydrotope-based modelling of evapotranspiration and runoff in mountainous
basins, Hydrol. Process., 13, 2751–2768, 1999.
Hamilton, J. D., Kelly, C. A., Rudd, J. W. M., Hesslein, H., and Roulet, N.
T.: Flux to the atmosphere of CH4 and CO2 from wetland ponds on the
Hudson Bay lowlands (HBLs), J. Geophys. Res., 99, 1495–1510, 1994.
Harris, I., Jones, P. D., Osborn, T. J., and Lister, D. H.: Updated
high-resolution grids of monthly climatic observations – the CRU TS3.10
Dataset, Int. J. Climatol., 34, 623–642, https://doi.org/10.1002/joc.3711, 2014.
Hartmann, J. and Moosdorf, N.: The new global lithological map database GLiM:
A representation of rock properties at the Earth surface, Geochem. Geophys.
Geosy., 13, 1–37, https://doi.org/10.1029/2012GC004370, 2012.
Hattermann, F., Krysanova, V., Wechsung, F., and Wattenbach, M.: Integrating
groundwater dynamics in regional hydrological modelling, Environ. Model.
Softw., 19, 1039–1051, https://doi.org/10.1016/j.envsoft.2003.11.007, 2004.
Herold, M., Van Groenestijn, A., Kooistra, L., Kalogirou, V., and Arino, O.:
Land Cover CCI, Product User Guide Version 2.0, available at:
https://maps.elie.ucl.ac.be/CCI/viewer/download/ESACCI-LC-Ph2-PUGv2_2.0.pdf
(last access: January 2019), 2015.
Hess, L. L., Melack, J. M., Affonso, A. G., Barbosa, C., Gastil-Buhl, M., and
Novo, E. M. L. M.: Wetlands of the Lowland Amazon Basin: Extent, Vegetative
Cover, and Dual-season Inundated Area as Mapped with JERS-1 Synthetic
Aperture Radar, Wetlands, 35, 745–756, https://doi.org/10.1007/s13157-015-0666-y, 2015.
Hesse, C., Krysanova, V., Päzolt, J., and Hattermann, F. F.:
Eco-hydrological modelling in a highly regulated lowland catchment to find
measures for improving water quality, Ecol. Model., 218, 135–148,
https://doi.org/10.1016/j.ecolmodel.2008.06.035, 2008.
Hu, S., Niu, Z., Chen, Y., Li, L., and Zhang, H.: Global wetlands: Potential
distribution, wetland loss, and status, Sci. Total Environ., 586, 319–327,
https://doi.org/10.1016/j.scitotenv.2017.02.001, 2017.
InfoSol: Dictionnaire de données – DoneSol version 3.4, INRA, US 1106
InfoSol, Orléans, France, 408 pp., 2013.
Jung, M., Henkel, K., Herold, M., and Churkina, G.: Exploiting synergies of
global land cover products for carbon cycle modeling, Remote Sens. Environ.,
101, 534–553, https://doi.org/10.1016/j.rse.2006.01.020, 2006.
Krinner, G., Viovy, N., de Noblet-Ducoudré, N., Ogée, J., Polcher,
J., Friedlingstein, P., Ciais, P., Sitch, S., and Prentice, I. C.: A dynamic
global vegetation model for studies of the coupled atmosphere-biosphere
system, Global Biogeochem. Cy., 19, 1–33, https://doi.org/10.1029/2003GB002199, 2005.
Kutcher, T. E.: Habitat and Land Cover Classification Scheme for the National
Estuarine Research Reserve System, The National Estuarine Research Reserve
System (NERRS), 42 pp., 2008.
Lafont, S., Zhao, Y., Calvet, J.-C., Peylin, P., Ciais, P., Maignan, F., and
Weiss, M.: Modelling LAI, surface water and carbon fluxes at high-resolution
over France: comparison of ISBA-A-gs and ORCHIDEE, Biogeosciences, 9,
439–456, https://doi.org/10.5194/bg-9-439-2012, 2012.
Lang, M. W. and McCarty, G. W.: Lidar intensity for improved detection of
inundation below the forest canopy, Wetlands, 29, 1166–1178,
https://doi.org/10.1672/08-197.1, 2009.
Lehner, B. and Döll, P.: Development and validation of a global database
of lakes, reservoirs and wetlands, J. Hydrol., 296, 1–22,
https://doi.org/10.1016/j.jhydrol.2004.03.028, 2004.
Lehner, B., Verdin, K., and Jarvis, K.: New global hydrograghy derived from
spaceborne elevation data, Eos T. Am. Geophys. Un., 89, 93–94, 2008.
Li, J. and Chen, W.: A rule-based method for mapping Canada's wetlands using
optical, radar and DEM data, Int. J. Remote Sens., 26, 5051–5069,
https://doi.org/10.1080/01431160500166516, 2005.
Lin, Y. H., Lo, M. H., and Chou, C.: Potential negative effects of
groundwater dynamics on dry season convection in the Amazon River basin,
Clim. Dynam., 46, 1001–1013, https://doi.org/10.1007/s00382-015-2628-8, 2016.
Lo, M. H. and Famiglietti, J. S.: Precipitation response to land subsurface
hydrologic processes in atmospheric general circulation model simulations, J.
Geophys. Res.-Atmos., 116, 1–18, https://doi.org/10.1029/2010JD015134, 2011.
Manfreda, S., Di Leo, M., and Sole, A.: Detection of Flood-Prone Areas Using
Digital Elevation Models, J. Hydrol. Eng., 16, 781–790,
https://doi.org/10.1061/(ASCE)HE.1943-5584.0000367, 2011.
Marthews, T. R., Dadson, S. J., Lehner, B., Abele, S., and Gedney, N.:
High-resolution global topographic index values for use in large-scale
hydrological modelling, Hydrol. Earth Syst. Sci., 19, 91–104,
https://doi.org/10.5194/hess-19-91-2015, 2015.
Matthews, E. and Fung, I.: Methane emission from natural wetlands: Global
distribution, area, and environmental characteristics of sources, Global
Biogeochem. Cy., 1, 61–86, https://doi.org/10.1029/GB001i001p00061, 1987.
Maxwell, R. M. and Kollet, S. J.: Interdependence of groundwater dynamics and
land-energy feedbacks under climate change, Nat. Geosci., 1, 665–669,
https://doi.org/10.1038/ngeo315, 2008.
Maxwell, R. M., Chow, F. K., and Kollet, S. J.: The
groundwater-land-surface-atmosphere connection: Soil moisture effects on the
atmospheric boundary layer in fully-coupled simulations, Adv. Water Resour.,
30, 2447–2466, https://doi.org/10.1016/j.advwatres.2007.05.018, 2007.
Mérot, P., Squividant, H., Aurousseau, P., Hefting, M., Burt, T., Maitre,
V., Kruk, M., Butturini, A., Thenail, C., and Viaud, V.: Testing a
climato-topographic index for predicting wetlands distribution along an
European climate gradient, Ecol. Model., 163, 51–71,
https://doi.org/10.1016/S0304-3800(02)00387-3, 2003.
Messager, M. L., Lehner, B., Grill, G., Nedeva, I., and Schmitt, O.:
Estimating the volume and age of water stored in global lakes using a
geo-statistical approach, Nat. Commun., 7, 13603, https://doi.org/10.1038/ncomms13603,
2016.
Mialon, A., Royer, A., and Fily, M.: Wetland seasonal dynamics and
interannual variability over northern high latitudes, derived from microwave
satellite data, J. Geophys. Res.-Atmos., 110, 11–19,
https://doi.org/10.1029/2004JD005697, 2005.
Miettinen, J., Shi, C., and Liew, S. C.: Deforestation rates in insular
Southeast Asia between 2000 and 2010, Glob. Change Biol., 17, 2261–2270,
https://doi.org/10.1111/j.1365-2486.2011.02398.x, 2011.
Miguez-Macho, G. and Fan, Y.: The role of groundwater in the Amazon water
cycle?: 1. Influence on seasonal streamflow, flooding and wetlands, J.
Geophys. Res., 117, 1–30, https://doi.org/10.1029/2012JD017539, 2012.
Mitsch, W. J. and Gosselink, J. G.: Wetlands,Jjohn Wiley & Sons Inc., New
York, 2000.
Mizuochi, H., Hiyama, T., Ohta, T., Fujioka, Y., Kambatuku, J. R., Iijima,
M., and Nasahara, K. N.: Remote Sensing of Environment Development and
evaluation of a lookup-table-based approach to data fusion for seasonal
wetlands monitoring?: An integrated use of AMSR series, MODIS, and Landsat,
Remote Sens. Environ., 199, 370–388, https://doi.org/10.1016/j.rse.2017.07.026, 2017.
Mohamed, Y. and Savenije, H. H. G.: Impact of climate variability on the
hydrology of the Sudd wetland: Signals derived from long term (1900–2000)
water balance computations, Wetl. Ecol. Manag., 22, 191–198,
https://doi.org/10.1007/s11273-014-9337-7, 2014.
Mohamed, Y. A., Bastiaanssen, W. G. M., and Savenije, H. H. G.: Spatial
variability of evaporation and moisture storage in the swamps of the upper
Nile studied by remote sensing techniques, J. Hydrol., 289, 145–164,
https://doi.org/10.1016/j.jhydrol.2003.11.038, 2004.
Nakaegawa, T.: Comparison of Water-Related Land Cover Types in Six 1 km
Global Land Cover Datasets, J. Hydrometeorol., 13, 649–664,
https://doi.org/10.1175/JHM-D-10-05036.1, 2012.
National Research Council: Wetlands: Characteristics and Boundaries, National
Academies Press, Washington, DC, 1995.
Ozesmi, S. L. and Bauer, M. E.: Satellite remote sensing of wetlands, Wetl.
Ecol. Manag., 10, 381–402, doi:101023/A:1020908432489, 2002.
Packalen, M. S., Finkelstein, S. A., and Mclaughlin, J. W.: Carbon storage
and potential methane production in the Hudson Bay Lowlands since
mid-Holocene peat initiation, Nat. Commun., 5, 4078, https://doi.org/10.1038/ncomms5078,
2014.
Papa, F., Prigent, C., Aires, F., Jimenez, C., Rossow, W. B., and Matthews,
E.: Interannual variability of surface water extent at the global scale,
1993–2004, J. Geophys. Res.-Atmos., 115, 1–17, https://doi.org/10.1029/2009JD012674,
2010.
Parrens, M., Al Bitar, A., Frappart, F., Papa, F., Calmant, S., Crétaux,
J.-F., Wigneron, J.-P., and Kerr, Y.: Mapping Dynamic Water Fraction under
the Tropical Rain Forests of the Amazonian Basin from SMOS Brightness
Temperatures, Water, 9, 350, https://doi.org/10.3390/w9050350, 2017.
Passy, P., Garnier, J., Billen, G., Fesneau, C., and Tournebize, J.: Science
of the Total Environment Restoration of ponds in rural landscapes?: Modelling
the effect on nitrate contamination of surface water (the Seine River Basin,
France), Sci. Total Environ., 430, 280–290,
https://doi.org/10.1016/j.scitotenv.2012.04.035, 2012.
Pekel, J.-F., Cottam, A., Gorelick, N., and Belward, A. S.: High-resolution
mapping of global surface water and its long-term changes, Nature, 1–19,
https://doi.org/10.1038/nature20584, 2016.
Pérez-Hoyos, A., García-Haro, F. J., and San-Miguel-Ayanz, J.: A
methodology to generate a synergetic land-cover map by fusion of different
land-cover products, Int. J. Appl. Earth Obs. Geoinf., 19, 72–87,
https://doi.org/10.1016/j.jag.2012.04.011, 2012.
Pison, I., Berchet, A., Saunois, M., Bousquet, P., Broquet, G., Conil, S.,
Delmotte, M., Ganesan, A., Laurent, O., Martin, D., O'Doherty, S., Ramonet,
M., Spain, T. G., Vermeulen, A., and Yver Kwok, C.: How a European network
may help with estimating methane emissions on the French national scale,
Atmos. Chem. Phys., 18, 3779–3798, https://doi.org/10.5194/acp-18-3779-2018,
2018.
Post, J., Conradt, T., Suckow, F., Krysanova, V., Wechsung, F., and
Hattermann, F. F.: Integrated assessment of cropland soil carbon sensitivity
to recent and future climate in the Elbe River basin, Hydrol. Sci. J., 53,
1043–1058, https://doi.org/10.1623/hysj.53.5.1043, 2008.
Poulter, B., Bousquet, P., Canadell, J. G., Ciais, P., Peregon, A., Saunois,
M., Arora, V. K., Beerling, D. J., Brovkin, V., Jones, C., Joos, F., Gedney,
N., Ito, A., Kelinen, T., Koven, C., McDonald, K., Melton, J., Peng, C.,
Peng, S., Prigent, C., Schroeder, R., Rilet, W., Saito, M., Spahni, R., Tian,
H., Taylor, L., Viovy, N., Wilton, D., Wiltshire, A., Xu, X., Zhang, B.,
Zhang, Z., and Zhu, Q.: Global wetland contribution to 2000–2012 atmospheric
methane growth rate dynamics, Environ. Res. Lett., 12, 094013,
https://doi.org/10.1088/1748-9326/aa8391, 2017.
Prigent, C., Papa, F., Aires, F., Rossow, W. B., and Matthews, E.: Global
inundation dynamics inferred from multiple satellite observations,
1993–2000, J. Geophys. Res.-Atmos., 112, D12107, https://doi.org/10.1029/2006JD007847,
2007.
Qiu, C., Zhu, D., Ciais, P., Guenet, B., Peng, S., Krinner, G., Tootchi, A.,
Ducharne, A., and Hastie, A.: Modelling northern peatlands area and carbon
dynamics since the Holocene with the ORCHIDEE-PEAT land surface model (SVN
r5488), Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-256, in
review, 2018.
Ramsar: Strategic Framework and guidelines for the future development of the
List of Wetlands of International Importance of the Convention on Wetlands
(Ramsar, Iran, 1971), Strateg. Framew. List, 11, 91 pp.,
http://archive.ramsar.org/pdf/guide/guide-list2009-e.pdf (last access:
January 2019), 2009.
Raymond, P. A., Hartmann, J., Lauerwald, R., Sobek, S., McDonald, C., Hoover,
M., Butman, D., Striegl, R., Mayorga, E., Humborg, C., Kortelainen, P.,
Dürr, H., Meybeck, M., Ciais, P., and Guth, P.: Global carbon dioxide
emissions from inland waters, Nature, 503, 355–359, https://doi.org/10.1038/nature12760,
2013.
Repo, M., Huttunen, J. T., Naumov, A. V., Chichulin, A. V., Lapshina, E. D.,
Bleuten, W., and Martikainen, P. J.: Release of CO2 and CH4 from small
wetland lakes, Tellus, 59, 788–796, https://doi.org/10.1111/j.1600-0889.2007.00301.x,
2007.
Richey, J. E., Melack, J. M., Aufdenkampe, A. K., Ballester, V. M., and Hess,
L. L.: Outgassing from Amazonian rivers and wetlands as a large tropical
source of atmospheric CO2, Nature, 416, 617–620, 2002.
Ringeval, B., Friedlingstein, P., Koven, C., Ciais, P., de
Noblet-Ducoudré, N., Decharme, B., and Cadule, P.: Climate–CH4
feedback from wetlands and its interaction with the climate-CO2 feedback,
Biogeosciences, 8, 2137–2157, https://doi.org/10.5194/bg-8-2137-2011, 2011.
Ringeval, B., Decharme, B., Piao, S. L., Ciais, P., Papa, F., de
Noblet-Ducoudré, N., Prigent, C., Friedlingstein, P., Gouttevin, I.,
Koven, C., and Ducharne, A.: Modelling sub-grid wetland in the ORCHIDEE
global land surface model: evaluation against river discharges and remotely
sensed data, Geosci. Model Dev., 5, 941–962,
https://doi.org/10.5194/gmd-5-941-2012, 2012.
Rodhe, A. and Seibert, J.: Wetland occurrence in relation to topography: A
test of topographic indices as moisture indicators, Agr. Forest Meteorol.,
98–99, 325–340, https://doi.org/10.1016/S0168-1923(99)00104-5, 1999.
Saulnier, G., Beven, K., and Obled, C.: Including spatially variable
effective soil depths in TOPMODEL, J. Hydrol., 202, 158–172, 1997.
Schepaschenko, D., McCallum, I., Shvidenko, A., Fritz, S., Kraxner, F., and
Obersteiner, M.: A new hybrid land cover dataset for Russia: a methodology
for integrating statistics, remote sensing and in situ information, J. Land
Use Sci., 6, 245–259, https://doi.org/10.1080/1747423X.2010.511681, 2011.
Schneider, A. S., Jost, A., Coulon, C., Silvestre, M., Théry, S., and
Ducharne, A.: Global scale river network extraction based on high-resolution
topography, constrained by lithology, climate, slope, and observed drainage
density, Geophys. Res. Lett., 44, 2773–2781, https://doi.org/10.1002/2016GL071844, 2017.
Schroeder, R., McDonald, K. C., Chapman, B. D., Jensen, K., Podest, E.,
Tessler, Z. D., Bohn, T. J., and Zimmermann, R.: Development and evaluation
of a multi-year fractional surface water data set derived from active/passive
microwave remote sensing data, Remote Sens., 7, 16688–16732,
https://doi.org/10.3390/rs71215843, 2015.
Sørensen, R., Zinko, U., and Seibert, J.: On the calculation of the
topographic wetness index: evaluation of different methods based on field
observations, Hydrol. Earth Syst. Sci., 10, 101–112,
https://doi.org/10.5194/hess-10-101-2006, 2006.
Sterling, S. and Ducharne, A.: Comprehensive data set of global land cover
change for land surface model applications, Global Biogeochem. Cy., 22,
GB3017, https://doi.org/10.1029/2007gb002959, 2008.
Sterling, S. M., Ducharne, A., and Polcher, J.: The impact of global
land-cover change on the terrestrial water cycle, Nat. Clim. Change, 3,
385–390, https://doi.org/10.1038/nclimate1690, 2013.
Stibig, H.-J., Achard, F., Carboni, S., Raši, R., and Miettinen, J.:
Change in tropical forest cover of Southeast Asia from 1990 to 2010,
Biogeosciences, 11, 247–258, https://doi.org/10.5194/bg-11-247-2014, 2014.
Sutcliffe, J., Hurst, S., Awadallah, A. G., and Brown, E.: Harold Edwin
Hurst?: the Nile and Egypt , past and future, Hydrol. Sci. J., 61,
1557–1570, https://doi.org/10.1080/02626667.2015.1019508, 2016.
Tamea, S., Muneepeerakul, R., Laio, F., Ridolfi, L., and Rodriguez-Iturbe,
I.: Stochastic description of water table fluctuations in wetlands, Geophys.
Res. Lett., 37, 1–5, https://doi.org/10.1029/2009GL041633, 2010.
Tootchi, A., Jost, A., and Ducharne, A.: Multi-source global wetland maps
combining surface water imagery and groundwater constraints,
https://doi.org/10.1594/PANGAEA.892657, 2018.
Tuanmu, M. N. and Jetz, W.: A global 1-km consensus land-cover product for
biodiversity and ecosystem modelling, Glob. Ecol. Biogeogr., 23, 1031–1045,
https://doi.org/10.1111/geb.12182, 2014.
US Army Corps of Engineers: Corps of Engineers Wetlands Delineation Manual,
1987.
US Geological Survey: Hydro1k Elevation Derivative Database, USGS, available
at: https://lta.cr.usgs.gov/HYDRO1K (last access: January 2019), 2000.
Vergnes, J., Decharme, B., and Habets, F.: Introduction of groundwater
capillary rises using subgrid spatial variability of topography into the ISBA
land surface model, J. Geophys. Res.-Atmos., 119, 11065–11086,
https://doi.org/10.1002/2014JD021573, 2014.
Verpoorter, C., Kutser, T., Seekell, D. A., and Tranvik, L. J.: A global
inventory of lakes based on high-resolution satellite imagery, Geophys. Res.
Lett., 41, 6396–6402, https://doi.org/10.1002/2014GL060641, 2014.
Vidal, J. P., Martin, E., Franchistéguy, L., Baillon, M., and Soubeyroux,
J. M.: A 50-year high-resolution atmospheric reanalysis over France with the
Safran system, Int. J. Climatol., 30, 1627–1644, https://doi.org/10.1002/joc.2003, 2010.
Walvoord, M. A. and Kurylyk, B. L.: Hydrologic Impacts of Thawing Permafrost
– A Review, Vadose Zone J., 15, https://doi.org/10.2136/vzj2016.01.0010, 2016.
Wang, F., Ducharne, A., Cheruy, F., Lo, M. H., and Grandpeix, J. Y.: Impact
of a shallow groundwater table on the global water cycle in the IPSL
land–atmosphere coupled model, Clim. Dynam., 50, 3505–3522,
https://doi.org/10.1007/s00382-017-3820-9, 2018.
Wania, R., Melton, J. R., Hodson, E. L., Poulter, B., Ringeval, B., Spahni,
R., Bohn, T., Avis, C. A., Chen, G., Eliseev, A. V., Hopcroft, P. O., Riley,
W. J., Subin, Z. M., Tian, H., van Bodegom, P. M., Kleinen, T., Yu, Z. C.,
Singarayer, J. S., Zürcher, S., Lettenmaier, D. P., Beerling, D. J.,
Denisov, S. N., Prigent, C., Papa, F., and Kaplan, J. O.: Present state of
global wetland extent and wetland methane modelling: methodology of a model
inter-comparison project (WETCHIMP), Geosci. Model Dev., 6, 617–641,
https://doi.org/10.5194/gmd-6-617-2013, 2013.
Wulder, M. A., White, J. C., Loveland, T. R., Woodcock, C. E., Belward, A.
S., Cohen, W. B., Fosnight, E. A., Shaw, J., Masek, J. G., and Roy, D. P.:
The global Landsat archive: Status, consolidation, and direction, Remote
Sens. Environ., 185, 271–283, https://doi.org/10.1016/j.rse.2015.11.032, 2016.
Wolock, D. M. and McCabe, G. J.: comparison of single and multible flow
direction algorithm for computing topographic parameters in TOPMODEL, Water
Resour. Res., 31, 1315–1324, 1995.
Yamazaki, D., Trigg, M. A., and Ikeshima, D.: Development of a global ∼90 m water body map using multi-temporal Landsat images, Remote Sens.
Environ., 171, 337–351, https://doi.org/10.1016/j.rse.2015.10.014, 2015.
Yamazaki, D., Ikeshima, D., Tawatari, R., Yamaguchi, T., O'Loughlin, F.,
Neal, J. C., Sampson, C. C., Kanae, S., and Bates, P. D.: A high-accuracy map
of global terrain elevations, Geophys. Res. Lett., 44, 5844–5853,
https://doi.org/10.1002/2017GL072874, 2017.
Zhao, F., Veldkamp, T. I. E., Frieler, K., Schewe, J., Ostberg, S., Willner,
S., Schauberger, B., Gosling, S. N., Schmied, H. M., Portmann, F. T., Leng,
G., Huang, M., Liu, X., Tang, Q., Hanasaki, N., Biemans, H., Gerten, D.,
Satoh, Y., Pokhrel, Y., Stacke, T., Ciais, P., Chang, J., Ducharne, A.,
Guimberteau, M., Wada, Y., Kim, H. and Yamazaki, D.: The critical role of the
routing scheme in simulating peak river discharge in global hydrological
models, Environ. Res. Let., 12, 075003, https://doi.org/10.1088/1748-9326/aa725, 2017.
Zoltai, S. C. and Vitt, D. H.: Canadian wetlands: Environmental gradients and
classification, Vegetatio, 118, 131–137, https://doi.org/10.1007/BF00045195, 1995.
Short summary
The role of wetlands at regional and global scales depends on their distribution and extent, which is highly uncertain in the literature. We developed comprehensive wetland maps using satellite imagery products and ground water modeling. These high-resolution maps encompass regularly flooded to non-flooded groundwater wetlands, covering more than 21 % of the land surface area, which is among the highest estimates. Wetlands are particularly concentrated over the tropics and northern cold zones.
The role of wetlands at regional and global scales depends on their distribution and extent,...
Altmetrics
Final-revised paper
Preprint