Articles | Volume 9, issue 2
https://doi.org/10.5194/essd-9-389-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/essd-9-389-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset
Jaap Schellekens
CORRESPONDING AUTHOR
Deltares, Rotterdamseweg 185, 2629 HD Delft, the Netherlands
Emanuel Dutra
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading RG2 9AX, UK
now at: Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisbon, Portugal
Alberto Martínez-de la Torre
Centre for Ecology and Hydrology, Wallingford, Oxfordshire, OX10 8BB, UK
Gianpaolo Balsamo
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading RG2 9AX, UK
Albert van Dijk
Fenner School of Environment and Society, Australian National University, Canberra, ACT 0200, Australia
Frederiek Sperna Weiland
Deltares, Rotterdamseweg 185, 2629 HD Delft, the Netherlands
Marie Minvielle
CNRM/GAME, Météo-France, CNRS, UMR 3589, 42 avenue Coriolis, 31057 Toulouse CEDEX 1, France
Jean-Christophe Calvet
CNRM/GAME, Météo-France, CNRS, UMR 3589, 42 avenue Coriolis, 31057 Toulouse CEDEX 1, France
Bertrand Decharme
CNRM/GAME, Météo-France, CNRS, UMR 3589, 42 avenue Coriolis, 31057 Toulouse CEDEX 1, France
Stephanie Eisner
Center for Environmental Systems Research (CESR), University of Kassel, Wilhelmshöher Allee 47, 34117 Kassel, Germany
Gabriel Fink
Center for Environmental Systems Research (CESR), University of Kassel, Wilhelmshöher Allee 47, 34117 Kassel, Germany
Martina Flörke
Center for Environmental Systems Research (CESR), University of Kassel, Wilhelmshöher Allee 47, 34117 Kassel, Germany
Stefanie Peßenteiner
Department of Physical Geography, Utrecht University, Heidelberglaan 2, 3584 CS Utrecht, the Netherlands
Rens van Beek
Department of Physical Geography, Utrecht University, Heidelberglaan 2, 3584 CS Utrecht, the Netherlands
Jan Polcher
Laboratoire de Météorologie Dynamique (LMD, CNRS), Ecole Polytechnique, 91128 Palaiseau, France
Hylke Beck
European Commission, Institute for Environment and Sustainability, Joint Research Centre, Ispra, VA, Italy,
now at: Princeton University, Civil and Environmental Engineering, Princeton, NJ,
USA
René Orth
Institute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16, 8092 Zurich, Switzerland
Ben Calton
PML Applications Ltd, Prospect Place, The Hoe, Plymouth, UK
Sophia Burke
AmbioTEK Community Interest Company, Essex, UK
Wouter Dorigo
Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria
Graham P. Weedon
Met Office, Joint Centre for Hydrometeorological Research, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, OX10 8BB, UK
Data sets
A global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset J. Schellekens, E. Dutra, G. Balsamo, A. van Dijk, F. Sperna Weiland, M. Minvielle, C. Calvet, B. Decharme, S. Eisner, G. Fink, M. Flörke, S. Peßenteiner, R. van Beek, J. Polcher, H. Beck, A. Martínez-de la Torre, R. Orth, B. Calton. S. Burke, W. Dorigo, and G. P. Weedon https://doi.org/10.5281/zenodo.167070
Model code and software
earth2observe downscaling-tools J. Schellekens and F. Sperna Weiland https://doi.org/10.5281/zenodo.545779
Short summary
The dataset combines the results of 10 global models that describe the global continental water cycle. The data can be used as input for water resources studies, flood frequency studies etc. at different scales from continental to medium-scale catchments. We compared the results with earth observation data and conclude that most uncertainties are found in snow-dominated regions and tropical rainforest and monsoon regions.
The dataset combines the results of 10 global models that describe the global continental water...
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