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Earth System Science Data The data publishing journal
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Volume 9, issue 2
Earth Syst. Sci. Data, 9, 389–413, 2017
https://doi.org/10.5194/essd-9-389-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Earth Syst. Sci. Data, 9, 389–413, 2017
https://doi.org/10.5194/essd-9-389-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Review article 03 Jul 2017

Review article | 03 Jul 2017

A global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset

Jaap Schellekens et al.
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

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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...
Citation