Articles | Volume 9, issue 2
Earth Syst. Sci. Data, 9, 389–413, 2017
https://doi.org/10.5194/essd-9-389-2017
Earth Syst. Sci. Data, 9, 389–413, 2017
https://doi.org/10.5194/essd-9-389-2017

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.

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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.