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

Schellekens, Jaap; Dutra, Emanuel; Martínez-de la Torre, Alberto; Balsamo, Gianpaolo; van Dijk, Albert; Sperna Weiland, Frederiek; Minvielle, Marie; Calvet, Jean-Christophe; Decharme, Bertrand; Eisner, Stephanie; Fink, Gabriel; Flörke, Martina; Peßenteiner, Stefanie; van Beek, Rens; Polcher, Jan; Beck, Hylke; Orth, René; Calton, Ben; Burke, Sophia; Dorigo, Wouter; Weedon, Graham P.

doi:https://doi.org/10.5194/essd-9-389-2017

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.

https://doi.org/10.5194/essd-9-389-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 2

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, Emanuel Dutra, Alberto Martínez-de la Torre, Gianpaolo Balsamo, Albert van Dijk, Frederiek Sperna Weiland, Marie Minvielle, Jean-Christophe Calvet, Bertrand Decharme, Stephanie Eisner, Gabriel Fink, Martina Flörke, Stefanie Peßenteiner, Rens van Beek, Jan Polcher, Hylke Beck, René Orth, Ben Calton, Sophia Burke, Wouter Dorigo, and Graham P. Weedon

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Final revised paper (published on 03 Jul 2017)
Supplement to the final revised paper
Preprint (discussion started on 06 Dec 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'referee comments', Anonymous Referee #1, 14 Jan 2017
- AC1: 'Reply to RC1', Jaap Schellekens, 17 Mar 2017
RC2: 'A global water resources ensemble of hydrological models: the earthH2Observe Tier-1 dataset', Anonymous Referee #2, 07 Feb 2017
- AC2: 'Reply to RC2', Jaap Schellekens, 17 Mar 2017
EC1: 'Please proceed with revision and submission of revised manuscript.', David Carlson, 19 May 2017

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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.