Articles | Volume 11, issue 4
https://doi.org/10.5194/essd-11-1655-2019
https://doi.org/10.5194/essd-11-1655-2019
Data description paper
 | 
13 Nov 2019
Data description paper |  | 13 Nov 2019

GRUN: an observation-based global gridded runoff dataset from 1902 to 2014

Gionata Ghiggi, Vincent Humphrey, Sonia I. Seneviratne, and Lukas Gudmundsson

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Gionata Ghiggi on behalf of the Authors (12 Aug 2019)  Author's response 
ED: Publish as is (03 Oct 2019) by Alexander Gelfan
AR by Gionata Ghiggi on behalf of the Authors (08 Oct 2019)
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Short summary
Freshwater resources are of high societal relevance and understanding their past variability is vital to water management in the context of current and future climatic change. This study introduces GRUN: the first global gridded monthly reconstruction of runoff covering the period from 1902 to 2014. The dataset agrees on average much better with the streamflow observations than an ensemble of 13 state-of-the-art global hydrological models and will foster the understanding of freshwater dynamics.
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