Articles | Volume 25, issue 2
Research article
24 Feb 2021
Research article |  | 24 Feb 2021

Learning from satellite observations: increased understanding of catchment processes through stepwise model improvement

Petra Hulsman, Hubert H. G. Savenije, and Markus Hrachowitz


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (06 Nov 2020) by Markus Weiler
AR by Petra Hulsman on behalf of the Authors (26 Nov 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (07 Dec 2020) by Markus Weiler
RR by Anonymous Referee #2 (08 Jan 2021)
ED: Publish subject to minor revisions (review by editor) (16 Jan 2021) by Markus Weiler
AR by Petra Hulsman on behalf of the Authors (20 Jan 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (25 Jan 2021) by Markus Weiler
Short summary
Satellite observations have increasingly been used for model calibration, while model structural developments largely rely on discharge data. For large river basins, this often results in poor representations of system internal processes. This study explores the combined use of satellite-based evaporation and total water storage data for model structural improvement and spatial–temporal model calibration for a large, semi-arid and data-scarce river system.