Articles | Volume 24, issue 6
Hydrol. Earth Syst. Sci., 24, 3331–3359, 2020
https://doi.org/10.5194/hess-24-3331-2020
Hydrol. Earth Syst. Sci., 24, 3331–3359, 2020
https://doi.org/10.5194/hess-24-3331-2020

Research article 30 Jun 2020

Research article | 30 Jun 2020

Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region

Petra Hulsman et al.

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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) (11 Dec 2019) by Daniel Viviroli
AR by Petra Hulsman on behalf of the Authors (15 Jan 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (16 Jan 2020) by Daniel Viviroli
RR by Anonymous Referee #3 (13 Feb 2020)
RR by Anonymous Referee #2 (17 Feb 2020)
ED: Reconsider after major revisions (further review by editor and referees) (02 Mar 2020) by Daniel Viviroli
AR by Petra Hulsman on behalf of the Authors (10 Apr 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (16 Apr 2020) by Daniel Viviroli
RR by Anonymous Referee #2 (26 May 2020)
ED: Publish subject to technical corrections (27 May 2020) by Daniel Viviroli
AR by Petra Hulsman on behalf of the Authors (29 May 2020)  Author's response    Manuscript
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Short summary
In the absence of discharge data in ungauged basins, remotely sensed river water level data, i.e. altimetry, may provide valuable information to calibrate hydrological models. This study illustrated that for large rivers in data-scarce regions, river altimetry data from multiple locations combined with GRACE data have the potential to fill this gap when combined with estimates of the river geometry, thereby allowing a step towards more reliable hydrological modelling in data-scarce regions.