Articles | Volume 25, issue 1
Hydrol. Earth Syst. Sci., 25, 147–167, 2021
https://doi.org/10.5194/hess-25-147-2021
Hydrol. Earth Syst. Sci., 25, 147–167, 2021
https://doi.org/10.5194/hess-25-147-2021

Research article 07 Jan 2021

Research article | 07 Jan 2021

The role and value of distributed precipitation data in hydrological models

Ralf Loritz 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: Publish subject to revisions (further review by editor and referees) (01 Oct 2020) by Nadav Peleg
AR by Ralf Loritz on behalf of the Authors (13 Oct 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (16 Oct 2020) by Nadav Peleg
RR by Wouter Knoben (27 Oct 2020)
RR by Daniel Wright (05 Nov 2020)
RR by Anna E. Sikorska-Senoner (12 Nov 2020)
RR by Hannes Müller-Thomy (16 Nov 2020)
ED: Publish subject to minor revisions (review by editor) (16 Nov 2020) by Nadav Peleg
ED: Publish subject to minor revisions (review by editor) (17 Nov 2020) by Nadav Peleg
AR by Ralf Loritz on behalf of the Authors (18 Nov 2020)  Author's response    Manuscript
ED: Publish as is (20 Nov 2020) by Nadav Peleg
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Short summary
This study investigates the role and value of distributed rainfall in the runoff generation of a mesoscale catchment. We compare the performance of different hydrological models at different periods and show that a distributed model driven by distributed rainfall yields improved performances only during certain periods. We then step beyond this finding and develop a spatially adaptive model that is capable of dynamically adjusting its spatial model structure in time.