Articles | Volume 24, issue 1
https://doi.org/10.5194/hess-24-427-2020
https://doi.org/10.5194/hess-24-427-2020
Research article
 | 
28 Jan 2020
Research article |  | 28 Jan 2020

Cross-validating precipitation datasets in the Indus River basin

Jean-Philippe Baudouin, Michael Herzog, and Cameron A. Petrie

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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) (02 Oct 2019) by Thomas Kjeldsen
AR by Jean-Philippe Baudouin on behalf of the Authors (02 Oct 2019)  Author's response   Manuscript 
ED: Publish subject to revisions (further review by editor and referees) (09 Oct 2019) by Thomas Kjeldsen
ED: Referee Nomination & Report Request started (10 Oct 2019) by Thomas Kjeldsen
RR by Elisa Palazzi (05 Nov 2019)
RR by Anonymous Referee #2 (06 Nov 2019)
ED: Publish as is (06 Nov 2019) by Thomas Kjeldsen
AR by Jean-Philippe Baudouin on behalf of the Authors (26 Nov 2019)
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Short summary
The amount of precipitation falling in the Indus River basin remains uncertain while its variability impacts 100 million inhabitants. A comparison of datasets from diverse sources (ground remote observations, model outputs) reduces this uncertainty significantly. Grounded observations offer the most reliable long-term variability but with important underestimation in winter over the mountains. By contrast, recent model outputs offer better estimations of total amount and short-term variability.