Articles | Volume 24, issue 4
Hydrol. Earth Syst. Sci., 24, 1763–1779, 2020
https://doi.org/10.5194/hess-24-1763-2020
Hydrol. Earth Syst. Sci., 24, 1763–1779, 2020
https://doi.org/10.5194/hess-24-1763-2020

Research article 09 Apr 2020

Research article | 09 Apr 2020

Using Gravity Recovery and Climate Experiment data to derive corrections to precipitation data sets and improve modelled snow mass at high latitudes

Emma L. Robinson and Douglas B. Clark

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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) (18 Oct 2019) by Bob Su
AR by Emma Robinson on behalf of the Authors (06 Dec 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Jan 2020) by Bob Su
RR by Anonymous Referee #1 (09 Jan 2020)
RR by Anonymous Referee #2 (23 Jan 2020)
ED: Publish as is (07 Mar 2020) by Bob Su
AR by Emma Robinson on behalf of the Authors (10 Mar 2020)  Author's response    Manuscript
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Short summary
This study used a water balance approach based on GRACE total water storage to infer the amount of cold-season precipitation in four Arctic river basins. This was used to evaluate four gridded meteorological data sets, which were used as inputs to a land surface model. We found that the cold-season precipitation in these data sets needed to be increased by up to 55 %. Using these higher precipitation inputs improved the model representation of Arctic hydrology, particularly lying snow.