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

Robinson, Emma L.; Clark, Douglas B.

doi:https://doi.org/10.5194/hess-24-1763-2020

Articles | Volume 24, issue 4

https://doi.org/10.5194/hess-24-1763-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-24-1763-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 4

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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Final revised paper (published on 09 Apr 2020)
Supplement to the final revised paper
Preprint (discussion started on 27 Mar 2019)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Interactive comment on “Using GRACE to derive corrections to precipitation data sets and improve modelled snow mass at high latitudes” by Emma L. Robinson and Douglas B. Clark', Anonymous Referee #1, 08 Jun 2019
- AC1: 'Response to Referee #1', Emma Robinson, 04 Oct 2019
RC2: 'Comments on “Using GRACE to derive corrections to precipitation data sets and improve modelled snow mass at high latitudes”', Anonymous Referee #2, 25 Aug 2019
- AC2: 'Response to Referee #2', Emma Robinson, 04 Oct 2019

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

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.