Articles | Volume 25, issue 8
https://doi.org/10.5194/hess-25-4567-2021
https://doi.org/10.5194/hess-25-4567-2021
Research article
 | 
24 Aug 2021
Research article |  | 24 Aug 2021

Satellite soil moisture data assimilation for improved operational continental water balance prediction

Siyuan Tian, Luigi J. Renzullo, Robert C. Pipunic, Julien Lerat, Wendy Sharples, and Chantal Donnelly

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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) (23 Feb 2021) by Patricia Saco
AR by Siyuan Tian on behalf of the Authors (24 Mar 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (18 Apr 2021) by Patricia Saco
RR by Anonymous Referee #2 (27 May 2021)
RR by Anonymous Referee #3 (15 Jun 2021)
ED: Publish subject to minor revisions (review by editor) (05 Jul 2021) by Patricia Saco
AR by Siyuan Tian on behalf of the Authors (08 Jul 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (25 Jul 2021) by Patricia Saco
AR by Siyuan Tian on behalf of the Authors (30 Jul 2021)  Manuscript 
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Short summary
Accurate daily continental water balance predictions are valuable in monitoring and forecasting water availability and land surface conditions. A simple and robust method was developed for an operational water balance model to constrain model predictions temporally and spatially with satellite soil moisture observations. The improved soil water storage prediction can provide constraints in model forecasts that persist for several weeks.