Dual state/rainfall correction via soil moisture assimilation  for improved streamflow simulation: evaluation of a  large-scale implementation with Soil Moisture Active  Passive (SMAP) satellite data

Mao, Yixin; Crow, Wade T.; Nijssen, Bart

doi:https://doi.org/10.5194/hess-24-615-2020

Articles | Volume 24, issue 2

https://doi.org/10.5194/hess-24-615-2020

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

https://doi.org/10.5194/hess-24-615-2020

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

Articles | Volume 24, issue 2

Research article

|

13 Feb 2020

Research article |

| 13 Feb 2020

Dual state/rainfall correction via soil moisture assimilation for improved streamflow simulation: evaluation of a large-scale implementation with Soil Moisture Active Passive (SMAP) satellite data

Yixin Mao, Wade T. Crow, and Bart Nijssen

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Final revised paper (published on 13 Feb 2020)
Supplement to the final revised paper
Preprint (discussion started on 04 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: 'Dual state/rainfall correction via soil moisture assimilation for improved streamflow simulation: Evaluation of a large-scale implementation with SMAP satellite data', Christian Massari, 19 Apr 2019
- AC1: 'Reply to RC1', Yixin Mao, 19 Sep 2019
RC2: 'Referee Comments', Anonymous Referee #2, 21 Jun 2019
- AC2: 'Reply to RC2', Yixin Mao, 19 Sep 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) (08 Oct 2019) by Niko Wanders

AR by Yixin Mao on behalf of the Authors (10 Oct 2019) Author's response Manuscript

ED: Referee Nomination & Report Request started (10 Oct 2019) by Niko Wanders

RR by Christian Massari (17 Oct 2019)

RR by Anonymous Referee #2 (07 Nov 2019)

ED: Publish as is (08 Nov 2019) by Niko Wanders

AR by Yixin Mao on behalf of the Authors (20 Nov 2019)

Short summary

The new generation of satellite soil moisture observations are used to correct the streamflow in a regional-scale river basin simulated by a mathematical model. The correction is done via both the direct updating of soil moisture and correction of rainfall input. Results show some streamflow improvement, but the magnitude is small. A larger improvement will need future generations of even higher-quality satellite soil moisture data and better process representation in the mathematical model.