Improving estimates of water resources in a semi-arid region  by assimilating GRACE data into the PCR-GLOBWB  hydrological model

Tangdamrongsub, Natthachet; Steele-Dunne, Susan C.; Gunter, Brian C.; Ditmar, Pavel G.; Sutanudjaja, Edwin H.; Sun, Yu; Xia, Ting; Wang, Zhongjing

doi:https://doi.org/10.5194/hess-21-2053-2017

Articles | Volume 21, issue 4

https://doi.org/10.5194/hess-21-2053-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-21-2053-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 4

Research article

|

18 Apr 2017

Research article |

| 18 Apr 2017

Improving estimates of water resources in a semi-arid region by assimilating GRACE data into the PCR-GLOBWB hydrological model

Natthachet Tangdamrongsub, Susan C. Steele-Dunne, Brian C. Gunter, Pavel G. Ditmar, Edwin H. Sutanudjaja, Yu Sun, Ting Xia, and Zhongjing Wang

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Final revised paper (published on 18 Apr 2017)
Preprint (discussion started on 25 Jul 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of “Improving estimates of water resources in a semi-arid region by assimilating GRACE data into the PCR-GLOBWB hydrological model “ by Tangdamrongsub et al.', Heye Bogena, 19 Sep 2016
- AC1: 'Response to Dr. Bogena (RC1)', Natthachet Tangdamrongsub, 09 Nov 2016
RC2: 'Review of 'Improving estimates of water resources ...’ by Tangdamrongsub et al.', Anonymous Referee #2, 23 Sep 2016
- AC2: 'Response to referee 2 (RC2)', Natthachet Tangdamrongsub, 09 Nov 2016
SC1: 'Major comments on parts of the methodology and on the citation of previous works', Maike Schumacher, 05 Dec 2016
- AC3: 'Response to M. Schumacher's comments', Natthachet Tangdamrongsub, 26 Jan 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (further review by Editor) (15 Feb 2017) by Stefan Uhlenbrook

AR by Natthachet Tangdamrongsub on behalf of the Authors (24 Feb 2017) Author's response Manuscript

ED: Publish as is (16 Mar 2017) by Stefan Uhlenbrook

AR by Natthachet Tangdamrongsub on behalf of the Authors (17 Mar 2017)

Short summary

This paper investigates the assimilation of terrestrial water storage variation estimates derived from GRACE data using an EnKF 3D approach. The spatially correlated errors in GRACE data derived from its full error variance–covariance matrices were taken into account. The experiments showed that GRACE DA improved the accuracy of groundwater storage estimates by as much as 25 % over the Hexi Corridor. The inclusion of error correlations provided an equal or greater improvement in the estimates.