Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Hydrol. Earth Syst. Sci., 21, 2053-2074, 2017
https://doi.org/10.5194/hess-21-2053-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
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 et al.
Download
Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - 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 Printer-friendly Version 
AC1: 'Response to Dr. Bogena (RC1)', Natthachet Tangdamrongsub, 09 Nov 2016 Printer-friendly Version 
 
RC2: 'Review of 'Improving estimates of water resources ...’ by Tangdamrongsub et al.', Anonymous Referee #2, 23 Sep 2016 Printer-friendly Version 
AC2: 'Response to referee 2 (RC2)', Natthachet Tangdamrongsub, 09 Nov 2016 Printer-friendly Version 
 
SC1: 'Major comments on parts of the methodology and on the citation of previous works', Maike Schumacher, 05 Dec 2016 Printer-friendly Version 
AC3: 'Response to M. Schumacher's comments', Natthachet Tangdamrongsub, 26 Jan 2017 Printer-friendly Version 
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
CC BY 4.0
Publications Copernicus
Download
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.
This paper investigates the assimilation of terrestrial water storage variation estimates...
Share