Articles | Volume 21, issue 4
https://doi.org/10.5194/hess-21-2053-2017
https://doi.org/10.5194/hess-21-2053-2017
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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Cited articles

Bettadpur, S.: Insights into the Earth System mass variability from CSR-RL05 GRACE gravity fields, EGU Meeting, abstract #EGU2012-6409, Vienna, Austria, 2012.
Carlson, T. N. and Ripley, D. A.: On the relation between NDVI, fractional vegetation cover, and leaf area index, Remote Sens. Environ., 62, 241–252, https://doi.org/10.1016/S0034-4257(97)00104-1, 1997.
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Cheng, M. and Tapley, B.: Variations in the Earth's oblateness during the past 28 years, J. Geophys. Res., 109, B09402, https://doi.org/10.1029/2004JB003028, 2004.
Cui, Y. and Shao, J.: The Role of Ground Water in Arid/Semiarid Ecosystems, Northwest China, Groundwater, 43, 471–477, https://doi.org/10.1111/j.1745-6584.2005.0063.x, 2005.
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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.