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Assimilation of Gridded GRACE Terrestrial Water Storage Estimates in the North American Land Data Assimilation System.

Authors :
Kumar, Sujay V.
Zaitchik, Benjamin F.
Peters-Lidard, Christa D.
Rodell, Matthew
Reichle, Rolf
Li, Bailing
Jasinski, Michael
Mocko, David
Getirana, Augusto
De Lannoy, Gabrielle
Cosh, Michael H.
Hain, Christopher R.
Anderson, Martha
Arsenault, Kristi R.
Xia, Youlong
Ek, Michael
Source :
Journal of Hydrometeorology; Jul2016, Vol. 17 Issue 7, p1951-1972, 22p
Publication Year :
2016

Abstract

The objective of the North American Land Data Assimilation System (NLDAS) is to provide best-available estimates of near-surface meteorological conditions and soil hydrological status for the continental United States. To support the ongoing efforts to develop data assimilation (DA) capabilities for NLDAS, the results of Gravity Recovery and Climate Experiment (GRACE) DA implemented in a manner consistent with NLDAS development are presented. Following previous work, GRACE terrestrial water storage (TWS) anomaly estimates are assimilated into the NASA Catchment land surface model using an ensemble smoother. In contrast to many earlier GRACE DA studies, a gridded GRACE TWS product is assimilated, spatially distributed GRACE error estimates are accounted for, and the impact that GRACE scaling factors have on assimilation is evaluated. Comparisons with quality-controlled in situ observations indicate that GRACE DA has a positive impact on the simulation of unconfined groundwater variability across the majority of the eastern United States and on the simulation of surface and root zone soil moisture across the country. Smaller improvements are seen in the simulation of snow depth, and the impact of GRACE DA on simulated river discharge and evapotranspiration is regionally variable. The use of GRACE scaling factors during assimilation improved DA results in the western United States but led to small degradations in the eastern United States. The study also found comparable performance between the use of gridded and basin-averaged GRACE observations in assimilation. Finally, the evaluations presented in the paper indicate that GRACE DA can be helpful in improving the representation of droughts. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1525755X
Volume :
17
Issue :
7
Database :
Complementary Index
Journal :
Journal of Hydrometeorology
Publication Type :
Academic Journal
Accession number :
118024263
Full Text :
https://doi.org/10.1175/JHM-D-15-0157.1