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Benefits and Pitfalls of GRACE Data Assimilation: a Case Study of Terrestrial Water Storage Depletion in India.
Girotto, Manuela; De Lannoy, Gabriëlle J M; Reichle, Rolf H; Rodell, Matthew; Draper, Clara; Bhanja, Soumendra N; Mukherjee, Abhijit.
Afiliação
  • Girotto M; Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
  • De Lannoy GJM; GESTAR, Universities Space Research Association, Columbia, MD 21044, USA.
  • Reichle RH; Department of Earth and Environmental Sciences, KU Leuven, Belgium.
  • Rodell M; Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
  • Draper C; Hydrological Science Lab, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
  • Bhanja SN; Physical Sciences Division, NOAA/Earth System Research Laboratory, Boulder, Colorado.
  • Mukherjee A; Cooperative Institute for Research in the Environmental Sciences, University of Colorado Boulder, Boulder, Colorado.
Geophys Res Lett ; 44(9): 4107-4115, 2017 May 16.
Article em En | MEDLINE | ID: mdl-29643570
This study investigates some of the benefits and drawbacks of assimilating Terrestrial Water Storage (TWS) observations from the Gravity Recovery and Climate Experiment (GRACE) into a land surface model over India. GRACE observes TWS depletion associated with anthropogenic groundwater extraction in northwest India. The model, however, does not represent anthropogenic groundwater withdrawals and is not skillful in reproducing the interannual variability of groundwater. Assimilation of GRACE TWS introduces long-term trends and improves the interannual variability in groundwater. But the assimilation also introduces a negative trend in simulated evapotranspiration whereas in reality evapotranspiration is likely enhanced by irrigation, which is also unmodeled. Moreover, in situ measurements of shallow groundwater show no trend, suggesting that the trends are erroneously introduced by the assimilation into the modeled shallow groundwater, when in reality the groundwater is depleted in deeper aquifers. The results emphasize the importance of representing anthropogenic processes in land surface modeling and data assimilation systems.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Geophys Res Lett Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Geophys Res Lett Ano de publicação: 2017 Tipo de documento: Article