Literature DB >> 29643570

Benefits and Pitfalls of GRACE Data Assimilation: a Case Study of Terrestrial Water Storage Depletion in India.

Manuela Girotto1,2, Gabriëlle J M De Lannoy3, Rolf H Reichle1, Matthew Rodell4, Clara Draper5,6, Soumendra N Bhanja7, Abhijit Mukherjee7,8.   

Abstract

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.

Year:  2017        PMID: 29643570      PMCID: PMC5889943          DOI: 10.1002/2017GL072994

Source DB:  PubMed          Journal:  Geophys Res Lett        ISSN: 0094-8276            Impact factor:   4.720


  3 in total

1.  GRACE measurements of mass variability in the Earth system.

Authors:  Byron D Tapley; Srinivas Bettadpur; John C Ries; Paul F Thompson; Michael M Watkins
Journal:  Science       Date:  2004-07-23       Impact factor: 47.728

2.  Environmental science. Water in the balance.

Authors:  James S Famiglietti; Matthew Rodell
Journal:  Science       Date:  2013-06-14       Impact factor: 47.728

3.  Satellite-based estimates of groundwater depletion in India.

Authors:  Matthew Rodell; Isabella Velicogna; James S Famiglietti
Journal:  Nature       Date:  2009-08-12       Impact factor: 49.962

  3 in total
  4 in total

1.  GRACE improves seasonal groundwater forecast initialization over the U.S.

Authors:  Augusto Getirana; Matthew Rodell; Sujay Kumar; Hiroko Kato Beaudoing; Kristi Arsenault; Benjamin Zaitchik; Himanshu Save; Srinivas Bettadpur
Journal:  J Hydrometeorol       Date:  2020-01-16       Impact factor: 4.349

2.  NCA-LDAS: Overview and Analysis of Hydrologic Trends for the National Climate Assessment.

Authors:  Michael F Jasinski; Jordan S Borak; Sujay V Kumar; David M Mocko; Christa D Peters-Lidard; Matthew Rodell; Hualan Rui; Hiroko K Beaudoing; Bruce E Vollmer; Kristi R Arsenault; Bailing Li; John D Bolten; Natthachet Tangdamrongsub
Journal:  J Hydrometeorol       Date:  2019-07-30       Impact factor: 4.349

3.  Drought characterization over Indian sub-continent using GRACE-based indices.

Authors:  Shivam Rawat; Abinesh Ganapathy; Ankit Agarwal
Journal:  Sci Rep       Date:  2022-09-14       Impact factor: 4.996

4.  The 2019-2020 Rise in Lake Victoria Monitored from Space: Exploiting the State-of-the-Art GRACE-FO and the Newly Released ERA-5 Reanalysis Products.

Authors:  Mehdi Khaki; Joseph Awange
Journal:  Sensors (Basel)       Date:  2021-06-23       Impact factor: 3.576

  4 in total

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