Volume 7 Issue 1
Jan.  2014
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Article Navigation >  Water Science and Engineering  > 2014  >  7(1): 5-16
Vagner G. FERREIRA, Samuel Ato ANDAM-AKORFUL, Xiu-feng HE, Ru-ya XIAO. 2014: Estimating water storage changes and sink terms in Volta Basin from satellite missions. Water Science and Engineering, 7(1): 5-16. doi: 10.3882/j.issn.1674-2370.2014.01.002
Citation: Vagner G. FERREIRA, Samuel Ato ANDAM-AKORFUL, Xiu-feng HE, Ru-ya XIAO. 2014: Estimating water storage changes and sink terms in Volta Basin from satellite missions. Water Science and Engineering, 7(1): 5-16. doi: 10.3882/j.issn.1674-2370.2014.01.002
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Estimating water storage changes and sink terms in Volta Basin from satellite missions

doi: 10.3882/j.issn.1674-2370.2014.01.002
  • 1.

    School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, P. R. China

  • 2.

    Department of Geomatic Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

  • 3.

    Institute of Satellite Navigation and Spatial Information Systems, Hohai University,  Nanjing 210098, P. R. China

Funds:  This work was supported by the Fundamental Research Funds for the Central Universities (Grant No. 2012B01314).
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  • Corresponding author: Vagner G. FERREIRA
  • Received Date: 2012-12-10
  • Rev Recd Date: 2013-03-10
    Abstract
  • The insufficiency of distributed in situ hydrological measurements is a major challenge for hydrological studies in many regions of the world. Satellite missions such as the Gravity Recovery and Climate Experiment (GRACE) and the Tropical Rainfall Measurement Mission (TRMM) can be used to improve our understanding of water resources beyond surface water in poorly gauged basins. In this study we combined GRACE and TRMM to investigate monthly estimates of evaporation plus runoff (sink terms) using the water balance equation for the period from January 2005 to December 2010 within the Volta Basin. These estimates have been validated by comparison with time series of sink terms (evaporation plus surface and subsurface runoff) from the Global Land Data Assimilation System (GLDAS). The results, for the period under consideration, show strong agreement between both time series, with a root mean square error (RMSE) of   20.2 mm/month (0.67 mm/d) and a correlation coefficient of 0.85. This illustrates the ability of GRACE to predict hydrological quantities, e.g. evaporation, in the Volta Basin. The water storage change data from GRACE and precipitation data from TRMM all show qualitative agreement, with evidence of basin saturation at approximately 73 mm in the equivalent water column at the annual and semi-annual time scales.   
     

     

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