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Combining data sets of satellite-retrieved products for basin-scale water balance study: 2. Evaluation on the Mississippi Basin and closure correction model

Munier, Simon, Aires, Filipe, Schlaffer, Stefan, Prigent, Catherine, Papa, Fabrice, Maisongrande, Philippe, and Pan, Ming, 2014. Combining data sets of satellite-retrieved products for basin-scale water balance study: 2. Evaluation on the Mississippi Basin and closure correction model. Journal of Geophysical Research (Atmospheres), 119(21):12,100–12,116, doi:10.1002/2014JD021953.

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@ARTICLE{2014JGRD..11912100M,
       author = {{Munier}, Simon and {Aires}, Filipe and {Schlaffer}, Stefan and {Prigent}, Catherine and {Papa}, Fabrice and {Maisongrande}, Philippe and {Pan}, Ming},
        title = "{Combining data sets of satellite-retrieved products for basin-scale water balance study: 2. Evaluation on the Mississippi Basin and closure correction model}",
      journal = {Journal of Geophysical Research (Atmospheres)},
     keywords = {water budget closure, basin scale, satellite product, remote sensing},
         year = 2014,
        month = nov,
       volume = {119},
       number = {21},
        pages = {12,100-12,116},
     abstract = "{In this study, we applied the integration methodology developed in the
        companion paper by Aires (2014) by using real satellite
        observations over the Mississippi Basin. The methodology
        provides basin-scale estimates of the four water budget
        components (precipitation P, evapotranspiration E, water storage
        change {\ensuremath{\Delta}}S, and runoff R) in a two-step
        process: the Simple Weighting (SW) integration and a
        Postprocessing Filtering (PF) that imposes the water budget
        closure. A comparison with in situ observations of P and E
        demonstrated that PF improved the estimation of both components.
        A Closure Correction Model (CCM) has been derived from the
        integrated product (SW+PF) that allows to correct each
        observation data set independently, unlike the SW+PF method
        which requires simultaneous estimates of the four components.
        The CCM allows to standardize the various data sets for each
        component and highly decrease the budget residual (P - E -
        {\ensuremath{\Delta}}S - R). As a direct application, the CCM
        was combined with the water budget equation to reconstruct
        missing values in any component. Results of a Monte Carlo
        experiment with synthetic gaps demonstrated the good
        performances of the method, except for the runoff data that has
        a variability of the same order of magnitude as the budget
        residual. Similarly, we proposed a reconstruction of
        {\ensuremath{\Delta}}S between 1990 and 2002 where no Gravity
        Recovery and Climate Experiment data are available. Unlike most
        of the studies dealing with the water budget closure at the
        basin scale, only satellite observations and in situ runoff
        measurements are used. Consequently, the integrated data sets
        are model independent and can be used for model calibration or
        validation.}",
          doi = {10.1002/2014JD021953},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2014JGRD..11912100M},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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