@article{fdi:010063137,
  title = {{C}ombining data sets of satellite-retrieved products for basin-scale water balance study : 2. {E}valuation on the {M}ississippi {B}asin and closure correction model},
  author = {{M}unier, {S}. and {A}ires, {F}. and {S}chlaffer, {S}. and {P}rigent, {C}. and {P}apa, {F}abrice and {M}aisongrande, {P}. and {P}an, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n this study, we applied the integration methodology developed in the companion paper by {A}ires (2014) by using real satellite observations over the {M}ississippi {B}asin. {T}he methodology provides basin-scale estimates of the four water budget components (precipitation {P}, evapotranspiration {E}, water storage change {D}elta {S}, and runoff {R}) in a two-step process: the {S}imple {W}eighting ({SW}) integration and a {P}ostprocessing {F}iltering ({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} {C}losure {C}orrection {M}odel ({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. {T}he {CCM} allows to standardize the various data sets for each component and highly decrease the budget residual ({P} - {E} - {D}elta {S} - {R}). {A}s a direct application, the {CCM} was combined with the water budget equation to reconstruct missing values in any component. {R}esults of a {M}onte {C}arlo 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. {S}imilarly, we proposed a reconstruction of {D}elta {S} between 1990 and 2002 where no {G}ravity {R}ecovery and {C}limate {E}xperiment data are available. {U}nlike most of the studies dealing with the water budget closure at the basin scale, only satellite observations and in situ runoff measurements are used. {C}onsequently, the integrated data sets are model independent and can be used for model calibration or validation.},
  keywords = {{ETATS} {UNIS}},
  booktitle = {},
  journal = {{J}ournal of {G}eophysical {R}esearch : {A}tmospheres},
  volume = {119},
  numero = {21},
  pages = {12100--12116},
  ISSN = {2169-897{X}},
  year = {2014},
  DOI = {10.1002/2014jd021953},
  URL = {https://www.documentation.ird.fr/hor/fdi:010063137},
}