@article{fdi:010084283,
  title = {{D}ischarge estimation via assimilation of multisatellite-based discharge products : case study over the {A}mazon basin},
  author = {{E}mery, {C}. {M}. and {P}aris, {A}. and {B}iancamaria, {S}. and {B}oone, {A}. and {C}almant, {S}t{\'e}phane and {G}arambois, {P}. {A}. and {D}a {S}ilva, {J}. {S}. and {D}avid, {C}. {H}.},
  editor = {},
  language = {{ENG}},
  abstract = {{R}iver flows are an essential component of the water cycle and are directly accessible for human consumption and activities. {R}iver water flux (i.e., river discharge) not only can be measured locally at in situ gauges but also can be estimated at larger scales with the river routing models. {H}owever, the number of in situ gauges is declining worldwide while emerging river-related products from satellites are becoming more available. {E}specially, discharge products based on satellite altimetry water elevations are emerging. {T}hese altimetry missions provide different spatial and temporal coverages and may not provide the same amount of information. {I}n this study, discharge products from two satellite altimetry missions ({ENVISAT} and {JASON}-2) were assimilated into the large-scale hydrologic model {I}nteractions {S}ol-{B}iosphere-{A}tmosphere-{CNRM}'s {T}otal {R}unoff and {I}ntegrating {P}athways ({ISBA}-{CTRIP}) using an ensemble {K}alman filter, to correct the simulated discharge. {T}his work investigates whether it is better to assimilate products with a dense spatial coverage but a lower temporal sampling ({ENVISAT}) or the opposite ({JASON}-2). {T}hree experiments have been performed: the first two assimilated each product separately, and the last one assimilated the combined product. {T}he open-loop normalized root-mean-square error evaluated against in situ discharge ({RMSE}n) is 69%. {RMSE}n is decreased for all experiments. {S}pecifically, it is slightly lower when assimilating {ENVISAT}-based discharge product (51%) than {JASON}-2 product (53%) as the {ENVISAT}-based product spatial coverage is denser. {T}he best results are obtained when both products are assimilated ({RMSE}n=49%). {T}hese results are very encouraging and could be improved when the future {S}urface {W}ater and {O}cean {T}opography ({SWOT}) wide swath altimetry mission discharge product will be available.},
  keywords = {{D}ischarges (electric) ; {R}ivers ; {S}urface topography ; {S}urface discharges ; {A}ltimetry ; {R}emote sensing ; {S}atellites ; {A}mazon river ; data assimilation ({DA}) ; large-scale hydrologic model ; remotely sensed discharge derived ; products ; {BRESIL} ; {BOLIVIE} ; {PEROU} ; {COLOMBIE} ; {AMAZONE} {BASSIN}},
  booktitle = {},
  journal = {{IEEE} {G}eoscience and {R}emote {S}ensing {L}etters},
  volume = {19},
  numero = {},
  pages = {1500205 [5 ]},
  ISSN = {1545-598{X}},
  year = {2022},
  DOI = {10.1109/lgrs.2020.3020285},
  URL = {https://www.documentation.ird.fr/hor/fdi:010084283},
}