@article{fdi:010067237,
  title = {{S}tage-discharge rating curves based on satellite altimetry and modeled discharge in the {A}mazon basin},
  author = {{P}aris, {A}. and {D}ias de {P}aiva, {R}. and {S}antos da {S}ilva, {J}. and {M}edeiros {M}oreira, {D}. and {C}almant, {S}t{\'e}phane and {G}arambois, {P}.{A}. and {C}ollischonn, {W}. and {B}onnet, {M}arie-{P}aule and {S}eyler, {F}r{\'e}d{\'e}rique},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n this study, rating curves ({RC}s) were determined by applying satellite altimetry to a poorly gauged basin. {T}his study demonstrates the synergistic application of remote sensing and watershed modeling to capture the dynamics and quantity of flow in the {A}mazon {R}iver {B}asin, respectively. {T}hree major advancements for estimating basin-scale patterns in river discharge are described. {T}he first advancement is the preservation of the hydrological meanings of the parameters expressed by {M}anning’s equation to obtain a data set containing the elevations of the river beds throughout the basin. {T}he second advancement is the provision of parameter uncertainties and, therefore, the uncertainties in the rated discharge. {T}he third advancement concerns estimating the discharge while considering backwater effects. {W}e analyzed the {A}mazon {B}asin using nearly one thousand series that were obtained from {ENVISAT} and {J}ason-2 altimetry for more than 100 tributaries. {D}ischarge values and related uncertainties were obtained from the rain-discharge {MGB}-{IPH} model. {W}e used a global optimization algorithm based on the {M}onte {C}arlo {M}arkov {C}hain and {B}ayesian framework to determine the rating curves. {T}he data were randomly allocated into 80% calibration and 20% validation subsets. {A} comparison with the validation samples produced a {N}ash-{S}utcliffe efficiency ({E}ns) of 0.68. {W}hen the {MGB} discharge uncertainties were less than 5%, the {E}ns value increased to 0.81 (mean). {A} comparison with the in situ discharge resulted in an {E}ns value of 0.71 for the validation samples (and 0.77 for calibration). {T}he {E}ns values at the mouths of the rivers that experienced backwater effects significantly improved when the mean monthly slope was included in the {RC}. {O}ur {RC}s were not mission-dependent, and the {E}ns value was preserved when applying {ENVISAT} rating curves to {J}ason-2 altimetry at crossovers. {T}he cease-to-flow parameter of our {RC}s provided a good proxy for determining river bed elevation. {T}his proxy was validated against {A}coustic {D}oppler current profiler ({ADCP}) cross sections with an accuracy of more than 90%. {A}ltimetry measurements are routinely delivered within a few days, and this {RC} data set provides a simple and cost-effective tool for predicting discharge throughout the basin in nearly real time.},
  keywords = {{DEBIT} ; {NIVEAU} {DE} {L}'{EAU} ; {COURS} {D}'{EAU} ; {ESTIMATION} ; {TELEDETECTION} {SPATIALE} ; {ALTIMETRIE} ; {MODELISATION} ; {ETALONNAGE} ; {VALIDATION} ; {AMAZONIE} ; {BRESIL} ; {PEROU} ; {COLOMBIE} ; {AMAZONE} {BASSIN} {VERSANT}},
  booktitle = {},
  journal = {{W}ater {R}esources {R}esearch},
  volume = {52},
  numero = {5},
  pages = {3787--3814},
  ISSN = {0043-1397},
  year = {2016},
  DOI = {10.1002/2014{WR}016618},
  URL = {https://www.documentation.ird.fr/hor/fdi:010067237},
}