@article{fdi:010093801,
  title = {{E}nhancing discharge estimation from {SWOT} satellite data in a tropical tidal river environment},
  author = {{R}odrigues do {A}maral, {F}. and {P}ellarin, {T}. and {T}rung, {T}.{N}. and {A}nh {T}u, {T}. and {G}ratiot, {N}icolas},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {S}urface {W}ater and {O}cean {T}opography ({SWOT}) mission aims to provide essential data on river width, height and slope in order to estimate worldwide river discharge accurately. {T}his mission offers a powerful tool for monitoring river discharge in dynamic coastal areas, like the {S}aigon-{D}ongnai estuary in {S}outhern {V}ietnam. {H}owever, estimating discharge of tidally-influenced rivers using {SWOT} measurements can be challenging when hydraulic variables have the same order of magnitude as {SWOT} measurement errors. {I}n this paper we present a methodology to enhance discharge estimation accuracy from {SWOT} measurements based on simulated {SWOT} products at the 200 meter node resolution and varying river reach size. {W}e assess measurement error variability and its impact on discharge estimation by employing a {M}onte {C}arlo analysis. {O}ur approach significantly improved discharge estimation in the {S}aigon tidal river, reducing {RMSE} from 1400 m<jats:sup>3</jats:sup>/s to 180 m<jats:sup>3</jats:sup>/s and increasing {R}² from 0.31 to 0.95. {N}otably, the percentage of {M}onte {C}arlo particles meeting the 30% r{RMSE} threshold rose from 0% to 79%. {T}his study underscores the feasibility of obtaining reliable discharge estimates from {SWOT} data in complex coastal areas where hydraulic variables are of the same order of magnitude as {SWOT} errors. {A}dditionally, the proposed methodology to improve discharge estimation from {SWOT} measurements is widely adaptable as it can be applied to similar regions and can be combined with any discharge estimation method.},
  keywords = {{VIET} {NAM} ; {SAIGON} {ESTUAIRE} ; {SAIGON} {RIVIERE}},
  booktitle = {},
  journal = {{PL}o{S} {W}ater},
  volume = {3},
  numero = {2},
  pages = {e0000226 [25 ]},
  ISSN = {2767-3219},
  year = {2024},
  DOI = {10.1371/journal.pwat.0000226},
  URL = {https://www.documentation.ird.fr/hor/fdi:010093801},
}