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A first look at river discharge estimation from SWOT satellite observations

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DataCite Commons2025-03-10 更新2025-04-16 收录
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http://dataverse.jpl.nasa.gov/citation?persistentId=doi:10.48577/jpl.SFSKSV
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The Surface Water and Ocean Topography (SWOT) satellite has the potential to transform global hydrologic science by offering simultaneous and synoptic estimates of river discharge and other hydraulic variables. A first assessment using just the highest quality SWOT measurements, over the first 15 months (March 2023-July 2024) of the mission evaluated at 65 gauged reaches shows results consistent with pre-launch expectations. SWOT estimates track discharge dynamics without relying on any gauge information: median correlation is 0.73, with a correlation interquartile range of 0.51 to 0.89. SWOT estimates capture discharge magnitude correctly in some cases but are biased (median bias is 50%) in others. There are already a total of 11,274 ungauged global locations with highest quality SWOT measurements where SWOT discharge is expected to accurately track discharge variations: this value will increase as SWOT data record length grows, algorithms are refined and SWOT measurements are reprocessed.
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Root
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2025-03-10
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