TY - JOUR
T1 - A Framework for Estimating Global River Discharge From the Surface Water and Ocean Topography Satellite Mission
AU - Durand, Michael
AU - Gleason, Colin J.
AU - Pavelsky, Tamlin M.
AU - Prata de Moraes Frasson, Renato
AU - Turmon, Michael
AU - David, Cédric H.
AU - Altenau, Elizabeth H.
AU - Tebaldi, Nikki
AU - Larnier, Kevin
AU - Monnier, Jerome
AU - Malaterre, Pierre Olivier
AU - Oubanas, Hind
AU - Allen, George H.
AU - Astifan, Brian
AU - Brinkerhoff, Craig
AU - Bates, Paul D.
AU - Bjerklie, David
AU - Coss, Stephen
AU - Dudley, Robert
AU - Fenoglio, Luciana
AU - Garambois, Pierre André
AU - Getirana, Augusto
AU - Lin, Peirong
AU - Margulis, Steven A.
AU - Matte, Pascal
AU - Minear, J. Toby
AU - Muhebwa, Aggrey
AU - Pan, Ming
AU - Peters, Daniel
AU - Riggs, Ryan
AU - Sikder, Md Safat
AU - Simmons, Travis
AU - Stuurman, Cassie
AU - Taneja, Jay
AU - Tarpanelli, Angelica
AU - Schulze, Kerstin
AU - Tourian, Mohammad J.
AU - Wang, Jida
N1 - Funding Information:
R. P. M. Frasson, C. H. David, and C. Stuurman were supported by the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the U.S. National Aeronautics and Space Administration. Teams at Kansas State University, Ohio State University, and the University of Massachusetts were supported by NASA SWOT Science Team Grants 80NSSC20K1143, 80NSSC20K1141, and 80NSSC20K1339, respectively. Paul Bates was supported by a Royal Society Wolfson Research Merit award. H. Oubanas and P.‐O. Malaterre were supported by CNES under the TOSCA‐CNES DAHM contract. The authors would like to acknowledge Whitney Baxter for creating the original art shown in Figures 1, 2 , and 6 . Jeff Dozier, Jack Eggleston, and two anonymous reviewers greatly improved the quality of the manuscript. Confluence input and output data are available at https://zenodo.org/record/7392075#.Y43vrC-B2wA . Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the US Government.
Funding Information:
R. P. M. Frasson, C. H. David, and C. Stuurman were supported by the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the U.S. National Aeronautics and Space Administration. Teams at Kansas State University, Ohio State University, and the University of Massachusetts were supported by NASA SWOT Science Team Grants 80NSSC20K1143, 80NSSC20K1141, and 80NSSC20K1339, respectively. Paul Bates was supported by a Royal Society Wolfson Research Merit award. H. Oubanas and P.-O. Malaterre were supported by CNES under the TOSCA-CNES DAHM contract. The authors would like to acknowledge Whitney Baxter for creating the original art shown in Figures 1, 2, and 6. Jeff Dozier, Jack Eggleston, and two anonymous reviewers greatly improved the quality of the manuscript. Confluence input and output data are available at https://zenodo.org/record/7392075#.Y43vrC-B2wA. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the US Government.
Publisher Copyright:
© 2023 The Authors.
PY - 2023/4
Y1 - 2023/4
N2 - The Surface Water and Ocean Topography (SWOT) mission will vastly expand measurements of global rivers, providing critical new data sets for both gaged and ungaged basins. SWOT discharge products (available approximately 1 year after launch) will provide discharge for all river that reaches wider than 100 m. In this paper, we describe how SWOT discharge produced and archived by the US and French space agencies will be computed from measurements of river water surface elevation, width, and slope and ancillary data, along with expected discharge accuracy. We present for the first time a complete estimate of the SWOT discharge uncertainty budget, with separate terms for random (standard error) and systematic (bias) uncertainty components in river discharge time series. We expect that discharge uncertainty will be less than 30% for two-thirds of global reaches and will be dominated by bias. Separate river discharge estimates will combine both SWOT and in situ data; these “gage-constrained” discharge estimates can be expected to have lower systematic uncertainty. Temporal variations in river discharge time series will be dominated by random error and are expected to be estimated within 15% for nearly all reaches, allowing accurate inference of event flow dynamics globally, including in ungaged basins. We believe this level of accuracy lays the groundwork for SWOT to enable breakthroughs in global hydrologic science.
AB - The Surface Water and Ocean Topography (SWOT) mission will vastly expand measurements of global rivers, providing critical new data sets for both gaged and ungaged basins. SWOT discharge products (available approximately 1 year after launch) will provide discharge for all river that reaches wider than 100 m. In this paper, we describe how SWOT discharge produced and archived by the US and French space agencies will be computed from measurements of river water surface elevation, width, and slope and ancillary data, along with expected discharge accuracy. We present for the first time a complete estimate of the SWOT discharge uncertainty budget, with separate terms for random (standard error) and systematic (bias) uncertainty components in river discharge time series. We expect that discharge uncertainty will be less than 30% for two-thirds of global reaches and will be dominated by bias. Separate river discharge estimates will combine both SWOT and in situ data; these “gage-constrained” discharge estimates can be expected to have lower systematic uncertainty. Temporal variations in river discharge time series will be dominated by random error and are expected to be estimated within 15% for nearly all reaches, allowing accurate inference of event flow dynamics globally, including in ungaged basins. We believe this level of accuracy lays the groundwork for SWOT to enable breakthroughs in global hydrologic science.
KW - discharge
KW - hydrology
KW - inverse problem
KW - remote sensing
KW - SWOT mission
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U2 - 10.1029/2021WR031614
DO - 10.1029/2021WR031614
M3 - Article
AN - SCOPUS:85153865892
SN - 0043-1397
VL - 59
JO - Water Resources Research
JF - Water Resources Research
IS - 4
M1 - e2021WR031614
ER -