Estimating River Discharge With Swath Altimetry: A Proof of Concept Using AirSWOT Observations
Abstract The forthcoming Surface Water and Ocean Topography (SWOT) satellite mission will provide global measurements of the free surface of large rivers, providing new opportunities for remote sensing‐derived estimates of river discharge in gaged and ungaged basins. SWOT discharge algorithms have b...
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| Format: | Article |
| Language: | English |
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Wiley
2019-02-01
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| Series: | Geophysical Research Letters |
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| Online Access: | https://doi.org/10.1029/2018GL080771 |
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| author | S. Tuozzolo G. Lind B. Overstreet J. Mangano M. Fonstad M. Hagemann R. P. M. Frasson K. Larnier P.‐A. Garambois J. Monnier M. Durand |
| author_facet | S. Tuozzolo G. Lind B. Overstreet J. Mangano M. Fonstad M. Hagemann R. P. M. Frasson K. Larnier P.‐A. Garambois J. Monnier M. Durand |
| author_sort | S. Tuozzolo |
| collection | DOAJ |
| description | Abstract The forthcoming Surface Water and Ocean Topography (SWOT) satellite mission will provide global measurements of the free surface of large rivers, providing new opportunities for remote sensing‐derived estimates of river discharge in gaged and ungaged basins. SWOT discharge algorithms have been developed and benchmarked using synthetic data but remain untested on real‐world swath altimetry observations. We present the first discharge estimates from AirSWOT, a SWOT‐like airborne Ka‐band radar, using 6 days of measurements over a 40‐km segment of the Willamette River in Oregon, USA. The three evaluated discharge algorithms estimated discharge with normalized root‐mean‐square errors of 10–31% when compared with in situ gage data but were sensitive to an initial estimate of mean annual discharge. Our results show that these discharge algorithms provide reliable discharge estimates on remotely sensed data at SWOT‐like spatial scales while highlighting the need for further algorithm sensitivity tests. |
| format | Article |
| id | doaj-art-528a9d5c4cdf4081a5ffc133acacf87b |
| institution | OA Journals |
| issn | 0094-8276 1944-8007 |
| language | English |
| publishDate | 2019-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geophysical Research Letters |
| spelling | doaj-art-528a9d5c4cdf4081a5ffc133acacf87b2025-08-20T01:51:45ZengWileyGeophysical Research Letters0094-82761944-80072019-02-014631459146610.1029/2018GL080771Estimating River Discharge With Swath Altimetry: A Proof of Concept Using AirSWOT ObservationsS. Tuozzolo0G. Lind1B. Overstreet2J. Mangano3M. Fonstad4M. Hagemann5R. P. M. Frasson6K. Larnier7P.‐A. Garambois8J. Monnier9M. Durand10Byrd Polar and Climate Research Center Ohio State University Columbus OH USAUSGS Oregon Water Science Center Portland OR USAUSGS Oregon Water Science Center Portland OR USAUSGS Oregon Water Science Center Portland OR USADepartment of Geography University of Oregon Eugene OR USAByrd Polar and Climate Research Center Ohio State University Columbus OH USAByrd Polar and Climate Research Center Ohio State University Columbus OH USACS Corporation, Business Unit Espace Toulouse FranceINSA Strasbourg Strasbourg FranceInstitut de Mathématiques de Toulouse Toulouse FranceByrd Polar and Climate Research Center Ohio State University Columbus OH USAAbstract The forthcoming Surface Water and Ocean Topography (SWOT) satellite mission will provide global measurements of the free surface of large rivers, providing new opportunities for remote sensing‐derived estimates of river discharge in gaged and ungaged basins. SWOT discharge algorithms have been developed and benchmarked using synthetic data but remain untested on real‐world swath altimetry observations. We present the first discharge estimates from AirSWOT, a SWOT‐like airborne Ka‐band radar, using 6 days of measurements over a 40‐km segment of the Willamette River in Oregon, USA. The three evaluated discharge algorithms estimated discharge with normalized root‐mean‐square errors of 10–31% when compared with in situ gage data but were sensitive to an initial estimate of mean annual discharge. Our results show that these discharge algorithms provide reliable discharge estimates on remotely sensed data at SWOT‐like spatial scales while highlighting the need for further algorithm sensitivity tests.https://doi.org/10.1029/2018GL080771AirSWOTfluvial hydrologyremote sensingdischarge algorithms |
| spellingShingle | S. Tuozzolo G. Lind B. Overstreet J. Mangano M. Fonstad M. Hagemann R. P. M. Frasson K. Larnier P.‐A. Garambois J. Monnier M. Durand Estimating River Discharge With Swath Altimetry: A Proof of Concept Using AirSWOT Observations Geophysical Research Letters AirSWOT fluvial hydrology remote sensing discharge algorithms |
| title | Estimating River Discharge With Swath Altimetry: A Proof of Concept Using AirSWOT Observations |
| title_full | Estimating River Discharge With Swath Altimetry: A Proof of Concept Using AirSWOT Observations |
| title_fullStr | Estimating River Discharge With Swath Altimetry: A Proof of Concept Using AirSWOT Observations |
| title_full_unstemmed | Estimating River Discharge With Swath Altimetry: A Proof of Concept Using AirSWOT Observations |
| title_short | Estimating River Discharge With Swath Altimetry: A Proof of Concept Using AirSWOT Observations |
| title_sort | estimating river discharge with swath altimetry a proof of concept using airswot observations |
| topic | AirSWOT fluvial hydrology remote sensing discharge algorithms |
| url | https://doi.org/10.1029/2018GL080771 |
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