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Persistent Identifier
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perma:LIST.DBNIZ4 |
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Publication Date
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2026-07-06 |
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Title
| Assimilation of SWOT nodes products into basin-scale hydraulic models [* Cross-Reference *] |
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Other Identifier
| https://doi.org/10.24400/527896/a03-2025.4293
OpenAlex ID: https://openalex.org/W7105683371 |
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Author
| Cassan, Ludovic (Centre National de la Recherche Scientifique, Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique, Institut de Recherche pour le Développement)
Oubanas, Hind (Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement)
Malaterre, Pierre-Olivier (Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement)
Ricci, Sophie (Centre National de la Recherche Scientifique, Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique, Institut de Recherche pour le Développement)
Bonassies, Quentin (Centre National de la Recherche Scientifique, Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique, Institut de Recherche pour le Développement)
Gejadze, Igor (Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement)
Piancentini, Andrea (Centre National de la Recherche Scientifique, Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique, Institut de Recherche pour le Développement)
Nguyen, Thanh Huy (Luxembourg Institute of Science and Technology)
Matgen, Patrick (Luxembourg Institute of Science and Technology)
Chini, Marco (Luxembourg Institute of Science and Technology) |
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Point of Contact
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LIST QDKM (LIST) |
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Description
| This study leverages the innovative capabilities of the SWOT, especially its river node products, to enhance the accuracy of riverine flood reanalysis, performed on a 50-km stretch of the Garonne River (France). The experiments incorporate various data assimilation strategies, based on the ensemble Kalman filter, which allows for sequential updates of hydraulic model parameters based on available observations. The assessments with respect to a reference simulation in OSSE mode (using synthetical SWOT-like observations) as well as with respect to Sentinel-1 and Sentinel-6 data for a real event, show that while SWOT data alone offers some improvements. In addition, combining SWOT river node products with in-situ water level measurements provides the most accurate representation of flood dynamics, both at gauge stations and along the river. Similar analyses are also carried out over other challenging catchments such as Ohio and Mississippi Rivers (US) and Severn River (UK). It was demonstrated that the assimilation of SWOT offers promising prospects for future river dynamics and flood monitoring systems making the most of various and complementary strengths of Earth Observation data. In addition, we explore the combined assimilation of SWOT WSE and altimetry satellite data to estimate river discharge over a set of study areas to improve the temporal frequency. These estimates can then be assimilated into global hydrological/routing models (RAPID, ISBA-CTRIP) to further enhance the estimates at finer scales. (2025-01-01)
***This entry has been automatically imported via OpenAlex by LIST harvest scripts. Please refer to https://doi.org/10.24400/527896/a03-2025.4293 for the original and latest version of the publication*** (2026-07-01) |
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Subject
| Earth and Environmental Sciences; Physics |
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Keyword
| SWOT analysis
Data assimilation
Flood myth
Flood forecasting
Flood control
Satellite
Assimilation (phonology)
Ensemble Kalman filter |
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Topic Classification
| Flood Risk Assessment and Management
Hydrology and Watershed Management Studies
Hydrology and Sediment Transport Processes |
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Deposit Date
| 2025-01-01 |
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Data Type
| Article |
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Data Source
| Open MIND |