Use of SWOT Data for Hydrodynamic Modelling in a Tropical Microtidal Estuarine System: The Case of Casamance (Senegal)
Since the early 1990s, satellite altimetry has significantly improved our understanding of coastal and estuarine dynamics. The Casamance estuary in Senegal exemplifies a tropical microtidal system with limited instrumentation despite pressing environmental, social, and navigational concerns. This study explores the potential of SWOT satellite data to support the calibration and validation of high-resolution hydrodynamic models. Multi-source dataset of in situ measurements and altimetry observations has been combined with numerical modelling to investigate the hydrodynamics in response to physical drivers. Statistical metrics were used to quantify model performance. Results show that SWOT accurately captures water level variations in the main channel (width 800 m to 5 km), including both tidal and non-tidal contributions, with high correlation (R = 0.90) and low error (RMSE < 0.25 m). Performance decreases in tributaries (R = 0.42, RMSE up to 0.34 m), due to interpolated bathymetry and complex local dynamics. Notably, Delft3D achieves R = 0.877 at Diogué (RMSE = 0.204 m) and R = 0.843 at Carabane (RMSE = 0.225 m). These findings highlight the strategic value of SWOT for improving hydrodynamic modelling in data-scarce estuarine environments.
Authors
- Bamol Ali Sow
- Edward Salameh (ORCID: https://orcid.org/0000-0002-7632-1420)
- Julien Deloffre (ORCID: https://orcid.org/0009-0007-8746-9846)
- Carlos López Solano (ORCID: https://orcid.org/0000-0002-4710-0805)
- Robert Lafite (ORCID: https://orcid.org/0000-0002-9828-4018)
- Issa Sakho (ORCID: https://orcid.org/0000-0001-8733-2195)
- Imen Turki (ORCID: https://orcid.org/0000-0002-5919-2620)
- Amadou Diouf (ORCID: https://orcid.org/0009-0002-4369-5466)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Ziguinchor University (SN)
- Université Amadou Hampaté Ba (SN)
- Normandie Université (FR)
- Université de Rouen Normandie (FR)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-09-20
- DOI
- https://doi.org/10.3390/rs17183252
- Citations
- 1
- Primary Topic
- Coastal wetland ecosystem dynamics
- Type
- article
- Field-Weighted Citation Impact
- 1.72
Funders
- Ministry of Environment
- Université Cheikh Anta Diop de Dakar
- Ministry of Environment and Sustainable Development