Assessing the capabilities of the Surface Water and Ocean Topography (SWOT) mission for large lake water surface elevation monitoring under different wind conditions
<p>Lakes are important sources of freshwater and provide essential ecosystem services. Monitoring their spatial and temporal variability, and their functions, is an important task within the development of sustainable water management strategies. The Surface Water and Ocean Topography (SWOT) m...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2020-12-01
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| Series: | Hydrology and Earth System Sciences |
| Online Access: | https://hess.copernicus.org/articles/24/5985/2020/hess-24-5985-2020.pdf |
| _version_ | 1818594532008132608 |
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| author | J. Bergeron G. Siles R. Leconte M. Trudel D. Desroches D. L. Peters |
| author_facet | J. Bergeron G. Siles R. Leconte M. Trudel D. Desroches D. L. Peters |
| author_sort | J. Bergeron |
| collection | DOAJ |
| description | <p>Lakes are important sources of freshwater and provide
essential ecosystem services. Monitoring their spatial and temporal
variability, and their functions, is an important task within the
development of sustainable water management strategies. The Surface Water
and Ocean Topography (SWOT) mission will provide continuous information on
the dynamics of continental (rivers, lakes, wetlands and reservoirs) and
ocean water bodies. This work aims to contribute to the international effort evaluating the SWOT satellite (2022 launch) performance for water balance assessment over large lakes (e.g., <span class="inline-formula"><i>></i>100</span> km<span class="inline-formula"><sup>2</sup></span>). For this purpose, a hydrodynamic model was set up over Mamawi Lake, Canada, and different wind scenarios on lake hydrodynamics were simulated. The derived water surface elevations (WSEs) were compared to synthetic elevations produced by the Jet Propulsion Laboratory (JPL) SWOT high resolution (SWOT-HR) simulator. Moreover, water storages and net flows were retrieved from different possible SWOT orbital configurations and synthetic
gauge measurements. In general, a good agreement was found between the WSE
simulated from the model and those mimicked by the SWOT-HR simulator.
Depending on the wind scenario, errors ranged between approximately <span class="inline-formula">−2</span> and 5 cm for mean error and from 30 to 70 cm root mean square error. Low spatial coverage of the lake was found to generate important biases in the
retrievals of water volume or net flow between two satellite passes in the
presence of local heterogeneities in WSE. However, the precision of
retrievals was found to increase as spatial coverage increases, becoming
more reliable than the retrievals from three synthetic gauges when spatial
coverage approaches 100 %, demonstrating the capabilities of the future
SWOT mission in monitoring dynamic WSE for large lakes across Canada.</p> |
| first_indexed | 2024-12-16T11:01:37Z |
| format | Article |
| id | doaj.art-b07c6c68887b4953aa1cae3673fb7e69 |
| institution | Directory Open Access Journal |
| issn | 1027-5606 1607-7938 |
| language | English |
| last_indexed | 2024-12-16T11:01:37Z |
| publishDate | 2020-12-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Hydrology and Earth System Sciences |
| spelling | doaj.art-b07c6c68887b4953aa1cae3673fb7e692022-12-21T22:34:00ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382020-12-01245985600010.5194/hess-24-5985-2020Assessing the capabilities of the Surface Water and Ocean Topography (SWOT) mission for large lake water surface elevation monitoring under different wind conditionsJ. Bergeron0G. Siles1R. Leconte2M. Trudel3D. Desroches4D. L. Peters5Département de génie civil et de génie du bâtiment, Faculté de génie, Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, CanadaDépartement de génie civil et de génie du bâtiment, Faculté de génie, Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, CanadaDépartement de génie civil et de génie du bâtiment, Faculté de génie, Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, CanadaDépartement de génie civil et de génie du bâtiment, Faculté de génie, Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, CanadaCentre National d'Études Spatiales (CNES), 31400 Toulouse, FranceWatershed Hydrology and Ecology Research Division, Environment and Climate Change Canada, University of Victoria, Victoria, BC, V8W 3R4, Canada<p>Lakes are important sources of freshwater and provide essential ecosystem services. Monitoring their spatial and temporal variability, and their functions, is an important task within the development of sustainable water management strategies. The Surface Water and Ocean Topography (SWOT) mission will provide continuous information on the dynamics of continental (rivers, lakes, wetlands and reservoirs) and ocean water bodies. This work aims to contribute to the international effort evaluating the SWOT satellite (2022 launch) performance for water balance assessment over large lakes (e.g., <span class="inline-formula"><i>></i>100</span> km<span class="inline-formula"><sup>2</sup></span>). For this purpose, a hydrodynamic model was set up over Mamawi Lake, Canada, and different wind scenarios on lake hydrodynamics were simulated. The derived water surface elevations (WSEs) were compared to synthetic elevations produced by the Jet Propulsion Laboratory (JPL) SWOT high resolution (SWOT-HR) simulator. Moreover, water storages and net flows were retrieved from different possible SWOT orbital configurations and synthetic gauge measurements. In general, a good agreement was found between the WSE simulated from the model and those mimicked by the SWOT-HR simulator. Depending on the wind scenario, errors ranged between approximately <span class="inline-formula">−2</span> and 5 cm for mean error and from 30 to 70 cm root mean square error. Low spatial coverage of the lake was found to generate important biases in the retrievals of water volume or net flow between two satellite passes in the presence of local heterogeneities in WSE. However, the precision of retrievals was found to increase as spatial coverage increases, becoming more reliable than the retrievals from three synthetic gauges when spatial coverage approaches 100 %, demonstrating the capabilities of the future SWOT mission in monitoring dynamic WSE for large lakes across Canada.</p>https://hess.copernicus.org/articles/24/5985/2020/hess-24-5985-2020.pdf |
| spellingShingle | J. Bergeron G. Siles R. Leconte M. Trudel D. Desroches D. L. Peters Assessing the capabilities of the Surface Water and Ocean Topography (SWOT) mission for large lake water surface elevation monitoring under different wind conditions Hydrology and Earth System Sciences |
| title | Assessing the capabilities of the Surface Water and Ocean Topography (SWOT) mission for large lake water surface elevation monitoring under different wind conditions |
| title_full | Assessing the capabilities of the Surface Water and Ocean Topography (SWOT) mission for large lake water surface elevation monitoring under different wind conditions |
| title_fullStr | Assessing the capabilities of the Surface Water and Ocean Topography (SWOT) mission for large lake water surface elevation monitoring under different wind conditions |
| title_full_unstemmed | Assessing the capabilities of the Surface Water and Ocean Topography (SWOT) mission for large lake water surface elevation monitoring under different wind conditions |
| title_short | Assessing the capabilities of the Surface Water and Ocean Topography (SWOT) mission for large lake water surface elevation monitoring under different wind conditions |
| title_sort | assessing the capabilities of the surface water and ocean topography swot mission for large lake water surface elevation monitoring under different wind conditions |
| url | https://hess.copernicus.org/articles/24/5985/2020/hess-24-5985-2020.pdf |
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