Estimating Wind Direction and Wind Speed Over Lakes With Surface Water Ocean Topography and Sentinel‐1 Satellite Observations
Abstract Wind at the water‐air interface is an important driver of hydrologic and biogeochemical processes in lakes. Satellite synthetic aperture radar (SAR) is commonly used over the ocean to retrieve wind fields using backscatter coefficients which are sensitive to wind‐driven surface water roughn...
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| Format: | Article |
| Language: | English |
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American Geophysical Union (AGU)
2025-03-01
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| Series: | Earth and Space Science |
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| Online Access: | https://doi.org/10.1029/2024EA003971 |
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| author | Katie A. McQuillan George H. Allen Jessica Fayne Huilin Gao Jida Wang |
| author_facet | Katie A. McQuillan George H. Allen Jessica Fayne Huilin Gao Jida Wang |
| author_sort | Katie A. McQuillan |
| collection | DOAJ |
| description | Abstract Wind at the water‐air interface is an important driver of hydrologic and biogeochemical processes in lakes. Satellite synthetic aperture radar (SAR) is commonly used over the ocean to retrieve wind fields using backscatter coefficients which are sensitive to wind‐driven surface water roughness; however, its application to lakes has been largely unexplored. Here we assess the utility of SAR to retrieve wind fields specifically for lakes. We estimated wind direction from SAR backscatter using the Modified Local Gradient method for Surface Water Ocean Topography (SWOT) and Sentinel‐1 data. The estimated wind direction was then used as an input into a C‐band geophysical modeling function (GMF) to invert wind speed from Sentinel‐1 data. Comparisons between SWOT backscatter and in situ wind speeds were used to provide a foundation for understanding how SWOT could be used to study wind speeds. Using buoy data for validation, we found wind direction (1 km) mean absolute error (MAE) ranged from 31° to 40° for Sentinel‐1 and 28° to 38° for SWOT. Sentinel‐1 wind speed (100 m) MAE ranged from 1.05 to 2.09 m/s. These retrievals were more accurate and at higher resolution compared to global reanalysis dataset ERA5 (0.25°), with wind direction MAE from 23° to 50° and wind speed MAE from 1.49 to 2.35 m/s. SWOT backscatter sensitivity to wind speed depended on incidence angle, and demonstrated utility for developing a GMF for lakes. These methods could be used to better understand wind dynamics globally, especially over small lakes and in data poor regions. |
| format | Article |
| id | doaj-art-fdcb006f29cc42e0a2da5fc15152c1f5 |
| institution | Kabale University |
| issn | 2333-5084 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | Earth and Space Science |
| spelling | doaj-art-fdcb006f29cc42e0a2da5fc15152c1f52025-08-20T03:47:13ZengAmerican Geophysical Union (AGU)Earth and Space Science2333-50842025-03-01123n/an/a10.1029/2024EA003971Estimating Wind Direction and Wind Speed Over Lakes With Surface Water Ocean Topography and Sentinel‐1 Satellite ObservationsKatie A. McQuillan0George H. Allen1Jessica Fayne2Huilin Gao3Jida Wang4Department of Geosciences Virginia Polytechnic Institute and State University Blacksburg VA USADepartment of Geosciences Virginia Polytechnic Institute and State University Blacksburg VA USADepartment of Earth and Environmental Sciences University of Michigan Ann Arbor MI USAZachry Department of Civil and Environmental Engineering Texas A&M University College Station TX USADepartment of Geography and Geographic Information Science University of Illinois Urbana‐Champaign Urbana IL USAAbstract Wind at the water‐air interface is an important driver of hydrologic and biogeochemical processes in lakes. Satellite synthetic aperture radar (SAR) is commonly used over the ocean to retrieve wind fields using backscatter coefficients which are sensitive to wind‐driven surface water roughness; however, its application to lakes has been largely unexplored. Here we assess the utility of SAR to retrieve wind fields specifically for lakes. We estimated wind direction from SAR backscatter using the Modified Local Gradient method for Surface Water Ocean Topography (SWOT) and Sentinel‐1 data. The estimated wind direction was then used as an input into a C‐band geophysical modeling function (GMF) to invert wind speed from Sentinel‐1 data. Comparisons between SWOT backscatter and in situ wind speeds were used to provide a foundation for understanding how SWOT could be used to study wind speeds. Using buoy data for validation, we found wind direction (1 km) mean absolute error (MAE) ranged from 31° to 40° for Sentinel‐1 and 28° to 38° for SWOT. Sentinel‐1 wind speed (100 m) MAE ranged from 1.05 to 2.09 m/s. These retrievals were more accurate and at higher resolution compared to global reanalysis dataset ERA5 (0.25°), with wind direction MAE from 23° to 50° and wind speed MAE from 1.49 to 2.35 m/s. SWOT backscatter sensitivity to wind speed depended on incidence angle, and demonstrated utility for developing a GMF for lakes. These methods could be used to better understand wind dynamics globally, especially over small lakes and in data poor regions.https://doi.org/10.1029/2024EA003971SARlakeswind speedwind directionlocal gradientCMOD5.N |
| spellingShingle | Katie A. McQuillan George H. Allen Jessica Fayne Huilin Gao Jida Wang Estimating Wind Direction and Wind Speed Over Lakes With Surface Water Ocean Topography and Sentinel‐1 Satellite Observations Earth and Space Science SAR lakes wind speed wind direction local gradient CMOD5.N |
| title | Estimating Wind Direction and Wind Speed Over Lakes With Surface Water Ocean Topography and Sentinel‐1 Satellite Observations |
| title_full | Estimating Wind Direction and Wind Speed Over Lakes With Surface Water Ocean Topography and Sentinel‐1 Satellite Observations |
| title_fullStr | Estimating Wind Direction and Wind Speed Over Lakes With Surface Water Ocean Topography and Sentinel‐1 Satellite Observations |
| title_full_unstemmed | Estimating Wind Direction and Wind Speed Over Lakes With Surface Water Ocean Topography and Sentinel‐1 Satellite Observations |
| title_short | Estimating Wind Direction and Wind Speed Over Lakes With Surface Water Ocean Topography and Sentinel‐1 Satellite Observations |
| title_sort | estimating wind direction and wind speed over lakes with surface water ocean topography and sentinel 1 satellite observations |
| topic | SAR lakes wind speed wind direction local gradient CMOD5.N |
| url | https://doi.org/10.1029/2024EA003971 |
| work_keys_str_mv | AT katieamcquillan estimatingwinddirectionandwindspeedoverlakeswithsurfacewateroceantopographyandsentinel1satelliteobservations AT georgehallen estimatingwinddirectionandwindspeedoverlakeswithsurfacewateroceantopographyandsentinel1satelliteobservations AT jessicafayne estimatingwinddirectionandwindspeedoverlakeswithsurfacewateroceantopographyandsentinel1satelliteobservations AT huilingao estimatingwinddirectionandwindspeedoverlakeswithsurfacewateroceantopographyandsentinel1satelliteobservations AT jidawang estimatingwinddirectionandwindspeedoverlakeswithsurfacewateroceantopographyandsentinel1satelliteobservations |