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Wave Spectrum Inversion Research Based on SWOT Satellite Data
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Xiaoyu JIANG1, 2, Junmin MENG1, Cai LUO2
Journal of Telemetry, Tracking and Command | 2024, 45(6) : 48 - 54
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Journal of Telemetry, Tracking and Command | 2024, 45(6): 48-54
• Remote Sensing Technology of Meteorological Satellite •
Wave Spectrum Inversion Research Based on SWOT Satellite Data
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Xiaoyu JIANG1, 2, Junmin MENG1, Cai LUO2
Affiliations
  • 1.First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
  • 2.College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China
doi: 10.12347/j.ycyk.20241010001
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The Surface Water and Ocean Topography (SWOT) satellite is a new generation ocean observation satellite. It is used to provide a new method for wave detection by adopting the synthetic aperture radar (SAR) observation system at a small inci-dence angle. Based on previous studies on SAR wave spectrum inversion, the applicability of the wave spectrum inversion algorithm for SWOT satellite data is studied. The effects of wind speed, wind direction, and main wave direction on wave spectrum inversion are discussed. The effective wave height of the inversion is verified using the ERA5 dataset from the European Center for Mediumrange Weather Forecasts (ECMWF). The results show that the root mean square errors (RMSE) of the effective wave height inver-sion are 0.30 m, 0.19 m, and 0.64 m at wind speeds of 7-9 m/s, 9-11 m/s, and >11 m/s, respectively. The scatter indices (SI) are 16.74%, 7.03%, and 19.61%, respectively. It can be proven that the SWOT satellite, as a small incidence angle SAR, has the poten-tial to invert wave spectra and wave parameters.

SWOT Satellite  /  Wave spectrum inversion  /  MPI method
Xiaoyu JIANG, Junmin MENG, Cai LUO. Wave Spectrum Inversion Research Based on SWOT Satellite Data[J]. Journal of Telemetry, Tracking and Command, 2024 , 45 (6) : 48 -54 . DOI: 10.12347/j.ycyk.20241010001
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Article Info
doi: 10.12347/j.ycyk.20241010001
  • Receive Date：2024-10-10
  • Online Date：2026-03-19
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  • Received：2024-10-10
  • Revised：2024-10-29
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    1.First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
    2.College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China
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表12种不同金属材料的力学参数
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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