Influence of the type of sea waves on the backscattered radar cross section at medium incidence angles
- Autores: Karaev V.1, Panfilova M.1, Jie G.2
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Afiliações:
- Institute of Applied Physics Russian Academy of Sciences
- Yantai Institute of Coastal Zone Research
- Edição: Volume 52, Nº 9 (2016)
- Páginas: 904-910
- Seção: Stydying Seas and Oceans from Space
- URL: https://journals.rcsi.science/0001-4338/article/view/148496
- DOI: https://doi.org/10.1134/S0001433816090139
- ID: 148496
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Resumo
We consider the influence of the sea surface state on the backscattered radar cross section and the accuracy of the wind speed retrieval from the scatterometer data. We used a joint set of radars and buoys to determine the type of sea waves. Three types of sea waves were distinguished: developing wind waves, fully developed wind waves, and mixed sea. It is shown that the retrieval error of the near surface wind speed using a one-parameter algorithm is minimal in the case of fully developed wind waves. We compared these data with the results of radio-altimeter data analysis and showed that in both cases underestimation of the retrieval wind speed exists for developing wind waves and overestimation occurs for mixed sea. A variety of swell parameters (length of the dominating wave, swell height, swell age) significantly influence the backscattered radar cross section, leading to a growth in the mean square error of the retrieved wind speed during vertical sounding (radio-altimeter data), and only slightly influence the mean square error of the scatterometer data (medium incidence angles). It is necessary to include the information about the parameters of sea waves in the algorithms and take into account the regional wave properties to increase the accuracy of wind speed retrieval.
Sobre autores
V. Karaev
Institute of Applied Physics Russian Academy of Sciences
Autor responsável pela correspondência
Email: volody@hydro.appl.sci-nnov.ru
Rússia, Nizhny Novgorod
M. Panfilova
Institute of Applied Physics Russian Academy of Sciences
Email: volody@hydro.appl.sci-nnov.ru
Rússia, Nizhny Novgorod
Guo Jie
Yantai Institute of Coastal Zone Research
Email: volody@hydro.appl.sci-nnov.ru
República Popular da China, Yantai