Open AccessSea surface wind speed retrieval and validation with future SWOT data
Author(s) -
Dan Wang,
Xiaojuan Kong,
Pu Cheng,
Zhanju Wang,
Chuandong Xu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1792/1/012013
Subject(s) - wind speed , mean squared error , remote sensing , meteorology , swot analysis , function (biology) , environmental science , specular reflection , wind direction , computer science , geology , mathematics , statistics , geography , physics , optics , marketing , evolutionary biology , business , biology
The paper focuses on the sea surface wind speed retrieval and validation using the future SWOT data. Ka band backscatter coefficient and wind speed were simulated by using theoretical model of Quasi-specular scatter and the simulated position of observation point. The Ka band model function of incident angles from 1° to 4° was proposed based the form of KuLMOD2. Wind speed was retrieved by using Ka band model function, and the results of validation show that the RMSE (Root Mean Squared Error) is 0.35. Therefore, the wind speed retrieval was validated with the ECMWF, which showed good coincidence. Ka band model function was proposed for applicable to the future SWOT data.