Ocean Surface Wind Speed Dependence and Retrieval From Off‐Nadir CFOSAT SWIM Data

Abstract In this study, we analyzed the ocean surface wind speed dependence of off‐nadir data from Surface Waves Investigation and Monitoring (SWIM) aboard Chinese‐French Oceanography Satellite (CFOSAT). When were analyzed, SWIM normalized radar cross section (NRCS) at most incidence angles decreased along NCEP Global Forecast System speed. This trend is consistent with that in a Ku‐band geophysical model function low (KuLMOD2S), although there was systematic bias between two. The consistency indicates quality normal terms dependence. recalibrated using numerical weather prediction‐based calibration method speeds retrieved NRCS KuLMOD2S model. Finally, retrievals as well products nadir validated collocated CFOSAT scatterometer (CSCAT) measurements. results validated, 0.5° averaged both had root mean square difference (RMSD) around 1.4 m/s compared to CSCAT winds. Moreover, winds good agreement winds,and RMSD values within 2.0 for less than 7.5°, retrieval accuracy poor larger angles. These demonstrate below 7.5° have an ability retrieve