A Neural Network Method for Retrieving Sea Surface Wind Speed for C-Band SAR

Based on the Ocean Projection and Extension neural Network (OPEN) method, a novel approach is proposed to retrieve sea surface wind speed for C-band synthetic aperture radar (SAR). In order prove methodology with robust dataset, five-year normalized cross section (NRCS) measurements from advanced scatterometer (ASCAT), well-known side-looking sensor, are used train model. situ data direct buoy observations, instead of reanalysis or model results, as ground truth in OPEN The applied winds two independent sets, ASCAT Sentinel-1 SAR data, has been well-validated using National Oceanic Atmospheric Administration (NOAA) China Meteorological (CMA), coastal product. comparison between four (CMOD) versions (CMOD4, CMOD-IFR2, CMOD5.N, CMOD7) further indicates good performance sensors. It anticipated that use high-resolution together new retrieval method can provide continuous accurate ocean products future.