The Study on Oceanic Vector Wind Field Retrieve Technique based on Neural Networks of Microwave Scatterometer

The neural networks are used to retrieve wind fields for microwave scatterometer data，especially for data gained by the scatterometer onboard HY\|2A satellite (HSCAT)under high wind speed conditions.The retrieval of wind speed is based on Back Propagation (BP)neural network，while multiple solutions of wind direction inversion is realized by Mixture Density Network (MDN)neural network.During the process，Gaussian kernel function is employed.The wind field used in network training is from corresponding European Centre for Medium\|range Weather Foresting (ECMWF).It is proved that wind fields retrieved in this paper could get results meeting the accuracy requirement for HSCAT by comparison with ECMWF wind fields.Results are also compared with the L2B wind field products distributed by the National Satellite Oceanic Application Service，it is shown that the method in this paper gave results with closer values than L2B products.