论文信息 - A neural network approach for wind retrieval from the ERS-1 scatterometer data. 1. Determination of the geophysical model function of ERS-1 scatterometer

A neural network approach for wind retrieval from the ERS-1 scatterometer data. 1. Determination of the geophysical model function of ERS-1 scatterometer

Computes a new geophysical model function (GMF) for the ERS-1 scatterometer by the use of neural networks (NN). This NN-GMF is calibrated with ERS-1 scatterometer sigma0 collocated with ECMWF analysed wind vectors. In order to check the validity of the NN-GMF systematic comparisons with the ESA CMOD4-GMF (version 2) and the IFREMER CMOD2-I3-GMF are made. The GMF is used in many algorithms to retrieve the scatterometer wind.<<ETX>>

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