LAUSR

The uniform and linear wind models have been commonly used for wind field retrieval in meteorological community. However, the accuracy and robustness of the retrieval results can be quite unsatisfactory due to the mismatch between these models and the real wind distribution, especially under complex wind conditions. In this article, a non-linear model based on high-order Taylor expansion is proposed to deal with this limitation, and the combination of ridge regression and decomposition-iteration process (denoting as Ridge-DI method) is further introduced to solve the model with high accuracy and robustness. Case study on simulation and field experiment show that, the proposed method with 3rd-order Taylor expansion can reduce the mean RMSEs (Root Mean Square Errors) of the retrieved velocities by more than 16.84% in comparison with traditional methods.