A support vector machine‐based <scp>VVP</scp> wind retrieval method

Nan Li, Ming Wei, Xiyu Mu, Chang Zhao

Atmospheric Science Letters · 2015 · 11 citations · 26 references

Concepts

Abstract

Abstract Velocity volume processing ( VVP ) is a common wind retrieval method for single‐Doppler radar. However, hindered by the problem of the ill‐conditioned coefficient matrix, VVP method has not been applied effectively. In this paper, a support vector machine‐based VVP ( SVM VVP ) method is proposed to improve the VVP method. SVM VVP retrieves wind field through constructing a support vector regression machine for the radial velocity. The new method is applied to a real case, and the retrieval shows that SVM VVP can give accurate and high‐resolution results. It is helpful for studying wind fields of small‐scale precipitation systems.

References

26