论文信息 - A damped Newton variational inversion for synthetic aperture radar wind retrieval

A damped Newton variational inversion for synthetic aperture radar wind retrieval

The variational inversion for synthetic aperture radar (SAR) wind retrieval can take errors of all sources involved into account, but the complexity of ascertaining errors of wind vectors is high and the iteration process is very time-consuming. In this paper, we modify the decomposition of wind vectors into speed and direction, and adopt a damped Newton method (DNVAR) to solve the cost function, which is based on inexact line search condition. Experimental results show that DNVAR can effectively reduce background wind vector errors, and the average number of iterations for DNVAR descends greatly. For practical applications, when the background wind speed is higher than 10 m/s, the accuracy of DNVAR is higher than direct SAR wind retrieval (DIRECT), otherwise, DIRECT performs better.

Wenxian Yu | Weidong Xiang | Yuanxiang Li | Zhuhui Jiang | Fangjie Yu

[1] Huang Si-Xun,et al. Regularization method to retrieve synthetic aperture radar sea surface wind , 2011 .

[2] Marcos Portabella,et al. Toward an optimal inversion method for synthetic aperture radar wind retrieval , 2002 .

[3] H. Hersbach,et al. An improved C-band scatterometer ocean geophysical model function: CMOD5 , 2007 .

[4] Andrew C. Lorenc,et al. Analysis methods for numerical weather prediction , 1986 .

[5] Stephen J. Wright,et al. Numerical Optimization , 2018, Fundamental Statistical Inference.

[6] Stéphane Laroche,et al. Properties of variational data assimilation for synthetic aperture radar wind retrieval , 2008 .

[7] Maria Adamo,et al. Assessing the Bayesian inversion technique of C-band synthetic aperture radar data for the retrieval of wind fields in marine coastal areas , 2014 .

[8] Bertrand Chapron,et al. On the Use of Doppler Shift for Sea Surface Wind Retrieval From SAR , 2012, IEEE Transactions on Geoscience and Remote Sensing.