Regularization method to retrieve synthetic aperture radar sea surface wind

被引:12
作者
Jiang Zhu-Hui [1 ]
Huang Si-Xun [1 ]
He Ran [1 ]
Zhou Chen-Teng [1 ]
机构
[1] Univ Sci & Technol Chinese Peoples Liberat Army, Inst Meteorol, Nanjing 211101, Peoples R China
基金
中国国家自然科学基金;
关键词
synthetic aperture radar; regularization; L-curve; variational assimilation; INVERSION;
D O I
10.7498/aps.60.068401
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Due to the fact that the error exists in the priori wind direction for the problem of synthetic aperture radar data sea surface wind field retrieval, the regularization method is used to retrieve the wind field, while the L-curve method is adopted to select the optimal regularization parameter. Simulation experiments show that the retrieval accuracy of the regularization method is better than that of the variational method. Further researches in different true wind direction situations indicate that when the real wind direction is in the vicinity of 45 degrees or 135 degrees, the wind speed retrieval accuracy is higher, when the real wind direction is in the vicinity of 0 or 90, the wind direction retrieval accuracy is higher, this phenomenon may be related to the derivative of backscatter cross section with respect to the wind direction in geophysical model function.
引用
收藏
页数:8
相关论文
共 21 条
[11]  
KALNAY E, 2005, ATMOSPHERIC MODELING, P141
[12]   Wavelet Analysis for Wind Fields Estimation [J].
Leite, Gladeston C. ;
Ushizima, Daniela M. ;
Medeiros, Fatima N. S. ;
de Lima, Gilson G. .
SENSORS, 2010, 10 (06) :5994-6016
[13]   A systematic comparison of QuikSCAT and SAR ocean surface wind speeds [J].
Monaldo, FM ;
Thompson, DR ;
Pichel, WG ;
Clemente-Colón, P .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2004, 42 (02) :283-291
[14]   Toward an optimal inversion method for synthetic aperture radar wind retrieval [J].
Portabella, M ;
Stoffelen, A ;
Johannessen, JA .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2002, 107 (C8)
[15]  
Portabella M., 2002, Ph.D. dissertation,
[16]   Observation of tropical cyclones by high-resolution scatterometry [J].
Quilfen, Y ;
Chapron, B ;
Elfouhaily, T ;
Katsaros, K ;
Tournadre, J .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1998, 103 (C4) :7767-7786
[17]   Ocean duct inversion from radar clutter using variation adjoint and regularization method (II) : inversion experiment [J].
Sheng Zheng ;
Huang Si-Xun .
ACTA PHYSICA SINICA, 2010, 59 (06) :3912-3916
[18]   Ocean duct inversion from radar clutter using variation adjoint and regularization method I. Theoretical part [J].
Sheng Zheng ;
Huang Si-Xun .
ACTA PHYSICA SINICA, 2010, 59 (03) :1734-1739
[19]   Scatterometer data interpretation: Estimation and validation of the transfer function CMOD4 [J].
Stoffelen, A ;
Anderson, D .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1997, 102 (C3) :5767-5780
[20]  
Wolfgang K, 2004, IEEE T GEOSCI REMOTE, V42, P702