Evaluation of ENVISAT ASAR data for sea surface wind retrieval in Hong Kong coastal waters of China

被引：0

作者：

Xu Qing ^{[1
]}

Lin Hui ^{[1
]}

Zheng Quanan ^{[2
]}

Xiu Peng ^{[3
]}

Cheng Yongcun ^{[4
]}

Liu Yuguang ^{[5
]}

机构：

[1] Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Hong Kong, Hong Kong, Peoples R China

[2] Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA

[3] Univ Maine, Sch Marine Sci, Orono, ME USA

[4] PLA Univ Sci & Technol, Inst Meteorol, Nanjing 211101, Peoples R China

[5] Ocean Univ China, Phys Oceanog Lab, Qingdao 266100, Peoples R China

来源：

ACTA OCEANOLOGICA SINICA | 2008年 / 27卷 / 04期

基金：

中国博士后科学基金;

关键词：

sea surface wind speed; wind retrieval algorithms; ENVISAT ASAR; Hong Kong;

D O I：

暂无

中图分类号：

P7 [海洋学];

学科分类号：

0707 ;

摘要：

The C-band wind speed retrieval models, CMOD4, CMOD - IFR2, and CMOD5 were applied to retrieval of sea surface wind speeds from ENVISAT (European environmental satellite) ASAR (advanced synthetic aperture radar) data in the coastal water's near Hong Kong during a period from October 2005 to July 2007. The retrieved wind speeds are evaluated by comparing with buoy measurements and the QuikSCAT (quick scatterometer) wind products. The results show that the CMOD4 model gives the best performance at wind speeds lower than 15 m/s. The correlation coefficients with buoy and QuikSCAT winds are 0.781 and 0.896, respectively. The root mean square errors are the same 1.74 m/s. Namely, the CMOD4 model is the best one for sea surface wind speed retrieval from ASAR data in the coastal waters near Hong Kong.

引用

页码：57 / 62

页数：6

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