| An improved wind speed algorithm for “Jason-1” altimeter under tropical cyclone conditions |
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| 作者姓名： | QIN Bangyong ZHOU Xuan ZHANG Honglei YANG Xiaofeng LU Rong YU Yang SHI Lijian |
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| 作者单位： | State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;P. O. Box 5111, Beijing 100094, China;State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;P. O. Box 5111, Beijing 100094, China;State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;P. O. Box 5111, Beijing 100094, China;National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China |
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| 基金项目： | The National Natural Science Foundation of China under Nos 41201350 and 41228007;the International Scientific and Technological Cooperation Projects of State Oceanic Adminstration under contact No. 2011DFA22260;the Knowledge Innovation Program of the Chinese Academy of Sciences under contact No. Y0S04300KB. |
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| 摘 要： | Rain effect and lack of in situ validation data are two main causes of tropical cyclone wind retrieval errors. The National Oceanic and Atmospheric Administration＇s Climate Prediction Center Morphing technique （CMORPH） rain rate is introduced to a match-up dataset and then put into a rain correction model to remove rain effects on ＂Jason-1＂ normalized radar cross section （NRCS）; Hurricane Research Division （HRD） wind sPeed, which integrates all available surface weather observations, is used to substitute in situ data for establishing this relationship with ＂Jason-l＂ NRCS. Then, an improved ＂Jason-l＂ wind retrieval algorithm under tropical cyclone conditions is proposed. Seven tropical cyclones from 2003 to 2010 are studied to validate the new algorithm. The experimental results indicate that the standard deviation of this algorithm at C-band and Ku-band is 1.99 and 2.75 m/s respectively, which is better than the existing algorithms. In addition, the C-band algorithm is more suitable for sea surface wind retrieval than Ku-band under tropical cyclone conditions.
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| 关 键 词： | 热带气旋 速算法 高度计 风场反演 雷达散射截面 自然资源保护 现场验证 Ku波段 |
| 收稿时间： | 3/4/2013 12:00:00 AM |
| 修稿时间： | 9/6/2013 12:00:00 AM |
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