Satellite retrieval of hurricane wind speeds using the AMSR2 microwave radiometer
文献类型：期刊论文
| 作者 | Yao Panpan1; Wan Jianhua1; Wang Jin1; Zhang Jie1 |
| 刊名 | CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY
 |
| 出版日期 | 2015 |
| 卷号 | 33期号:5页码:10626-10645 |
| 关键词 | microwave radiometer AMSR2 sea surface wind speeds hurricane |
| 通讯作者 | Yao, PP (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 266061, Peoples R China. |
| 英文摘要 | The AMSR2 microwave radiometer is the main payload of the GCOM-W1 satellite, launched by the Japan Aerospace Exploration Agency in 2012. Based on the pre-launch information extraction algorithm, the AMSR2 enables remote monitoring of geophysical parameters such as sea surface temperature, wind speed, water vapor, and liquid cloud water content. However, rain alters the properties of atmospheric scattering and absorption, which contaminates the brightness temperatures measured by the microwave radiometer. Therefore, it is difficult to retrieve AMSR2-derived sea surface wind speeds under rainfall conditions. Based on microwave radiative transfer theory, and using AMSR2 L1 brightness temperature data obtained in August 2012 and NCEP reanalysis data, we studied the sensitivity of AMSR2 brightness temperatures to rain and wind speed, from which a channel combination of brightness temperature was established that is insensitive to rainfall, but sensitive to wind speed. Using brightness temperatures obtained with the proposed channel combination as input parameters, in conjunction with HRD wind field data, and adopting multiple linear regression and BP neural network methods, we established an algorithm for hurricane wind speed retrieval under rainfall conditions. The results showed that the standard deviation and relative error of retrievals, obtained using the multiple linear regression algorithm, were 3.1 m/s and 13%, respectively. However, the standard deviation and relative error of retrievals obtained using the BP neural network algorithm were better (2.1 m/s and 8%, respectively). Thus, the results of this paper preliminarily verified the feasibility of using microwave radiometers to extract sea surface wind speeds under rainfall conditions. |
| 研究领域[WOS] | Limnology ; Oceanography |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000360846900002 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38121]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Yao Panpan] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 266061, Peoples R China 2.[Wang Jin] Qingdao Univ, Coll Phys, Qingdao 266071, Peoples R China 3.[Yao Panpan 4.Zhang Jie] State Ocean Adm, Inst Oceanog 1, Qingdao 266061, Peoples R China 5.[Yao Panpan 6.Wan Jianhua] China Univ Petr, Sch Geosci, Qingdao 266580, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yao Panpan,Wan Jianhua,Wang Jin,et al. Satellite retrieval of hurricane wind speeds using the AMSR2 microwave radiometer[J]. CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2015,33(5):10626-10645. |
| APA | Yao Panpan,Wan Jianhua,Wang Jin,&Zhang Jie.(2015).Satellite retrieval of hurricane wind speeds using the AMSR2 microwave radiometer.CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,33(5),10626-10645. |
| MLA | Yao Panpan,et al."Satellite retrieval of hurricane wind speeds using the AMSR2 microwave radiometer".CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY 33.5(2015):10626-10645. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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