首页 >  2012, Vol. 16, Issue (6) : 1262-1271

摘要

全文摘要次数: 3838 全文下载次数: 37
引用本文:

DOI:

10.11834/jrs.20121323

收稿日期:

2011-11-21

修改日期:

2012-04-26

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FY-3B 微波成像仪海表面温度和风速统计反演算法
1.国家海洋局第一海洋研究所,山东青岛 266061;2.青岛大学,山东青岛266071;3.中国海洋大学,山东青岛 266100
摘要:

基于同步的TAO (Tropical Atmosphere Ocean project) 浮标实测数据和FY-3B 微波成像仪(MWRI) 亮温数据,建立了FY-3B MWRI 海表面温度SST(Sea Surface Temperature) 和海面风速SSW(Sea Surface Wind) 统计反演算法,并利用实测数据进行了检验.根据检验结果,FY-3B MWRI 全通道亮温的SST 反演模型均方根误差为0.81 ℃,相关系数为0.77; SSW 反演模型均方根误差为0.91 m/s ,相关系数为0.78 .

Statistical retrieval algorithms of the sea surface temperature (SST) and wind speed (SSW) for FY-3B Microwave Radiometer Imager (MWRI)
Abstract:

Empirical sea surface temperature (SST) and sea surface wind speed (SSW) retrieval algorithms are developed, and validated based on the synchronous in situ data of Tropical Atmosphere Ocean project (TAO) buoy and the bright temperatures of FY-3B Microwave Radiometer Imager (MWRI). The root mean square error (RMS) of the SST retrieval algorithm based on the ten channels’ bright temperature (TB) is 0.81℃, and the coeff icient of correlation is 0.77. The results for SSW retrieval algorithm are 0.97 m/s and 0.78 respectively.

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