引用本文:	王丽静,何宜军,张彪.利用遗传算法反演实时近海面气温和比湿[J].海洋科学,2009,33(4):20-24.

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利用遗传算法反演实时近海面气温和比湿
王丽静^1,2, 何宜军¹, 张彪^1,2
1.中国科学院海洋研究所;2.中国科学院研究生院

摘要:

使用Advanced Microwave Scanning Radiometer for EOS(AMSR-E)的海洋产品数据海表温度、风速、大气水蒸气、云液态水，通过遗传算法建立其与近海面气温和比湿之间的经验关系，进行近海面气温和比湿的实时反演。反演结果与The Tropical Ocean-Atmosphere(TAO)和The National Data Buoy Center(NDBC)的浮标实测资料进行比较，实时近海面气温和比湿的均方根误差分别为1.18℃和1.36 g/kg。分析结果表明，利用遗传算法采用AMSR-E海洋产品数据可以较好地反演近海面气温和比湿。

关键词: 遗传算法近海面气温比湿 AMSR-E

DOI：

分类号:

基金项目:中国科学院科技创新项目（KZCX2-YW-201）

Retrieval of near surface air temperature and specific humidity based on AMSR-E satellite data

Abstract:

Microwave sensor AMSR-E (Advanced Microwave Scanning Radiometer for EOS) data on the board of the EOS-pm (Aqua) satellite of NASA was used for retrieval of air temperature (Ta) at near-sea surface and specific humidity (Qa) by using genetic algorithm (GA). Genetic algorithm is used to find the empirical function relating to the input AMSR-E oceanographic products (sea surface temperature, wind speed, atmospheric total water vapor, and liquid cloud water) and output (Ta and Qa) parameters. The retrieved results were compared with the data observed by TAO (the Tropical Atmosphere Ocean Project) and NDBC (the National Data Buoy Center) buoys. The root mean square (rms) differences are 1.18℃and 1.36 g/kg for air temperature at sea surface and specific humidity respectively.

Key words: AMSR-E sea surface air temperature specific humidity genetic algorithm