摘要
利用2005年1月的AMSR-E卫星资料作为一个例子,探讨了AMSR-E的12个通道的亮温与海表温度、海面气温、湿度及风速4个气象参数的关系,把亮温通道分3大类组合分别进行参数模拟,确定模拟这4个气象参数最合理的通道组合,并利用多参数回归方法建立海表温度、海面气温、湿度及风速与亮温之间的经验关系。反演结果与TAO浮标实测资料进行了比较,实时海表温度、海面气温、湿度及风速的均方根差分别为0.53℃、0.74℃、3.2%和1.1m/s。是一个利用卫星资料同时反演四个参数（海表温度、海面气温、湿度及风速）的成功例子,为计算海气热通量提供了数据,并为实时观测和研究气候变化提供了一种简单而有效的方法。
The AMSR-E satellite data in Jan 2005 was applied as a case to estimate four meteorological parameters： sea surface temperature （SST）, air temperature over sea （Ta）, humidity （RH） and wind speed （WS）. First, bright temperature （TB） from the twelve channels of AMSR-E were used to calculate their relativities among these four parameters. Then three kinds of different combinations with channel were proposed to do the simulation. Finally, a kind of combination with frequency was chosen as the best way to do the retrieval after the errors and relativities of the results are considered. The statistical relations were found on the AMSR-E TB data and sea surface meteorological parameters with multi-parame- ters regression method. The retrieved results in the Pacific Ocean near the equator were compared with the data observed by TAO buoys. Their root mean square errors are 0.53℃ （SST）, 0.74℃ （Ta）, 3.20% （RH） and 1.1m/s （WS）, respectively. This is a successful case that AMSR-E TB data could be applied to retrieval of the four real-time parameters with good accuracy. Long term data should be used to complement this study.
出处
《高技术通讯》
CAS
CSCD
北大核心
2007年第6期633-637,共5页
Chinese High Technology Letters
基金
863计划（2001AA633060）资助项目.感谢美国国家冰雪数据中心（National Snow and Ice Data Center,NSIDC）提供的AMSR-E卫星资料和T0GA-TA0提供的TA0浮标资料.感谢863项目2001AA633060给予本研究的资助.
关键词
AMSR-E
海表温度
海面气温
湿度
风速
AMSR-E, sea sudace temperature （SST）, air temperature, humidity, wind speed
