杜延磊等:A rapid atmospheric correction model for L-band microwave radiometer under the cloudless condition
被阅读 915 次
2015-10-21
A rapid atmospheric correction model for L-band microwave radiometer under the cloudless condition
作者:Du, YL (Du Yan-Lei)[ 1,2 ] ; Ma, WT (Ma Wen-Tao)[ 1 ] ; Yang, XF (Yang Xiao-Feng)[ 1 ] ; Liu, GH (Liu Gui-Hong)[ 1 ] ; Yu, Y (Yu Yang)[ 1 ] ; Li, ZW (Li Zi-Wei)[ 1 ]
ACTA PHYSICA SINICA
卷: 64  期: 7
文献号: 079501
DOI: 10.7498/aps.64.079501
出版年: APR 5 2015
 
摘要
Atmospheric correction is very important to the accurate retrieval of geophysical parameters from spaceborne L-band radiometers. In this paper, the L-band upwelling and downwelling radiation brightness temperature and transmittance above sea surface are calculated using the atmospheric radiation transfer model based on NCEP temperature and humidity profile data. A regression model, i.e., radiation-vapor model, is established to describe the relationship between the three atmospheric radiation parameters and the atmospheric water vapor content as well as the sea surface pressure. Using this model, the atmospheric radiation parameters can be calculated and used to correct the atmospheric effects in L-band microwave radiometer observation. In order to test the proposed model, the atmospheric radiation parameters are calculated by this model and compared with the SSM/I water vapor content data and the NCEP surface pressure data. Finally, the model outputs are compared with the Aquarius satellite data. Results indicate that the radiation brightness temperature calculated by the proposed model is lower than the Aquarius data about 0.335 K and the root-mean-square error between them is about 0.086 K after correcting the systematic errors. The atmospheric transmittance calculated by the proposed model agrees well with the Aquarius data. Besides, the proposed model uses fewer input data and is faster and more stable than other existing models.
 
通讯作者地址: Ma, WT (通讯作者)
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
地址:
[ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[ 2 ] Univ Chinese Acad Sci, Beijing 100049, Peoples R China