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A COMPARISON OF THE RETRIEVAL OF ATMOSPHERIC TEMPERATURE PROFILES USING OBSERVATIONS OF THE 60 GHZ AND 118.75 GHZ ABSORPTION LINES
  Revised:February 09, 2018
KeyWords:Fengyun-3C satellite  Microwave Temperature Sounder-II  microwave humidity and temperature sounder  one-dimensional variational retrieval algorithm  neural networks retrieval algorithm
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Author NameAffiliationE-mail
HE Qiu-rui 1. Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 100190 China
2. University of Chinese Academy of Sciences, Beijing 100049 China 
 
WANG Zhen-zhan  wangzhenzhan@mirslab.cn 
HE Jie-ying   
ZHANG Lan-jie   
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Abstract:
      The Microwave Temperature Sounder-II (MWTS-II) and Microwave Humidity and Temperature Sounder (MWHTS) onboard the Fengyun-3C (FY-3C) satellite can be used to detect atmospheric temperature profiles. The MWTS-II has 13 temperature sounding channels around the 60 GHz oxygen absorption band and the MWHTS has 8 temperature sounding channels around the 118.75 GHz oxygen absorption line. The data quality of the observed brightness temperatures can be evaluated using atmospheric temperature retrievals from the MWTS-II and MWHTS observations. Here, the bias characteristics and corrections of the observed brightness temperatures are described. The information contents of observations are calculated, and the retrieved atmospheric temperature profiles are compared using a neural network (NN) retrieval algorithm and a one-dimensional variational inversion (1D-var) retrieval algorithm. The retrieval results from the NN algorithm show that the accuracy of the MWTS-II retrieval is higher than that of the MWHTS retrieval, which is consistent with the results of the radiometric information analysis. The retrieval results from the 1D-var algorithm show that the accuracy of MWTS-II retrieval is similar to that of the MWHTS retrieval at the levels from 850–1,000 hPa, is lower than that of the MWHTS retrieval at the levels from 650–850 hPa and 125–300 hPa, and is higher than that of MWHTS at the other levels. Comparison of the retrieved atmospheric temperature using these satellite observations provides a reference value for assessing the accuracy of atmospheric temperature detection at the 60 GHz oxygen band and 118.75 GHz oxygen line. In addition, based on the comparison of the retrieval results, an optimized combination method is proposed using a branch and bound algorithm for the NN retrieval algorithm, which combines the observations from both the MWTS-II and MWHTS instruments to retrieve the atmospheric temperature profiles. The results show that the optimal combination can further improve the accuracy of MWTS-II retrieval and enhance the detection accuracy of atmospheric temperatures near the surface.
DOI:10.16555/j.1006-8775.2018.02.004
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