| Simultaneous Non-linear Retrieval of Atmospheric Temperature and Absorbing Constituent Profiles from Satellite Infrared Sounder Radiances |
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| 作者姓名： | Li Jun Zhou Fengxian Zeng Qingcun |
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| 作者单位： | Institute of Atmospheric Physics,Academia Sinica,Beijing 100029 |
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| 摘 要： | Based on Zeng’s theory (1974), a successive linearized form of radiative transfer equation (RTE) is derived for simultaneous retrieval of atmospheric temperature and absorbing constituent profiles from satellite infrared observa-tions. It contains the temperature component weighting function and absorbing constituent (H2O, O3, CH4 etc.) com-ponent weighting functions. All these weighting functions reach maximum at their own “optimum information levels”, and make the remote sensing equations well-conditional. Then the atmospheric profiles are derived by Newton’s non-linear iteration method. Experiments of retrieval from both TIROS-N operational High Resolution Infrared Sounder (HIRS) and the simulated Atmospheric infRared Sounder (AIRS) show an significant improvement.
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| 收稿时间： | 8 September 1993 |
Simultaneous non-linear retrieval of atmospheric temperature and absorbing constituent profiles from satellite infrared sounder radiances |
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| Li Jun,Zhou Fengxian,Zeng Qingcun.Simultaneous non-linear retrieval of atmospheric temperature and absorbing constituent profiles from satellite infrared sounder radiances[J].Advances in Atmospheric Sciences,1994,11(2):128-138. |
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| Authors: | Li Jun Zhou Fengxian Zeng Qingcun |
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| Institution: | Institute of Atmospheric Physics, Academia Sinica, Beijing 100029,Institute of Atmospheric Physics, Academia Sinica, Beijing 100029,Institute of Atmospheric Physics, Academia Sinica, Beijing 100029 |
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| Abstract: | Based on Zeng's theory (1974), a successive linearized form of radiative transfer equation (RTE) is derived for simultaneous retrieval of atmospheric temperature and absorbing constituent profiles from satellite infrared observations. It contains the temperature component weighting function and absorbing constituent (HZO, O3, CH4 etc.) component weighting functions. All these weighting functions reach maximum at their own "optimum information levels", and make the remote sensing equations well-conditional. Then the atmospheric profiles are derived by Newton'snon-linear iteration method. Experiments of retrieval from both TIROS-N operational High Resolution infrared Sounder (HIRS) and the simulated Atmospheric infRared Sounder (AIRS) show an significant improvement. |
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| Keywords: | Sounding Weighting Function Retrieval |
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