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The Capability of Atmospheric Profile Retrieval from Satellite High Resolution Infrared Sounder Radiances


doi: 10.1007/BF02656838

  • A non-linear Newtonian iteration retrieval method has been successfully applied to TIROS-N Operational Ver-tical Sounder (TOVS) data process and simulated Atmospheric Infrared Sounder (AIRS) data inversion Usually, the Newtonian iteration procedure starts with a first guess or initial state of atmospheric temperature and water vapor profiles, in this paper, a climate mean profile and a regression retrieval from radiances were used as the first guess in AIRS data inversion, the Root Mean Square Error (RMSE) of both temperature and water vapor mixing ratio retrievals shows that high vertical resolution and accurate atmospheric temperature and water vapor profiles are achieved using either a poor (a climate mean profile) or good (a regression retrieval) first guess. This illustrates the capability of high resolution IR sounder radiances in atmospheric temperature and moisture profiles retrieval, which is important when there is no prior information or sample data set of atmospheric temperature and moisture available.
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    [2] Li Jun, Lu Daren, 1997: Nonlinear Retrieval of Atmospheric Ozone Profile from Solar Backscatter Ultraviolet Measurements: Theory and Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 473-480.  doi: 10.1007/s00376-997-0065-2
    [3] Wu Beiying, John Gille, 1999: Retrieval of Tropospheric CO Profiles Using Correlation Radiometer. II: Effects of Other Gases and the Retrieval in Cloudy Atmosphere, ADVANCES IN ATMOSPHERIC SCIENCES, 16, 507-522.  doi: 10.1007/s00376-999-0027-y
    [4] Li Jun, Huang Hung-Lung, 1994: Optimal Use of High Resolution Infrared Sounder Channels in Atmospheric Profile Retrieval, ADVANCES IN ATMOSPHERIC SCIENCES, 11, 271-276.  doi: 10.1007/BF02658145
    [5] Li Jun, Zhou Fengxian, Zeng Qingcun, 1994: Simultaneous Non-linear Retrieval of Atmospheric Temperature and Absorbing Constituent Profiles from Satellite Infrared Sounder Radiances, ADVANCES IN ATMOSPHERIC SCIENCES, 11, 128-138.  doi: 10.1007/BF02666541
    [6] Qin XU, Binbin ZHOU, 2003: Retrieving Soil Water Contents from Soil Temperature Measurements by Using Linear Regression, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 849-858.  doi: 10.1007/BF02915509
    [7] YAO Zhigang, CHEN Hongbin, LIN Longfu, 2005: Retrieving Atmospheric Temperature Profiles from AMSU-A Data with Neural Networks, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 606-616.  doi: 10.1007/BF02918492
    [8] Li Jun, 1994: Temperature and Water Vapor Weighting Functions from Radiative Transfer Equation with Surface Emissivity and Solar Reflectivity, ADVANCES IN ATMOSPHERIC SCIENCES, 11, 421-426.  doi: 10.1007/BF02658162
    [9] HONG Gang, Georg HEYGSTER, Klaus KUNZI, LI Wanbiao, ZHU Yuanjing, ZHAO Bolin, 2003: Retrieval of Microwave Surface Emissivities at TMI Frequencies in Shouxian, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 253-259.  doi: 10.1007/s00376-003-0011-x
    [10] ZHANG Jie, Zhenglong LI, Jun LI, Jinglong LI, 2014: Ensemble Retrieval of Atmospheric Temperature Profiles from AIRS, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 559-569.  doi: 10.1007/s00376-013-3094-z
    [11] HUANG Sixun, CAO Xiaoqun, DU Huadong, WANG Tingfang, XIANG Jie, 2006: Retrieval of Atmospheric and Oceanic Parameters and the Relevant Numerical Calculation, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 106-117.  doi: 10.1007/s00376-006-0011-8
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    [13] Wu Beiying, John Gille, 1999: Retrieval of Tropospheric CO Profiles Using Correlation Radiometer: I. Retrieval Experiments for a Clear Atmosphere, ADVANCES IN ATMOSPHERIC SCIENCES, 16, 343-354.  doi: 10.1007/s00376-999-0013-4
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    [15] ZHAO Kun, LIU Guoqing, GE Wenzhong, DANG Renqing, Takao TAKEDA, 2003: Retrieval of Single-Doppler Radar Wind Field by Nonlinear Approximation, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 195-204.  doi: 10.1007/s00376-003-0004-9
    [16] GUO Jianping, XUE Yong, CAO Chunxiang, ZHANG Hao, GUANG Jie, ZHANG Xiaoye, LI Xiaowen, 2009: A Synergic Algorithm for Retrieval of Aerosol Optical Depth over Land, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 973-983.  doi: 10.1007/s00376-009-7218-4
    [17] HUO Juan, LU Daren, 2010: Preliminary Retrieval of Aerosol Optical Depth from All-sky Images, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 421-426.  doi: 10.1007/s00376-009-8216-2
    [18] YAO Zhigang, Jun LI, ZHAO Zengliang, 2015: Synergistic Use of AIRS and MODIS for Dust Top Height Retrieval over Land, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 470-476.  doi: 10.1007/s00376-014-4046-y
    [19] Myung-Sook PARK, Chang-Hoi HO, Heeje CHO, Yong-Sang CHOI, 2015: Retrieval of Outgoing Longwave Radiation from COMS Narrowband Infrared Imagery, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 375-388.  doi: 10.1007/s00376-014-4013-7
    [20] WU Xuebao, LI Jun, ZHANG Wenjian, WANG Fang, 2005: Atmospheric Profile Retrieval with AIRS Data and Validation at the ARM CART Site, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 647-654.  doi: 10.1007/BF02918708

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Manuscript History

Manuscript received: 10 April 1995
Manuscript revised: 10 April 1995
通讯作者: 陈斌, bchen63@163.com
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The Capability of Atmospheric Profile Retrieval from Satellite High Resolution Infrared Sounder Radiances

  • 1. Cooperative Institute for Meteorological Satellite Studies, Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI 53706, U.S.A.

Abstract: A non-linear Newtonian iteration retrieval method has been successfully applied to TIROS-N Operational Ver-tical Sounder (TOVS) data process and simulated Atmospheric Infrared Sounder (AIRS) data inversion Usually, the Newtonian iteration procedure starts with a first guess or initial state of atmospheric temperature and water vapor profiles, in this paper, a climate mean profile and a regression retrieval from radiances were used as the first guess in AIRS data inversion, the Root Mean Square Error (RMSE) of both temperature and water vapor mixing ratio retrievals shows that high vertical resolution and accurate atmospheric temperature and water vapor profiles are achieved using either a poor (a climate mean profile) or good (a regression retrieval) first guess. This illustrates the capability of high resolution IR sounder radiances in atmospheric temperature and moisture profiles retrieval, which is important when there is no prior information or sample data set of atmospheric temperature and moisture available.

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