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Optimal Use of High Resolution Infrared Sounder Channels in Atmospheric Profile Retrieval


doi: 10.1007/BF02658145

  • Due to correlations among high resolution infrared sounder radiances and retrieval computation efficiency, it is prudent to use a set of statistically less correlated channels which not only retains the majority of measurement infor-mation but also yields the most accurate atmospheric profile retrievals. The statistical procedure of these channels se-lection is described in the paper. The use of optimal selected channels simulated for the measurements of AIRS (Atmospheric InfRared Sounder) in the statistical / physical retrieval is discussed. Simulated AIRS inversion results demonstrate the advantages of using optimal channel set that produce the accurate and stable retrieval solution.
  • [1] 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
    [2] 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
    [3] 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
    [4] Pucai WANG, N. F. ELANSKY, Yu. M. TIMOFEEV, Gengchen WANG, G. S. GOLITSYN, M. V. MAKAROVA, V. S. RAKITIN, Yu. SHTABKIN, A. I. SKOROKHOD, E. I. GRECHKO, E.V. FOKEEVA, A. N. SAFRONOV, Liang RAN, Ting WANG, 2018: Long-Term Trends of Carbon Monoxide Total Columnar Amount in Urban Areas and Background Regions: Ground- and Satellite-based Spectroscopic Measurements, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 785-795.  doi: 10.1007/s00376-017-6327-8
    [5] Bozhen LI, Gen ZHANG, Lingjun XIA, Ping KONG, Mingjin ZHAN, Rui SU, 2020: Spatial and Temporal Distributions of Atmospheric CO2 in East China Based on Data from Three Satellites, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 1323-1337.  doi: 10.1007/s00376-020-0123-6
    [6] ZHENG Jing, Jun LI, Timothy J. SCHMIT, Jinlong LI, Zhiquan LIU, 2015: The Impact of AIRS Atmospheric Temperature and Moisture Profiles on Hurricane Forecasts: Ike (2008) and Irene (2011), ADVANCES IN ATMOSPHERIC SCIENCES, 32, 319-335.  doi: 10.1007/s00376-014-3162-z
    [7] 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
    [8] Yanni Qu, Mitchell D. Goldberg, Murty Divakarla, 2001: Ozone Profile Retrieval from Satellite Observation Using High Spectral Resolution Infrared Sounding Instrument, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 959-971.
    [9] Eun-Han KWON, Jinlong LI, B. J. SOHN, Elisabeth WEISZ, 2012: Use of Total Precipitable Water Classification of A Priori Error and Quality Control in Atmospheric Temperature and Water Vapor Sounding Retrieval, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 263-273.  doi: 10.1007/s00376-011-1119-z
    [10] Chengcheng NI, Guoping LI, Xiaozhen XIONG, 2017: Analysis of a Vortex Precipitation Event over Southwest China Using AIRS and In Situ Measurements, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 559-570.  doi: 10.1007/s00376-016-5262-4
    [11] ZHANG Lei, QIU Chongjian, HUANG Jianping, 2008: A Three-Dimensional Satellite Retrieval Method for Atmospheric Temperature and Moisture Profiles, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 897-904.  doi: 10.1007/s00376-008-0897-4
    [12] Li Jun, 1995: The Capability of Atmospheric Profile Retrieval from Satellite High Resolution Infrared Sounder Radiances, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 255-258.  doi: 10.1007/BF02656838
    [13] 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
    [14] 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
    [15] 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
    [16] Jin Long, LuoYing, Lin Zhenshan, 1997: Comparison of Long-Term Forecasting of June-August Rainfall over Changjiang-Huaihe Valley, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 87-92.  doi: 10.1007/s00376-997-0047-4
    [17] 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
    [18] 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
    [19] Myoung-Hwan AHN, Eun-Ha SOHN, Byong-Jun HWANG, Chu-Yong CHUNG, Xiangqian WU, 2006: Derivation of Regression Coefficients for Sea Surface Temperature Retrieval over East Asia, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 474-486.  doi: 10.1007/s00376-006-0474-7
    [20] TAO Li, Xiouhua FU, LU Weisong, 2009: Moisture Structure of the Quasi-biweekly Mode Revealed by AIRS in Western Pacific, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 513-522.  doi: 10.1007/s00376-009-0513-2

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Manuscript History

Manuscript received: 10 July 1994
Manuscript revised: 10 July 1994
通讯作者: 陈斌, bchen63@163.com
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Optimal Use of High Resolution Infrared Sounder Channels in Atmospheric Profile Retrieval

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

Abstract: Due to correlations among high resolution infrared sounder radiances and retrieval computation efficiency, it is prudent to use a set of statistically less correlated channels which not only retains the majority of measurement infor-mation but also yields the most accurate atmospheric profile retrievals. The statistical procedure of these channels se-lection is described in the paper. The use of optimal selected channels simulated for the measurements of AIRS (Atmospheric InfRared Sounder) in the statistical / physical retrieval is discussed. Simulated AIRS inversion results demonstrate the advantages of using optimal channel set that produce the accurate and stable retrieval solution.

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