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Volume 18 Issue 5

Sep.  2001

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Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2001 >  18(5): 959-971

Ozone Profile Retrieval from Satellite Observation Using High Spectral Resolution Infrared Sounding Instrument

  • 1.

    Research and Data System Corporation, 7833 Walker Dr. Greenbelt, MD 20770,National Environment Satellite Data and Information Service, Office of Research and Application, World Weather Building, 5200 Auth Road, Camp Springs, MD 20746,Research and Data System Corporation, 7833 Walker Dr. Greenbelt, MD 20770

  • This paper presents a preliminary result on the retrieval of atmospheric ozone profiles using an im proved regression technique and utilizing the data from the Atmospheric InfraRed Sounder (AIRS), a hyper-spectral instrument expected to be flown on the EOS-AQUA platform in 2002. Simulated AIRS spectra were used to study the sensitivity of AIRS radiance on the tropospheric and stratospheric ozone changes, and to study the impact of various channel combinations on the ozone profile retrieval. Sensitivity study results indicate that the AIRS high resolution spectral channels between the wavenumber 650- 800 cm-1 provide very useful information to accurately retrieve tropospheric and stratospheric ozone pro files. Eigenvector decomposition of AIRS spectra indicate that no more than 100 eigenvectors are needed to retrieve very accurate ozone profiles. The accuracy of the retrieved atmospheric ozone profile from the pres ent technique and utilizing the AIRS data was compared with the accuracy obtained from current Advanced TIROS Operational Vertical Sounder (ATOVS) data aboard National Oceanic and Atmospheric Admini stration (NOAA) satellites. As expected, a comparison of retrieval results confirms that the ozone profile re trieved with the AIRS data is superior to that of ATOVS.
  • [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] 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
    [3] 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
    [4] 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
    [5] 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
    [6] 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
    [7] 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
    [8] Liu Jianwen, Dong Peiming, 2001: Short-range Climate Prediction Experiment of the Southern Oscillation Index Based on the Singular Spectrum Analysis, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 873-881.
    [9] Jeong-Hyeong LEE, Keon-Tae SOHN, 2007: Prediction of Monthly Mean Surface Air Temperature in a Region of China, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 503-508.  doi: 10.1007/s00376-007-0503-1
    [10] Yu Rucong, Zhang Minghua, Yu Yongqiang, Liu Yimin, 2001: Summer Monsoon Rainfalls over Mid-Eastern China Lagged Correlated with Global SSTs, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 179-196.  doi: 10.1007/s00376-001-0012-6
    [11] 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
    [12] 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
    [13] Silvia Alessio, Arnaldo Longhetto, Luo Meixia, 1999: The Space and Time Features of Global SST Anomalies Studied by Complex Principal Component Analysis, ADVANCES IN ATMOSPHERIC SCIENCES, 16, 1-23.  doi: 10.1007/s00376-999-0001-8
    [14] ZHANG Hua, XUE Jishan, ZHU Guofu, ZHUANG Shiyu, WU Xuebao, ZHANG Fengying, 2004: Application of Direct Assimilation of ATOVS Microwave Radiances to Typhoon Track Prediction, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 283-290.  doi: 10.1007/BF02915715
    [15] Myoung-Hwan AHN, Mee-Ja KIM, Chu-Yong CHUNG, Ae-Sook SUH, 2003: Operational Implementation of the ATOVS Processing Procedure in KMA and Its Validation, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 398-414.  doi: 10.1007/BF02690798
    [16] QI Linlin, SUN Jianhua, 2006: Application of ATOVS Microwave Radiance Assimilation to Rainfall Prediction in Summer 2004, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 815-830.  doi: 10.1007/s00376-006-0815-6
    [17] Michael B. RICHMAN, Lance M. LESLIE, Theodore B. TRAFALIS, Hicham MANSOURI, 2015: Data Selection Using Support Vector Regression, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 277-286.  doi: 10.1007/s00376-014-4072-9
    [18] 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
    [19] KE Zongjian, DONG Wenjie, ZHANG Peiqun, WANG Jin, ZHAO Tianbao, 2009: An Analysis of the Difference between the Multiple Linear Regression Approach and the Multimodel Ensemble Mean, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 1157-1168.  doi: 10.1007/s00376-009-8024-8
    [20] 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
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    • Manuscript History

    Manuscript received: 10 September 2001
    Manuscript revised: 10 September 2001
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

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    Ozone Profile Retrieval from Satellite Observation Using High Spectral Resolution Infrared Sounding Instrument

    • 1. Research and Data System Corporation, 7833 Walker Dr. Greenbelt, MD 20770,National Environment Satellite Data and Information Service, Office of Research and Application, World Weather Building, 5200 Auth Road, Camp Springs, MD 20746,Research and Data System Corporation, 7833 Walker Dr. Greenbelt, MD 20770
    • Manuscript received: 2001-09-10
    • Manuscript revised: 2001-09-10

    Abstract: This paper presents a preliminary result on the retrieval of atmospheric ozone profiles using an im proved regression technique and utilizing the data from the Atmospheric InfraRed Sounder (AIRS), a hyper-spectral instrument expected to be flown on the EOS-AQUA platform in 2002. Simulated AIRS spectra were used to study the sensitivity of AIRS radiance on the tropospheric and stratospheric ozone changes, and to study the impact of various channel combinations on the ozone profile retrieval. Sensitivity study results indicate that the AIRS high resolution spectral channels between the wavenumber 650- 800 cm-1 provide very useful information to accurately retrieve tropospheric and stratospheric ozone pro files. Eigenvector decomposition of AIRS spectra indicate that no more than 100 eigenvectors are needed to retrieve very accurate ozone profiles. The accuracy of the retrieved atmospheric ozone profile from the pres ent technique and utilizing the AIRS data was compared with the accuracy obtained from current Advanced TIROS Operational Vertical Sounder (ATOVS) data aboard National Oceanic and Atmospheric Admini stration (NOAA) satellites. As expected, a comparison of retrieval results confirms that the ozone profile re trieved with the AIRS data is superior to that of ATOVS.

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