• Aires, F., , Rossow W. B. , , Scott N. , , and Chedin A. , 2002: Remote sensing from the infrared atmospheric sounding interferometer instrument 2. Simultaneous retrieval of temperature, water vapor, and ozone atmospheric profiles. J. Geophys. Res., 107, 4620, doi:10.1029/2001JD001591.

    • Search Google Scholar
    • Export Citation
  • Blumstein, D., , Chalon G. , , Carlier T. , , Buil C. , , Hebert P. , , Maciaszek T. , , Ponce G. , , and Phulpin T. , 2004: IASI instrument: Technical overview and measured performances. Infrared Spaceborne Remote Sensing XII, M. Strojnik, Ed., International Society for Optical Engineering (SPIE Proceedings, Vol. 5543), 196–207.

  • Carissimo, A., , De Feis I. , , and Serio C. , 2005: The physical retrieval methodology for IASI: The δ-IASI code. Environ. Modell. Software, 20, 11111126.

    • Search Google Scholar
    • Export Citation
  • Chahine, M. T., and Coauthors, 2006: AIRS: Improving weather forecasting and providing new data on greenhouse gases. Bull. Amer. Meteor. Soc., 87, 911926.

    • Search Google Scholar
    • Export Citation
  • Chahine, M. T., , Manning E. , , Rosenkranz P. , , Strow L. , , and Susskind J. , 2007: AIRS-team retrieval for core products and geophysical parameters, level 2. Algorithm Theoretical Basis Doc. NASA JPL D-17006, version 4.0, 231 pp. [Available online at http://eospso.gsfc.nasa.gov/eos_homepage/for_scientists/atbd/docs/AIRS/20070301_L2_ATBD_signed.pdf.]

  • Dessler, A. E., , Zhang Z. , , and Yang P. , 2008: Water-vapor climate feedback inferred from climate fluctuations, 2003–2008. Geophys. Res. Lett., 35, L20704, doi:10.1029/2008GL035333.

    • Search Google Scholar
    • Export Citation
  • Divakarla, M., , Barnet C. , , Goldberg M. , , McMillin L. , , Maddy E. , , Wolf W. , , Zhou L. , , and Liu X. , 2006: Validation of Atmospheric Infrared Sounder temperature and water vapor retrievals with matched radiosonde measurements and forecasts. J. Geophys. Res., 111, D09S15, doi:10.1029/2005JD006116.

    • Search Google Scholar
    • Export Citation
  • Gettleman, A., , Collins W. D. , , Fetzer E. J. , , Eldering A. , , Irion F. W. , , Duffy P. B. , , and Bala G. , 2006: Climatology of upper-tropospheric relative humidity from the Atmospheric Infrared Sounder and implications for climate. J. Climate, 19, 61046121.

    • Search Google Scholar
    • Export Citation
  • Goldberg, M., , Qu Y. , , McMillin L. , , Wolf W. , , Zhou L. , , and Divakarla M. , 2003: AIRS near-real-time products and algorithms in support of operational Numerical Weather Prediction. IEEE Trans. Geosci. Remote Sens., 41, 379389.

    • Search Google Scholar
    • Export Citation
  • Hillger, D. W., , and Schmit T. J. , 2010: Imager and sounder radiance and product validation for the GOES-14 science test. NOAA Tech. Rep. NESDIS 131, 105 pp.

  • Hilton, F., , Atkinson N. C. , , English S. J. , , and Eyre J. R. , 2009: Assimilation of IASI at the Met Office and assessment of its impact through observing system experiments. Quart. J. Roy. Meteor. Soc., 135, 495505.

    • Search Google Scholar
    • Export Citation
  • Li, J., , and Liu H. , 2009: Improved hurricane track and intensity forecast using single field-of-view advanced IR sounding measurements. Geophys. Res. Lett., 36, L11813, doi:10.1029/2009GL038285.

    • Search Google Scholar
    • Export Citation
  • Li, J., , Wolf W. W. , , Menzel W. P. , , Zhang W. , , Huang H.-L. , , and Achtor T. H. , 2000: Global soundings of the atmosphere from ATOVS measurements: The algorithm and validation. J. Appl. Meteor., 39, 12481268.

    • Search Google Scholar
    • Export Citation
  • Li, J., , Li J. , , Weisz E. , , and Zhou D. K. , 2007: Physical retrieval of surface emissivity spectrum from hyperspectral infrared radiances. Geophys. Res. Lett., 34, L16812, doi:10.1029/2007GL030543.

    • Search Google Scholar
    • Export Citation
  • Liu, H., , and Li J. , 2010: An improved in forecasting rapid intensification of Typhoon Sinlaku (2008) using clear-sky full spatial resolution advanced IR soundings. J. Appl. Meteor. Climatol., 49, 821827.

    • Search Google Scholar
    • Export Citation
  • Liu, X., , Zhou D. K. , , Larar A. M. , , Smith W. L. , , Schluessel P. , , Newman S. M. , , Taylor J. P. , , and Wu W. , 2009: Retrieval of atmospheric profiles and cloud properties from IASI spectra using super-channels. Atmos. Chem. Phys., 9, 91219142.

    • Search Google Scholar
    • Export Citation
  • Miloshevich, L. M., , Paukkunen A. , , Vomel H. , , and Oltmans S. , 2004: Development and validation of a time-lag correction for Vaisala radiosonde humidity measurements. J. Atmos. Oceanic Technol., 21, 13051327.

    • Search Google Scholar
    • Export Citation
  • Miloshevich, L. M., , Vömel H. , , Whiteman D. N. , , Lesht B. M. , , Schmidlin F. J. , , and Russo F. , 2006: Absolute accuracy of water vapor measurements from six operational radiosonde types launched during AWEX-G and implications for AIRS validation. J. Geophys. Res., 111, D09S01, doi:10.1029/2005JD006083.

    • Search Google Scholar
    • Export Citation
  • NOAA/NESDIS, 2008: IASI-team retrieval for core products and geophysical parameters. 4 pp. [Available from http://www.star.nesdis.noaa.gov/smcd/spb/iosspdt/qadocs/ATBD/Introduction.doc.]

  • Reale, O., , Lau W. , , Susskind J. , , Brin E. , , Liu E. , , Riishojgaard L. P. , , Fuentes M. , , and Rosenberg R. , 2008a: AIRS impact on the analysis and forecast track of tropical cyclone Nargis in a global data assimilation and forecasting system. Geophys. Res. Lett., 36, L06812, doi:10.1029/2008GL037122.

    • Search Google Scholar
    • Export Citation
  • Reale, O., , Susskind J. , , Rosenberg R. , , Brin E. , , Liu E. , , Riishojgaard L. P. , , Terry J. , , and Jusem J. C. , 2008b: Improving forecast skill by assimilation of quality-controlled AIRS temperature retrievals under partially cloudy conditions. Geophys. Res. Lett., 35, L08809, doi:10.1029/2007GL033002.

    • Search Google Scholar
    • Export Citation
  • Singh, R., , Pal P. K. , , Kishtawal C. M. , , and Joshi P. C. , 2008: Impact of Atmospheric Infrared Sounder data on the numerical simulation of a historical Mumbai rain event. Wea. Forecasting, 23, 891913.

    • Search Google Scholar
    • Export Citation
  • Smith, W. L. Sr., , Zhou D. K. , , Larar A. M. , , Mango S. A. , , Knuteson H. B. , , Revercomb H. E. , , and Smith W. L. Jr., 2005: The NPOESS Airborne Sounding Testbed interferometer—Remotely sensed surface and atmospheric conditions during CLAMS. J. Atmos. Sci., 62, 11181134.

    • Search Google Scholar
    • Export Citation
  • Smith, W. L. Sr., and Coauthors, 2009: Evolution, current capabilities, and future advances in satellite ultra-spectral IR sounding. Atmos. Chem. Phys. Discuss., 9, 65416569, doi:10.5194/acpd-9-6541-2009.

    • Search Google Scholar
    • Export Citation
  • Stubenrauch, C., , Cros S. , , Guignard A. , , and Lamquin N. , 2010: A 6-year global cloud climatology from the Atmospheric InfraRed Sounder AIRS and a statistical analysis in synergy with CALIPSO and CloudSat. Atmos. Chem. Phys., 10, 71977214.

    • Search Google Scholar
    • Export Citation
  • Susskind, J., , Barnet C. , , and Blaisdell J. , 2003: Retrieval of atmospheric and surface parameters from AIRS/AMSU/HSB data in the presence of clouds. IEEE Trans. Geosci. Remote Sens., 41, 390409.

    • Search Google Scholar
    • Export Citation
  • Susskind, J., , Barnet C. , , Blaisdell J. , , Iredell L. , , Keita F. , , Kouvaris L. , , Molnar G. , , and Chahine M. , 2006: Accuracy of geophysical parameters derived from Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit as a function of fractional cloud cover. J. Geophys. Res., 111, D09S17, doi:10.1029/2005JD006272.

    • Search Google Scholar
    • Export Citation
  • Tian, B., , Waliser D. E. , , Fetzer E. J. , , Lambrigtsen B. H. , , Yung Y. , , and Wang B. , 2006: Vertical moist thermodynamic structure and spatial-temporal evolution of the MJO in AIRS observations. J. Atmos. Sci., 63, 24622485.

    • Search Google Scholar
    • Export Citation
  • Tobin, D., and Coauthors, 2006: Atmospheric Radiation Measurement site atmospheric state best estimates for Atmospheric Infrared Sounder temperature and water vapor retrieval validation. J. Geophys. Res., 111, D09S14, doi:10.1029/2005JD006103.

    • Search Google Scholar
    • Export Citation
  • Yao, Z., , Li J. , , Li J. , , and Zhang H. , 2011: Surface emissivity impact on temperature and moisture soundings from hyperspectral infrared radiance measurements. J. Appl. Meteor. Climatol., 50, 12251235.

    • Search Google Scholar
    • Export Citation
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Validating IASI Temperature and Moisture Sounding Retrievals over East Asia Using Radiosonde Observations

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  • 1 School of Earth and Environmental Sciences, Seoul National University, Seoul, South Korea
  • | 2 Department of Atmospheric and Planetary Sciences, Hampton University, Hampton, Virginia
  • | 3 Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin—Madison, Madison, Wisconsin
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Abstract

Temperature and moisture profiles retrieved from Infrared Atmospheric Sounding Interferometer (IASI) data are evaluated using collocated radiosonde data from September 2008 to August 2009 over East Asia. The level-2 products used in this study were provided by the National Oceanic and Atmospheric Administration/National Environmental Satellite, Data, and Information Service. By using radiosonde observations as a reference, the bias and root-mean-square error (RMSE) of the temperature and water vapor profiles are obtained to examine the performance of the IASI retrievals depending on surface types and the degree of atmospheric moisture. Overall, retrievals over the land or under drier atmospheric conditions show degraded performance for both the temperature and the moisture, especially for the boundary layer temperature. It is further shown that the vertical distributions of the RMSEs and the biases of the IASI retrievals resemble the variability pattern of the radiosonde observations from the mean profiles. These retrieval aspects are thought to be related to the surface emissivity effect on the IASI retrieval and the difficulties of accounting for large atmospheric variability in the retrieval process. Although the retrieval performance appears to degrade under cloudy conditions, cloudy- and clear-sky retrievals show similar statistical behaviors varying with surface type and atmospheric moisture. Furthermore, the similar statistical behaviors between first guess and final retrievals suggest that error characteristics inherent to the first guess were not sufficiently resolved by the physical retrieval process, leaving a need to improve the first guess for the better retrieval.

Corresponding author address: Byung-Ju Sohn, School of Earth and Environmental Sciences, Seoul National University, Mail Code NS80, Seoul 151-747, South Korea. E-mail: sohn@snu.ac.kr

Abstract

Temperature and moisture profiles retrieved from Infrared Atmospheric Sounding Interferometer (IASI) data are evaluated using collocated radiosonde data from September 2008 to August 2009 over East Asia. The level-2 products used in this study were provided by the National Oceanic and Atmospheric Administration/National Environmental Satellite, Data, and Information Service. By using radiosonde observations as a reference, the bias and root-mean-square error (RMSE) of the temperature and water vapor profiles are obtained to examine the performance of the IASI retrievals depending on surface types and the degree of atmospheric moisture. Overall, retrievals over the land or under drier atmospheric conditions show degraded performance for both the temperature and the moisture, especially for the boundary layer temperature. It is further shown that the vertical distributions of the RMSEs and the biases of the IASI retrievals resemble the variability pattern of the radiosonde observations from the mean profiles. These retrieval aspects are thought to be related to the surface emissivity effect on the IASI retrieval and the difficulties of accounting for large atmospheric variability in the retrieval process. Although the retrieval performance appears to degrade under cloudy conditions, cloudy- and clear-sky retrievals show similar statistical behaviors varying with surface type and atmospheric moisture. Furthermore, the similar statistical behaviors between first guess and final retrievals suggest that error characteristics inherent to the first guess were not sufficiently resolved by the physical retrieval process, leaving a need to improve the first guess for the better retrieval.

Corresponding author address: Byung-Ju Sohn, School of Earth and Environmental Sciences, Seoul National University, Mail Code NS80, Seoul 151-747, South Korea. E-mail: sohn@snu.ac.kr
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