Uses of NOAA-16 and -18 Satellite Measurements for Verifying the Limb-Correction Algorithm

Quanhua Liu Joint Center for Satellite Data Assimilation, and QSS Group, Inc., Camp Springs, Maryland

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Fuzhong Weng NOAA/NESDIS/Office of Research and Applications, Camp Springs, Maryland

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Abstract

The Advanced Microwave Sounding Unit (AMSU) images display strong dependence on the scanning angle because of the temperature gradient of the atmosphere and the change in the optical pathlength between Earth and the satellite. Using a limb-adjustment algorithm, the temperature gradients can be restored from the images. Various limb-correction algorithms have been developed for infrared and microwave sounders by aid of radiative transfer simulations. Together with the National Oceanic and Atmospheric Administration (NOAA)-16 AMSU, the NOAA-18 satellite with AMSU (launched on 20 May 2005) provides the best opportunity to collocate observations from two satellites. The collocated measurement pairs from NOAA-16 and NOAA-18 contain data for which both observations have the same scanning angle and various scanning angles—in particular, off-nadir observations from NOAA-16 and nadir observations from NOAA-18. The coincident data pair having the same scan position from NOAA-16 and NOAA-18 can be used for intercalibration of the sensors of the two satellites. The coincident data pair having nadir measurement from NOAA-18 and off-nadir measurement from NOAA-16 can be used for testing the limb-adjustment algorithm using pure satellite measurements. This study applies collocated measurements to evaluate the performance of the current NOAA microwave limb-correction algorithm for brightness temperatures at AMSU-A channels 5, 6, and 7 for the first time. With the limb correction, the warm core of Hurricane Katrina in 2005 can also be detected using a cross-scan sensor such as AMSU-A.

Corresponding author address: Quanhua Liu, Joint Center for Satellite Data Assimilation, 5200 Auth Rd., Rm. 703, Camp Springs, MD 20746. Email: quanhua.liu@noaa.gov

Abstract

The Advanced Microwave Sounding Unit (AMSU) images display strong dependence on the scanning angle because of the temperature gradient of the atmosphere and the change in the optical pathlength between Earth and the satellite. Using a limb-adjustment algorithm, the temperature gradients can be restored from the images. Various limb-correction algorithms have been developed for infrared and microwave sounders by aid of radiative transfer simulations. Together with the National Oceanic and Atmospheric Administration (NOAA)-16 AMSU, the NOAA-18 satellite with AMSU (launched on 20 May 2005) provides the best opportunity to collocate observations from two satellites. The collocated measurement pairs from NOAA-16 and NOAA-18 contain data for which both observations have the same scanning angle and various scanning angles—in particular, off-nadir observations from NOAA-16 and nadir observations from NOAA-18. The coincident data pair having the same scan position from NOAA-16 and NOAA-18 can be used for intercalibration of the sensors of the two satellites. The coincident data pair having nadir measurement from NOAA-18 and off-nadir measurement from NOAA-16 can be used for testing the limb-adjustment algorithm using pure satellite measurements. This study applies collocated measurements to evaluate the performance of the current NOAA microwave limb-correction algorithm for brightness temperatures at AMSU-A channels 5, 6, and 7 for the first time. With the limb correction, the warm core of Hurricane Katrina in 2005 can also be detected using a cross-scan sensor such as AMSU-A.

Corresponding author address: Quanhua Liu, Joint Center for Satellite Data Assimilation, 5200 Auth Rd., Rm. 703, Camp Springs, MD 20746. Email: quanhua.liu@noaa.gov

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  • Cao, C., M. Weinreb, and H. Xu, 2004: Predicting simultaneous nadir overpasses among polar-orbiting meteorological satellite for the intersatellite calibration of radiometers. J. Atmos. Oceanic Technol., 21 , 537542.

    • Search Google Scholar
    • Export Citation
  • Goldberg, M. D., D. S. Crosby, and L. Zhou, 2001: The limb adjustment of AMSU-A observations: Methodology and validation. J. Appl. Meteor., 40 , 7083.

    • Search Google Scholar
    • Export Citation
  • Liebe, H. J., G. A. Hufford, and M. G. Cotton, 1993: Propagation modeling of moist air and suspended water/ice particles below 1000 GHz. Proc. AGARD 52d Specialists Meeting of the Electromagnetic Wave Propagation Panel, Vol. 542, Palma de Mallorca, Spain, AGARD, 3.1–3.10.

  • Liu, Q., and F. Weng, 2006: Detecting the warm core of a hurricane from the Special Sensor Microwave Imager Sounder. Geophys. Res. Lett., 33 .L06817, doi:10.1029/2005GL025246.

    • Search Google Scholar
    • Export Citation
  • Mattioli, V., E. R. Westwater, S. I. Gutman, and V. R. Morris, 2005: Forward model studies of water vapor using scanning microwave radiometers, global position system, and radiosondes during the cloudiness intercomparison experiment. IEEE Trans. Geosci. Remote Sens., 43 , 10121021.

    • Search Google Scholar
    • Export Citation
  • Mo, T., 1999: AMSU-A antenna pattern correction. IEEE Trans. Geosci. Remote Sens., 37 , 103112.

  • Mo, T., 2006: Calibration and validation of the NOAA-18 microwave radiometers. Proc. Ninth Specialist Meeting on Microwave Radiometer and Remote Sensing Applications, San Juan, Puerto Rico, IEEE, CD-ROM.

  • Rosenkranz, P. W., 1998: Water vapor microwave continuum absorption: A comparison of measurements and models. Radio Sci., 33 , 919928.

    • Search Google Scholar
    • Export Citation
  • Wark, D. Q., 1993: Adjustment of TIROS Operational Vertical Sounder data to a vertical view. NOAA Tech. Rep. NESDIS 64, 36 pp.

  • Weng, F., L. Zhao, R. Ferraro, G. Poe, X. Li, and N. Grody, 2003: Advanced Microwave Sounding Unit cloud and precipitation algorithms. Radio Sci., 38 , 80868096.

    • Search Google Scholar
    • Export Citation
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