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    A REGRESSION METHOD FOR OBTAINING REAL-TIME TEMPERATURE AND GEOPOTENTIAL HEIGHT PROFILES FROM SATELLITE SPECTROMETER MEASUREMENTS AND ITS APPLICATION TO NIMBUS 3 “SIRS” OBSERVATIONS

    Source: Monthly Weather Review:;1970:;volume( 098 ):;issue: 008::page 582
    Author:
    SMITH, W. L.
    ,
    WOOLF, H. M.
    ,
    JACOB, W. J.
    DOI: 10.1175/1520-0493(1970)098<0582:ARMFOR>2.3.CO;2
    Publisher: American Meteorological Society
    Abstract: A least squares regression method is formulated for obtaining global temperature and geopotential height profiles from satellite radiation measurements, particularly those obtained by the Sate1lite Infra-Red Spectrometer (SIRS) aboard the Nimbus 3 satellite launched Apr. 14, 1969. Regression equations relating temperature and geopotential height to spectral radiance observations are derived. A method accounting for the influence of clouds, mountains, and hot terrain on the solutions is described. Results obtained from Nimbus 3 radiance data are presented. The procedure described herein has been successfully applied to Nimbus 3 SIRS observations on a real-time basis. The temperature and geopotential heights obtained are being used operationally by the National Meteorological Center in their objective constant pressure analyses. Numerous meteorological results are given to demonstrate the usefulness of this new sounding tool.
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      A REGRESSION METHOD FOR OBTAINING REAL-TIME TEMPERATURE AND GEOPOTENTIAL HEIGHT PROFILES FROM SATELLITE SPECTROMETER MEASUREMENTS AND ITS APPLICATION TO NIMBUS 3 “SIRS” OBSERVATIONS

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4198654
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    • Monthly Weather Review

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    contributor authorSMITH, W. L.
    contributor authorWOOLF, H. M.
    contributor authorJACOB, W. J.
    date accessioned2017-06-09T15:59:23Z
    date available2017-06-09T15:59:23Z
    date copyright1970/08/01
    date issued1970
    identifier issn0027-0644
    identifier otherams-58230.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4198654
    description abstractA least squares regression method is formulated for obtaining global temperature and geopotential height profiles from satellite radiation measurements, particularly those obtained by the Sate1lite Infra-Red Spectrometer (SIRS) aboard the Nimbus 3 satellite launched Apr. 14, 1969. Regression equations relating temperature and geopotential height to spectral radiance observations are derived. A method accounting for the influence of clouds, mountains, and hot terrain on the solutions is described. Results obtained from Nimbus 3 radiance data are presented. The procedure described herein has been successfully applied to Nimbus 3 SIRS observations on a real-time basis. The temperature and geopotential heights obtained are being used operationally by the National Meteorological Center in their objective constant pressure analyses. Numerous meteorological results are given to demonstrate the usefulness of this new sounding tool.
    publisherAmerican Meteorological Society
    titleA REGRESSION METHOD FOR OBTAINING REAL-TIME TEMPERATURE AND GEOPOTENTIAL HEIGHT PROFILES FROM SATELLITE SPECTROMETER MEASUREMENTS AND ITS APPLICATION TO NIMBUS 3 “SIRS” OBSERVATIONS
    typeJournal Paper
    journal volume98
    journal issue8
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1970)098<0582:ARMFOR>2.3.CO;2
    journal fristpage582
    journal lastpage603
    treeMonthly Weather Review:;1970:;volume( 098 ):;issue: 008
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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