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    Estimation of Stratospheric-Mesospheric Density Fields from Satellite Radiance Data

    Source: Monthly Weather Review:;1974:;volume( 102 ):;issue: 004::page 313
    Author:
    Quiroz, Roderick S.
    DOI: 10.1175/1520-0493(1974)102<0313:EOSMDF>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Knowledge of the air density at altitudes above 30 km is needed for such applications as the calculation of space shuttle reentry heating. A method is described for deriving hemispheric (or global) horizontal density fields at 40?60 km directly from radiance maps based on infrared measurements by such instruments as the Nimbus 4 Satellite Infrared Spectrometer and the Selective Chopper Radiometer. Direct regression of air density with the radiance measured in individual channels of these instruments is investigated. From hydrostatic considerations, maximum density-radiance correlation is expected to occur at about 2.5 scale-heights above the level of maximum temperature-radiance correlation; the latter is found near the peak of the transmittance weighting function for each channel. This expectation is substantially verified with the aid of a statistical sample of rocketsonde temperature and density profiles and radiances computed with the appropriate transmittance data. Regression equations are developed for specifying the density with a standard error within 5?7% of the observed density. For the period of a major stratospheric warming in January?February 1973, sample density maps at 50 km are shown, derived from radiance measurements of the NOAA-2 Vertical Temperature Profile Radiometer. These indicate a density increase by more than 50% near the North Pole, from late January to early February.
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      Estimation of Stratospheric-Mesospheric Density Fields from Satellite Radiance Data

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4199121
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    • Monthly Weather Review

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    contributor authorQuiroz, Roderick S.
    date accessioned2017-06-09T16:00:32Z
    date available2017-06-09T16:00:32Z
    date copyright1974/04/01
    date issued1974
    identifier issn0027-0644
    identifier otherams-58651.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4199121
    description abstractKnowledge of the air density at altitudes above 30 km is needed for such applications as the calculation of space shuttle reentry heating. A method is described for deriving hemispheric (or global) horizontal density fields at 40?60 km directly from radiance maps based on infrared measurements by such instruments as the Nimbus 4 Satellite Infrared Spectrometer and the Selective Chopper Radiometer. Direct regression of air density with the radiance measured in individual channels of these instruments is investigated. From hydrostatic considerations, maximum density-radiance correlation is expected to occur at about 2.5 scale-heights above the level of maximum temperature-radiance correlation; the latter is found near the peak of the transmittance weighting function for each channel. This expectation is substantially verified with the aid of a statistical sample of rocketsonde temperature and density profiles and radiances computed with the appropriate transmittance data. Regression equations are developed for specifying the density with a standard error within 5?7% of the observed density. For the period of a major stratospheric warming in January?February 1973, sample density maps at 50 km are shown, derived from radiance measurements of the NOAA-2 Vertical Temperature Profile Radiometer. These indicate a density increase by more than 50% near the North Pole, from late January to early February.
    publisherAmerican Meteorological Society
    titleEstimation of Stratospheric-Mesospheric Density Fields from Satellite Radiance Data
    typeJournal Paper
    journal volume102
    journal issue4
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1974)102<0313:EOSMDF>2.0.CO;2
    journal fristpage313
    journal lastpage318
    treeMonthly Weather Review:;1974:;volume( 102 ):;issue: 004
    contenttypeFulltext
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