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    Mathematical Aspects in Meteorological Processing of Infrared Spectral Measurements from the GOES Sounder. Part I: Constructing the Measurement Estimate Using Spatial Smoothing

    Source: Journal of Applied Meteorology:;2001:;volume( 040 ):;issue: 003::page 556
    Author:
    Plokhenko, Youri
    ,
    Menzel, W. Paul
    DOI: 10.1175/1520-0450(2001)040<0556:MAIMPO>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The accuracy of temperature and moisture vertical profiles retrieved from infrared spectral measurements is dependent on accurate definition of all contributions from the observed ?surface?atmosphere? system to the outgoing radiances. The associated inverse problem is ill posed. Instrument noise is a major contributor to errors in modeling spectral measurements. This paper considers an approach for noise reduction in the Geostationary Operational Environmental Satellite (GOES) spectral channels using spatial averaging that is based upon spectral characteristics of the measurements, spatial properties of atmospheric fields of temperature and moisture, and properties of the inverse problem. Spatial averaging over different fields of regard is studied for the GOES-8 sounder spectral bands. Results of the statistical analysis are presented.
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      Mathematical Aspects in Meteorological Processing of Infrared Spectral Measurements from the GOES Sounder. Part I: Constructing the Measurement Estimate Using Spatial Smoothing

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4148366
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    contributor authorPlokhenko, Youri
    contributor authorMenzel, W. Paul
    date accessioned2017-06-09T14:07:46Z
    date available2017-06-09T14:07:46Z
    date copyright2001/03/01
    date issued2001
    identifier issn0894-8763
    identifier otherams-12969.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4148366
    description abstractThe accuracy of temperature and moisture vertical profiles retrieved from infrared spectral measurements is dependent on accurate definition of all contributions from the observed ?surface?atmosphere? system to the outgoing radiances. The associated inverse problem is ill posed. Instrument noise is a major contributor to errors in modeling spectral measurements. This paper considers an approach for noise reduction in the Geostationary Operational Environmental Satellite (GOES) spectral channels using spatial averaging that is based upon spectral characteristics of the measurements, spatial properties of atmospheric fields of temperature and moisture, and properties of the inverse problem. Spatial averaging over different fields of regard is studied for the GOES-8 sounder spectral bands. Results of the statistical analysis are presented.
    publisherAmerican Meteorological Society
    titleMathematical Aspects in Meteorological Processing of Infrared Spectral Measurements from the GOES Sounder. Part I: Constructing the Measurement Estimate Using Spatial Smoothing
    typeJournal Paper
    journal volume40
    journal issue3
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(2001)040<0556:MAIMPO>2.0.CO;2
    journal fristpage556
    journal lastpage567
    treeJournal of Applied Meteorology:;2001:;volume( 040 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian