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    Improvements to a Simple Physical Model for Estimating Insolation from GOES Data

    Source: Journal of Climate and Applied Meteorology:;1983:;volume( 022 ):;issue: 003::page 505
    Author:
    Diak, George R.
    ,
    Gautier, Catherine
    DOI: 10.1175/1520-0450(1983)022<0505:ITASPM>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The simple physical model to estimate surface insolation from GOES data (described in Gautier et al., 1980) has been improved through some modifications to existing physics (Rayleigh scattering and water vapor absorption), and also the inclusion of ozone absorption, previously neglected. An empirical correction for clouds smaller than the GOES sensor field-of-view has also been introduced. The resulting model is more physically realistic than the old one and requires no additional computer time. Tests indicate that with minimal tuning, the error in daily insulation estimates has been reduced by ?1% compared to the old model. Removal of systematic error resulted in an additional 0.2% improvement.
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      Improvements to a Simple Physical Model for Estimating Insolation from GOES Data

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4145589
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    • Journal of Climate and Applied Meteorology

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    contributor authorDiak, George R.
    contributor authorGautier, Catherine
    date accessioned2017-06-09T13:59:23Z
    date available2017-06-09T13:59:23Z
    date copyright1983/03/01
    date issued1983
    identifier issn0733-3021
    identifier otherams-10469.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4145589
    description abstractThe simple physical model to estimate surface insolation from GOES data (described in Gautier et al., 1980) has been improved through some modifications to existing physics (Rayleigh scattering and water vapor absorption), and also the inclusion of ozone absorption, previously neglected. An empirical correction for clouds smaller than the GOES sensor field-of-view has also been introduced. The resulting model is more physically realistic than the old one and requires no additional computer time. Tests indicate that with minimal tuning, the error in daily insulation estimates has been reduced by ?1% compared to the old model. Removal of systematic error resulted in an additional 0.2% improvement.
    publisherAmerican Meteorological Society
    titleImprovements to a Simple Physical Model for Estimating Insolation from GOES Data
    typeJournal Paper
    journal volume22
    journal issue3
    journal titleJournal of Climate and Applied Meteorology
    identifier doi10.1175/1520-0450(1983)022<0505:ITASPM>2.0.CO;2
    journal fristpage505
    journal lastpage508
    treeJournal of Climate and Applied Meteorology:;1983:;volume( 022 ):;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
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