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    GOES-VAS Simultaneous Temperature-Moisture Retrieval Algorithm

    Source: Journal of Applied Meteorology:;1988:;volume( 027 ):;issue: 006::page 705
    Author:
    Hayden, Christopher M.
    DOI: 10.1175/1520-0450(1988)027<0705:GVSTMR>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Vertical soundings of temperature and moisture derived from the GOES VISSR Atmospheric Sounder (VAS) measurements have been produced operationally since summer 1987 at the VAS Data Utilization Center (VDUC). The algorithm which was developed for the VDUC is described here in detail. Tunable features are identified, and their sensitivities are shown. The algorithm is used to process a case study for 6 March 1982 to examine its capability in a rapidly evolving weather pattern. Weaknesses are exposed, in particular the bias errors in the retrievals and the dependence on first guesses, but strengths are also evident, namely, the capacity to refine gradients and patterns in a manner which improves the first guesses.
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      GOES-VAS Simultaneous Temperature-Moisture Retrieval Algorithm

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4146561
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    contributor authorHayden, Christopher M.
    date accessioned2017-06-09T14:02:21Z
    date available2017-06-09T14:02:21Z
    date copyright1988/06/01
    date issued1988
    identifier issn0894-8763
    identifier otherams-11343.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4146561
    description abstractVertical soundings of temperature and moisture derived from the GOES VISSR Atmospheric Sounder (VAS) measurements have been produced operationally since summer 1987 at the VAS Data Utilization Center (VDUC). The algorithm which was developed for the VDUC is described here in detail. Tunable features are identified, and their sensitivities are shown. The algorithm is used to process a case study for 6 March 1982 to examine its capability in a rapidly evolving weather pattern. Weaknesses are exposed, in particular the bias errors in the retrievals and the dependence on first guesses, but strengths are also evident, namely, the capacity to refine gradients and patterns in a manner which improves the first guesses.
    publisherAmerican Meteorological Society
    titleGOES-VAS Simultaneous Temperature-Moisture Retrieval Algorithm
    typeJournal Paper
    journal volume27
    journal issue6
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1988)027<0705:GVSTMR>2.0.CO;2
    journal fristpage705
    journal lastpage733
    treeJournal of Applied Meteorology:;1988:;volume( 027 ):;issue: 006
    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