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    Objective Analysis of Discontinuous Satellite-Derived Data Fields for Grid Point Interpolation

    Source: Journal of Applied Meteorology:;1982:;volume( 021 ):;issue: 010::page 1571
    Author:
    Lipton, Alan E.
    ,
    Hillger, Donald W.
    DOI: 10.1175/1520-0450(1982)021<1571:OAODSD>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: In retrieval of atmospheric temperature and moisture soundings from satellite infrared radiance measurements the raw data commonly used consist of dense fields of radiances interrupted by data-free gaps. This note reports an objective analysis procedure which was developed to specifically handle data fields of a discontinuous nature. The method is a correlation-weighted interpolation scheme and includes an oval-extension gap filling feature. Test cases demonstrate the ability of the program to fill gaps caused by instrument calibration periods and by data contamination due to clouds. The procedure is shown to produce much better results within a data-free region than does a similar method without the gap filling feature. An application of this method is also shown in a comparison of satellite-derived atmospheric parameters with conventional observations on a point-to-point basis. However, applications of the procedure are not limited to satellite data analysis, but could include analyses of aircraft data and data from ocean buoys.
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      Objective Analysis of Discontinuous Satellite-Derived Data Fields for Grid Point Interpolation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4145482
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    contributor authorLipton, Alan E.
    contributor authorHillger, Donald W.
    date accessioned2017-06-09T13:59:05Z
    date available2017-06-09T13:59:05Z
    date copyright1982/10/01
    date issued1982
    identifier issn0021-8952
    identifier otherams-10372.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4145482
    description abstractIn retrieval of atmospheric temperature and moisture soundings from satellite infrared radiance measurements the raw data commonly used consist of dense fields of radiances interrupted by data-free gaps. This note reports an objective analysis procedure which was developed to specifically handle data fields of a discontinuous nature. The method is a correlation-weighted interpolation scheme and includes an oval-extension gap filling feature. Test cases demonstrate the ability of the program to fill gaps caused by instrument calibration periods and by data contamination due to clouds. The procedure is shown to produce much better results within a data-free region than does a similar method without the gap filling feature. An application of this method is also shown in a comparison of satellite-derived atmospheric parameters with conventional observations on a point-to-point basis. However, applications of the procedure are not limited to satellite data analysis, but could include analyses of aircraft data and data from ocean buoys.
    publisherAmerican Meteorological Society
    titleObjective Analysis of Discontinuous Satellite-Derived Data Fields for Grid Point Interpolation
    typeJournal Paper
    journal volume21
    journal issue10
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1982)021<1571:OAODSD>2.0.CO;2
    journal fristpage1571
    journal lastpage1581
    treeJournal of Applied Meteorology:;1982:;volume( 021 ):;issue: 010
    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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