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    Temperature Profiling with Neural Network Inversion of Microwave Radiometer Data

    Source: Journal of Atmospheric and Oceanic Technology:;1994:;volume( 011 ):;issue: 001::page 105
    Author:
    Churnside, James H.
    ,
    Stermitz, Thomas A.
    ,
    Schroeder, Judith A.
    DOI: 10.1175/1520-0426(1994)011<0105:TPWNNI>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A neural network is used to obtain vertical profiles of temperature from microwave radiometer data. The overall rms error in the retrieved profiles of a test dataset was only about 8% worse than the overall error using an optimized statistical retrieval. In certain cases, such as one with a large temperature inversion, the neural network produced better reproductions of the profiles than did the statistical inversion.
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      Temperature Profiling with Neural Network Inversion of Microwave Radiometer Data

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4231066
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    contributor authorChurnside, James H.
    contributor authorStermitz, Thomas A.
    contributor authorSchroeder, Judith A.
    date accessioned2017-06-09T17:34:27Z
    date available2017-06-09T17:34:27Z
    date copyright1994/02/01
    date issued1994
    identifier issn0739-0572
    identifier otherams-874.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231066
    description abstractA neural network is used to obtain vertical profiles of temperature from microwave radiometer data. The overall rms error in the retrieved profiles of a test dataset was only about 8% worse than the overall error using an optimized statistical retrieval. In certain cases, such as one with a large temperature inversion, the neural network produced better reproductions of the profiles than did the statistical inversion.
    publisherAmerican Meteorological Society
    titleTemperature Profiling with Neural Network Inversion of Microwave Radiometer Data
    typeJournal Paper
    journal volume11
    journal issue1
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/1520-0426(1994)011<0105:TPWNNI>2.0.CO;2
    journal fristpage105
    journal lastpage109
    treeJournal of Atmospheric and Oceanic Technology:;1994:;volume( 011 ):;issue: 001
    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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