YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Journal of Climate and Applied Meteorology
    • View Item
    •   YE&T Library
    • AMS
    • Journal of Climate and Applied Meteorology
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Retrieval of Water Vapor Profiles via Principal Components: Options and Their Implications

    Source: Journal of Climate and Applied Meteorology:;1987:;Volume( 026 ):;Issue: 008::page 1038
    Author:
    Lipton, Alan E.
    ,
    Vonder Haar, Thomas H.
    DOI: 10.1175/1520-0450(1987)026<1038:ROWVPV>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Principal components have been widely used in regression retrieval of atmospheric parameters, but when applied to water vapor concentrations their use entails special problems. We discuss two of these problem and present results of retrieval experiments designed to alleviate them. The experiments employed High-resolution Infrared Radiation Sounder satellite data in conjunction with radiosonde observations. We found that mixing ratio is a less appropriate parameter for principal component-based retrieval than is a mean-saturation adjusted mixing ratio. Also, retrieval accuracy was vapor by identifying the optimum numbers of eigenvectors to use when transforming the water vapor profiles and the satellite brightness temperature, respectively, into their principal components. In our studies three eigenvectors were optimal for representation of water vapor, implying that HIRS-2 data are capable of retrieving at least third-order vertical resolution in water vapor profiles. In addition, we compared principal component-based retrieval with standard multiple regression and found that a hybrid of the two methods gave the greatest retrieval accuracy.
    • Download: (356.4Kb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Retrieval of Water Vapor Profiles via Principal Components: Options and Their Implications

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4146414
    Collections
    • Journal of Climate and Applied Meteorology

    Show full item record

    contributor authorLipton, Alan E.
    contributor authorVonder Haar, Thomas H.
    date accessioned2017-06-09T14:01:54Z
    date available2017-06-09T14:01:54Z
    date copyright1987/08/01
    date issued1987
    identifier issn0733-3021
    identifier otherams-11210.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4146414
    description abstractPrincipal components have been widely used in regression retrieval of atmospheric parameters, but when applied to water vapor concentrations their use entails special problems. We discuss two of these problem and present results of retrieval experiments designed to alleviate them. The experiments employed High-resolution Infrared Radiation Sounder satellite data in conjunction with radiosonde observations. We found that mixing ratio is a less appropriate parameter for principal component-based retrieval than is a mean-saturation adjusted mixing ratio. Also, retrieval accuracy was vapor by identifying the optimum numbers of eigenvectors to use when transforming the water vapor profiles and the satellite brightness temperature, respectively, into their principal components. In our studies three eigenvectors were optimal for representation of water vapor, implying that HIRS-2 data are capable of retrieving at least third-order vertical resolution in water vapor profiles. In addition, we compared principal component-based retrieval with standard multiple regression and found that a hybrid of the two methods gave the greatest retrieval accuracy.
    publisherAmerican Meteorological Society
    titleRetrieval of Water Vapor Profiles via Principal Components: Options and Their Implications
    typeJournal Paper
    journal volume26
    journal issue8
    journal titleJournal of Climate and Applied Meteorology
    identifier doi10.1175/1520-0450(1987)026<1038:ROWVPV>2.0.CO;2
    journal fristpage1038
    journal lastpage1042
    treeJournal of Climate and Applied Meteorology:;1987:;Volume( 026 ):;Issue: 008
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian