YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Monthly Weather Review
    • View Item
    •   YE&T Library
    • AMS
    • Monthly Weather Review
    • 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

    Evaluation Criteria on the Design for Assimilating Remote Sensing Data Using Variational Approaches

    Source: Monthly Weather Review:;2017:;volume( 145 ):;issue: 006::page 2165
    Author:
    Lu, Sha
    ,
    Heemink, Arnold
    ,
    Lin, Hai Xiang
    ,
    Segers, Arjo
    ,
    Fu, Guangliang
    DOI: 10.1175/MWR-D-16-0289.1
    Publisher: American Meteorological Society
    Abstract: emote sensing, as a powerful tool for monitoring atmospheric phenomena, has been playing an increasingly important role in inverse modeling. Remote sensing instruments measure quantities that often combine several state variables as one. This creates very strong correlations between the state variables that share the same observation variable. This may cause numerical problems resulting in a low convergence rate or inaccurate estimates in gradient-based variational assimilation if improper error statistics are used. In this paper, two criteria or scoring rules are proposed to quantify the numerical robustness of assimilating a specific set of remote sensing observations and to quantify the reliability of the estimates of the parameters. The criteria are derived by analyzing how the correlations are created via shared observation data and how they may influence the process of variational data assimilation. Experimental tests are conducted and show a good level of agreement with theory. The results illustrate the capability of the criteria to indicate the reliability of the assimilation process. Both criteria can be used with observing system simulation experiments (OSSEs) and in combination with other verification scores.
    • Download: (1012.Kb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Evaluation Criteria on the Design for Assimilating Remote Sensing Data Using Variational Approaches

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4231070
    Collections
    • Monthly Weather Review

    Show full item record

    contributor authorLu, Sha
    contributor authorHeemink, Arnold
    contributor authorLin, Hai Xiang
    contributor authorSegers, Arjo
    contributor authorFu, Guangliang
    date accessioned2017-06-09T17:34:28Z
    date available2017-06-09T17:34:28Z
    date copyright2017/06/01
    date issued2017
    identifier issn0027-0644
    identifier otherams-87404.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231070
    description abstractemote sensing, as a powerful tool for monitoring atmospheric phenomena, has been playing an increasingly important role in inverse modeling. Remote sensing instruments measure quantities that often combine several state variables as one. This creates very strong correlations between the state variables that share the same observation variable. This may cause numerical problems resulting in a low convergence rate or inaccurate estimates in gradient-based variational assimilation if improper error statistics are used. In this paper, two criteria or scoring rules are proposed to quantify the numerical robustness of assimilating a specific set of remote sensing observations and to quantify the reliability of the estimates of the parameters. The criteria are derived by analyzing how the correlations are created via shared observation data and how they may influence the process of variational data assimilation. Experimental tests are conducted and show a good level of agreement with theory. The results illustrate the capability of the criteria to indicate the reliability of the assimilation process. Both criteria can be used with observing system simulation experiments (OSSEs) and in combination with other verification scores.
    publisherAmerican Meteorological Society
    titleEvaluation Criteria on the Design for Assimilating Remote Sensing Data Using Variational Approaches
    typeJournal Paper
    journal volume145
    journal issue6
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-16-0289.1
    journal fristpage2165
    journal lastpage2175
    treeMonthly Weather Review:;2017:;volume( 145 ):;issue: 006
    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