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    Structure and Simulation of the Random Analysis Error of 500 mb Geopotential Heights

    Source: Monthly Weather Review:;1984:;volume( 112 ):;issue: 010::page 2060
    Author:
    Rinne, Juhani
    ,
    Järvenoja, Simo
    DOI: 10.1175/1520-0493(1984)112<2060:SASOTR>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The structure of the analysis error field of the 500 mb height north of 20°N was estimated from the differences between analyses issued by two different centers. The resulting variance field is very similar to that computed with the aid of the optimum interpolation. The leading empirical orthogonal functions of the analysis error show large cells over areas with a sparse observational network. Artificial analysis error fields are constructed with the aid of empirical orthogonal functions. The structure of these fields is the same as that derived from the analyses. The model results indicate that the perturbation fields can be produced without correlating them with previous analyses or forecasts. The smoothing of the analyses contributes rather much to the forecasting error and should therefore be simulated. The model results, however, are valid only if the forecasting error can be measured with the root-mean-square error.
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      Structure and Simulation of the Random Analysis Error of 500 mb Geopotential Heights

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4201210
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    • Monthly Weather Review

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    contributor authorRinne, Juhani
    contributor authorJärvenoja, Simo
    date accessioned2017-06-09T16:05:03Z
    date available2017-06-09T16:05:03Z
    date copyright1984/10/01
    date issued1984
    identifier issn0027-0644
    identifier otherams-60530.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4201210
    description abstractThe structure of the analysis error field of the 500 mb height north of 20°N was estimated from the differences between analyses issued by two different centers. The resulting variance field is very similar to that computed with the aid of the optimum interpolation. The leading empirical orthogonal functions of the analysis error show large cells over areas with a sparse observational network. Artificial analysis error fields are constructed with the aid of empirical orthogonal functions. The structure of these fields is the same as that derived from the analyses. The model results indicate that the perturbation fields can be produced without correlating them with previous analyses or forecasts. The smoothing of the analyses contributes rather much to the forecasting error and should therefore be simulated. The model results, however, are valid only if the forecasting error can be measured with the root-mean-square error.
    publisherAmerican Meteorological Society
    titleStructure and Simulation of the Random Analysis Error of 500 mb Geopotential Heights
    typeJournal Paper
    journal volume112
    journal issue10
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1984)112<2060:SASOTR>2.0.CO;2
    journal fristpage2060
    journal lastpage2068
    treeMonthly Weather Review:;1984:;volume( 112 ):;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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