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    On the Completeness of Multi-Variate Optimum Interpolation for Large-Scale Meteorological Analysis

    Source: Monthly Weather Review:;1982:;volume( 110 ):;issue: 010::page 1329
    Author:
    Phillips, Norman A.
    DOI: 10.1175/1520-0493(1982)110<1329:OTCOMV>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The Baer-Tribbia nonlinear modal initialization method implies that large-scale meteorological analyses should focus on analysis of slow mode fields. An idealized multi-variate optimum interpolation analysis is shown to produce grid point results that contain only slow modes. Variational analysis with a slow mode constraint is therefore unnecessary.
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      On the Completeness of Multi-Variate Optimum Interpolation for Large-Scale Meteorological Analysis

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4200747
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    contributor authorPhillips, Norman A.
    date accessioned2017-06-09T16:03:59Z
    date available2017-06-09T16:03:59Z
    date copyright1982/10/01
    date issued1982
    identifier issn0027-0644
    identifier otherams-60112.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4200747
    description abstractThe Baer-Tribbia nonlinear modal initialization method implies that large-scale meteorological analyses should focus on analysis of slow mode fields. An idealized multi-variate optimum interpolation analysis is shown to produce grid point results that contain only slow modes. Variational analysis with a slow mode constraint is therefore unnecessary.
    publisherAmerican Meteorological Society
    titleOn the Completeness of Multi-Variate Optimum Interpolation for Large-Scale Meteorological Analysis
    typeJournal Paper
    journal volume110
    journal issue10
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1982)110<1329:OTCOMV>2.0.CO;2
    journal fristpage1329
    journal lastpage1334
    treeMonthly Weather Review:;1982:;volume( 110 ):;issue: 010
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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