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    Covariance Inflation in the Ensemble Kalman Filter: A Residual Nudging Perspective and Some Implications

    Source: Monthly Weather Review:;2013:;volume( 141 ):;issue: 010::page 3360
    Author:
    Luo, Xiaodong
    ,
    Hoteit, Ibrahim
    DOI: 10.1175/MWR-D-13-00067.1
    Publisher: American Meteorological Society
    Abstract: his article examines the influence of covariance inflation on the distance between the measured observation and the simulated (or predicted) observation with respect to the state estimate. In order for the aforementioned distance to be bounded in a certain interval, some sufficient conditions are derived, indicating that the covariance inflation factor should be bounded in a certain interval, and that the inflation bounds are related to the maximum and minimum eigenvalues of certain matrices. Implications of these analytic results are discussed, and a numerical experiment is presented to verify the validity of the analysis conducted.
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      Covariance Inflation in the Ensemble Kalman Filter: A Residual Nudging Perspective and Some Implications

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4230169
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    contributor authorLuo, Xiaodong
    contributor authorHoteit, Ibrahim
    date accessioned2017-06-09T17:31:06Z
    date available2017-06-09T17:31:06Z
    date copyright2013/10/01
    date issued2013
    identifier issn0027-0644
    identifier otherams-86594.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4230169
    description abstracthis article examines the influence of covariance inflation on the distance between the measured observation and the simulated (or predicted) observation with respect to the state estimate. In order for the aforementioned distance to be bounded in a certain interval, some sufficient conditions are derived, indicating that the covariance inflation factor should be bounded in a certain interval, and that the inflation bounds are related to the maximum and minimum eigenvalues of certain matrices. Implications of these analytic results are discussed, and a numerical experiment is presented to verify the validity of the analysis conducted.
    publisherAmerican Meteorological Society
    titleCovariance Inflation in the Ensemble Kalman Filter: A Residual Nudging Perspective and Some Implications
    typeJournal Paper
    journal volume141
    journal issue10
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-13-00067.1
    journal fristpage3360
    journal lastpage3368
    treeMonthly Weather Review:;2013:;volume( 141 ):;issue: 010
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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