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    A Wavelet-Based Reduced Rank Kalman Filter for Assimilation of Stratospheric Chemical Tracer Observations

    Source: Monthly Weather Review:;2004:;volume( 132 ):;issue: 005::page 1220
    Author:
    Auger, Ludovic
    ,
    Tangborn, Andrew V.
    DOI: 10.1175/1520-0493(2004)132<1220:AWRRKF>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A suboptimal Kalman filter system that evolves error covariances in terms of a truncated set of wavelet coefficients has been developed for the assimilation of chemical tracer observations of CH4. The truncation is carried out in such a way that the resolution of the error covariance is reduced only in the zonal direction, where gradients are smaller. Assimilation experiments, which lasted 24 days and used different degrees of truncation, were carried out. These experiments reduced the number of elements in the covariance matrix by 90%, 97%, and 99% and the computational cost of covariance propagation by 80%, 93%, and 96%, respectively. The difference in both error covariance and the tracer field between the truncated and full systems over this period was not found to be growing after about 5 days of assimilation. The largest errors in the tracer fields were found to occur in regions of largest zonal gradients at times when observations were made in the immediate vicinity.
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      A Wavelet-Based Reduced Rank Kalman Filter for Assimilation of Stratospheric Chemical Tracer Observations

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4205369
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    contributor authorAuger, Ludovic
    contributor authorTangborn, Andrew V.
    date accessioned2017-06-09T16:15:23Z
    date available2017-06-09T16:15:23Z
    date copyright2004/05/01
    date issued2004
    identifier issn0027-0644
    identifier otherams-64273.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4205369
    description abstractA suboptimal Kalman filter system that evolves error covariances in terms of a truncated set of wavelet coefficients has been developed for the assimilation of chemical tracer observations of CH4. The truncation is carried out in such a way that the resolution of the error covariance is reduced only in the zonal direction, where gradients are smaller. Assimilation experiments, which lasted 24 days and used different degrees of truncation, were carried out. These experiments reduced the number of elements in the covariance matrix by 90%, 97%, and 99% and the computational cost of covariance propagation by 80%, 93%, and 96%, respectively. The difference in both error covariance and the tracer field between the truncated and full systems over this period was not found to be growing after about 5 days of assimilation. The largest errors in the tracer fields were found to occur in regions of largest zonal gradients at times when observations were made in the immediate vicinity.
    publisherAmerican Meteorological Society
    titleA Wavelet-Based Reduced Rank Kalman Filter for Assimilation of Stratospheric Chemical Tracer Observations
    typeJournal Paper
    journal volume132
    journal issue5
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(2004)132<1220:AWRRKF>2.0.CO;2
    journal fristpage1220
    journal lastpage1237
    treeMonthly Weather Review:;2004:;volume( 132 ):;issue: 005
    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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