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    Extending Estimation Accuracy with Anisotropic Interpolation

    Source: Monthly Weather Review:;1977:;volume( 105 ):;issue: 006::page 691
    Author:
    Thiébaux, H. Jean
    DOI: 10.1175/1520-0493(1977)105<0691:EEAWAI>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The possibility of improving point estimates through anisotropic interpolation is investigated. Experiments employing multivariate optimal interpolation compare rms errors for estimates based on an anisotropic geopotential correlation model with those based on three isotropic models and one using station?specific sample correlations. Heights and winds are estimated conjointly for 87 consecutive days, using winter 500 mb data of a 48?station North American network. By varying the array of stations in the observation set contributing to the estimates for a fixed location, measures of accuracy gains are established vis?à?vis observation network density and configuration. Earlier work established the simple isotropic correlation model as a significant source of error in regions of low?density data or irregular station configurations. With the representation of observed correlation behavior provided by a two?dimensional correlation function modeling the well?known anisotropy of the height field, it is shown that gains in accuracy may be substantial. Implications for specification of the shape of optimal influence regions are discussed.
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      Extending Estimation Accuracy with Anisotropic Interpolation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4199647
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    contributor authorThiébaux, H. Jean
    date accessioned2017-06-09T16:01:37Z
    date available2017-06-09T16:01:37Z
    date copyright1977/06/01
    date issued1977
    identifier issn0027-0644
    identifier otherams-59123.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4199647
    description abstractThe possibility of improving point estimates through anisotropic interpolation is investigated. Experiments employing multivariate optimal interpolation compare rms errors for estimates based on an anisotropic geopotential correlation model with those based on three isotropic models and one using station?specific sample correlations. Heights and winds are estimated conjointly for 87 consecutive days, using winter 500 mb data of a 48?station North American network. By varying the array of stations in the observation set contributing to the estimates for a fixed location, measures of accuracy gains are established vis?à?vis observation network density and configuration. Earlier work established the simple isotropic correlation model as a significant source of error in regions of low?density data or irregular station configurations. With the representation of observed correlation behavior provided by a two?dimensional correlation function modeling the well?known anisotropy of the height field, it is shown that gains in accuracy may be substantial. Implications for specification of the shape of optimal influence regions are discussed.
    publisherAmerican Meteorological Society
    titleExtending Estimation Accuracy with Anisotropic Interpolation
    typeJournal Paper
    journal volume105
    journal issue6
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1977)105<0691:EEAWAI>2.0.CO;2
    journal fristpage691
    journal lastpage699
    treeMonthly Weather Review:;1977:;volume( 105 ):;issue: 006
    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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