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    The Effects of Imperfect Spatial and Temporal Sampling on Estimates of the Global Mean Temperature: Experiments with Model Data

    Source: Journal of Climate:;1993:;volume( 006 ):;issue: 006::page 1057
    Author:
    Madden, R. A.
    ,
    Shea, D. J.
    ,
    Branstator, G. W.
    ,
    Tribbia, J. J.
    ,
    Weber, R. O.
    DOI: 10.1175/1520-0442(1993)006<1057:TEOISA>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A long time series of data simulated by the NCAR Community Climate Model is used to empirically determine the effects of imperfect spatial and temporal sampling on estimates of the model's global-mean surface air temperature. Results determined from a simple statistical sampling equation and those determined from a simple Monte Carlo experiment are shown to be reasonably similar to the empirically determined ones. The results provide insights into the spatial sampling problem, and it is proposed that variations of the simple models can be used in studies of real data to arrive at reasonable estimates of error that are directly applicable to the actual global-mean surface temperature.
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      The Effects of Imperfect Spatial and Temporal Sampling on Estimates of the Global Mean Temperature: Experiments with Model Data

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4178746
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    contributor authorMadden, R. A.
    contributor authorShea, D. J.
    contributor authorBranstator, G. W.
    contributor authorTribbia, J. J.
    contributor authorWeber, R. O.
    date accessioned2017-06-09T15:19:06Z
    date available2017-06-09T15:19:06Z
    date copyright1993/06/01
    date issued1993
    identifier issn0894-8755
    identifier otherams-4031.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4178746
    description abstractA long time series of data simulated by the NCAR Community Climate Model is used to empirically determine the effects of imperfect spatial and temporal sampling on estimates of the model's global-mean surface air temperature. Results determined from a simple statistical sampling equation and those determined from a simple Monte Carlo experiment are shown to be reasonably similar to the empirically determined ones. The results provide insights into the spatial sampling problem, and it is proposed that variations of the simple models can be used in studies of real data to arrive at reasonable estimates of error that are directly applicable to the actual global-mean surface temperature.
    publisherAmerican Meteorological Society
    titleThe Effects of Imperfect Spatial and Temporal Sampling on Estimates of the Global Mean Temperature: Experiments with Model Data
    typeJournal Paper
    journal volume6
    journal issue6
    journal titleJournal of Climate
    identifier doi10.1175/1520-0442(1993)006<1057:TEOISA>2.0.CO;2
    journal fristpage1057
    journal lastpage1066
    treeJournal of Climate:;1993:;volume( 006 ):;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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