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    Error Growth in a Large Numerical Forecast System

    Source: Monthly Weather Review:;1995:;volume( 123 ):;issue: 001::page 212
    Author:
    Savijarvi, Hannu
    DOI: 10.1175/1520-0493(1995)123<0212:EGIALN>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Internal and external z500 global total rms errors followed quadratic growth laws quite well in NMC Medium-Range Forecast (MRF) Model 0?10-day forecasts for 1988?93. Growth parameters and model and analysis errors for many winter were estimated using the quadratic rms error growth assumption. Both the MRF model error and analysis error have nearly halved during 1988?93. But at the same time the growth parameters have nearly doubled: smaller errors grow faster. Thus while the limit of deterministic predictability (rms error 71% of saturation) has been going up, the limit of dynamic predictability (rms error 97.5% of saturation) seems to be set at around 20 days in large horizontal scales, dropping to 6?7 days in small scales.
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      Error Growth in a Large Numerical Forecast System

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    contributor authorSavijarvi, Hannu
    date accessioned2017-06-09T16:10:16Z
    date available2017-06-09T16:10:16Z
    date copyright1995/01/01
    date issued1995
    identifier issn0027-0644
    identifier otherams-62515.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4203416
    description abstractInternal and external z500 global total rms errors followed quadratic growth laws quite well in NMC Medium-Range Forecast (MRF) Model 0?10-day forecasts for 1988?93. Growth parameters and model and analysis errors for many winter were estimated using the quadratic rms error growth assumption. Both the MRF model error and analysis error have nearly halved during 1988?93. But at the same time the growth parameters have nearly doubled: smaller errors grow faster. Thus while the limit of deterministic predictability (rms error 71% of saturation) has been going up, the limit of dynamic predictability (rms error 97.5% of saturation) seems to be set at around 20 days in large horizontal scales, dropping to 6?7 days in small scales.
    publisherAmerican Meteorological Society
    titleError Growth in a Large Numerical Forecast System
    typeJournal Paper
    journal volume123
    journal issue1
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1995)123<0212:EGIALN>2.0.CO;2
    journal fristpage212
    journal lastpage221
    treeMonthly Weather Review:;1995:;volume( 123 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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