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    Relative Merit of Model Improvement versus Availability of Retrospective Forecasts: The Case of Climate Forecast System MJO Prediction

    Source: Weather and Forecasting:;2012:;volume( 027 ):;issue: 004::page 1045
    Author:
    Zhang, Qin
    ,
    van den Dool, Huug
    DOI: 10.1175/WAF-D-11-00133.1
    Publisher: American Meteorological Society
    Abstract: etrospective forecasts of the new NCEP Climate Forecast System (CFS) have been analyzed out to 45 days from 1999 to 2009 with four members (0000, 0600, 1200, and 1800 UTC) each day. The new version of CFS [CFS, version 2 (CFSv2)] shows significant improvement over the older CFS [CFS, version 1 (CFSv1)] in predicting the Madden?Julian oscillation (MJO), with skill reaching 2?3 weeks in comparison with the CFSv1?s skill of nearly 1 week. Diagnostics of experiments related to the MJO forecast show that the systematic error correction, possible only because of the enormous hindcast dataset and the ensemble aspects of the prediction system (4 times a day), do contribute to improved forecasts. But the main reason is the improvement in the model and initial conditions between 1995 and 2010.
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      Relative Merit of Model Improvement versus Availability of Retrospective Forecasts: The Case of Climate Forecast System MJO Prediction

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    contributor authorZhang, Qin
    contributor authorvan den Dool, Huug
    date accessioned2017-06-09T17:35:51Z
    date available2017-06-09T17:35:51Z
    date copyright2012/08/01
    date issued2012
    identifier issn0882-8156
    identifier otherams-87819.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231530
    description abstractetrospective forecasts of the new NCEP Climate Forecast System (CFS) have been analyzed out to 45 days from 1999 to 2009 with four members (0000, 0600, 1200, and 1800 UTC) each day. The new version of CFS [CFS, version 2 (CFSv2)] shows significant improvement over the older CFS [CFS, version 1 (CFSv1)] in predicting the Madden?Julian oscillation (MJO), with skill reaching 2?3 weeks in comparison with the CFSv1?s skill of nearly 1 week. Diagnostics of experiments related to the MJO forecast show that the systematic error correction, possible only because of the enormous hindcast dataset and the ensemble aspects of the prediction system (4 times a day), do contribute to improved forecasts. But the main reason is the improvement in the model and initial conditions between 1995 and 2010.
    publisherAmerican Meteorological Society
    titleRelative Merit of Model Improvement versus Availability of Retrospective Forecasts: The Case of Climate Forecast System MJO Prediction
    typeJournal Paper
    journal volume27
    journal issue4
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-11-00133.1
    journal fristpage1045
    journal lastpage1051
    treeWeather and Forecasting:;2012:;volume( 027 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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