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    Real-Time Short-Term Forecasting of Precipitation at an Australian Tropical Station

    Source: Weather and Forecasting:;1988:;volume( 003 ):;issue: 002::page 104
    Author:
    Fraedrich, K.
    ,
    Leslie, L. M.
    DOI: 10.1175/1520-0434(1988)003<0104:RTSTFO>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The results of a major real-time trial of techniques for the short-term (12 h ahead) prediction of precipitation for the Australian tropical city of Darwin are described. The trial compared current operational manual forecasting procedures with a range of alternative techniques including statistical methods, numerical weather prediction (NWP), and model output statistics (MOS) which were developed specifically for the trial. The only technique of those tested which exhibited skill, i.e., consistent superiority over climatology and/or persistence, was a Markov chain model used either individually or in linear combination with other methods. Of particular significance was the relatively poor showing in the tropics of the numerical weather prediction model products, which were worse than both persistence and climatology. The results of this real-time trial should be treated with care because of the small sample size involved.
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      Real-Time Short-Term Forecasting of Precipitation at an Australian Tropical Station

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4161101
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    contributor authorFraedrich, K.
    contributor authorLeslie, L. M.
    date accessioned2017-06-09T14:41:07Z
    date available2017-06-09T14:41:07Z
    date copyright1988/06/01
    date issued1988
    identifier issn0882-8156
    identifier otherams-2443.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4161101
    description abstractThe results of a major real-time trial of techniques for the short-term (12 h ahead) prediction of precipitation for the Australian tropical city of Darwin are described. The trial compared current operational manual forecasting procedures with a range of alternative techniques including statistical methods, numerical weather prediction (NWP), and model output statistics (MOS) which were developed specifically for the trial. The only technique of those tested which exhibited skill, i.e., consistent superiority over climatology and/or persistence, was a Markov chain model used either individually or in linear combination with other methods. Of particular significance was the relatively poor showing in the tropics of the numerical weather prediction model products, which were worse than both persistence and climatology. The results of this real-time trial should be treated with care because of the small sample size involved.
    publisherAmerican Meteorological Society
    titleReal-Time Short-Term Forecasting of Precipitation at an Australian Tropical Station
    typeJournal Paper
    journal volume3
    journal issue2
    journal titleWeather and Forecasting
    identifier doi10.1175/1520-0434(1988)003<0104:RTSTFO>2.0.CO;2
    journal fristpage104
    journal lastpage114
    treeWeather and Forecasting:;1988:;volume( 003 ):;issue: 002
    contenttypeFulltext
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