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    Winter-Season Climate Prediction for the U.K. Health Sector

    Source: Journal of Applied Meteorology and Climatology:;2006:;volume( 045 ):;issue: 012::page 1782
    Author:
    McGregor, G. R.
    ,
    Cox, M.
    ,
    Cui, Y.
    ,
    Cui, Z.
    ,
    Davey, M. K.
    ,
    Graham, R. F.
    ,
    Brookshaw, A.
    DOI: 10.1175/JAM2422.1
    Publisher: American Meteorological Society
    Abstract: The winter climate of the British Isles is characterized by considerable interannual variability, which, because of the general climate sensitivity of a number of health outcomes, places at times considerable pressure on the provision of health services. Seasonal climate forecasts potentially could improve management within the health sector and assist in hedging against the vagaries of climatic variability. For this reason, an exploratory analysis of the potential utility of seasonal climate forecasting for the health sector in the United Kingdom is presented here. Study results revealed that the general level of winter mortality at the monthly to seasonal time scale possesses a strong association with simple descriptors of winter climate such as maximum temperature and the number of days below a given temperature threshold. Because such climate indices can be derived from the output of coupled seasonal climate prediction models, predictions of general levels of mortality may be possible using simple transfer functions that describe winter climate and health associations. Despite the potential one-month-ahead and one-season-ahead predictability of winter mortality levels, the predictability of the key climate indices by coupled climate models is shown to be somewhat limited, which compromises the ability to predict general levels of winter mortality for all months except February.
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      Winter-Season Climate Prediction for the U.K. Health Sector

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4216571
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    contributor authorMcGregor, G. R.
    contributor authorCox, M.
    contributor authorCui, Y.
    contributor authorCui, Z.
    contributor authorDavey, M. K.
    contributor authorGraham, R. F.
    contributor authorBrookshaw, A.
    date accessioned2017-06-09T16:48:02Z
    date available2017-06-09T16:48:02Z
    date copyright2006/12/01
    date issued2006
    identifier issn1558-8424
    identifier otherams-74355.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4216571
    description abstractThe winter climate of the British Isles is characterized by considerable interannual variability, which, because of the general climate sensitivity of a number of health outcomes, places at times considerable pressure on the provision of health services. Seasonal climate forecasts potentially could improve management within the health sector and assist in hedging against the vagaries of climatic variability. For this reason, an exploratory analysis of the potential utility of seasonal climate forecasting for the health sector in the United Kingdom is presented here. Study results revealed that the general level of winter mortality at the monthly to seasonal time scale possesses a strong association with simple descriptors of winter climate such as maximum temperature and the number of days below a given temperature threshold. Because such climate indices can be derived from the output of coupled seasonal climate prediction models, predictions of general levels of mortality may be possible using simple transfer functions that describe winter climate and health associations. Despite the potential one-month-ahead and one-season-ahead predictability of winter mortality levels, the predictability of the key climate indices by coupled climate models is shown to be somewhat limited, which compromises the ability to predict general levels of winter mortality for all months except February.
    publisherAmerican Meteorological Society
    titleWinter-Season Climate Prediction for the U.K. Health Sector
    typeJournal Paper
    journal volume45
    journal issue12
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAM2422.1
    journal fristpage1782
    journal lastpage1792
    treeJournal of Applied Meteorology and Climatology:;2006:;volume( 045 ):;issue: 012
    contenttypeFulltext
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