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    What Is the Predictability Limit of Midlatitude Weather?

    Source: Journal of the Atmospheric Sciences:;2019:;volume 076:;issue 004::page 1077
    Author:
    Zhang, Fuqing
    ,
    Sun, Y. Qiang
    ,
    Magnusson, Linus
    ,
    Buizza, Roberto
    ,
    Lin, Shian-Jiann
    ,
    Chen, Jan-Huey
    ,
    Emanuel, Kerry
    DOI: 10.1175/JAS-D-18-0269.1
    Publisher: American Meteorological Society
    Abstract: AbstractUnderstanding the predictability limit of day-to-day weather phenomena such as midlatitude winter storms and summer monsoonal rainstorms is crucial to numerical weather prediction (NWP). This predictability limit is studied using unprecedented high-resolution global models with ensemble experiments of the European Centre for Medium-Range Weather Forecasts (ECMWF; 9-km operational model) and identical-twin experiments of the U.S. Next-Generation Global Prediction System (NGGPS; 3 km). Results suggest that the predictability limit for midlatitude weather may indeed exist and is intrinsic to the underlying dynamical system and instabilities even if the forecast model and the initial conditions are nearly perfect. Currently, a skillful forecast lead time of midlatitude instantaneous weather is around 10 days, which serves as the practical predictability limit. Reducing the current-day initial-condition uncertainty by an order of magnitude extends the deterministic forecast lead times of day-to-day weather by up to 5 days, with much less scope for improving prediction of small-scale phenomena like thunderstorms. Achieving this additional predictability limit can have enormous socioeconomic benefits but requires coordinated efforts by the entire community to design better numerical weather models, to improve observations, and to make better use of observations with advanced data assimilation and computing techniques.
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      What Is the Predictability Limit of Midlatitude Weather?

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4263639
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    contributor authorZhang, Fuqing
    contributor authorSun, Y. Qiang
    contributor authorMagnusson, Linus
    contributor authorBuizza, Roberto
    contributor authorLin, Shian-Jiann
    contributor authorChen, Jan-Huey
    contributor authorEmanuel, Kerry
    date accessioned2019-10-05T06:51:26Z
    date available2019-10-05T06:51:26Z
    date copyright1/15/2019 12:00:00 AM
    date issued2019
    identifier otherJAS-D-18-0269.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263639
    description abstractAbstractUnderstanding the predictability limit of day-to-day weather phenomena such as midlatitude winter storms and summer monsoonal rainstorms is crucial to numerical weather prediction (NWP). This predictability limit is studied using unprecedented high-resolution global models with ensemble experiments of the European Centre for Medium-Range Weather Forecasts (ECMWF; 9-km operational model) and identical-twin experiments of the U.S. Next-Generation Global Prediction System (NGGPS; 3 km). Results suggest that the predictability limit for midlatitude weather may indeed exist and is intrinsic to the underlying dynamical system and instabilities even if the forecast model and the initial conditions are nearly perfect. Currently, a skillful forecast lead time of midlatitude instantaneous weather is around 10 days, which serves as the practical predictability limit. Reducing the current-day initial-condition uncertainty by an order of magnitude extends the deterministic forecast lead times of day-to-day weather by up to 5 days, with much less scope for improving prediction of small-scale phenomena like thunderstorms. Achieving this additional predictability limit can have enormous socioeconomic benefits but requires coordinated efforts by the entire community to design better numerical weather models, to improve observations, and to make better use of observations with advanced data assimilation and computing techniques.
    publisherAmerican Meteorological Society
    titleWhat Is the Predictability Limit of Midlatitude Weather?
    typeJournal Paper
    journal volume76
    journal issue4
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/JAS-D-18-0269.1
    journal fristpage1077
    journal lastpage1091
    treeJournal of the Atmospheric Sciences:;2019:;volume 076:;issue 004
    contenttypeFulltext
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