YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Monthly Weather Review
    • View Item
    •   YE&T Library
    • AMS
    • Monthly Weather Review
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Impact of Stochastic Physics in a Convection-Permitting Ensemble

    Source: Monthly Weather Review:;2012:;volume( 140 ):;issue: 011::page 3706
    Author:
    Bouttier, François
    ,
    Vié, Benoît
    ,
    Nuissier, Olivier
    ,
    Raynaud, Laure
    DOI: 10.1175/MWR-D-12-00031.1
    Publisher: American Meteorological Society
    Abstract: stochastic physics scheme is tested in the Application of Research to Operations at Mesoscale (AROME) short-range convection-permitting ensemble prediction system. It is an adaptation of ECMWF?s stochastic perturbation of physics tendencies (SPPT) scheme. The probabilistic performance of the AROME model ensemble is found to be significantly improved, when verified against observations over two 2-week periods. The main improvement lies in the ensemble reliability and the spread?skill consistency. Probabilistic scores for several weather parameters are improved. The tendency perturbations have zero mean, but the stochastic perturbations have systematic effects on the model output, which explains much of the score improvement. Ensemble spread is an increasing function of the SPPT space and time correlations. A case study reveals that stochastic physics do not simply increase ensemble spread, they also tend to smooth out high-spread areas over wider geographical areas. Although the ensemble design lacks surface perturbations, there is a significant end impact of SPPT on low-level fields through physical interactions in the atmospheric model.
    • Download: (1.805Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Impact of Stochastic Physics in a Convection-Permitting Ensemble

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4229881
    Collections
    • Monthly Weather Review

    Show full item record

    contributor authorBouttier, François
    contributor authorVié, Benoît
    contributor authorNuissier, Olivier
    contributor authorRaynaud, Laure
    date accessioned2017-06-09T17:30:04Z
    date available2017-06-09T17:30:04Z
    date copyright2012/11/01
    date issued2012
    identifier issn0027-0644
    identifier otherams-86334.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4229881
    description abstractstochastic physics scheme is tested in the Application of Research to Operations at Mesoscale (AROME) short-range convection-permitting ensemble prediction system. It is an adaptation of ECMWF?s stochastic perturbation of physics tendencies (SPPT) scheme. The probabilistic performance of the AROME model ensemble is found to be significantly improved, when verified against observations over two 2-week periods. The main improvement lies in the ensemble reliability and the spread?skill consistency. Probabilistic scores for several weather parameters are improved. The tendency perturbations have zero mean, but the stochastic perturbations have systematic effects on the model output, which explains much of the score improvement. Ensemble spread is an increasing function of the SPPT space and time correlations. A case study reveals that stochastic physics do not simply increase ensemble spread, they also tend to smooth out high-spread areas over wider geographical areas. Although the ensemble design lacks surface perturbations, there is a significant end impact of SPPT on low-level fields through physical interactions in the atmospheric model.
    publisherAmerican Meteorological Society
    titleImpact of Stochastic Physics in a Convection-Permitting Ensemble
    typeJournal Paper
    journal volume140
    journal issue11
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-12-00031.1
    journal fristpage3706
    journal lastpage3721
    treeMonthly Weather Review:;2012:;volume( 140 ):;issue: 011
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian