YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Journal of Climate
    • View Item
    •   YE&T Library
    • AMS
    • Journal of Climate
    • 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

    Can a Regional Climate Model Improve the Ability to Forecast the North American Monsoon?

    Source: Journal of Climate:;2012:;volume( 025 ):;issue: 023::page 8212
    Author:
    Castro, Christopher L.
    ,
    Chang, Hsin-I
    ,
    Dominguez, Francina
    ,
    Carrillo, Carlos
    ,
    Schemm, Jae-Kyung
    ,
    Henry Juang, Hann-Ming
    DOI: 10.1175/JCLI-D-11-00441.1
    Publisher: American Meteorological Society
    Abstract: lobal climate models are challenged to represent the North American monsoon, in terms of its climatology and interannual variability. To investigate whether a regional atmospheric model can improve warm season forecasts in North America, a retrospective Climate Forecast System (CFS) model reforecast (1982?2000) and the corresponding NCEP?NCAR reanalysis are dynamically downscaled with the Weather Research and Forecasting model (WRF), with similar parameterization options as used for high-resolution numerical weather prediction and a new spectral nudging capability. The regional model improves the climatological representation of monsoon precipitation because of its more realistic representation of the diurnal cycle of convection. However, it is challenged to capture organized, propagating convection at a distance from terrain, regardless of the boundary forcing data used. Dynamical downscaling of CFS generally yields modest improvement in surface temperature and precipitation anomaly correlations in those regions where it is already positive in the global model. For the North American monsoon region, WRF adds value to the seasonally forecast temperature only in early summer and does not add value to the seasonally forecast precipitation. CFS has a greater ability to represent the large-scale atmospheric circulation in early summer because of the influence of Pacific SST forcing. The temperature and precipitation anomaly correlations in both the global and regional model are thus relatively higher in early summer than late summer. As the dominant modes of early warm season precipitation are better represented in the regional model, given reasonable large-scale atmospheric forcing, dynamical downscaling will add value to warm season seasonal forecasts. CFS performance appears to be inconsistent in this regard.
    • Download: (10.53Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Can a Regional Climate Model Improve the Ability to Forecast the North American Monsoon?

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4221871
    Collections
    • Journal of Climate

    Show full item record

    contributor authorCastro, Christopher L.
    contributor authorChang, Hsin-I
    contributor authorDominguez, Francina
    contributor authorCarrillo, Carlos
    contributor authorSchemm, Jae-Kyung
    contributor authorHenry Juang, Hann-Ming
    date accessioned2017-06-09T17:05:03Z
    date available2017-06-09T17:05:03Z
    date copyright2012/12/01
    date issued2012
    identifier issn0894-8755
    identifier otherams-79125.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4221871
    description abstractlobal climate models are challenged to represent the North American monsoon, in terms of its climatology and interannual variability. To investigate whether a regional atmospheric model can improve warm season forecasts in North America, a retrospective Climate Forecast System (CFS) model reforecast (1982?2000) and the corresponding NCEP?NCAR reanalysis are dynamically downscaled with the Weather Research and Forecasting model (WRF), with similar parameterization options as used for high-resolution numerical weather prediction and a new spectral nudging capability. The regional model improves the climatological representation of monsoon precipitation because of its more realistic representation of the diurnal cycle of convection. However, it is challenged to capture organized, propagating convection at a distance from terrain, regardless of the boundary forcing data used. Dynamical downscaling of CFS generally yields modest improvement in surface temperature and precipitation anomaly correlations in those regions where it is already positive in the global model. For the North American monsoon region, WRF adds value to the seasonally forecast temperature only in early summer and does not add value to the seasonally forecast precipitation. CFS has a greater ability to represent the large-scale atmospheric circulation in early summer because of the influence of Pacific SST forcing. The temperature and precipitation anomaly correlations in both the global and regional model are thus relatively higher in early summer than late summer. As the dominant modes of early warm season precipitation are better represented in the regional model, given reasonable large-scale atmospheric forcing, dynamical downscaling will add value to warm season seasonal forecasts. CFS performance appears to be inconsistent in this regard.
    publisherAmerican Meteorological Society
    titleCan a Regional Climate Model Improve the Ability to Forecast the North American Monsoon?
    typeJournal Paper
    journal volume25
    journal issue23
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-11-00441.1
    journal fristpage8212
    journal lastpage8237
    treeJournal of Climate:;2012:;volume( 025 ):;issue: 023
    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