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    Source: Weather and Forecasting:;2017:;volume( 032 ):;issue: 005::page 2005
    Author:
    Han, Jongil;Wang, Weiguo;Kwon, Young C.;Hong, Song-You;Tallapragada, Vijay;Yang, Fanglin
    DOI: 10.1175/WAF-D-17-0046.1
    Publisher: American Meteorological Society
    Abstract: AbstractThe current operational NCEP Global Forecast System (GFS) cumulus convection schemes are updated with a scale-aware parameterization where the cloud mass flux decreases with increasing grid resolution. The ratio of advective time to convective turnover time is also taken into account for the scale-aware parameterization. In addition, the present deep cumulus convection closure using the quasi-equilibrium assumption is no longer used for grid sizes smaller than a threshold value. For the shallow cumulus convection scheme, the cloud-base mass flux is modified to be given by a function of mean updraft velocity. A simple aerosol-aware parameterization where rain conversion in the convective updraft is modified by aerosol number concentration is also included in the update. Along with the scale- and aerosol-aware parameterizations, more changes are made to the schemes. The cloud-base mass-flux computation in the deep convection scheme is modified to use convective turnover time as the convective adjustment time scale. The rain conversion rate is modified to decrease with decreasing air temperature above the freezing level. Convective inhibition in the subcloud layer is used as an additional trigger condition. Convective cloudiness is enhanced by considering suspended cloud condensate in the updraft. The lateral entrainment in the deep convection scheme is also enhanced to more strongly suppress convection in a drier environment. The updated NCEP GFS cumulus convection schemes display significant improvements especially in the summertime continental U.S. precipitation forecasts.
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    contributor authorHan, Jongil;Wang, Weiguo;Kwon, Young C.;Hong, Song-You;Tallapragada, Vijay;Yang, Fanglin
    date accessioned2018-01-03T11:03:21Z
    date available2018-01-03T11:03:21Z
    date copyright8/31/2017 12:00:00 AM
    date issued2017
    identifier otherwaf-d-17-0046.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4246658
    description abstractAbstractThe current operational NCEP Global Forecast System (GFS) cumulus convection schemes are updated with a scale-aware parameterization where the cloud mass flux decreases with increasing grid resolution. The ratio of advective time to convective turnover time is also taken into account for the scale-aware parameterization. In addition, the present deep cumulus convection closure using the quasi-equilibrium assumption is no longer used for grid sizes smaller than a threshold value. For the shallow cumulus convection scheme, the cloud-base mass flux is modified to be given by a function of mean updraft velocity. A simple aerosol-aware parameterization where rain conversion in the convective updraft is modified by aerosol number concentration is also included in the update. Along with the scale- and aerosol-aware parameterizations, more changes are made to the schemes. The cloud-base mass-flux computation in the deep convection scheme is modified to use convective turnover time as the convective adjustment time scale. The rain conversion rate is modified to decrease with decreasing air temperature above the freezing level. Convective inhibition in the subcloud layer is used as an additional trigger condition. Convective cloudiness is enhanced by considering suspended cloud condensate in the updraft. The lateral entrainment in the deep convection scheme is also enhanced to more strongly suppress convection in a drier environment. The updated NCEP GFS cumulus convection schemes display significant improvements especially in the summertime continental U.S. precipitation forecasts.
    publisherAmerican Meteorological Society
    typeJournal Paper
    journal volume32
    journal issue5
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-17-0046.1
    journal fristpage2005
    journal lastpage2017
    treeWeather and Forecasting:;2017:;volume( 032 ):;issue: 005
    contenttypeFulltext
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