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    Downscaling and Projection of Winter Extreme Daily Precipitation over North America 

    Source: Journal of Climate:;2008:;volume( 021 ):;issue: 005:;page 923
    Author(s): Wang, Jiafeng; Zhang, Xuebin
    Publisher: American Meteorological Society
    Abstract: Large-scale atmospheric variables have been statistically downscaled to derive winter (December?March) maximum daily precipitation at stations over North America using the generalized extreme value distribution (GEV). Here, ...
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    A Method for Adjoint Variational Data Assimilation with Physical “On–Off” Processes 

    Source: Journal of the Atmospheric Sciences:;2003:;Volume( 060 ):;issue: 016:;page 2010
    Author(s): Mu, Mu; Wang, Jiafeng
    Publisher: American Meteorological Society
    Abstract: Since the accuracy of the tangent linear approximation of moist physics in a mesoscale model is case dependent, the problem related to the variational data assimilation with physical ?on?off? processes is studied further ...
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    The Influence of Large-Scale Climate Variability on Winter Maximum Daily Precipitation over North America 

    Source: Journal of Climate:;2010:;volume( 023 ):;issue: 011:;page 2902
    Author(s): Zhang, Xuebin; Wang, Jiafeng; Zwiers, Francis W.; Groisman, Pavel Ya
    Publisher: American Meteorological Society
    Abstract: The generalized extreme value (GEV) distribution is fitted to winter season daily maximum precipitation over North America, with indices representing El Niño?Southern Oscillation (ENSO), the Pacific decadal oscillation ...
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