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    Linking Nonlinearity and Non-Gaussianity of Planetary Wave Behavior by the Fokker–Planck Equation 

    Source: Journal of the Atmospheric Sciences:;2005:;Volume( 062 ):;issue: 007:;page 2098
    Author(s): Berner, Judith
    Publisher: American Meteorological Society
    Abstract: To link prominent nonlinearities in the dynamics of 500-hPa geopotential heights to non-Gaussian features in their probability density, a nonlinear stochastic model of atmospheric planetary wave behavior is developed. An ...
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    Linear and Nonlinear Signatures in the Planetary Wave Dynamics of an AGCM: Phase Space Tendencies 

    Source: Journal of the Atmospheric Sciences:;2005:;Volume( 062 ):;issue: 006:;page 1792
    Author(s): Branstator, Grant; Berner, Judith
    Publisher: American Meteorological Society
    Abstract: To identify and quantify indications of linear and nonlinear planetary wave behavior, characteristics of a very long integration of an atmospheric general circulation model in a four-dimensional phase space are examined. ...
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    Linear and Nonlinear Signatures in the Planetary Wave Dynamics of an AGCM: Probability Density Functions 

    Source: Journal of the Atmospheric Sciences:;2007:;Volume( 064 ):;issue: 001:;page 117
    Author(s): Berner, Judith; Branstator, Grant
    Publisher: American Meteorological Society
    Abstract: To identify and quantify indications of linear and nonlinear planetary wave behavior and their impact on the distribution of atmospheric states, characteristics of a very long integration of an atmospheric general circulation ...
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    A Comparison of Model Error Representations in Mesoscale Ensemble Data Assimilation 

    Source: Monthly Weather Review:;2015:;volume( 143 ):;issue: 010:;page 3893
    Author(s): Ha, Soyoung; Berner, Judith; Snyder, Chris
    Publisher: American Meteorological Society
    Abstract: esoscale forecasts are strongly influenced by physical processes that are either poorly resolved or must be parameterized in numerical models. In part because of errors in these parameterizations, mesoscale ensemble data ...
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    Diagnosing Model Errors from Time-Averaged Tendencies in the Weather Research and Forecasting (WRF) Model 

    Source: Monthly Weather Review:;2015:;volume( 144 ):;issue: 002:;page 759
    Author(s): Cavallo, Steven M.; Berner, Judith; Snyder, Chris
    Publisher: American Meteorological Society
    Abstract: ccurate predictions in numerical weather models depend on the ability to accurately represent physical processes across a wide range of scales. This paper evaluates the utility of model time tendencies, averaged over many ...
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    On the Dynamical Mechanisms Governing El Niño–Southern Oscillation Irregularity 

    Source: Journal of Climate:;2018:;volume 031:;issue 020:;page 8401
    Author(s): Berner, Judith; Sardeshmukh, Prashant D.; Christensen, Hannah M.
    Publisher: American Meteorological Society
    Abstract: AbstractThis study investigates the mechanisms by which short time-scale perturbations to atmospheric processes can affect El Niño?Southern Oscillation (ENSO) in climate models. To this end a control simulation of NCAR?s ...
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    Classification of Warm-Season Precipitation in High-Resolution Rapid Refresh (HRRR) Model Forecasts over the Contiguous United States 

    Source: Monthly Weather Review:;2024:;volume( 152 ):;issue: 001:;page 187
    Author(s): Chen, I-Han; Berner, Judith; Keil, Christian; Kuo, Ying-Hwa; Craig, George
    Publisher: American Meteorological Society
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    Impact of a Stochastic Kinetic Energy Backscatter Scheme on Warm Season Convection-Allowing Ensemble Forecasts 

    Source: Monthly Weather Review:;2015:;volume( 144 ):;issue: 005:;page 1887
    Author(s): Duda, Jeffrey D.; Wang, Xuguang; Kong, Fanyou; Xue, Ming; Berner, Judith
    Publisher: American Meteorological Society
    Abstract: he efficacy of a stochastic kinetic energy backscatter (SKEB) scheme to improve convection-allowing probabilistic forecasts was studied. While SKEB has been explored for coarse, convection-parameterizing models, studies ...
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    Stochastic Parameterization and El Niño–Southern Oscillation 

    Source: Journal of Climate:;2016:;volume( 030 ):;issue: 001:;page 17
    Author(s): Christensen, H. M.; Berner, Judith; Coleman, Danielle R. B.; Palmer, T. N.
    Publisher: American Meteorological Society
    Abstract: l Niño?Southern Oscillation (ENSO) is the dominant mode of interannual variability in the tropical Pacific. However, the models in the ensemble from phase 5 of the Coupled Model Intercomparison Project (CMIP5) have large ...
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    Temperature Extremes in the Community Atmosphere Model with Stochastic Parameterizations 

    Source: Journal of Climate:;2015:;volume( 029 ):;issue: 001:;page 241
    Author(s): Tagle, Felipe; Berner, Judith; Grigoriu, Mircea D.; Mahowald, Natalie M.; Samorodnitsky, Gennady
    Publisher: American Meteorological Society
    Abstract: his paper evaluates the performance of the NCAR Community Atmosphere Model, version 4 (CAM4), in simulating observed annual extremes of near-surface temperature and provides the first assessment of the impact of stochastic ...
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