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    Systematic Model Error: The Impact of Increased Horizontal Resolution versus Improved Stochastic and Deterministic Parameterizations 

    Source: Journal of Climate:;2012:;volume( 025 ):;issue: 014:;page 4946
    Author(s): Berner, J.; Jung, T.; Palmer, T. N.
    Publisher: American Meteorological Society
    Abstract: ong-standing systematic model errors in both tropics and extratropics of the ECMWF model run at a horizontal resolution typical for climate models are investigated. Based on the hypothesis that the misrepresentation of ...
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    The Value of Initialization on Decadal Timescales: State-Dependent Predictability in the CESM Decadal Prediction Large Ensemble 

    Source: Journal of Climate:;2020:;volume( 33 ):;issue: 017:;page 7353
    Author(s): Christensen, H. M.;Berner, J.;Yeager, S.
    Publisher: American Meteorological Society
    Abstract: Information in decadal climate prediction arises from a well-initialized ocean state and from the predicted response to an external forcing. The length of time over which the initial conditions benefit the decadal forecast ...
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    A Spectral Stochastic Kinetic Energy Backscatter Scheme and Its Impact on Flow-Dependent Predictability in the ECMWF Ensemble Prediction System 

    Source: Journal of the Atmospheric Sciences:;2009:;Volume( 066 ):;issue: 003:;page 603
    Author(s): Berner, J.; Shutts, G. J.; Leutbecher, M.; Palmer, T. N.
    Publisher: American Meteorological Society
    Abstract: Understanding model error in state-of-the-art numerical weather prediction models and representing its impact on flow-dependent predictability remains a complex and mostly unsolved problem. Here, a spectral stochastic ...
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    Increasing the Skill of Probabilistic Forecasts: Understanding Performance Improvements from Model-Error Representations 

    Source: Monthly Weather Review:;2015:;volume( 143 ):;issue: 004:;page 1295
    Author(s): Berner, J.; Fossell, K. R.; Ha, S.-Y.; Hacker, J. P.; Snyder, C.
    Publisher: American Meteorological Society
    Abstract: our model-error schemes for probabilistic forecasts over the contiguous United States with the WRF-ARW mesoscale ensemble system are evaluated in regard to performance. Including a model-error representation leads to ...
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    Model Uncertainty in a Mesoscale Ensemble Prediction System: Stochastic versus Multiphysics Representations 

    Source: Monthly Weather Review:;2010:;volume( 139 ):;issue: 006:;page 1972
    Author(s): Berner, J.; Ha, S.-Y.; Hacker, J. P.; Fournier, A.; Snyder, C.
    Publisher: American Meteorological Society
    Abstract: multiphysics and a stochastic kinetic-energy backscatter scheme are employed to represent model uncertainty in a mesoscale ensemble prediction system using the Weather Research and Forecasting model. Both model-error schemes ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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