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    Ensemble Data Assimilation to Characterize Surface-Layer Errors in Numerical Weather Prediction Models 

    Source: Monthly Weather Review:;2012:;volume( 141 ):;issue: 006:;page 1804
    Author(s): Hacker, J. P.; Angevine, W. M.
    Publisher: American Meteorological Society
    Abstract: xperiments with the single-column implementation of the Weather Research and Forecasting Model provide a basis for deducing land?atmosphere coupling errors in the model. Coupling occurs both through heat and moisture fluxes ...
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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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