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    Obstacles to High-Dimensional Particle Filtering 

    Source: Monthly Weather Review:;2008:;volume( 136 ):;issue: 012:;page 4629
    Author(s): Snyder, Chris; Bengtsson, Thomas; Bickel, Peter; Anderson, Jeff
    Publisher: American Meteorological Society
    Abstract: Particle filters are ensemble-based assimilation schemes that, unlike the ensemble Kalman filter, employ a fully nonlinear and non-Gaussian analysis step to compute the probability distribution function (pdf) of a system?s ...
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    Model Bias in a Continuously Cycled Assimilation System and Its Influence on Convection-Permitting Forecasts 

    Source: Monthly Weather Review:;2012:;volume( 141 ):;issue: 004:;page 1263
    Author(s): Romine, Glen S.; Schwartz, Craig S.; Snyder, Chris; Anderson, Jeff L.; Weisman, Morris L.
    Publisher: American Meteorological Society
    Abstract: uring the spring 2011 season, a real-time continuously cycled ensemble data assimilation system using the Advanced Research version of the Weather Research and Forecasting Model (WRF) coupled with the Data Assimilation ...
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    Representing Forecast Error in a Convection-Permitting Ensemble System 

    Source: Monthly Weather Review:;2014:;volume( 142 ):;issue: 012:;page 4519
    Author(s): Romine, Glen S.; Schwartz, Craig S.; Berner, Judith; Fossell, Kathryn R.; Snyder, Chris; Anderson, Jeff L.; Weisman, Morris L.
    Publisher: American Meteorological Society
    Abstract: nsembles provide an opportunity to greatly improve short-term prediction of local weather hazards, yet generating reliable predictions remain a significant challenge. In particular, convection-permitting ensemble forecast ...
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    DSpace software copyright © 2002-2015  DuraSpace
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