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    Randomized Subensembles: An Approach to Reduce the Risk of Divergence in an Ensemble Kalman Filter Using Cross Validation 

    Source: Weather and Forecasting:;2022:;volume( 037 ):;issue: 011:;page 2123
    Author(s): Jean-François Caron; Ron McTaggart-Cowan; Mark Buehner; Pieter L. Houtekamer; Ervig Lapalme
    Publisher: American Meteorological Society
    Abstract: In an ensemble Kalman filter, when the analysis update of an ensemble member is computed using error statistics estimated from an ensemble that includes the background of the member being updated, the spread of the resulting ...
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    Using Stochastically Perturbed Parameterizations to Represent Model Uncertainty. Part II: Comparison with Existing Techniques in an Operational Ensemble 

    Source: Monthly Weather Review:;2022:;volume( 150 ):;issue: 011:;page 2859
    Author(s): Ron McTaggart-Cowan; Leo Separovic; Martin Charron; Xingxiu Deng; Normand Gagnon; Pieter L. Houtekamer; Alain Patoine
    Publisher: American Meteorological Society
    Abstract: The ability of a stochastically perturbed parameterization (SPP) approach to represent uncertainties in the model component of the Canadian Global Ensemble Prediction System was demonstrated in Part I of this investigation. ...
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    Using Stochastically Perturbed Parameterizations to Represent Model Uncertainty. Part I: Implementation and Parameter Sensitivity 

    Source: Monthly Weather Review:;2022:;volume( 150 ):;issue: 011:;page 2829
    Author(s): Ron McTaggart-Cowan; Leo Separovic; Rabah Aider; Martin Charron; Michel Desgagné; Pieter L. Houtekamer; Danahé Paquin-Ricard; Paul A. Vaillancourt; Ayrton Zadra
    Publisher: American Meteorological Society
    Abstract: Accurately representing model-based sources of uncertainty is essential for the development of reliable ensemble prediction systems for NWP applications. Uncertainties in discretizations, algorithmic approximations, and ...
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    How to Be a More Effective Author 

    Source: Monthly Weather Review:;2022:;volume( 150 ):;issue: 011:;page 2819
    Author(s): David M. Schultz; Jeffrey Anderson; Tommaso Benacchio; Kristen L. Corbosiero; Matthew D. Eastin; Clark Evans; Jidong Gao; Joshua P. Hacker; Daniel Hodyss; Daryl Kleist; Matthew R. Kumjian; Ron McTaggart-Cowan; Zhiyong Meng; Justin R. Minder; Derek Posselt
    Publisher: American Meteorological Society
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