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    CORRIGENDUM 

    Source: Monthly Weather Review:;2014:;volume( 142 ):;issue: 007:;page 2561
    Author(s): Abaza, Mabrouk; Anctil, François; Fortin, Vincent; Turcotte, Richard
    Publisher: American Meteorological Society
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    A Comparison of the Canadian Global and Regional Meteorological Ensemble Prediction Systems for Short-Term Hydrological Forecasting 

    Source: Monthly Weather Review:;2013:;volume( 141 ):;issue: 010:;page 3462
    Author(s): Abaza, Mabrouk; Anctil, François; Fortin, Vincent; Turcotte, Richard
    Publisher: American Meteorological Society
    Abstract: eteorological ensemble prediction systems (M-EPS) are generally set up at lower resolution than for their deterministic counterparts. Operational hydrologists are thus more prone to selecting deterministic meteorological ...
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    Validation and Use of a Semidistributed Hydrological Modeling System to Predict Short-Term Effects of Clear-Cutting on a Watershed Hydrological Regime 

    Source: Earth Interactions:;2004:;volume( 008 ):;issue: 003:;page 1
    Author(s): Lavigne, Martin-Pierre; Rousseau, Alain N.; Turcotte, Richard; Laroche, Anne-Marie; Fortin, Jean-Pierre; Villeneuve, Jean-Pierre
    Publisher: American Meteorological Society
    Abstract: The Gestion Intégrée des Bassins versants à l'aide d'un Système Informatisé (GIBSI), a semidistributed hydrological modeling system, was evaluated for its ability to simulate the impact of deforestation on the hydrological ...
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    The ClimEx Project: A 50-Member Ensemble of Climate Change Projections at 12-km Resolution over Europe and Northeastern North America with the Canadian Regional Climate Model (CRCM5) 

    Source: Journal of Applied Meteorology and Climatology:;2019:;volume 058:;issue 004:;page 663
    Author(s): Leduc, Martin; Mailhot, Alain; Frigon, Anne; Martel, Jean-Luc; Ludwig, Ralf; Brietzke, Gilbert B.; Giguère, Michel; Brissette, François; Turcotte, Richard; Braun, Marco; Scinocca, John
    Publisher: American Meteorological Society
    Abstract: AbstractThe Canadian Regional Climate Model (CRCM5) Large Ensemble (CRCM5-LE) consists of a dynamically downscaled version of the CanESM2 50-member initial-conditions ensemble (CanESM2-LE). The downscaling was performed ...
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