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    Postprocessing of Ensemble Weather Forecasts Using a Stochastic Weather Generator 

    Source: Monthly Weather Review:;2013:;volume( 142 ):;issue: 003:;page 1106
    Author(s): Chen, Jie; Brissette, François P.; Li, Zhi
    Publisher: American Meteorological Society
    Abstract: his study proposes a new statistical method for postprocessing ensemble weather forecasts using a stochastic weather generator. Key parameters of the weather generator were linked to the ensemble forecast means for both ...
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    Large-Scale Analysis of Global Gridded Precipitation and Temperature Datasets for Climate Change Impact Studies 

    Source: Journal of Hydrometeorology:;2020:;volume( 021 ):;issue: 011:;page 2623
    Author(s): Tarek, Mostafa;Brissette, François P.;Arsenault, Richard
    Publisher: American Meteorological Society
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    Using Natural Variability as a Baseline to Evaluate the Performance of Bias Correction Methods in Hydrological Climate Change Impact Studies 

    Source: Journal of Hydrometeorology:;2016:;Volume( 017 ):;issue: 008:;page 2155
    Author(s): Chen, Jie; St-Denis, Blaise Gauvin; Brissette, François P.; Lucas-Picher, Philippe
    Publisher: American Meteorological Society
    Abstract: ostprocessing of climate model outputs is usually performed to remove biases prior to performing climate change impact studies. The evaluation of the performance of bias correction methods is routinely done by comparing ...
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    Relative importance of internal climate variability versus anthropogenic climate change in global climate change 

    Source: Journal of Climate:;2020:;volume( ):;issue: -:;page 1
    Author(s): Chen, Jie;Li, Xiangquan;Martel, Jean-Luc;Brissette, François P.;Zhang, Xunchang J.;Frei, Allan
    Publisher: American Meteorological Society
    Abstract: To better understand the role of internal climate variability (ICV) in climate change impact studies, this study quantifies the importance of ICV (defined as the inter-member variability of a single model initial-condition ...
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