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Comments on “Hydrometeorological Accuracy Enhancement via Postprocessing of Numerical Weather Forecasts in Complex Terrain”

Laurence J. Wilson Atmospheric Science and Technology Directorate, Environment Canada, Dorval, Québec, Canada

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Marcel Vallée Atmospheric Science and Technology Directorate, Environment Canada, Dorval, Québec, Canada

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Jacques Montpetit Meteorological Service of Canada, Dorval, Québec, Canada

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Print Publication:
01 Jun 2009
DOI:
https://doi.org/10.1175/2008WAF2222177.1
Page(s):
892–894
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Corresponding author address: Laurence J. Wilson, 2121 Trans-Canada Highway, 5th Floor, Dorval, QC H9P 1J3, Canada. Email: lawrence.wilson@ec.gc.ca

Corresponding author address: Laurence J. Wilson, 2121 Trans-Canada Highway, 5th Floor, Dorval, QC H9P 1J3, Canada. Email: lawrence.wilson@ec.gc.ca

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Weather and Forecasting

  • McCollor, D., and Stull R. , 2008: Hydrometeorological accuracy enhancement via postprocessing of numerical weather forecasts in complex terrain. Wea. Forecasting, 23 , 131–144.

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  • Peel, S., and Wilson L. J. , 2008: A diagnostic verification of the precipitation forecasts produced by the Canadian Ensemble Prediction System. Wea. Forecasting, 23 , 596–616.

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  • Vallée, M., Wilson L. , Bourgouin P. , Verret R. , and Desautels G. , 1996: New statistical methods for the interpretation of NWP output at the Canadian Meteorological Center. Preprints, 13th Conf. on Probability and Statistics in the Atmospheric Sciences, San Francisco, CA, Amer. Meteor. Soc., 37–44.

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  • Wilson, L. J., and Vallée M. , 2002: The Canadian Updateable Model Output Statistics (UMOS) system: Design and development tests. Wea. Forecasting, 17 , 206–222.

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  • Wilson, L. J., and Vallée M. , 2003: The Canadian Updateable Model Output Statistics (UMOS) system: Validation against perfect prog. Wea. Forecasting, 18 , 288–302.

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