Development and Validation of an Ice Prediction Model for Wind Farms

This report presents the results of a study on the validation of the GEM-LAM-Jones-Makkonen (GLJM) model for forecasting meteorological icing. Mandated by Natural Resources Canada, this validation aimed to assess the ability of the GLJM model to predict icing episodes at wind farms and the associated production losses.


  • Empirical evaluation and modelling with GLJM
  • Comparison with Weather Research & Forecasting (WRF) model
  • Conclusion: GLJM performs in a manner similar to WRF model
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