In this study we explore alternative methods for incorporating track uncertainty into the Monte Carlo wind speed probability model (MC Model), the model upon which the NHC wind speed probabilities are based, through the use of global model TC track forecasts. Global model tracks are incorporated in a variety of ways, from the development of model-based wind speed probabilities based on past model error statistics to the explicit use of global model ensemble tracks to generate hybrid statistical-dynamical wind speed probabilities. We will demonstrate the strengths and weaknesses of each of these methods through case studies and show the results of basin-wide seasonal verification for each method compared to those of the current operational MC Model.
Disclaimer: The views, opinions, and findings contained in this article are those of the authors and should not be construed as an official National Oceanic and Atmospheric Administration (NOAA) or U.S. Government position, policy, or decision.
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