Abstract: rior knowledge of the performance of a tropical cyclone intensity forecast holds the potential to increase the value of forecasts for end users. The values of certain dynamical parameters, such as storm speed, latitude, ...

Abstract: tatistical methods are used to develop the Prediction of Intensity Model Error (PRIME) for both the absolute error and bias of intensity forecasts of Atlantic basin tropical cyclones from 2007 to 2014. These forecasts of ...

Abstract: AbstractAs one of the first global coupled climate models to simulate and predict category 4 and 5 (Saffir?Simpson scale) tropical cyclones (TCs) and their interannual variations, the High-Resolution Forecast-Oriented Low ...

Abstract: AbstractThe Prediction of Intensity Model Error (PRIME) forecasting scheme uses various large-scale meteorological parameters as well as proxies for initial condition uncertainty and atmospheric flow stability to provide ...