Hurricane Prediction with a High Resolution Global Model

Abstract

Abstract A global spectral model is used to carry out a number of short to medium range prediction experiments with global datasets. The primary objective of these studies is to examine the formation and motion of the hurricanes/typhoons with a fairly comprehensive state-of-the-art global model. Ale spectral model utilizes the usual transform method for the calculations of the nonlinear and physical processes. The physical processes include parameterizations of the planetary boundary layer, deep and shallow cumulus convection, radiative processes (including cloud feedback processes, diurnal change and surface energy balance) and large-scale condensation. ‘Envelope orography’ is used to represent steep mountains globally. Ocean temperatures are prescribed from a Preceding 10 day averaged dataset for the storm periods under investigation. Sensitivity of storm forecasts to horizontal and vertical resolutions, datasets and representation of physical processes are addressed in this paper. The major findings of...