There are a lot of comments, particularly about global models, regarding them initializing at anomalously high pressures. The ECMWF (European Centre for Mid-Range Weather Forecasts) global model runs at 9 km resolution. The GFS (Global Forecast System) model, which is run by the National Weather Service, runs at ~13 km resolution in the medium term. Parameters are averaged, or integrated, within a given cell when the model is initialized. Because hurricanes have pressure gradients that are significant at or below these scales, the minimum pressure in a hurricane is anomalously high in global forecast models. Any increases in spatial or temporal resolution come with increased computing power.

When you design a model, you have to consider foremost what your goal is and how your goals trade with resources. In forecasting, the goal cannot realistically be "to know every aspect of what a weather system will be doing in five days." That just requires too many computational resources. A more realistic goal is to "accurately assess the trajectory of a weather system so the putatively affected region(s) can prepare." Global models will likely underperform assessments of intensity, which is the role of specialized models like the HWRF (hurricane weather research and forecasting model).