sunnyday wrote:Thank you for explaining. One more quick question--how reliable are they, generally?
No model is ever perfectly accurate because it is impossible to learn exactly everything about the atmosphere in a timely enough manner, and atmospheric measurements that are taken are not completely accurate. Dynamic models employ the basic laws of physics as they apply to the atmosphere to predict the future course of the storm (this process involves complex equations). The major problem with this process is the computing power and time it takes to process. For example, if the fineness of the grid points or mesh for an area the size of the globe is used with the maximum amount of data available combined with the most detailed of the models, the forecast would be as accurate as possible. However, the problem in the example stated above is in order for the computers to process the data and produce a model run, it would take up to 7 days for a 24 hour forecast. Instead, we use an ensemble method of forecasting, whether it be a multi-model ensemble, or numerous ensemble members based on the global model, helps define the uncertainty and further limit errors. The forecast models are used as a tool that an experienced forecaster will use to assemble an official track forecast.
Like all weather forecasts, track forecasts are more accurate in the short term than in the long term. Average errors for the United States National Hurricane Center are around 100, 200, and 300 nautical miles (560 km) in 1, 2, and 3 days, respectively — the source of the 1-2-3 rule — although the errors have been decreasing.