TRACK PREDICTION MODELS

Forecasters at the National Hurricane Center use several different computer models to help forecast hurricane motion. Over the past 20 years errors in the official forecasts have decreased a little less than 1% per year on average, largely because of improved forecast models. The models fall into three classes: statistical models that try to relate the hurricanes' motion to experience with past storms, dynamical models that solve the fundamental physical equations that describe atmospheric motions under various simplifying assumptions, and statistical-dynamical models that use results from dynamical-model calculations as input to statistical descriptions of storm motion. The models being run in 1995 are:

References

Aberson, S. D., and M. DeMaria, 1994: Verification of a nested barotropic hurricane track prediction model. Mon. Wea. Rev., 122, 2804-2515.

Bender, M. A., R. J. Ross, R. E. Tuleya, and Y. Kurihara, 1193: Improvements in tropical cyclone track and intensity forecasts using the GFDL initialization scheme. Mon. Wea. Rev., 121, 2046-2061.

Lord, S. J., 1993: Recent developments in tropical cyclone track forecasting with the NMC global analysis and forecast system. Preprints, 20 Conference on Hurricanes and Tropical Meteorology, American Meteorological Society, 290-291.

McAdie, C. J., and M. B. Lawrence, 1993: Long-term trends in National Hurricane Center track forecast errors in the Atlantic basin. Preprints, 20 Conference on Hurricanes and Tropical Meteorology, American Meteorological Society, 281-284.