The GFDL Hurricane Prediction System and Its Performance in the 1995 Hurricane Season

نویسندگان

  • YOSHIO KURIHARA
  • ROBERT E. TULEYA
  • MORRIS A. BENDER
چکیده

The Geophysical Fluid Dynamics Laboratory (GFDL) Hurricane Prediction System was adopted by the U.S. National Weather Service as an operational hurricane prediction model in the 1995 hurricane season. The framework of the prediction model is described with emphasis on its unique features. The model uses a multiply nested movable mesh system to depict the interior structure of tropical cyclones. For cumulus parameterization, a soft moist convective adjustment scheme is used. The model initial condition is defined through a method of vortex replacement. It involves generation of a realistic hurricane vortex by a scheme of controlled spinup. Time integration of the model is carried out by a two-step iterative method that has a characteristic of frequency-

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تاریخ انتشار 1996