A Multilayer Numerical Prediction Model for Investigating Tropical Weather Systems.
STANFORD RESEARCH INST MENLO PARK CALIF
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A multilayer numerical weather prediction model has been developed that operates with winds, vorticity, and divergence as initial conditions. The reasons for choosing these particular variables are that a rather comprehensive dynamical model can be based on them, and they are potentially observable from meteorological satellites. For example, cloud motions shown by geosynchronous satellites are closely related to winds, and cloud types and gorwth rates are related to divergence and vorticity fields. The numerical model is intended primarily for subsynoptic-scale application. It is formulated so that certain empirical coefficients can be altered easily, and methods for parameterizing the effects of organized convection can be tested. The complete vorticity equation is used. The model is intended to be a research tool for use in the future with detailed data from geosynchronous satellites and other new observing systems. Author