Highly efficient methods for regional weather forecasting

Abstract

A model and computational method is offered for the high performance forecasting regional meteorological processes. Relying on "unilateral influence" relationship of macro- and mesoscale models it suggests avoiding the Cauchy problem in the atmospheric model and replacing it by a boundary-value problem with specific interpolation technique that has a number of advantages of computational efficiency and good suitability for parallelization. The method and its parallel implementation on multiprocessor cluster architecture are considered.