Abstract
Regional forecasting is of great importance because of its potential for preventing economical and social consequences of natural and man-caused atmospheric pollution. A new non-standard approach and computational method is offered in this paper for the efficient solution for forecasting regional meteorological processes. The method replaces the Cauchy problem in the atmospheric model by a boundary-value problem and introduces a specific interpolation technique that has a number of advantages for the method to be computationally efficient. The model and method have been tested by the Hydrometeorological Centre of Ukraine and successfully applied in regional short- and middle-term weather forecasting for regions of Ukraine.
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Doroshenko, A.Y., Prusov, V.A. (2005). Methods of Efficient Modeling and Forecasting Regional Atmospheric Processes. In: Faragó, I., Georgiev, K., Havasi, Á. (eds) Advances in Air Pollution Modeling for Environmental Security. NATO Science Series, vol 54. Springer, Dordrecht. https://doi.org/10.1007/1-4020-3351-6_13
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DOI: https://doi.org/10.1007/1-4020-3351-6_13
Publisher Name: Springer, Dordrecht
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