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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References
Dovgyi, S. A., Prusov, V. A., Kopeika, O. B., 2000, Mathematical modeling of man-caused environmental pollution. Kiev, Naukova Dumka, 247 p. (in Russian).
Godunov, S. K., Riabenkiy, V. C., 1973, Difference schemes (introduction to the theory). Moscow, Science, 400 p. (in Russian).
Houghton, J. T., Ding, Y., Griggs, D. J., Noguer, M., van der Linden, P. J., Dai, X., Maskell, K., and Johnson, C. A. (eds.), 2001, Climate Change 2001: The Scientific Basis. Cambridge University Press.
Miyakoda K., Rosati A., 1977, One-way nested grid models: The interface condition and the numerical accuracy. Mon. Weather Review 105, pp. 1092–1107.
Phillips, N., Shukla, J., 1973, On the strategy of combining coarse and fine grid meshes in numerical weather prediction. J. Appl. Meteor. 12, pp. 763–770.
Prusov, V., Doroshenko, A., 2003, Modeling and Forecasting Atmospheric Pollution over Region. Annales Univ. Sci. Budapest 46, pp. 47–64.
Prusov, V., Doroshenko, A., Prikhodko, S., Yu. Tyrchak, Chernysh, R., 2004, Methods for efficient solution of problems in modeling and predicting regional atmospheric processes. Problems in Programming 3–4, pp. 556–569 (in Russian).
Tikhonov A. N., Samarskiy A. A., 1977, The equations of mathematical physics. Moscow, Science, 735 p. (in Russian).
Xue, M, Droegemeier, K. K., and Wong, V., 2000, The Advanced Regional Prediction System (ARPS) — A multi-scale nonhydrostatic atmospheric simulation and prediction model. Part I: Model dynamics and verification. Meteorol. Atmos. Phys. 75, pp. 161–193.
Zlatev, Z., 1995, Computer treatment of large air pollution models. Environmental Science and Technology Library, Vol. 2. Kluwer Academic Publishers, Dordrecht-Boston-London.
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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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