Abstract
A fuzzy rule-based methodology is applied to the problem of classifying daily atmospheric circulation patterns (CP). The subjective classification of European CP’s given in Hess and Brezowsky (1969) provides a basis for constructing the rules. The purpose of the approach is to produce a classification that can be used to simulate local precipitation on the basis of the 700 hPa pressure field rather than reproduce the existing subjective classification.
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© 1994 Springer Science+Business Media Dordrecht
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Bárdossy, A., Muster, H., Duckstein, L., Bogardi, I. (1994). Knowledge Based Classification of Circulation Patterns for Stochastic Precipitation Modeling. In: Hipel, K.W., McLeod, A.I., Panu, U.S., Singh, V.P. (eds) Stochastic and Statistical Methods in Hydrology and Environmental Engineering. Water Science and Technology Library, vol 10/3. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3083-9_2
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DOI: https://doi.org/10.1007/978-94-017-3083-9_2
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