Институт вычислительной математики и математической геофизики СОРАН

Abstracts

Статистическое моделирование и методы Монте-Карло

Numerical stochastic models of joint weather elements time series for problems of applied climatology

Khlebnikova E.I., Derenok K.V., Ogorodnikov V.A.

Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Novosibirsk)

The numerical stochastic parametrical models of joint time series of different weather elements (air temperature, wind speed, relative humidity etc.), making allowance one-dimensional distributions and matrix correlation functions of real processes are constructed. The approach of periodically correlated process is used. According to this approach the daily periodic character of parameters of one-dimensional distributions and correlation functions is taken into account. On the basis of models the statistical properties of the adverse meteorological phenomena (long adverse temperature phenomena, adverse combinations of weather elements etc.) are investigated

Note. Abstracts are published in author's edition

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