Dobrovolski S.G. Stochastic climate theory. Springer, Heidelberg et al., 2000, 296 pp. (Добровольский С.Г. Стохастическая теория климата. Гейдельберг и др.: Шпрингер, 2000, 296 с., на английском).
The author describes the stochastic (probabilistic) approach to the study of changes in the climate system. Climatic data and theoretical considerations suggest that a large part of climatic variation/variability has a random nature and can be analyzed using the theory of stochastic processes. This work summarizes the results of processing existing records of climatic parameters as well as appropriate theories: from the theory of random processes (based on the results of Kolmogorov and Yaglom) and Hasselmann's "stochastic climate model theory" to recently obtained results.
2020M.A. Sokolovskiy, X.J. Carton, B.N. Filyushkin. Mathematical modeling of vortex interaction using a three-layer quasigeostrophic model. Part 2: Finite-core-vortex approach and oceanographic application. Mathematics, 2020, v. 8, N 8, 1267
2020M.A. Sokolovskiy, X.J. Carton, B.N. Filyushkin. Mathematical modeling of vortex interaction using a three-layer quasigeostrophic model. Part 1: Point-vortex approach. Mathematics, 2020, v. 8, N 8, 1228, doi:10.3390/math8081228