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.
2019Yury G. Motovilov & Tatiana B. Fashchevskaya. Simulation of spatially-distributed copper pollution in a large river basin using the ECOMAGHM model // Hydrological Sciences Journal, Volume 64, Issue 6, 2019, P. 739-756.
2019A.I. Aleksyuk, V.V. Belikov. The uniqueness of the exact solution of the Riemann problem for the shallow water equations with discontinuous bottom // Journal of Computational Physics, vol. 390, 2019, pp. 232-248