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.
2018Vavilin V.A., Rytov S.V., Lokshina L.Y. Modelling the specific pathway of CH4 and CO2 formation using carbon isotope fractionation: an example for a boreal mesotrophic fen / Isotopes in Environmental and Health Studies
2018V.A. Vavilin, S.V. Rytov, L.Y. Lokshina. Dynamic isotope equations for 13CH4 and 13CO2 describing methane formation with a focus on the effect of anaerobic respiration in sediments of some tropical lakes / Ecological Modelling, 2018, vol. 386, pages 59-70