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.
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