Stochastic Climate Theory: Models and Applications
ISBN/ASIN: 9783642085581,9783662041192 | 2000 | English | pdf | 282/290 pages | 12.9 Mb
Publisher: Springer-Verlag Berlin Heidelberg | Author: Prof. Dr. Serguei G. Dobrovolski (auth.) | Edition: 1
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.