Stochastic Climate Theory: Models and Applications

Dobrovolski, Serguei G.

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.

Details

Published by: Springer

Publication Date: 2010-12-01

Format: Paperback

ISBN-13: 9783642085581

DOI: 10.1007/978-3-662-04119-2

Dimensions: 235cm x155cm

Pages: 282