Stochastic Climate Theory: Models and Applications

✍ Scribed by Prof. Dr. Serguei G. Dobrovolski (auth.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2000
Tongue: English
Leaves: 290
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages I-XIII
Introduction....Pages 1-3
Climatic System: Data, Processes, Scales, and Deterministic Models....Pages 5-43
Theoretical Foundations of the Stochastic Approach to Climate Variability Studies....Pages 45-123
Stochastic Models of Recent Climatic Changes....Pages 125-210
Stochastic Models for Glacial Cycles....Pages 211-260
Conclusion....Pages 261-262
Back Matter....Pages 263-282

✦ Subjects

Atmospheric Sciences

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