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Stochastic Climate Theory

Models and Applications

  • Serguei G. Dobrovolski

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Serguei G. Dobrovolski
    Pages 1-3
  3. Serguei G. Dobrovolski
    Pages 125-210
  4. Serguei G. Dobrovolski
    Pages 211-260
  5. Serguei G. Dobrovolski
    Pages 261-262
  6. Back Matter
    Pages 263-282

About this book

Introduction

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.

Keywords

Klimamodelle Klimaschwankungen Klimasystem Scale Stochastic processes climate models climate system climate variability stochastic process

Authors and affiliations

  • Serguei G. Dobrovolski
    • 1
  1. 1.Water Problems InstituteRussian Academy of SciencesMoscowRussia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-04119-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2000
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-08558-1
  • Online ISBN 978-3-662-04119-2
  • Buy this book on publisher's site