Bibliographic Information

Stochastic climate models

Peter Imkeller, Jin-Song von Storch, editors

(Progress in probability / series editors, Thomas Liggett, Charles Newman, Loren Pitt, 49)

Birkhäuser Verlag, c2001

  • : sz
  • : us

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Note

Includes bibliographies

The proceedings of the workshop in Chorin, Germany, 1999

Description and Table of Contents

Description

This is a collection of articles written by mathematicians and physicists, designed to describe the state of the art in climate models with stochastic input. Mathematicians will benefit from a survey of simple models, while physicists will encounter mathematically relevant techniques at work.

Table of Contents

  • The hierarchy of climate models
  • The emergence of randomness - chaos, averaging, limit theorems
  • tools and methods - SDE, dynamical systems, SPDE, multiscale techniques
  • reduced stochastic models and particular techniques.

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