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Stochastic Climate Models

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Cover of 'Stochastic Climate Models'

Table of Contents

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    Book Overview
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    Chapter 1 A gallery of simple models from climate physics
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    Chapter 2 Simple climate models
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    Chapter 3 Complex climate models — tools for studying the origin of stochasticity in the climate system
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    Chapter 4 Some mathematical aspects of the GCMs
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    Chapter 5 Hasselmann’s program revisited: the analysis of stochasticity in deterministic climate models
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    Chapter 6 Thermodynamic formalism, large deviation, and multifractals
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    Chapter 7 Averaging and climate models
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    Chapter 8 Dynamical systems with time scale separation: averaging, stochastic modelling, and central limit theorems
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    Chapter 9 Energy balance models — viewed from stochastic dynamics
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    Chapter 10 Exponential stability of the quasigeostrophic equation under random perturbations
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    Chapter 11 A mini course on stochastic partial differential equations
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    Chapter 12 Hasselmann’s stochastic climate model viewed from a statistical mechanics perspective
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    Chapter 13 Constrained stochastic forcing
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    Chapter 14 Stochastic resonance and noise-induced phase coherence
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    Chapter 15 Stochastic confinement of Rossby waves by fluctuating eastward flows
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    Chapter 16 Some mathematical remarks concerning the localisation of planetary waves in a stochastic background flow
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    Chapter 17 Rossby waves in a stochastically fluctuating medium
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    Chapter 18 Passive tracer transport in stochastic flows
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Mentioned by

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3 Wikipedia pages

Citations

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61 Dimensions

Readers on

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58 Mendeley
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Title
Stochastic Climate Models
Published by
Birkhäuser Basel, December 2012
DOI 10.1007/978-3-0348-8287-3
ISBNs
978-3-03-489504-0, 978-3-03-488287-3
Editors

Imkeller, Peter, Storch, Jin-Song

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
France 1 2%
Sweden 1 2%
United Kingdom 1 2%
Canada 1 2%
Unknown 53 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 33%
Student > Ph. D. Student 15 26%
Professor 6 10%
Professor > Associate Professor 4 7%
Student > Master 4 7%
Other 5 9%
Unknown 5 9%
Readers by discipline Count As %
Earth and Planetary Sciences 23 40%
Physics and Astronomy 7 12%
Environmental Science 6 10%
Mathematics 6 10%
Computer Science 2 3%
Other 3 5%
Unknown 11 19%