Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Similar content being viewed by others
Keywords
Table of contents (18 papers)
-
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
Reviews
"The proceedings of the workshop on Stochastic Climate Models, held in Chorin in 1999, present an exiting and stimulating summary of probabilistic developments in climate physics. Stochastic processes, stochastic and partial differential equations, random dynamical systems, local and large deviations asymptotic procedures, have comprised the most actice mathematical areas in teh field over the past 30 years, since Klaus Haselmann suggested a climate stochastic model where weather fluctuations randomly force the climate in the same way that fluid modecules forse Brownian pollen particles. . . The structure of the book reflects its aim to review and explain recent matheamtical additions to the list of tools for climate modelling, to help the climate physicists to understand what these tools are about. . . The book is strongly recommended as an excellent source or information and inspiration, both to mathematicians and physicists interested in the field."
---EMS NEWSLETTER
Editors and Affiliations
Bibliographic Information
Book Title: Stochastic Climate Models
Editors: Peter Imkeller, Jin-Song Storch
Series Title: Progress in Probability
DOI: https://doi.org/10.1007/978-3-0348-8287-3
Publisher: Birkhäuser Basel
-
eBook Packages: Springer Book Archive
Copyright Information: Springer Basel AG 2001
Hardcover ISBN: 978-3-7643-6520-2Published: 01 April 2001
Softcover ISBN: 978-3-0348-9504-0Published: 23 October 2012
eBook ISBN: 978-3-0348-8287-3Published: 06 December 2012
Series ISSN: 1050-6977
Series E-ISSN: 2297-0428
Edition Number: 1
Number of Pages: XXVII, 398
Topics: Analysis, Atmospheric Sciences, Probability Theory and Stochastic Processes, Mathematics, general