Nonlinear and stochastic climate dynamics
Publisher’s description: It is now widely recognized that the climate system is governed by nonlinear, multi-scale processes, whereby memory effects and stochastic forcing by fast processes, such as weather and convective systems, can induce regime behavior. Motivated by present difficulties in unde...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Cambridge, New York, NY, Port Melbourne
Cambridge University Press
2017
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| Online Zugang: | Autorenbiografie Verlagsangaben Inhaltsverzeichnis Inhaltstext |
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Tag hinzufügen | Zusammenfassung: | Publisher’s description: It is now widely recognized that the climate system is governed by nonlinear, multi-scale processes, whereby memory effects and stochastic forcing by fast processes, such as weather and convective systems, can induce regime behavior. Motivated by present difficulties in understanding the climate system and to aid the improvement of numerical weather and climate models, this book gathers contributions from mathematics, physics and climate science to highlight the latest developments and current research questions in nonlinear and stochastic climate dynamics. Leading researchers discuss some of the most challenging and exciting areas of research in the mathematical geosciences, such as the theory of tipping points and of extreme events including spatial extremes, climate networks, data assimilation and dynamical systems. This book provides graduate students and researchers with a broad overview of the physical climate system and introduces powerful data analysis and modeling methods for climate scientists and applied mathematicians. |
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| Beschreibung: | Includes index |
| Beschreibung: | xxxiv, 432 Seiten Diagramme 25 cm |
| ISBN: | 9781107118140 978-1-107-11814-0 |