Climate variability is controlled by nonlinear processes, which can give rise to transition behavior due to tipping points and extreme behavior. This book presents stochastic dynamical systems theory, synthesizing our current knowledge of climate variability. An invaluable resource for graduate students and researchers in climate dynamics, physical oceanography, meteorology and paleoclimatology.
Climate variability is controlled by nonlinear processes, which can give rise to transition behavior due to tipping points and extreme behavior. This book presents stochastic dynamical systems theory, synthesizing our current knowledge of climate variability. An invaluable resource for graduate students and researchers in climate dynamics, physical oceanography, meteorology and paleoclimatology.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Henk A. Dijkstra is Professor of Dynamical Oceanography at the Institute for Marine and Atmospheric Research, Department of Physics and Astronomy, Utrecht University, The Netherlands. His main research interests are in the application of dynamical systems methods to problems in climate variability and climate modeling. He is the author of Nonlinear Physical Oceanography (2nd edition, 2005) and Dynamical Oceanography (2008). He is a member of the Dutch Royal Academy of Arts and Sciences. In 2005, he received the Lewis Fry Richardson medal from the European Geosciences Union and in 2009 he was elected a Fellow of the Society for Industrial and Applied Mathematics.
Inhaltsangabe
1. Climate variability 2. Deterministic dynamical systems 3. Introduction to stochastic calculus 4. Stochastic dynamical systems 5. Analysing data from stochastic dynamical systems 6. The climate modeling hierarchy 7. The North Atlantic Oscillation 8. El Niño variability 9. Multidecadal variability 10. Dansgaard-Oeschger events 11. The Pleistocene ice ages 12. Predictability.
1. Climate variability 2. Deterministic dynamical systems 3. Introduction to stochastic calculus 4. Stochastic dynamical systems 5. Analysing data from stochastic dynamical systems 6. The climate modeling hierarchy 7. The North Atlantic Oscillation 8. El Niño variability 9. Multidecadal variability 10. Dansgaard-Oeschger events 11. The Pleistocene ice ages 12. Predictability.
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