Description
Book SynopsisClimate 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.
Trade Review'… [a] characteristic feature of this book that distinguish[es] it from the numerous other books on climate modelling [is] its focus on the stochastic dynamical system framework for representing the climate system … accessible and potentially interesting to a wide audience.' Lucy J. Campbell, Mathematical Reviews
'… the quality of the graphics, and the presentation is high and I suspect almost anyone who is willing to dedicate some time to these chapters will come away with new knowledge.' J. J. P. Smith, Bulletin of the Canadian Meteorological and Oceanographic Society
Table of Contents1. 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.
