This book introduces stochastic dynamical systems theory in order to synthesize our current knowledge of climate variability. Nonlinear processes, such as advection, radiation and turbulent mixing, play a central role in climate variability. These processes can give rise to transition phenomena, associated with tipping or bifurcation points, once external conditions are changed. The theory of dynamical systems provides a systematic way to study these transition phenomena. Its stochastic extension also forms the basis of modern (nonlinear) data analysis techniques, predictability studies and data assimilation methods. Early chapters apply the stochastic dynamical systems framework to a hierarchy of climate models to synthesize current knowledge of climate variability. Later chapters analyse phenomena such as the North Atlantic Oscillation, El Niño/Southern Oscillation, Atlantic Multidecadal Variability, Dansgaard–Oeschger events, Pleistocene ice ages and climate predictability. This book will prove invaluable for graduate students and researchers in climate dynamics, physical oceanography, meteorology and paleoclimatology.
'… [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 Source: 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 Source: Bulletin of the Canadian Meteorological and Oceanographic Society
Loading metrics...
* Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.
Usage data cannot currently be displayed.
This section outlines the accessibility features of this content - including support for screen readers, full keyboard navigation and high-contrast display options. This may not be relevant for you.
Accessibility compliance for the PDF of this book is currently unknown and may be updated in the future.