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Nonlinear Climate Dynamics

$72.99 (P)

  • Date Published: June 2013
  • availability: Available
  • format: Hardback
  • isbn: 9780521879170

$ 72.99 (P)

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About the Authors
  • 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 dynamical systems approach to climate variability is presented
    • Elementary presentation of the theory of stochastic dynamical systems
    • Introduces a hierarchy of models of the climate system
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    Reviews & endorsements

    "… [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

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    Product details

    • Date Published: June 2013
    • format: Hardback
    • isbn: 9780521879170
    • length: 367 pages
    • dimensions: 260 x 182 x 21 mm
    • weight: 0.96kg
    • contains: 289 b/w illus. 13 colour illus. 11 tables
    • availability: Available
  • Table of Contents

    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.

  • Author

    Henk A. Dijkstra, Utrecht University
    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.

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