Nonlinear and Stochastic Climate Dynamics
eBook - PDF

Nonlinear and Stochastic Climate Dynamics

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Nonlinear and Stochastic Climate Dynamics

Book details
Table of contents
Citations

About This Book

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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Yes, you can access Nonlinear and Stochastic Climate Dynamics by Christian L. E. Franzke,Terence J. O'Kane in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Meteorology & Climatology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Cambridge University Press
Year
2017
ISBN
9781316883655
Topic
Physical Sciences
Subtopic
Meteorology & Climatology

Table of contents

  1. Cover
  2. Half-title page
  3. Title page
  4. Copyright page
  5. Contents
  6. List of Figures
  7. List of Contributors
  8. Preface
  9. 1 Challenges for Ice Age Dynamics: A Dynamical Systems Perspective
  10. 2 Tipping Points in the Climate System
  11. 3 Atmospheric Teleconnection Patterns
  12. 4 Atmospheric Regimes: The Link between Weather and the Large-Scale Circulation
  13. 5 Low-Frequency Regime Transitions and Predictability of Regimes in a Barotropic Model
  14. 6 Complex Network Techniques for Climatological Data Analysis
  15. 7 On Inference and Validation of Causality Relations in Climate Teleconnections
  16. 8 Stochastic Climate Theory
  17. 9 Stochastic Subgrid Modelling for Geophysical and Three-Dimensional Turbulence
  18. 10 Model Error in Data Assimilation
  19. 11 Long-Term Memory in Climate: Detection, Extreme Events, and Significance of Trends
  20. 12 Fractional Stochastic Models for Heavy Tailed, and Long-Range Dependent, Fluctuations in Physical Systems
  21. 13 Modelling Spatial Extremes Using Max-Stable Processes
  22. 14 Extreme Value Analysis in Dynamical Systems:Two Case Studies
  23. Index