Stochastic Physics and Climate Modelling

The first book to promote the use of stochastic, or random, processes to understand, model and predict our climate system.

Preface Tim Palmer and Paul Williams; Introduction: stochastic physics and climate modelling Tim Palmer and Paul Williams; 1. Mechanisms of climate variability from years to decades Geoffrey Vallis; 2. Empirical model reduction and the modeling hierarchy in climate dynamics and the geosciences Sergey Kravtsov, Dmitri Kondrashov and Michael Ghil; 3. An applied mathematics perspective on stochastic modelling for climate Andrew J. Majda, Christian Franzke and Boualem Khouider; 4. Predictability in nonlinear dynamical systems with model uncertainty Jinqiao Duan; 5. On modelling physical systems with stochastic models: diffusion versus Lévy processes Cécile Penland and Brian D. Ewald; 6. First passage time analysis for climate prediction Peter C. Chu; 7. Effects of stochastic parametrization on conceptual climate models Daniel S. Wilks; 8. Challenges in stochastic modelling of quasigeostrophic turbulence Timothy DelSole; 9. Orientation of eddy fluxes in geostrophic turbulence Balasubramanya T. Nadiga; 10. Stochastic theories for the irregularity of ENSO Richard Kleeman; 11. Stochastic models of the meridional overturning circulation: time scales and patters of variability Adam H. Monahan, Julie Alexander and Andrew J. Weaver; 12. A stochastic dynamical systems view of the Atlantic Multidecadal Oscillation Henk A. Dijkstra, Leela M. Frankcombe and Anna S. von der Heydt; 13. Centennial-to-millennial-scale Holocene climate variability in the North Atlantic region induced by noise Matthias Prange, Jochen I. Jongma and Michael Schulz; 14. Cloud radiative interactions and their uncertainty in climate models Adrian Tompkins and Francesca Di Giuseppe; 15. Impact of a quasi-stochastic cellular automaton backscatter scheme on the systematic error and seasonal prediction skill of a global climate model Judith Berner, Francisco Doblas-Reyes, Tim Palmer, Glenn J. Shutts and Antje Weisheimer; 16. Rethinking convective quasi-equilibrium: observational constraints for stochastic convective schemes in climate models J. David Neelin, Ole Peters, Katrina Hales, Christopher E. Holloway and Johnny W. B. Lin; 17. Comparison of stochastic parametrization approaches in a single-column model Michael A. W. Ball and Robert S. Plant; 18. Stochastic parametrization of multiscale processes using a dual-grid approach Thomas Allen, Glenn J. Shutts and Judith Berner; Index.