Stochastic Physics and Climate Modelling

ISBN-13: 9781108446990 / Włoski / Miękka / 2018 / 496 str.

Tim Palmer; Paul Williams

Opis

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

Recenzje

'Stochastic Physics and Climate Modelling is a timely thought-provoking book on one of the most challenging and paradoxical scientific issues: stochastic physics may well be the key to substantial progress being made in climate change modelling and prediction, and to resolve the large uncertainties that exist. It is therefore a must for anyone having a keen interest in climate modelling, especially graduate students and researchers involved in climate studies.' Nonlinear Processes in Geophysics

Spis treści

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.