Nonlinear and Stochastic Climate Dynamics
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portes grátis
Nonlinear and Stochastic Climate Dynamics
O'Kane, Terence J.; Franzke, Christian L. E. (Universitat Hamburg)
Cambridge University Press
01/2017
466
Dura
Inglês
9781107118140
15 a 20 dias
This edited volume presents the latest developments and current research questions in nonlinear and stochastic climate dynamics. It 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.
Preface; 1. Challenges for ice age dynamics: a dynamical systems perspective Michel Crucifix, Guillaume Lenoir and Takahito Mitsui; 2. Tipping points in the climate system Peter Ditlevsen; 3. Atmospheric teleconnection patterns Steven B. Feldstein and Christian L. E. Franzke; 4. Atmospheric regimes: the link between weather and the large scale circulation David M. Straus, Franco Molteni and Susanna Corti; 5. Low-frequency regime transitions and predictability of regimes in a barotropic model Balu T. Nadiga and Terence J. O'Kane; 6. Complex network techniques for climatological data analysis Reik V. Donner, Marc Wiedermann and Jonathan F. Donges; 7. On inference and validation of causality relations in climate teleconnections Illia Horenko, Susanne Gerber, Terence J. O'Kane, James S. Risbey and Didier P. Monselesan; 8. Stochastic climate theory Georg A. Gottwald, Daan T. Crommelin and Christian L. E. Franzke; 9. Stochastic subgrid modelling for geophysical and three-dimensional turbulence Jorgen S. Frederiksen, Vassili Kitsios, Terence J. O'Kane and Meelis J. Zidikheri; 10. Model error in data assimilation John Harlim; 11. Long-term memory in climate: detection, extreme events, and significance of trends Armin Bunde and Josef Ludescher; 12. Fractional stochastic models for heavy tailed, and long-range dependent, fluctuations in physical systems Nicholas Watkins; 13. Modelling spatial extremes using max-stable process Mathieu Ribatet; 14. Extreme value analysis in dynamical systems: two case studies Tamas Bodai; Index.
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This edited volume presents the latest developments and current research questions in nonlinear and stochastic climate dynamics. It 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.
Preface; 1. Challenges for ice age dynamics: a dynamical systems perspective Michel Crucifix, Guillaume Lenoir and Takahito Mitsui; 2. Tipping points in the climate system Peter Ditlevsen; 3. Atmospheric teleconnection patterns Steven B. Feldstein and Christian L. E. Franzke; 4. Atmospheric regimes: the link between weather and the large scale circulation David M. Straus, Franco Molteni and Susanna Corti; 5. Low-frequency regime transitions and predictability of regimes in a barotropic model Balu T. Nadiga and Terence J. O'Kane; 6. Complex network techniques for climatological data analysis Reik V. Donner, Marc Wiedermann and Jonathan F. Donges; 7. On inference and validation of causality relations in climate teleconnections Illia Horenko, Susanne Gerber, Terence J. O'Kane, James S. Risbey and Didier P. Monselesan; 8. Stochastic climate theory Georg A. Gottwald, Daan T. Crommelin and Christian L. E. Franzke; 9. Stochastic subgrid modelling for geophysical and three-dimensional turbulence Jorgen S. Frederiksen, Vassili Kitsios, Terence J. O'Kane and Meelis J. Zidikheri; 10. Model error in data assimilation John Harlim; 11. Long-term memory in climate: detection, extreme events, and significance of trends Armin Bunde and Josef Ludescher; 12. Fractional stochastic models for heavy tailed, and long-range dependent, fluctuations in physical systems Nicholas Watkins; 13. Modelling spatial extremes using max-stable process Mathieu Ribatet; 14. Extreme value analysis in dynamical systems: two case studies Tamas Bodai; Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
