Hidden Bibliographic Details
| Other authors / contributors: | Franzke, Christian L. E., editor.
O'Kane, Terence J., editor.
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| ISBN: | 9781316884201
1316884201
9781107118140
110711814X
9781316339251
1316339254
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| Notes: | Includes bibliographical references and index.
Print version record.
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| Summary: | 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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| Other form: | Print version: Nonlinear and stochastic climate dynamics. Cambridge, United Kingdom ; New York, NY, USA : Cambridge University Press, 2017 9781107118140
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