Nonlinear Climate Dynamics
This book introduces stochastic dynamical systems theory in order to synthesize our current knowledge of climate variability. Nonlinear processes, such as advection, radiation and turbulent mixing, play a central role in climate variability. These processes can give rise to transition phenomena, ass...
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2013
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crcambridgeupr:10.1017/cbo9781139034135 2024-09-15T18:03:29+00:00 Nonlinear Climate Dynamics Dijkstra, Henk A. 2013 http://dx.doi.org/10.1017/cbo9781139034135 unknown Cambridge University Press https://www.cambridge.org/core/terms ISBN 9780521879170 9781139034135 monograph 2013 crcambridgeupr https://doi.org/10.1017/cbo9781139034135 2024-08-28T04:02:21Z This book introduces stochastic dynamical systems theory in order to synthesize our current knowledge of climate variability. Nonlinear processes, such as advection, radiation and turbulent mixing, play a central role in climate variability. These processes can give rise to transition phenomena, associated with tipping or bifurcation points, once external conditions are changed. The theory of dynamical systems provides a systematic way to study these transition phenomena. Its stochastic extension also forms the basis of modern (nonlinear) data analysis techniques, predictability studies and data assimilation methods. Early chapters apply the stochastic dynamical systems framework to a hierarchy of climate models to synthesize current knowledge of climate variability. Later chapters analyse phenomena such as the North Atlantic Oscillation, El Niño/Southern Oscillation, Atlantic Multidecadal Variability, Dansgaard–Oeschger events, Pleistocene ice ages and climate predictability. This book will prove invaluable for graduate students and researchers in climate dynamics, physical oceanography, meteorology and paleoclimatology. Book Dansgaard-Oeschger events North Atlantic North Atlantic oscillation Cambridge University Press |
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Open Polar |
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Cambridge University Press |
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description |
This book introduces stochastic dynamical systems theory in order to synthesize our current knowledge of climate variability. Nonlinear processes, such as advection, radiation and turbulent mixing, play a central role in climate variability. These processes can give rise to transition phenomena, associated with tipping or bifurcation points, once external conditions are changed. The theory of dynamical systems provides a systematic way to study these transition phenomena. Its stochastic extension also forms the basis of modern (nonlinear) data analysis techniques, predictability studies and data assimilation methods. Early chapters apply the stochastic dynamical systems framework to a hierarchy of climate models to synthesize current knowledge of climate variability. Later chapters analyse phenomena such as the North Atlantic Oscillation, El Niño/Southern Oscillation, Atlantic Multidecadal Variability, Dansgaard–Oeschger events, Pleistocene ice ages and climate predictability. This book will prove invaluable for graduate students and researchers in climate dynamics, physical oceanography, meteorology and paleoclimatology. |
format |
Book |
author |
Dijkstra, Henk A. |
spellingShingle |
Dijkstra, Henk A. Nonlinear Climate Dynamics |
author_facet |
Dijkstra, Henk A. |
author_sort |
Dijkstra, Henk A. |
title |
Nonlinear Climate Dynamics |
title_short |
Nonlinear Climate Dynamics |
title_full |
Nonlinear Climate Dynamics |
title_fullStr |
Nonlinear Climate Dynamics |
title_full_unstemmed |
Nonlinear Climate Dynamics |
title_sort |
nonlinear climate dynamics |
publisher |
Cambridge University Press |
publishDate |
2013 |
url |
http://dx.doi.org/10.1017/cbo9781139034135 |
genre |
Dansgaard-Oeschger events North Atlantic North Atlantic oscillation |
genre_facet |
Dansgaard-Oeschger events North Atlantic North Atlantic oscillation |
op_source |
ISBN 9780521879170 9781139034135 |
op_rights |
https://www.cambridge.org/core/terms |
op_doi |
https://doi.org/10.1017/cbo9781139034135 |
_version_ |
1810440967592869888 |