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Journal Articles Earth System Dynamics Year : 2016

A wavelet-based approach to detect climate change on the coherent and turbulent component of the atmospheric circulation

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Abstract

The modifications of atmospheric circulation induced by anthropogenic effects are difficult to capture because wind fields feature a complex spectrum where the signal of large-scale coherent structures (planetary, baroclinic waves and other long-term oscillations) is mixed up with turbulence. Our purpose is to study the effects of climate changes on these two components separately by applying a wavelet analysis to the 700 hPa wind fields obtained in climate simulations for different forcing scenarios. We study the coherent component of the signal via a correlation analysis to detect the persistence of large-scale or long-lasting structures, whereas we use the theory of autoregressive moving-average stochastic processes to measure the spectral complexity of the turbulent component. Under strong anthropogenic forcing, we detect a significant climate change signal. The analysis suggests that coherent structures will play a dominant role in future climate, whereas turbulent spectra will approach a classical Kolmogorov behaviour.
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cea-01493854 , version 1 (22-03-2017)

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Davide Faranda, Dimitri Defrance. A wavelet-based approach to detect climate change on the coherent and turbulent component of the atmospheric circulation. Earth System Dynamics, 2016, 7, pp.517 - 523. ⟨10.5194/esd-7-517-2016⟩. ⟨cea-01493854⟩
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