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

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.
Complete list of metadatas

Cited literature [41 references]  Display  Hide  Download

https://hal-cea.archives-ouvertes.fr/cea-01493854
Contributor : Dimitri Defrance <>
Submitted on : Wednesday, March 22, 2017 - 11:39:44 AM
Last modification on : Thursday, February 7, 2019 - 3:05:16 PM
Long-term archiving on : Friday, June 23, 2017 - 12:42:08 PM

File

esd-7-517-2016.pdf
Publisher files allowed on an open archive

Identifiers

Citation

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, European Geosciences Union, 2016, 7, pp.517 - 523. ⟨10.5194/esd-7-517-2016⟩. ⟨cea-01493854⟩

Share

Metrics

Record views

161

Files downloads

138