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Annular modes and apparent eddy feedbacks in the Southern Hemisphere

Lagged correlation analysis is often used to infer intraseasonal dynamical effects but is known to be affected by nonstationarity. We highlight a pronounced quasi 2 year peak in the anomalous zonal wind and eddy momentum flux convergence power spectra in the Southern Hemisphere, which is prima facie...

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Autores principales: Byrne, Nicholas J., Shepherd, Theodore G., Woollings, Tim, Plumb, R. Alan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024351/
https://www.ncbi.nlm.nih.gov/pubmed/27667877
http://dx.doi.org/10.1002/2016GL068851
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author Byrne, Nicholas J.
Shepherd, Theodore G.
Woollings, Tim
Plumb, R. Alan
author_facet Byrne, Nicholas J.
Shepherd, Theodore G.
Woollings, Tim
Plumb, R. Alan
author_sort Byrne, Nicholas J.
collection PubMed
description Lagged correlation analysis is often used to infer intraseasonal dynamical effects but is known to be affected by nonstationarity. We highlight a pronounced quasi 2 year peak in the anomalous zonal wind and eddy momentum flux convergence power spectra in the Southern Hemisphere, which is prima facie evidence for nonstationarity. We then investigate the consequences of this nonstationarity for the Southern Annular Mode and for eddy momentum flux convergence. We argue that positive lagged correlations previously attributed to the existence of an eddy feedback are more plausibly attributed to nonstationary interannual variability external to any potential feedback process in the midlatitude troposphere. The findings have implications for the diagnosis of feedbacks in both models and reanalysis data as well as for understanding the mechanisms underlying variations in the zonal wind.
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spelling pubmed-50243512016-09-23 Annular modes and apparent eddy feedbacks in the Southern Hemisphere Byrne, Nicholas J. Shepherd, Theodore G. Woollings, Tim Plumb, R. Alan Geophys Res Lett Research Letters Lagged correlation analysis is often used to infer intraseasonal dynamical effects but is known to be affected by nonstationarity. We highlight a pronounced quasi 2 year peak in the anomalous zonal wind and eddy momentum flux convergence power spectra in the Southern Hemisphere, which is prima facie evidence for nonstationarity. We then investigate the consequences of this nonstationarity for the Southern Annular Mode and for eddy momentum flux convergence. We argue that positive lagged correlations previously attributed to the existence of an eddy feedback are more plausibly attributed to nonstationary interannual variability external to any potential feedback process in the midlatitude troposphere. The findings have implications for the diagnosis of feedbacks in both models and reanalysis data as well as for understanding the mechanisms underlying variations in the zonal wind. John Wiley and Sons Inc. 2016-04-21 2016-04-28 /pmc/articles/PMC5024351/ /pubmed/27667877 http://dx.doi.org/10.1002/2016GL068851 Text en ©2016. The Authors. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Letters
Byrne, Nicholas J.
Shepherd, Theodore G.
Woollings, Tim
Plumb, R. Alan
Annular modes and apparent eddy feedbacks in the Southern Hemisphere
title Annular modes and apparent eddy feedbacks in the Southern Hemisphere
title_full Annular modes and apparent eddy feedbacks in the Southern Hemisphere
title_fullStr Annular modes and apparent eddy feedbacks in the Southern Hemisphere
title_full_unstemmed Annular modes and apparent eddy feedbacks in the Southern Hemisphere
title_short Annular modes and apparent eddy feedbacks in the Southern Hemisphere
title_sort annular modes and apparent eddy feedbacks in the southern hemisphere
topic Research Letters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024351/
https://www.ncbi.nlm.nih.gov/pubmed/27667877
http://dx.doi.org/10.1002/2016GL068851
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