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  Contrasting interannual and multidecadal NAO variability

Woolings, T., Franzke, C., Hodson, D., Dong, B., Barnes, E., Raible, C., et al. (2014). Contrasting interannual and multidecadal NAO variability. Climate Dynamics. doi:10.1007/s00382-014-2237-y.

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Woolings, T., Author
Franzke, Christian1, Author           
Hodson, D., Author
Dong, B., Author
Barnes, E., Author
Raible, C., Author
Pinto, J., Author
Affiliations:
1A 1 - Climate Variability and Predictability, Research Area A: Climate Dynamics and Variability, The CliSAP Cluster of Excellence, External Organizations, Bundesstraße 53, 20146 Hamburg, DE, ou_1863478              

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 Abstract: Decadal and longer timescale variability in the winter North Atlantic Oscillation (NAO) has considerable impact on regional climate, yet it remains unclear what fraction of this variability is potentially predictable. This study takes a new approach to this question by demonstrating clear physical differences between NAO variability on interannual-decadal (<30 year) and multidecadal (>30 year) timescales. It is shown that on the shorter timescale the NAO is dominated by variations in the latitude of the North Atlantic jet and storm track, whereas on the longer timescale it represents changes in their strength instead. NAO variability on the two timescales is associated with different dynamical behaviour in terms of eddy-mean flow interaction, Rossby wave breaking and blocking. The two timescales also exhibit different regional impacts on temperature and precipitation and different relationships to sea surface temperatures. These results are derived from linear regression analysis of the Twentieth Century and NCEP-NCAR reanalyses and of a high-resolution HiGEM General Circulation Model control simulation, with additional analysis of a long sea level pressure reconstruction. Evidence is presented for an influence of the ocean circulation on the longer timescale variability of the NAO, which is particularly clear in the model data. As well as providing new evidence of potential predictability, these findings are shown to have implications for the reconstruction and interpretation of long climate records.

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Language(s): eng - English
 Dates: 20142014
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s00382-014-2237-y
 Degree: -

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Title: Climate Dynamics
  Other : Clim. Dyn.
Source Genre: Journal
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Publ. Info: Heidelberg : Springer-International
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 0930-7575
CoNE: https://pure.mpg.de/cone/journals/resource/954925568800