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  Reconstructing Late Holocene North Atlantic atmospheric circulation changes using functional paleoclimate networks

Franke, J. G., Werner, J. P., Donner, R. V. (2017): Reconstructing Late Holocene North Atlantic atmospheric circulation changes using functional paleoclimate networks. - Climate of the Past, 13, 11, 1593-1608.
https://doi.org/10.5194/cp-13-1593-2017

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Franke, Jasper G.1, Autor              
Werner, J. P.2, Autor
Donner, Reik V.1, Autor              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Zusammenfassung: Obtaining reliable reconstructions of long-term atmospheric circulation changes in the North Atlantic region presents a persistent challenge to contemporary paleoclimate research, which has been addressed by a multitude of recent studies. In order to contribute a novel methodological aspect to this active field, we apply here evolving functional network analysis, a recently developed tool for studying temporal changes of the spatial co-variability structure of the Earth's climate system, to a set of Late Holocene paleoclimate proxy records covering the last two millennia. The emerging patterns obtained by our analysis are related to long-term changes in the dominant mode of atmospheric circulation in the region, the North Atlantic Oscillation (NAO). By comparing the time-dependent inter-regional linkage structures of the obtained functional paleoclimate network representations to a recent multi-centennial NAO reconstruction, we identify co-variability between southern Greenland, Svalbard, and Fennoscandia as being indicative of a positive NAO phase, while connections from Greenland and Fennoscandia to central Europe are more pronounced during negative NAO phases. By drawing upon this correspondence, we use some key parameters of the evolving network structure to obtain a qualitative reconstruction of the NAO long-term variability over the entire Common Era (last 2000 years) using a linear regression model trained upon the existing shorter reconstruction.

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 Datum: 2017
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.5194/cp-13-1593-2017
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
Organisational keyword: RD4 - Complexity Science
eDoc: 7590
Research topic keyword: Paleoclimate
Research topic keyword: Complex Networks
Working Group: Development of advanced time series analysis techniques
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Titel: Climate of the Past
Genre der Quelle: Zeitschrift, SCI, Scopus, p3, oa
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 13 (11) Artikelnummer: - Start- / Endseite: 1593 - 1608 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals78