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| Titel |
ENSO components of the Atlantic multidecadal oscillation and their relation to North Atlantic interannual coastal sea level anomalies |
| VerfasserIn |
J. Park, G. Dusek |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1812-0784
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| Digitales Dokument |
URL |
| Erschienen |
In: Ocean Science ; 9, no. 3 ; Nr. 9, no. 3 (2013-06-10), S.535-543 |
| Datensatznummer |
250018077
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| Publikation (Nr.) |
 copernicus.org/os-9-535-2013.pdf |
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| Zusammenfassung |
| The El Niño Southern Oscillation (ENSO) and the Atlantic Multidecadal
Oscillation (AMO) are known to influence coastal water levels along the East
Coast of the United States. By identifying empirical orthogonal functions
(EOFs), which coherently contribute from the Multivariate ENSO Index (MEI) to
the AMO index (AMOI), we characterize both the expression of ENSO in the
unsmoothed AMOI, and coherent relationships between these indices and
interannual sea level anomalies at six stations in the Gulf of Mexico and
western North Atlantic. Within the ENSO band (2–7 yr periods) the total
contribution of MEI to unsmoothed AMOI variability is 79%. Cross
correlation suggests that the MEI leads expression of the ENSO signature in
the AMOI by six months, consistent with the mechanism of an atmospheric
bridge. Within the ENSO band, essentially all of the coupling between the
unsmoothed AMOI and sea level anomalies is the result of ENSO expression in
the AMOI. At longer periods we find decadal components of sea level
anomalies linked to the AMOI at three southern stations (Key West,
Pensacola, Charleston), but not at the northern stations (Baltimore, Boston,
Portland), with values of coherence ranging from 20 to 50%. The coherence
of MEI to coastal sea level anomalies has a different structure and is
generally weaker than that of the ENSO expressed AMOI influence, suggesting
distinct physical mechanisms are influencing sea level anomalies due to a
direct ENSO teleconnection when compared to teleconnections based on ENSO
expression in the AMOI. It is expected that applying this analysis to
extremes of sea level anomalies will reveal additional influences. |
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