2013
DOI: 10.1007/s10236-013-0598-0
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Characteristics of intra-, inter-annual and decadal sea-level variability and the role of meteorological forcing: the long record of Cuxhaven

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Cited by 62 publications
(96 citation statements)
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“…The study showed in addition that the periods of high storm activity furthermore coincided with positive decadal trends in the North Atlantic Oscillation (NAO) index (Hurrell 1995). A similar NAO link and strong decadal trends are also visible in extreme sea levels in the southeastern North Sea (Dangendorf et al 2013a;Mudersbach et al 2013).…”
Section: Introductionmentioning
confidence: 67%
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“…The study showed in addition that the periods of high storm activity furthermore coincided with positive decadal trends in the North Atlantic Oscillation (NAO) index (Hurrell 1995). A similar NAO link and strong decadal trends are also visible in extreme sea levels in the southeastern North Sea (Dangendorf et al 2013a;Mudersbach et al 2013).…”
Section: Introductionmentioning
confidence: 67%
“…The largest contribution to the observed variability in the storm surge record can be found on time scales up to a few decades. From a variety of studies, it is well known that especially during the winter season a considerable fraction of sea level variability can be explained by the NAO (e.g., Yan et al 2004;Dangendorf et al 2012). It is also obvious that this relationship does not only exist for mean but also for extreme sea levels (Woodworth et al 2007;Dangendorf et al 2013a).…”
Section: A Storm Surge Trends and Variabilitymentioning
confidence: 99%
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“…On a local scale its temporal changes are the product of a couple of (inherently coupled) processes such as volume and mass changes due to (i) exchange of water with the atmosphere and the continents and (ii) mass redistribution due to changing winds and sea level pressure [27][28][29][30], and vertical land motion [32,33]. These variations vary locally and can be as large as ∼ ±80cm on a inter-monthly or ∼ ±50cm on an inter-annual time scale.…”
Section: Analysis Of the Sea Level Datamentioning
confidence: 99%