Characteristics of intra-, inter-annual and decadal sea-level variability and the role of meteorological forcing: the long record of Cuxhaven
Characteristics of intra-, inter-annual and decadal sea-level variability and the role of meteorological forcing: the long record of Cuxhaven
This paper addresses the role of meteorological forcing on mean sea level (MSL) variability at the tide gauge of Cuxhaven over a period from 1871 to 2008. It is found that seasonal sea level differs significantly from annual means in both variability and trends. The causes for the observed differences are investigated by comparing to changes in wind stress, sea level pressure and precipitation. Stepwise regression is used to estimate the contribution of the different forcing factors to sea level variability. The model validation and sensitivity analyses showed that a robust and timely independent estimation of regression coefficients becomes possible if at least 60 to 80 years of data are available. Depending on the season, the models are able to explain between 54 % (spring, April to June) and 90 % (winter, January to March) of the observed variability. Most parts of the observed variability are attributed to changes in zonal wind stress, whereby the contribution of sea level pressure, precipitation and meridional wind stress is rather small but still significant. On decadal timescales, the explanatory power of local meteorological forcing is considerable weaker, suggesting that the remaining variability is attributed to remote forcing over the North Atlantic. Although meteorological forcing contributes to linear trends in some sub-periods of seasonal time series, the annual long-term trend is less affected. However, the uncertainties of trend estimation can be considerably reduced, when removing the meteorological influences. A standard error smaller than 0.5 mm/year requires 55 years of data when using observed MSL at Cuxhaven tide gauge. In contrast, a similar standard error in the meteorologically corrected residuals is reached after 32 years.
209-224
Dangendorf, Sönke
ba1c5cbe-a385-41dc-8a46-da8cd36cf19d
Mudersbach, Christoph
480f1e6e-5496-4a03-b32b-8d321b2350fe
Wahl, Thomas
6506794a-1f35-4803-b7f7-98702e57e667
Jensen, Jürgen
5188f969-c5e8-47e2-9e27-771067712095
March 2013
Dangendorf, Sönke
ba1c5cbe-a385-41dc-8a46-da8cd36cf19d
Mudersbach, Christoph
480f1e6e-5496-4a03-b32b-8d321b2350fe
Wahl, Thomas
6506794a-1f35-4803-b7f7-98702e57e667
Jensen, Jürgen
5188f969-c5e8-47e2-9e27-771067712095
Dangendorf, Sönke, Mudersbach, Christoph, Wahl, Thomas and Jensen, Jürgen
(2013)
Characteristics of intra-, inter-annual and decadal sea-level variability and the role of meteorological forcing: the long record of Cuxhaven.
Ocean Dynamics, 63 (2), .
(doi:10.1007/s10236-013-0598-0).
Abstract
This paper addresses the role of meteorological forcing on mean sea level (MSL) variability at the tide gauge of Cuxhaven over a period from 1871 to 2008. It is found that seasonal sea level differs significantly from annual means in both variability and trends. The causes for the observed differences are investigated by comparing to changes in wind stress, sea level pressure and precipitation. Stepwise regression is used to estimate the contribution of the different forcing factors to sea level variability. The model validation and sensitivity analyses showed that a robust and timely independent estimation of regression coefficients becomes possible if at least 60 to 80 years of data are available. Depending on the season, the models are able to explain between 54 % (spring, April to June) and 90 % (winter, January to March) of the observed variability. Most parts of the observed variability are attributed to changes in zonal wind stress, whereby the contribution of sea level pressure, precipitation and meridional wind stress is rather small but still significant. On decadal timescales, the explanatory power of local meteorological forcing is considerable weaker, suggesting that the remaining variability is attributed to remote forcing over the North Atlantic. Although meteorological forcing contributes to linear trends in some sub-periods of seasonal time series, the annual long-term trend is less affected. However, the uncertainties of trend estimation can be considerably reduced, when removing the meteorological influences. A standard error smaller than 0.5 mm/year requires 55 years of data when using observed MSL at Cuxhaven tide gauge. In contrast, a similar standard error in the meteorologically corrected residuals is reached after 32 years.
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Published date: March 2013
Organisations:
Energy & Climate Change Group
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Local EPrints ID: 393898
URI: http://eprints.soton.ac.uk/id/eprint/393898
ISSN: 1616-7341
PURE UUID: ca37a97a-ea0c-4513-b9ba-19731a12b0a8
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Date deposited: 09 May 2016 11:05
Last modified: 15 Mar 2024 00:13
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Author:
Sönke Dangendorf
Author:
Christoph Mudersbach
Author:
Jürgen Jensen
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