The University of Southampton
University of Southampton Institutional Repository

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
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.
1616-7341
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
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), 209-224. (doi:10.1007/s10236-013-0598-0).

Record type: Article

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.

This record has no associated files available for download.

More information

Published date: March 2013
Organisations: Energy & Climate Change Group

Identifiers

Local EPrints ID: 393898
URI: http://eprints.soton.ac.uk/id/eprint/393898
ISSN: 1616-7341
PURE UUID: ca37a97a-ea0c-4513-b9ba-19731a12b0a8

Catalogue record

Date deposited: 09 May 2016 11:05
Last modified: 15 Mar 2024 00:13

Export record

Altmetrics

Contributors

Author: Sönke Dangendorf
Author: Christoph Mudersbach
Author: Thomas Wahl
Author: Jürgen Jensen

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×