Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 2.281 IF 2.281
  • IF 5-year value: 2.693 IF 5-year
    2.693
  • CiteScore value: 2.43 CiteScore
    2.43
  • SNIP value: 1.193 SNIP 1.193
  • SJR value: 0.965 SJR 0.965
  • IPP value: 2.31 IPP 2.31
  • h5-index value: 40 h5-index 40
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 73 Scimago H
    index 73
Volume 15, issue 6 | Copyright
Nat. Hazards Earth Syst. Sci., 15, 1437-1447, 2015
https://doi.org/10.5194/nhess-15-1437-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 30 Jun 2015

Research article | 30 Jun 2015

Identification of storm surge events over the German Bight from atmospheric reanalysis and climate model data

D. J. Befort1,2, M. Fischer1, G. C. Leckebusch1,2, U. Ulbrich1, A. Ganske4, G. Rosenhagen3, and H. Heinrich4 D. J. Befort et al.
  • 1Institute of Meteorology, Freie Universität Berlin, Berlin, Germany
  • 2School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
  • 3Deutscher Wetterdienst (DWD), Hamburg, Germany
  • 4German Maritime and Hydrographic Agency (BSH), Hamburg, Germany

Abstract. A new procedure for the identification of storm surge situations for the German Bight is developed and applied to reanalysis and global climate model data. This method is based on the empirical approach for estimating storm surge heights using information about wind speed and wind direction. Here, we hypothesize that storm surge events are caused by high wind speeds from north-westerly direction in combination with a large-scale wind storm event affecting the North Sea region. The method is calibrated for ERA-40 data, using the data from the storm surge atlas for Cuxhaven. It is shown that using information of both wind speed and direction as well as large-scale wind storm events improves the identification of storm surge events.

To estimate possible future changes of potential storm surge events, we apply the new identification approach to an ensemble of three transient climate change simulations performed with the ECHAM5/MPIOM model under A1B greenhouse gas scenario forcing. We find an increase in the total number of potential storm surge events of about 12 % [(2001–2100)–(1901–2000)], mainly based on changes of moderate events. Yearly numbers of storm surge relevant events show high interannual and decadal variability and only one of three simulations shows a statistical significant increase in the yearly number of potential storm surge events between 1900 and 2100. However, no changes in the maximum intensity and duration of all potential events is determined. Extreme value statistic analysis confirms no frequency change of the most severe events.

Publications Copernicus
Download
Citation
Share