The long-term variability of extreme sea levels in the German Bight

Lang, Andreas; Mikolajewicz, Uwe

doi:https://doi.org/10.5194/os-15-651-2019

Articles | Volume 15, issue 3

https://doi.org/10.5194/os-15-651-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/os-15-651-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 3

Research article

|

05 Jun 2019

Research article |

| 05 Jun 2019

The long-term variability of extreme sea levels in the German Bight

Andreas Lang and Uwe Mikolajewicz

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Final revised paper (published on 05 Jun 2019)
Supplement to the final revised paper
Preprint (discussion started on 06 Mar 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: 'review', Anonymous Referee #1, 27 Mar 2019
- AC1: 'Authors' response', Andreas Lang, 15 May 2019
RC2: 'review of os-2019-19', Anonymous Referee #2, 28 Mar 2019
- AC3: 'Authors' response', Andreas Lang, 15 May 2019
RC3: 'Review of Lang & Mikolajewicz, 2019', Anonymous Referee #3, 11 Apr 2019
- AC2: 'Authors' response', Andreas Lang, 15 May 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Andreas Lang on behalf of the Authors (15 May 2019) Author's response Manuscript

ED: Publish subject to technical corrections (18 May 2019) by Markus Meier

AR by Andreas Lang on behalf of the Authors (20 May 2019) Manuscript

Short summary

Here we investigate the occurrence of extreme storm surges in the southern German Bight and their associated large-scale forcing mechanisms using climate model simulations covering the last 1000 years. We find that extreme storm surges are characterized by a large internal variability that masks potential links to external climate forcing or background sea level fluctuations; existing estimates of extreme sea levels based on short data records thus fail to account for their full variability.