Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 2
Articles | Volume 16, issue 2
https://doi.org/10.5194/essd-16-1121-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-1121-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 2
Data description paper
 | 
27 Feb 2024
Data description paper |  | 27 Feb 2024

Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution

Simon Treu, Sanne Muis, Sönke Dangendorf, Thomas Wahl, Julius Oelsmann, Stefanie Heinicke, Katja Frieler, and Matthias Mengel

Viewed

Total article views: 3,023 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,236 679 108 3,023 79 109 108
  • HTML: 2,236
  • PDF: 679
  • XML: 108
  • Total: 3,023
  • Supplement: 79
  • BibTeX: 109
  • EndNote: 108
Views and downloads (calculated since 14 Apr 2023)
Cumulative views and downloads (calculated since 14 Apr 2023)

Viewed (geographical distribution)

Total article views: 3,023 (including HTML, PDF, and XML) Thereof 2,949 with geography defined and 74 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Jun 2025
Download
Short summary
This article describes a reconstruction of monthly coastal water levels from 1900–2015 and hourly data from 1979–2015, both with and without long-term sea level rise. The dataset is based on a combination of three datasets that are focused on different aspects of coastal water levels. Comparison with tide gauge records shows that this combination brings reconstructions closer to the observations compared to the individual datasets.
Read more
Share
Altmetrics
Final-revised paper
Preprint