Articles | Volume 16, issue 7
https://doi.org/10.5194/essd-16-3345-2024
https://doi.org/10.5194/essd-16-3345-2024
Data description article
 | 
24 Jul 2024
Data description article |  | 24 Jul 2024

Insights from a topo-bathymetric and oceanographic dataset for coastal flooding studies: the French Flooding Prevention Action Program of Saint-Malo

Léo Seyfried, Laurie Biscara, Héloïse Michaud, Fabien Leckler, Audrey Pasquet, Marc Pezerat, and Clément Gicquel

Viewed

Total article views: 4,806 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,250 1,374 182 4,806 200 219
  • HTML: 3,250
  • PDF: 1,374
  • XML: 182
  • Total: 4,806
  • BibTeX: 200
  • EndNote: 219
Views and downloads (calculated since 11 Jan 2024)
Cumulative views and downloads (calculated since 11 Jan 2024)

Viewed (geographical distribution)

Total article views: 4,806 (including HTML, PDF, and XML) Thereof 4,754 with geography defined and 52 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 09 Sep 2026
Download
Short summary
In Saint-Malo, France, an initiative to enhance marine submersion prevention began in 2018. Shom conducted an extensive sea campaign, mapping the bay's topography and exploring coastal processes. High-resolution data improve knowledge of the interactions between waves, tide and surge and determine processes responsible for submersion. Beyond science, these findings contribute crucially to a local warning system, providing a tangible solution to protect the community from coastal threats.
Share
Altmetrics
Final-revised paper
Preprint