Articles | Volume 21, issue 7
https://doi.org/10.5194/nhess-21-2257-2021
https://doi.org/10.5194/nhess-21-2257-2021
Research article
 | 
30 Jul 2021
Research article |  | 30 Jul 2021

Deep uncertainties in shoreline change projections: an extra-probabilistic approach applied to sandy beaches

Rémi Thiéblemont, Gonéri Le Cozannet, Jérémy Rohmer, Alexandra Toimil, Moisés Álvarez-Cuesta, and Iñigo J. Losada

Viewed

Total article views: 3,842 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,544 1,183 115 3,842 179 118 154
  • HTML: 2,544
  • PDF: 1,183
  • XML: 115
  • Total: 3,842
  • Supplement: 179
  • BibTeX: 118
  • EndNote: 154
Views and downloads (calculated since 13 Jan 2021)
Cumulative views and downloads (calculated since 13 Jan 2021)

Viewed (geographical distribution)

Total article views: 3,842 (including HTML, PDF, and XML) Thereof 3,653 with geography defined and 189 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 23 Jun 2026
Download
Short summary
Sea level rise and its acceleration are projected to aggravate coastal erosion over the 21st century. Resulting shoreline projections are deeply uncertain, however, which constitutes a major challenge for coastal planning and management. Our work presents a new extra-probabilistic framework to develop future shoreline projections and shows that deep uncertainties could be drastically reduced by better constraining sea level projections and improving coastal impact models.
Share
Altmetrics
Final-revised paper
Preprint