Earth Surface Dynamics
Earth Surface Dynamics
ESurf
Articles | Volume 7, issue 2
Articles | Volume 7, issue 2
https://doi.org/10.5194/esurf-7-429-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-7-429-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 2
Research article
 | 
15 May 2019
Research article |  | 15 May 2019

Relationships between regional coastal land cover distributions and elevation reveal data uncertainty in a sea-level rise impacts model

Erika E. Lentz, Nathaniel G. Plant, and E. Robert Thieler

Viewed

Total article views: 3,390 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,477 811 102 3,390 417 133 154
  • HTML: 2,477
  • PDF: 811
  • XML: 102
  • Total: 3,390
  • Supplement: 417
  • BibTeX: 133
  • EndNote: 154
Views and downloads (calculated since 27 Nov 2018)
Cumulative views and downloads (calculated since 27 Nov 2018)

Viewed (geographical distribution)

Total article views: 3,390 (including HTML, PDF, and XML) Thereof 2,852 with geography defined and 538 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 24 Nov 2025
Download
Short summary
Our findings examine several data inputs for probabilistic regional sea-level rise (SLR) impact predictions. To predict coastal response to SLR, detailed information on the landscape, including elevation, vegetation, and/or level of development, is needed. However, we find that the inherent relationship between elevation and land cover datasets (e.g., beaches tend to be low lying) is used to reduce error in a coastal response to SLR model, suggesting new applications for areas of limited data.
Read more
Share