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

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Latest update: 20 Nov 2024
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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.
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