New LiDAR‐Based Elevation Model Shows Greatest Increase in Global Coastal Exposure to Flooding to Be Caused by Early‐Stage Sea‐Level Rise

Author:

Vernimmen Ronald1ORCID,Hooijer Aljosja23

Affiliation:

1. Data for Sustainability Axel The Netherlands

2. Deltares Inland Water Systems Unit Delft The Netherlands

3. NUS Environmental Research Institute (NERI) National University of Singapore Singapore Singapore

Abstract

AbstractThe latest projections indicate that sea‐level rise (SLR) is certain to exceed 2 m in coming centuries, and a rise by 4 m is considered possible. Radar‐based land elevation models applied to date suggest that the increase of area below mean sea level, that is potentially exposed to permanent flooding, will accelerate as SLR proceeds, being relatively limited initially. However, applying new and more accurate satellite LiDAR elevation data we find the opposite pattern, with the fastest increase in the area of exposed land occurring in the early stages of SLR. In one‐third of countries most of this increase will be caused by the first meter of SLR and in nearly all within the first 2 m. We conclude that in many regions the time available to prepare for increased exposure to flooding may be considerably less than assumed to date, and that better elevation data will support timely preparations. The global LiDAR lowland DTM (GLL_DTM_v2) elevation data set developed for this assessment is available in the public domain.

Publisher

American Geophysical Union (AGU)

Subject

Earth and Planetary Sciences (miscellaneous),General Environmental Science

Reference44 articles.

1. ASTER Global Digital Elevation Model (GDEM) and ASTER Global Water Body Dataset (ASTWBD)

2. AHN3. (2019). Retrieved fromhttps://www.ahn.nl

3. AHN3. (2022).Elevation accuracy (in Dutch). Retrieved fromhttps://www.ahn.nl/kwaliteitsbeschrijving

4. Airbus. (2020).Copernicus DEM product handbook. Retrieved fromhttps://spacedata.copernicus.eu/documents/20126/0/GEO1988-CopernicusDEM-SPE-002_ProductHandbook_I3.0.pdf

5. Correction: Brodzik, M.J., et al. EASE-Grid 2.0: Incremental but Significant Improvements for Earth-Gridded Data Sets. ISPRS International Journal of Geo-Information 2012, 1, 32–45

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