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Projected coastal flooding extents for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in American Samoa

Dates

Publication Date
Start Date
2023-01-03
End Date
2023-04-01

Citation

Alkins, K.C., Lasserre, G., Reguero, B.G, Storlazzi, C.D., and Fregoso, T., 2024, Projected coastal flooding extents and depths for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Hawaiian, Mariana, and American Samoan Islands (ver. 2.0, September 2024): U.S. Geological Survey data release, https://doi.org/10.5066/P9RIQ7S7.

Summary

This data release provides flooding extent polygons based on sea-level rise and wave-driven total water levels for the coast of American Samoa's most populated islands of Tutuila, Ofu-Olosega, and Tau. Oceanographic, coastal engineering, ecologic, and geospatial data and tools were combined to evaluate the increased risks of storm-induced coastal flooding due to climate change and sea-level rise. We followed risk-based valuation approaches to map flooding due to waves and storm surge at 10-m2 resolution along these islands coastlines for annual (1-year), 20-year, and 100-year return-interval storm events and +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m sea-level rise scenarios.

Contacts

Attached Files

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Projections_FloodExtents_Ofu-Olosega.zip 126.02 KB application/zip
Projections_FloodExtents_Tau.zip 124.27 KB application/zip
Projections_FloodExtents_Tutuila.zip 2.33 MB application/zip

Purpose

These flood extent files were created to evaluate the increased risks of storm-induced coastal flooding in the most populated American Samoan islands of Tutuila, Ofu-Olosega, and Tau due to climate change and sea-level rise. The data are intended to provide a spatially explicit, rigorous valuation of how, where, and when climate change and sea-level rise increase coastal storm-induced flooding to help identify areas where management and/or restoration could potentially help reduce the risk to, and increase the resiliency of, the coastal communities in American Samoa. The data can be used with geographic information systems (GIS) software for research purposes. The methods follow a sequence of steps derived from Storlazzi and others (2019, 2021) and Reguero and others (2021) that integrate physics-based oceanographic and coastal engineering modeling, along with ecologic and geospatial data and tools, to quantify the role of climate change and sea-level rise in increasing coastal flooding hazards.

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