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A team of USGS researchers and partners has integrated oceanographic, coastal engineering, ecological, and geospatial data and tools to model the complex impacts of sea-level rise inundation and storm-driven coastal flooding across the Hawaiian, Mariana, and American Samoan Islands. 

Colored maps showing output examples of the SWAN model
Color maps showing output examples of the Simulating Waves Nearshore (SWAN) model and how 1 of the 999 wave conditions was dynamically downscaled to the 200-meter (m) grid scale offshore West Maui, Hawaiʻi. A, The 5-kilometer (km) resolution Hawaiian Chain model. B, The 1-km resolution Maui Nui model embedded in the Hawaiian Chain model. C, The 200-m resolution West Maui model embedded in the Maui Nui model. Colors indicate significant wave height, in meters.

The research, which models three storm scenarios and seven sea-level rise scenarios, yielded comprehensive data that offer a precise understanding of how, when, and where storm-induced flooding hazards are likely to affect the vulnerable coastal communities in these Pacific Islands. The findings can inform and guide U.S. Federal, State, territorial, commonwealth, and local governments in their efforts to mitigate the impacts of climate change on these regions. 

"By combining diverse scientific methodologies and tools, we have created a robust modeling infrastructure that not only identifies the potential hazards but also pinpoints the specific locations and timing of the impacts in spatially explicit, high-resolution assessments,” said Curt Storlazzi, USGS Research Geologist and lead author of the study. “This information is vital for developing effective strategies to save lives and protect property in these predominantly native and historically underserved communities in the face of rising sea levels and increasing storm intensities." 

The models provide a nuanced perspective on the unique challenges faced by the Hawaiian, Mariana, and American Samoan Islands, taking into account their distinctive geographical and ecological characteristics. The integration of ecological data considers the influence of ecosystems on coastal hazards, further enhancing the study's applicability. 

This study builds on a growing body of research supporting climate change adaptation, particularly in island nations facing acute threats from sea-level rise and extreme weather events. The detailed data generated by the study can empower decision-makers to formulate policies that are not only scientifically grounded but also tailor-made to the specific needs of each island community.


Read the study: Forecasting storm-induced coastal flooding for 21st century sea-level rise scenarios in the Hawaiian, Mariana, and American Samoan Islands

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