Projections of coastal flood hazards and flood potential for the U.S. Atlantic coast
Projected impacts by compound coastal flood hazards for future sea-level rise (SLR) and storm scenarios are shown for the U.S. Atlantic coast for three states (Florida, Georgia, and southern Virginia). Accompanying uncertainty for each SLR and storm scenario, indicating total uncertainty from model processes and contributing datasets, are illustrated in maximum and minimum flood potential. As described by Nederhoff and others (2024), projections were made using a system of numerical models driven by output from Global Climate Models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and a tropical cyclone database from US Army Corp of Engineers. The resulting data products include detailed flood-hazard maps along the U.S. Atlantic coast due to sea-level rise and plausible future storm conditions that consider the changing climate, hurricanes, and natural variability. In addition to sea-level rise, flood simulations run by these numerical models included dynamic contributions from tide, storm surge, wind, waves, river discharge, precipitation, and seasonal sea-level fluctuations. Outputs include impacts from combinations of SLR scenarios (0, 0.25, 0.5, 1.0, 1.5, 2.0, and 3.0 m) storm conditions including 1-year, 20-year and 100-year return interval storms and a background condition (no storm - astronomic tide and average atmospheric conditions). See Nederhoff and others (2024) for a full explanation of data and methods. Similar projections for North Carolina and South Carolina are available from Barnard and others, 2023, at https://doi.org/10.5066/P9W91314.
Complete Metadata
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| description | Projected impacts by compound coastal flood hazards for future sea-level rise (SLR) and storm scenarios are shown for the U.S. Atlantic coast for three states (Florida, Georgia, and southern Virginia). Accompanying uncertainty for each SLR and storm scenario, indicating total uncertainty from model processes and contributing datasets, are illustrated in maximum and minimum flood potential. As described by Nederhoff and others (2024), projections were made using a system of numerical models driven by output from Global Climate Models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and a tropical cyclone database from US Army Corp of Engineers. The resulting data products include detailed flood-hazard maps along the U.S. Atlantic coast due to sea-level rise and plausible future storm conditions that consider the changing climate, hurricanes, and natural variability. In addition to sea-level rise, flood simulations run by these numerical models included dynamic contributions from tide, storm surge, wind, waves, river discharge, precipitation, and seasonal sea-level fluctuations. Outputs include impacts from combinations of SLR scenarios (0, 0.25, 0.5, 1.0, 1.5, 2.0, and 3.0 m) storm conditions including 1-year, 20-year and 100-year return interval storms and a background condition (no storm - astronomic tide and average atmospheric conditions). See Nederhoff and others (2024) for a full explanation of data and methods. Similar projections for North Carolina and South Carolina are available from Barnard and others, 2023, at https://doi.org/10.5066/P9W91314. |
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| keyword |
[
"Beaches",
"CMHRP",
"Climate Change",
"ClimatologyMeteorologyAtmosphere",
"Coastal and Marine Hazards and Resources Program",
"Erosion",
"Extreme Weather",
"Floods",
"Hazards Planning",
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"floods",
"mathematical modeling",
"sea level change",
"waves"
]
|
| modified | 2024-05-23T00:00:00Z |
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| spatial | -82.11192, 26.06347, -75.32334, 37.45109 |
| theme |
[
"Geospatial"
]
|
| title | Projections of coastal flood hazards and flood potential for the U.S. Atlantic coast |
