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Exposure of Coastal Protected Areas to Storm Surge and Sea Level Rise in the United States Mid-Atlantic Bight
May 21, 2026
Moghaddame-Jafari, Bahman, 2026, "Exposure of Coastal Protected Areas to Storm Surge and Sea Level Rise in the United States Mid-Atlantic Bight", https://doi.org/10.13021/ORC2020/ZZY1LT, George Mason University Dataverse, V1
This dataset contains geospatial model outputs representing coastal flood exposure associated with Hurricane Irene under two scenarios: (1) present-day conditions and (2) a sea-level rise (SLR) scenario of +1.3 m. The data are provided as polygon shapefiles derived from hydrodyna...
model_output_Irene_SeaLevelRise0p0.zip
May 21, 2026 - Exposure of Coastal Protected Areas to Storm Surge and Sea Level Rise in the United States Mid-Atlantic Bight
Shapefile as ZIP Archive - 73.5 MB - MD5: f4b8405e2f6937b769993abe8166ce31
Baseline flood exposure shapefile for Hurricane Irene under present-day sea-level conditions (0.0 m SLR). Polygon features represent areas identified as exposed or inundated based on model-derived water levels. Provided as a zipped ESRI shapefile including all required components...
model_output_Irene_SeaLevelRise1p3.zip
May 21, 2026 - Exposure of Coastal Protected Areas to Storm Surge and Sea Level Rise in the United States Mid-Atlantic Bight
Shapefile as ZIP Archive - 147.2 MB - MD5: ea6e238823a580cb652b3735ebddee95
Flood exposure shapefile for Hurricane Irene under a +1.3 m sea-level rise scenario. Polygon features represent areas identified as exposed or inundated based on model-derived water levels adjusted for SLR. Provided as a zipped ESRI shapefile including all required components (.s...
Data for: Integrated flood risk management: combining numerical modeling and community perceptions to inform strategy prioritization
May 4, 2026
Veronez, Diana; de Lima, Andre de Souza; Ferreira, Celso, 2026, "Data for: Integrated flood risk management: combining numerical modeling and community perceptions to inform strategy prioritization", https://doi.org/10.13021/ORC2020/KGGXKL, George Mason University Dataverse, V1
This dataset supports an integrated framework that combines two-dimensional flood modeling, participatory mapping, and a spatial integration approach to identify areas where modeled flood exposure intersects with community perceptions to prioritize management strategies in a coas...
asset_information.zip
May 4, 2026 - Data for: Integrated flood risk management: combining numerical modeling and community perceptions to inform strategy prioritization
Shapefile as ZIP Archive - 8.3 KB - MD5: 9050e26997edc9faf482b81a892f68a7
City_boundaries.zip
May 4, 2026 - Data for: Integrated flood risk management: combining numerical modeling and community perceptions to inform strategy prioritization
Shapefile as ZIP Archive - 22.7 KB - MD5: 6fff9c06a810976d4969a2261bf3ec8f
DEM_Digital_Elevation_model.zip
May 4, 2026 - Data for: Integrated flood risk management: combining numerical modeling and community perceptions to inform strategy prioritization
Shapefile as ZIP Archive - 5.0 MB - MD5: c801ad23268217b096c98fc84b964ba1
flood_map_current_100yr.zip
May 4, 2026 - Data for: Integrated flood risk management: combining numerical modeling and community perceptions to inform strategy prioritization
Shapefile as ZIP Archive - 7.3 MB - MD5: d8c6fd7a532c568511e382dd173fd439
flood_map_current_10yr.zip
May 4, 2026 - Data for: Integrated flood risk management: combining numerical modeling and community perceptions to inform strategy prioritization
Shapefile as ZIP Archive - 4.0 MB - MD5: 6708fe1a18768dcf6998a083b7360966
flood_map_current_2y.zip
May 4, 2026 - Data for: Integrated flood risk management: combining numerical modeling and community perceptions to inform strategy prioritization
Shapefile as ZIP Archive - 2.0 MB - MD5: 16f33a56a47a6ea42b70c9b4b694761e
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