{
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    "landingPage": "",
    "title": "NCCOS Competitive Research Program (CRP) Assessment: Future surface water predictions with sea level rise in Santa Monica Bay, California (NCEI Accession 0295695)",
    "description": "This dataset contains predictions of surface water depth (m) under 200 cm (2 m or 6.6 ft) of sea level rise by 2100, three storm scenarios and estimates of associated socioeconomic impacts. These predictions were completed in the area of Santa Monica Bay, California, specifically Venice Beach and Marina Del Rey.  To better understand the impact of natural and nature based features (NNBFs) and conventional infrastructure to reduce sea level rise-driven flood hazards, the model domain included ten different modeled infrastructure types.\n\nSea Level Rise scenario: 200 cm (2 m or 6.6 ft) by 2100. Storm scenarios modeled are: no storm, annual storm event, 20-year storm event, 100-year storm event.\nModeled infrastructure types: no action (no change from current), targeted dunes, dunes in locations with elevation below 4 m NAVD88, dunes in locations with elevation below 5m NAVD88, sea wall, sluice gate, sluice gate + targeted dune,  sluice gate + dunes in locations with elevation below 4 m NAVD88, sluice gate + dunes in locations with elevation below 5 m NAVD88, sluice gate + sea wall.\n\nThe following physical and socio-economic impacts were calculated for each modeled infrastructure type within each sea level rise scenario: flood area, flood volume, total economic damages, residential economic damages, nonresidential economic damages, total displaced population, displaced child population, displaced senior population, displaced minority population, displaced low-income population, low construction cost estimate, high construction cost estimate, benefit-cost ratio based on low construction cost estimate, benefit-cost ratio based on high construction cost estimate.\n\nThe file naming convention is a combination of sea-level rise height (in cm), the storm scenario, and the modeled infrastructure type. For additional details, please see the data files section. See Schroder et al. (2022) for additional method details.",
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    "bureauCode": [
        "010:04"
    ],
    "modified": "2024-08-06T09:52:23.877Z",
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        "@type": "org:Organization",
        "name": "Your Publisher"
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    "theme": "",
    "keyword": [
        "0295695",
        "SOCIOECONOMIC",
        "model output",
        "US DOC; NOAA; NOS; National Centers for Coastal Ocean Science",
        "US DOC; NOAA; NOS; National Centers for Coastal Ocean Science",
        "Coastal Waters of California",
        "North Pacific Ocean",
        "oceanography",
        "DOC\/NOAA\/NOS\/NCCOS > National Centers for Coastal Ocean Science, National Ocean Service, NOAA, U.S. Department of Commerce",
        "Exploring Ecosystem and Community Vulnerability to Surface and Subsurface Flooding with Sea Level Rise and Adaptation Strategies in California",
        "US DOC; NOAA; NOS; NCCOS; Competitive Research Program (CRP)",
        "EARTH SCIENCE > HUMAN DIMENSIONS > SOCIOECONOMICS",
        "Effects of Sea Level Rise (ESLR)",
        "NCCOS Research Data Type > Derived Data Product",
        "NCCOS Research Data Type > Geospatial",
        "NCCOS Research Data Type > Model",
        "NCCOS Research Priority > Coastal Change: Vulnerability, Mitigation, and Restoration",
        "NCCOS Research Topic > Climate and Impacts on Ecosystems",
        "NCCOS Research Topic > Natural and Nature-based Features",
        "NCCOS Research Topic > Vulnerability and Risk Assessment",
        "Sea Level Rise (SLR)",
        "cost:benefit ratio",
        "economic impact",
        "hydrodynamic modeling",
        "inundation",
        "surface water",
        "Coastal Storm Modeling System (CoSMoS)",
        "model",
        "OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN",
        "Marina Del Rey, CA",
        "NCCOS Research Location > Region > Pacific Ocean",
        "Santa Monica Bay, CA",
        "Venice, CA",
        "environment",
        "society",
        "oceans"
    ]
}