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NCCOS Competitive Research Program (CRP) Assessment: Future surface water predictions with sea level rise and shoreline adaptation in Santa Monica Bay, California (NCEI Accession 0295695)

Published by NOAA National Centers for Environmental Information | U.S. Census Bureau, Department of Commerce | Catalog Last Checked: April 12, 2026 at 04:44 PM | Dataset Last Updated: October 18, 2024 at 12:00 AM
This dataset contains predictions of surface water depth (m) under 200 cm (2 m or 6.6 ft) of sea level rise and three storm scenarios by 2100. Estimates of associated socioeconomic impacts are also included. These predictions were completed in the area of Santa Monica Bay, California, specifically Venice Beach and Marina Del Rey. The model domain included ten different modeled infrastructure types to better understand the impact of natural and nature-based features (NNBFs) and conventional infrastructure to reduce sea level rise-driven flood hazards. Sea level rise scenario: 200 cm (2 m or 6.6 ft) by 2100. Storm scenarios: no storm, annual storm event, 20-year storm event, 100-year storm event. Modeled 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 5 m 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. The following physical and socio-economic impacts were calculated for each modeled infrastructure type within each storm 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. The 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.

Resources

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  • NCEI Dataset Landing Page

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  • Descriptive Information

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  • HTTPS

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  • FTP

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  • https://doi.org/10.3389/fmars.2022.1052373

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  • https://doi.org/10.1038/s41598-019-40742-z

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  • https://coastalscience.noaa.gov/project/exploring-ecosystem-and-community-vulnerability-to-surface-and-subsurface-flooding-in-california/

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  • https://storymaps.arcgis.com/stories/ca6d10de4caf4991914079c84ba865b2

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  • https://experience.arcgis.com/experience/7bf8c766cb6a46f493c858ef1e558376

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  • GCMD Keyword Forum Page

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  • NCEI Contact Information

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0295695 SOCIOECONOMIC model output NOAA National Centers for Coastal Ocean Science NOAA National Centers for Coastal Ocean Science Coastal Waters of California North Pacific Ocean oceanography

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description This dataset contains predictions of surface water depth (m) under 200 cm (2 m or 6.6 ft) of sea level rise and three storm scenarios by 2100. Estimates of associated socioeconomic impacts are also included. These predictions were completed in the area of Santa Monica Bay, California, specifically Venice Beach and Marina Del Rey. The model domain included ten different modeled infrastructure types to better understand the impact of natural and nature-based features (NNBFs) and conventional infrastructure to reduce sea level rise-driven flood hazards. Sea level rise scenario: 200 cm (2 m or 6.6 ft) by 2100. Storm scenarios: no storm, annual storm event, 20-year storm event, 100-year storm event. Modeled 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 5 m 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. The following physical and socio-economic impacts were calculated for each modeled infrastructure type within each storm 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. The 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.
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identifier https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Archived_19115/tl_2023_37025_linearwater.shp.iso.xml
issued 2024-07-29T00:00:00.000+00:00
keyword 
                                            [
  "0295695",
  "SOCIOECONOMIC",
  "model output",
  "NOAA National Centers for Coastal Ocean Science",
  "NOAA 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",
  "(NCCOS) Competitive Research Program (CRP) project NA19NOS4780177",
  "Effects of Sea Level Rise (ESLR)",
  "Exploring Ecosystem and Community Vulnerability to Surface and Subsurface Flooding with Sea Level Rise and Adaptation Strategies in California",
  "EARTH SCIENCE > HUMAN DIMENSIONS > SOCIOECONOMICS",
  "Derived Data Product",
  "Geospatial",
  "Model",
  "Region > Pacific Ocean",
  "U.S. States and Territories > California",
  "Coastal Change: Vulnerability and Risk Assessment",
  "Climate Impacts on Ecosystems",
  "Natural and Nature-based Features",
  "Vulnerability and Risk Assessment",
  "Effects of Sea Level Rise (ESLR)",
  "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",
  "Waterbodies > Pacific Ocean",
  "Marina Del Rey, CA",
  "Santa Monica Bay, CA",
  "Venice, CA",
  "T0GWTC"
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language 
                                            []
license https://creativecommons.org/publicdomain/zero/1.0/
modified 2024-10-18T00:00:00.000+00:00
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rights otherRestrictions
spatial -118.342259,33.90866,-118.553145,34.079834
temporal 2019-10-01T00:00:00+00:00/2023-12-30T00:00:00+00:00
title NCCOS Competitive Research Program (CRP) Assessment: Future surface water predictions with sea level rise and shoreline adaptation in Santa Monica Bay, California (NCEI Accession 0295695)

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