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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)

Metadata Updated: November 1, 2025

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.

Access & Use Information

License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Date 2025-09-30T13:04:51Z
Metadata Created Date February 1, 2025
Metadata Updated Date November 1, 2025
Reference Date(s) September 11, 2024 (publication), October 18, 2024 (revision)
Frequency Of Update asNeeded

Metadata Source

Harvested from NOAA/NESDIS/ncei/accessions

Graphic Preview

Preview graphic

Additional Metadata

Resource Type Model
Metadata Date 2025-09-30T13:04:51Z
Metadata Created Date February 1, 2025
Metadata Updated Date November 1, 2025
Reference Date(s) September 11, 2024 (publication), October 18, 2024 (revision)
Responsible Party (Point of Contact)
Contact Email
Guid gov.noaa.nodc:0295695
Access Constraints Cite as: Hummel, Michelle A.; Schroder, Klaus; Befus, Kevin M.; Barnard, Patrick; Buckel, Christine; Mauney, Christina (2024). 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). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/cdy1-d728. Accessed [date]., Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
Bbox East Long -118.342259
Bbox North Lat 34.079834
Bbox South Lat 33.90866
Bbox West Long -118.553145
Coupled Resource
Frequency Of Update asNeeded
Graphic Preview Description Preview graphic
Graphic Preview File https://www.ncei.noaa.gov/access/metadata/landing-page/bin/gfx?id=gov.noaa.nodc:0295695
Graphic Preview Type PNG
Harvest Object Id b1fbf336-b360-4b0f-b55d-809e05383092
Harvest Source Id c084a438-6f6b-470d-93e0-16aeddb9f513
Harvest Source Title NOAA/NESDIS/ncei/accessions
Licence accessLevel: Public
Lineage
Metadata Language eng
Metadata Type geospatial
Old Spatial {"type": "Polygon", "coordinates": [[[-118.553145, 33.90866], [-118.342259, 33.90866], [-118.342259, 34.079834], [-118.553145, 34.079834], [-118.553145, 33.90866]]]}
Progress completed
Spatial Data Service Type
Spatial Reference System
Spatial Harvester True
Temporal Extent Begin 2019-10-01
Temporal Extent End 2023-12-30

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