gov.noaa.nodc:0295695 eng utf8 model NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NOAA Contact Information Information for contacts at NCEI. information custodian 2025-12-16T13:14:55Z ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) 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) 2024-09-11 publication 2024-10-18 revision 2024-07-29 creation International DOI Foundation (IDF) 10.25921/cdy1-d728 NOAA National Centers for Environmental Information gov.noaa.nodc:0295695 NCEI Archive Management System 0295695 NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NCEI Contact Information Information for contacts at NCEI. information publisher NOAA National Centers for Coastal Ocean Science (NCCOS) https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information resourceProvider Befus, Kevin University of Arkansas kmbefus@uark.edu principalInvestigator Hummel, Michelle University of Texas at Arlington (UTA) michelle.hummel@uta.edu https://www.uta.edu/ HTTPS University of Texas at Arlington (UTA) website Institution web page information principalInvestigator Hummel, Michelle University of Texas at Arlington (UTA) michelle.hummel@uta.edu https://www.uta.edu/ HTTPS University of Texas at Arlington (UTA) website Institution web page information pointOfContact Meckley, Trevor NOAA National Centers for Coastal Ocean Science, Competitive Research Program (CRP) trevor.meckley@noaa.gov pointOfContact Christine Buckel NOAA National Centers for Coastal Ocean Science (NCCOS) christine.addison@noaa.gov https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information pointOfContact NOAA National Centers for Coastal Ocean Science (NCCOS) NCCOS Data Manager nccos.data@noaa.gov https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information pointOfContact Hummel, Michelle A. University of Texas at Arlington https://www.uta.edu/ HTTPS University of Texas at Arlington (UTA) website Institution web page information author Schroder, Klaus University of Texas at Arlington https://www.uta.edu/ HTTPS University of Texas at Arlington (UTA) website Institution web page information author Befus, Kevin M. University of Arkansas author Barnard, Patrick US Geological Survey https://www.usgs.gov/ HTTPS United States Geological Survey (USGS) website Institution web page information author Buckel, Christine NOAA National Centers for Coastal Ocean Science https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information author Mauney, Christina NOAA National Centers for Coastal Ocean Science https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information author NOAA National Centers for Coastal Ocean Science (NCCOS) https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information contributor tableDigital 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. These results are from a modeling project that provides resource managers and planners within coastal California with the tools to better understand future surface water conditions under various sea level rise scenarios in combination with modeled infrastructure scenarios. This multi-disciplinary project, led by the University of Arkansas, includes project team members from the University of Texas at Arlington and the University of Southern California Sea Grant. The data in this accession were funded by the NOAA National Centers for Coastal Ocean Science (NCCOS) Competitive Research Program (CRP) under award #NA19NOS4780177 to University of Wyoming. Funding Agency: NOAA National Centers for Coastal Ocean Science, Competitive Research Program (CRP) Funding Agency: NOAA National Centers for Coastal Ocean Science, Competitive Research Program (CRP) under award #NA19NOS4780177 to University of Wyoming Funding Agency: NOAA National Centers for Coastal Ocean Science University of Wyoming University of Arkansas University of Texas at Arlington University of Southern California Sea Grant completed historicalArchive NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NCEI Contact Information Information for contacts at NCEI. information pointOfContact asNeeded NCEI Accession 0295695 was revised and a new version of the archival package was published. Updates to existing archival packages may provide additional files or replace obsolete files. The latest version contains the most complete and up-to-date representation of this archival information package. All of the files received prior to this update are available in the preceding version of this accession. Please see journal.txt in the /about directory for additional details on changes made. https://www.ncei.noaa.gov/access/metadata/landing-page/bin/gfx?id=gov.noaa.nodc:0295695 Preview graphic PNG 0295695 NCEI ACCESSION NUMBER 2024-09-27 publication SOCIOECONOMIC theme NODC DATA TYPES THESAURUS model output theme NODC OBSERVATION TYPES THESAURUS NOAA National Centers for Coastal Ocean Science dataCentre NODC COLLECTING INSTITUTION NAMES THESAURUS NOAA National Centers for Coastal Ocean Science dataCentre NODC SUBMITTING INSTITUTION NAMES THESAURUS Coastal Waters of California North Pacific Ocean place NODC SEA AREA NAMES THESAURUS oceanography theme WMO_CategoryCode 2012-09-15 publication DOC/NOAA/NOS/NCCOS > National Centers for Coastal Ocean Science, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2026 revision 23 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian (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 project Provider Project Names EARTH SCIENCE > HUMAN DIMENSIONS > SOCIOECONOMICS theme Global Change Master Directory (GCMD) Science Keywords 2026 revision 23 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Derived Data Product Geospatial Model theme NCCOS Research Data Types Region > Pacific Ocean U.S. States and Territories > California theme NCCOS Research Location Coastal Change: Vulnerability and Risk Assessment theme NCCOS Research Priority Climate Impacts on Ecosystems Natural and Nature-based Features Vulnerability and Risk Assessment theme NCCOS Research Topic Effects of Sea Level Rise (ESLR) Sea Level Rise (SLR) cost:benefit ratio economic impact hydrodynamic modeling inundation surface water theme Provider Keywords Coastal Storm Modeling System (CoSMoS) model instrument Provider Instruments OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN place Global Change Master Directory (GCMD) Location Keywords 2026 revision 23 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Waterbodies > Pacific Ocean place NCCOS Regions of Study Marina Del Rey, CA Santa Monica Bay, CA Venice, CA place Provider Place Names T0GWTC Send2NCEI Submission Package ID accessLevel: Public otherRestrictions 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]. Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives. otherRestrictions 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. Schroder, K., Hummel, M. A., Befus, K. M., & Barnard, P. L. (2022). An integrated approach for physical, economic, and demographic evaluation of coastal flood hazard adaptation in Santa Monica Bay, California. Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.1052373 2022-11-24 publication International DOI Foundation (IDF) https://doi.org/10.3389/fmars.2022.1052373 https://doi.org/10.3389/fmars.2022.1052373 HTTPS https://doi.org/10.3389/fmars.2022.1052373 Related Journal Article information Schroder, Klaus author Hummel, Michelle A. author Befus, Kevin M. author Barnard, Patrick L. author Frontiers Media SA publisher documentDigital Front. Mar. Sci. 9 ISSN 2296-7745 crossReference sciencePaper Barnard, P. L., Erikson, L. H., Foxgrover, A. C., Hart, J. A. F., Limber, P., O’Neill, A. C., van Ormondt, M., Vitousek, S., Wood, N., Hayden, M. K., & Jones, J. M. (2019). Dynamic flood modeling essential to assess the coastal impacts of climate change. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-40742-z 2019-03-13 publication International DOI Foundation (IDF) https://doi.org/10.1038/s41598-019-40742-z https://doi.org/10.1038/s41598-019-40742-z HTTPS https://doi.org/10.1038/s41598-019-40742-z Related Journal Article information Barnard, Patrick L. United States Geological Survey https://www.usgs.gov/ HTTPS United States Geological Survey (USGS) website Institution web page information author Erikson, Li H. Pacific Coastal and Marine Science Center author Foxgrover, Amy C. author Hart, Juliette A. Finzi author Limber, Patrick author O’Neill, Andrea C. US Geological Survey https://www.usgs.gov/ HTTPS United States Geological Survey (USGS) website Institution web page information author van Ormondt, Maarten Deltares author Vitousek, Sean U.S. Geological Survey https://www.usgs.gov/ HTTPS United States Geological Survey (USGS) website Institution web page information author Wood, Nathan U.S. Geological Survey https://www.usgs.gov/ HTTPS United States Geological Survey (USGS) website Institution web page information author Hayden, Maya K. author Jones, Jeanne M. US Geological Survey https://www.usgs.gov/ HTTPS United States Geological Survey (USGS) website Institution web page information author Springer Science and Business Media LLC publisher documentDigital Sci Rep 9(1) ISSN 2045-2322 crossReference sciencePaper NCCOS Project, Exploring Ecosystem and Community Vulnerability to Surface and Subsurface Flooding with Sea Level Rise and Adaptation Strategies in California 2019 publication https://coastalscience.noaa.gov/project/exploring-ecosystem-and-community-vulnerability-to-surface-and-subsurface-flooding-in-california/ HTTPS https://coastalscience.noaa.gov/project/exploring-ecosystem-and-community-vulnerability-to-surface-and-subsurface-flooding-in-california/ NCCOS Project Webpage information NOAA National Centers for Coastal Ocean Science (NCCOS) https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information publisher crossReference program Sea Level Rise, Groundwater, and Adaptation Storymap 2024-03-11 publication https://storymaps.arcgis.com/stories/ca6d10de4caf4991914079c84ba865b2 HTTPS https://storymaps.arcgis.com/stories/ca6d10de4caf4991914079c84ba865b2 NCCOS Project Storymap information USC Sea Grant publisher crossReference program Data Explorer: Inundation and Impacts Viewer 2024 publication https://experience.arcgis.com/experience/7bf8c766cb6a46f493c858ef1e558376 HTTPS https://experience.arcgis.com/experience/7bf8c766cb6a46f493c858ef1e558376 NCCOS Data Explorer Viewer information ESRI publisher crossReference program eng; USA utf8 environment society oceans -118.553145 -118.342259 33.90866 34.079834 2019-10-01 2023-12-30 Methods: This dataset was developed using an integrated modeling framework that simulates the physical, economic, and demographic impacts and benefits of gray and NNBF adaptation strategies in the context of coastal flooding. Our framework consists of a physics-based numerical model, the Coastal Storm Modeling System (CoSMoS) (Barnard et al., 2019), that simulates coastal hydrodynamics and shoreline flooding associated with a range of sea level rise and storm scenarios and adaptation alternatives identified through stakeholder workshops. The hydrodynamic outputs are then coupled with site-specific building stock data and demographic information to determine the economic and social impacts of each alternative. See Schroder et al. (2022) for additional method details. NOAA National Centers for Environmental Information +1-301-713-3277 ncei.info@noaa.gov pointOfContact In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media. Contact NCEI for other distribution options and instructions. GeoTIFF CSV Shapefile 28174.732 https://doi.org/10.25921/cdy1-d728 HTTPS Web browser NCEI Dataset Landing Page Navigate directly to the URL for a descriptive web page with download links. information https://www.ncei.noaa.gov/archive/accession/oas/295695 HTTPS Web browser Descriptive Information Navigate directly to the URL for a descriptive web page with download links. information https://www.ncei.noaa.gov/archive/accession/download/295695 HTTPS Web browser HTTPS Navigate directly to the URL for data access and direct download. download ftp://ftp-oceans.ncei.noaa.gov/nodc/archive/arc0231/0295695/ FTP Any FTP client FTP These data are available through the File Transfer Protocol (FTP). FTP is no longer supported by most internet browsers. You may copy and paste the FTP link to the data into an FTP client (e.g., FileZilla or WinSCP). download dataset NCEI Accession 0295695 v1.1 was published. Access to this revision of this accession has been limited, and full and open access is not available at this time. As acknowledged in NOAA Administrative Order 212-15, some data archived at NCEI may have specific access constraints that are mutually agreed upon and documented by the Data Producer / Data Provider and NCEI. 2024-09-11T16:52:36Z NCEI Accession 0295695 was revised and v2.2 was published. Updates were received for this dataset. These updates were copied into the data/0-data/ directory of this accession. These updates may provide additional files or replace obsolete files. This version contains the most complete and up-to-date representation of this archival information package. All of the files received prior to this update are available in the preceding version of this accession. 2024-10-18T16:12:34Z NCEI Accession 0295695 v2.2 publication https://www.ncei.noaa.gov/archive/accession/0295695/2.2 HTTPS NCEI Accession 0295695 v2.2 published 2024-10-18T16:12:34Z download model Parameter or Variable: hydrodynamic modeling (calculated); Units: n/a; Observation Category: model output; Sampling Instrument: model Parameter or Variable: SLR (calculated); Units: n/a; Observation Category: model output; Sampling Instrument: model Parameter or Variable: sea level rise (calculated); Units: n/a; Observation Category: model output; Sampling Instrument: model Parameter or Variable: inundation (calculated); Units: n/a; Observation Category: model output; Sampling Instrument: model Parameter or Variable: cost:benefit ratio (calculated); Units: n/a; Observation Category: model output; Sampling Instrument: model Parameter or Variable: economic impact (calculated); Units: n/a; Observation Category: model output; Sampling Instrument: model Parameter or Variable: surface water (calculated); Units: n/a; Observation Category: model output; Sampling Instrument: model Parameter or Variable: ESLR (calculated); Units: n/a; Observation Category: model output; Sampling Instrument: model Parameter or Variable: Effects of Sea Level Rise (calculated); Units: n/a; Observation Category: model output; Sampling Instrument: model Parameter or Variable: Exploring Ecosystem and Community Vulnerability to Surface and Subsurface Flooding with Sea Level Rise and Adaptation Strategi (calculated); Units: n/a; Observation Category: model output; Sampling Instrument: model asNeeded Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness. NOAA National Centers for Environmental Information custodian