Patrick L. Barnard Li H. Erikson Amy C. Foxgrover Andrea C. O'Neill 2019 Flood-hazard depth and duration projection data in GeoTIFF formats data release DOI:10.5066/P9NUO62B Pacific Coastal and Marine Science Center Santa Cruz, California U.S. Geological Survey https://doi.org/10.5066/P9NUO62B https://www.sciencebase.gov/catalog/item/5d1bcfd9e4b0941bde6211e9 Patrick L. Barnard Li H. Erikson Amy C. Foxgrover Patrick W. Limber Andrea C. O'Neill Sean Vitousek 2018 modeling results presented in various formats data release DOI:10.5066/P9NUO62B Pacific Coastal and Marine Science Center, Santa Cruz, California U.S. Geological Survey https://doi.org/10.5066/P9NUO62B This data contains maximum depth of flooding (cm) in the region landward of the present-day shoreline for the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions) and simulated 1-year/20-year/100-year return interval coastal storms. Methods and processes used in Central California are replicated from and described in O'Neill and others (2018).Please read metadata and inspect output carefully. Data are complete for the information presented. These data are intended for policy makers, resource managers, science researchers, students, and the general public. These data can be used with geographic information systems or other software to identify and assess possible areas of vulnerability. These data are not intended to be used for navigation. This work is one portion of ongoing modeling efforts for California and the western United States. For more information on CoSMoS implementation, see https://walrus.wr.usgs.gov/coastal_processes/cosmos/ 20170120 20190710 oldest dataset used through publication date In work As needed -122.641953027 -120.444512138 37.819520138 34.403744888 USGS Metadata Identifier USGS:5d1bcfd9e4b0941bde6211e9 Data Categories for Marine Planning Physical Habitats and Geomorphology Global Change Master Directory (GCMD) Hazards Planning Ocean Waves Ocean Winds Beaches Erosion Sea Level Rise Storm Surge Extreme Weather Floods Water Depth USGS Thesaurus Climate Change Storms Wind Floods Sea-level Change mathematical modeling effects of climate change earth sciences ISO 19115 Topic Category Oceans ClimatologyMeteorologyAtmosphere Marine Realms Information Bank (MRIB) keywords sea level change waves floods coastal erosion Geographic Names Information System San Luis Obispo County State of California None Central California Central California Coast none USGS-authored or produced data and information are in the public domain from the U.S. Government and are freely redistributable with proper metadata and source attribution. Please recognize and acknowledge the U.S. Geological Survey as the originator(s) of the dataset and in products derived from these data. U.S. Geological Survey, Pacific Coastal and Marine Science Center PCMSC Science Data Coordinator mailing and physical

2885 Mission Street

Santa Cruz CA 95060-5792 US 831-460-4747 831-427-4748 pcmsc_data@usgs.gov O'Neill, A.C. Erikson, L.H. Barnard, P.L. Limber, P.W. Vitousek, S. Warrick, J Foxgrover, A.C. Lovering, J.L. 2018 O’Neill, A.C., Erikson, L.H., Barnard, P.L., Limber, P.W., Vitousek, S., Warrick, J.A., Foxgrover, A.C., Lovering, J., 2018, Projected 21st Century Coastal Flooding in the Southern California Bight. Part 1: Development of the Third Generation CoSMoS Model: Journal of Marine Science and Engineering, vol. 6, art. 59, https://doi.org/10.3390/jmse6020059. Attribute values are model-derived depth and duration due to plausible sea-level rise and future storm conditions and therefore cannot be validated against observations. The projections were generated using the latest downscaled climate projections for Central California and calibrated hydrodynamic models. Due to methods of coastal evolution, duration datasets may have occasional gaps in open-coast sections. See O'Neill and others (2018) for more information. Data have undergone quality checks and meet standards. Dataset is considered complete for the information presented (as described in the abstract) and will be updated as necessary as improvements are developed. Users are advised to read the metadata record and cited references carefully for additional details. Data are concurrent with topobathymetric DEM locations. Model-derived data are accurate within the limitations outlined in O'Neill and others (2018). Tyler, D.J. Danielson, J.J. Poppenga, S.K. Gesch, D.B. 2018 Center for Earth Resources Observation and Science, Sioux Falls, South Dakota U.S. Geological Survey http://dx.doi.org/10.2112/SI76-008 online 2018 publication date DEM Topographic and bathymetry elevation dataset used in models Pierce, D.W. Cayan, D.R. Thrasher, B.L. 2015 Scripps Institute of Oceanography, University of California, San Diego, California Scripps Institute of Oceanography, University of California, San Diego, California http://loca.ucsd.edu/ online 2015 publication date GCM data statistically downscaled Global Climate Model (GCM) data for California Determined regional 100-year, 20-year, and annual storm events, as well as average conditions for study area. Generated storm-event boundary conditions for Tier I simulations. See O'Neill and others (2018) on CoSMoS framework. 20171201 Obtained topobathymetric DEM data. Set up and populated Tier I/II Delft-3D grids bathymetry from DEM. 20180801 Finished initial grid and FLOW-WAVE model structure within Delft-3D. Finished test storm (January 2010 storm including tides, waves, wind, and pressure) and tide scenarios (no atmospheric forcing, FLOW only) with initial QC checks. Checks included quantitative comparisons to tide station water levels within Central California study area and output comparisons between model versions to determine model accuracy and consistency. 20181030 Began simulations for each scenario. Began post-processing Delft-3D and XBeach output within Matlab (v. 2015b) to make spatially cohesive flood projection. See O'Neill and others (2018) for information on model framework and outputs. 20190115 Edited metadata to add keywords section with USGS persistent identifier as theme keyword. No data were changed. 20201019 U.S. Geological Survey VeeAnn A. Cross Marine Geologist Mailing and Physical

384 Woods Hole Road

Woods Hole MA 02543-1598 508-548-8700 x2251 508-457-2310 vatnipp@usgs.gov Performed minor edits to the metadata to correct typos. No data were changed. 20211013 U.S. Geological Survey Susan A. Cochran Geologist Mailing and Physical

2885 Mission Street

Santa Cruz CA 95060 831-460-7545 scochran@usgs.gov Raster pixel Universal Transverse Mercator 10 0.999600 -100.000000 0.000000 500000.000000 0.000000 row and column 2.000000 2.000000 meters North American Datum 1983 (NSRS2007) Geodetic Reference System 80 6378137.000000 298.257222 NAVD88 2.0 meters Implicit coordinate CoSMoS v3.1: San Luis Obispo County CoSMoS projections originators at United States Geological Survey, Pacific Coastal and Marine Science Center Projection of flood-hazard depth for given sea-level rise (SLR) value Depth of flood hazard model derived 0.0 cm 2000.0 cm centimeters 0.1 Projection of flood-hazard duration for given sea-level rise (SLR) value Duration of flood hazard model derived 0.0 hour 24.85 hour hours 0.01 U.S. Geological Survey - ScienceBase mailing and physical

Denver Federal Center, Building 810, Mail Stop 302

Denver CO 80225 USA 1-888-275-8747 sciencebase@usgs.gov File (CoSMoS_v3-1_flood_depth_and_duration.ZIP) contains flood-hazard depth and flood-hazard duration projections for sea-level rise and storm scenarios indicated. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. GeoTIFF ArcGIS 10.4.4 Features are GeoTIFF formats and are projected in UTM Zone 10 coordinates, with horizontal datum NAD83 (NSRS2007) and vertical datum NAVD88. The .zip file includes GeoTIFF (.tif). WinZip or archive utility 166.3 https://www.sciencebase.gov/catalog/file/get/5d1bcfd9e4b0941bde6211e9?name=CoSMoS_v3-1_average_conditions_flood_depth_and_duration.zip https://www.sciencebase.gov/catalog/item/5cd07943e4b09b8c0b79a34b https://doi.org/10.5066/P9NUO62B https://www.sciencebase.gov/catalog/item/5633fea2e4b048076347f1cf Data can be downloaded using the Network_Resource_Name links. The first link is a direct link to download the zipped file of data and metadata. The second link points to a landing page for all of the projection data from San Luis Obispo County. The third link points to the landing page for all of the CoSMoS Central California (v.3.1) data. The fourth link points to the landing page for the entire CoSMoS project. none 20211013 U.S. Geological Survey, Pacific Coastal and Marine Science Center PCMSC Science Data Coordinator mailing and physical

2885 Mission Street

Santa Cruz CA 95060-5792 US 831-460-4747 831-427-4748 pcmsc_data@usgs.gov Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998