Justin J. Birchler Kara S. Doran Hilary F. Stockdon Heather A. Schreppel 20251117 2.0 vector digital data Kara S. Doran Justin J. Birchler Heather A. Schreppel Hilary F. Stockdon David M. Thompson 20190619 2.0 U.S. Geological Survey data release doi:10.5066/P9Z362BC St. Petersburg, Florida U.S. Geological Survey https://doi.org/10.5066/P9Z362BC This dataset defines storm-induced coastal erosion hazards for the Florida coastline. The analysis was based on a storm-impact scaling model that used observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast would respond to the direct landfall of Tropical Storm Colin in June 2016. Storm-induced water levels, due to both surge and waves, are compared to beach and dune elevations to determine the probabilities of the three types of coastal change: collision (dune erosion), overwash, and inundation. All hydrodynamic and morphologic variables are included in this dataset. To provide data on the probability of storm-induced coastal erosion hazards for the Florida coast post-Tropical Storm Colin. 20160606 ground condition Complete None planned, however future updates and post-storm analyses are anticipated. -86.003346 -81.936350 30.272440 26.422172 USGS Metadata Identifier USGS:e6c7366b-68e7-49a9-a21e-609fff17fd00 None U.S. Geological Survey USGS St. Petersburg Coastal and Marine Science Center Coastal and Marine Geology Program CMGP SPCMSC Tropical Storm Colin coastal ISO 19115 Topic Category oceans elevation environment geoscientificInformation USGS Thesaurus hazards marine geology ocean sciences coastal processes erosion Data Categories for Marine Planning distributions bathymetry and elevation physical habitats and geomorphology Marine Realms Information Bank (MRIB) Keywords effects of coastal change shoreline accretion shoreline erosion storm erosion topographic mapping hurricanes and typhoons Geographic Names Information System United States of America Florida No access constraints. Please see 'Distribution Information' for details. These data are marked with a Creative Commons CC0 1.0 Universal License. These data are in the public domain and do not have any use constraints. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations. U.S. Geological Survey Hilary Stockdon mailing and physical

600 4th Street South

Saint Petersburg FL 33701 UNITED STATES 727-502-8074 727-502-8182 hstockdon@usgs.gov The predicted elevations of storm surge were extracted from the National Oceanic and Atmospheric Administration’s (NOAA) Sea, Lake, and Overland Surges from Hurricanes (SLOSH) model, which has been employed by NOAA in inundation risk studies and operational storm surge forecasting. Wave runup and setup conditions were generated using NOAA's WaveWatch III model. Microsoft Windows 7 Version 6.1 (Build 7600); Esri ArcGIS 10.0.4.4000 No additional checks for consistency were performed on this data. This dataset includes dune morphology and hurricane hydrodynamic data used to generate probabilities of hurricane-induced erosion, elevation data from lidar surveys are not included. Measurements were collected approximately every 10 meters (m) and summarized to 1-kilometer (km) segments. Horizontal accuracy was not estimated. Vertical accuracy for hydrodynamic measurements (surge, setup, and runup) is dependent on input data. SLOSH model accuracy is estimated to be +/- 20 percent of the calculated value. No other accuracy checks were performed. Vertical accuracy for dune morphology (dune crest and toe elevation) data is dependent on the positional accuracy of the lidar data. Estimated accuracy of lidar surveys are +/- 15 centimeters. However, vertical accuracies may vary based on the type of terrain (for example, inaccuracies may increase as slope increases or with the presence of extremely dense vegetation), the accuracy of the global positioning system (GPS), and aircraft-attitude measurements. National Weather Service, National Oceanic and Atmospheric Administration 20160606 https://www.opc.ncep.noaa.gov/estofs/estofs_surge_info.shtml Online digital data 20160606 The date when web page was last modified. ESTOFS Data provides anticipated water levels during the next 4 days. NOAA National Weather Service Environmental Modeling Center 20160606 https://polar.ncep.noaa.gov/waves online digital data 20160606 The date when the model was run. WW3 Model that was used to estimate wave setup and runup conditions for Tropical Storm Colin. United States Army Corps of Engineers (USACE) 20150508 Geographic Coverage: FL (AL/FL border to Bald Point State Park) ftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12a/data/1064 https://coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=1064 Online digital data 201001 201003 The date when lidar surveys were collected. USACE Florida Panhandle A lidar survey that was used to estimate dune morphology variables. United States Army Corps of Engineers (USACE) 20150508 Geographic Coverage: FL (Anclote Key to Fort Myers Beach) https://coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=1073 ftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12a/data/1073 Online digital data 20100620 20100722 The date when lidar surveys were collected. USACE Florida West Coast A lidar survey that was used to estimate dune morphology variables. For dune morphology data: Elevation data from lidar surveys were interpolated in MATLAB (version 2017a) to a gridded domain that was rotated parallel to the shoreline and had a resolution of 10 m in the longshore direction and 2.5 m in the cross-shore direction. The interpolation method applied spatial filtering with a Hanning window that was twice as wide as the grid resolution. Dune morphology data were extracted from the elevation grid in MATLAB. Dune morphology data were then summarized to 1 km sections. Sections with greater than 75 percent of data missing were flagged with the invalid number of -999. The 1-km smoothed dune crest (DHIGH), toe (DLOW) and root mean square (RMS) error for each (DHIrms and DLOrms) were written to line shapefiles using MATLAB's shapewrite.m script. USACE Florida Panhandle USACE Florida West Coast 2016 Dune morphology (DHIGH, DLOW, DHIrms, DLOrms) U.S. Geological Survey Justin J. Birchler mailing and physical

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Saint Petersburg FL 33701 UNITED STATES 727-502-8019 727-502-8182 jbirchler@usgs.gov For hydrodynamic data: Water level was computed in MATLAB by adding storm surge from NOAA’s Probabilistic Tropical Storm Surge (P- Surge) model (https://slosh.nws.noaa.gov/psurge2.0/) to wave setup and runup. The wave height and period used for calculating wave runup and setup came from the Wavewatch III model. Hydrodynamic parameters were calculated in MATLAB and exported into ArcGIS shapefile format. For details on modeling parameterization, see: Stockdon, H.F., Doran, K.J., Thompson, D.M., Sopkin, K.L., Plant, N.G., and Sallenger, A.H., 2012, National assessment of hurricane-induced coastal erosion hazards: Gulf of Mexico: U.S. Geological Survey Open-File Report 2012-1084, 51 p. https://doi.org/10.3133/ofr20121084 ESTOFS WW3 20160606 Hydrodynamics (SURGE, SETUP, RUNUP) U.S. Geological Survey Justin J. Birchler mailing and physical

600 4th Street South

Saint Petersburg FL 33701 UNITED STATES 727-502-8019 727-502-8182 jbirchler@usgs.gov Probabilities of coastal erosion hazards were based on estimating the likelihood that the beach system would experience erosion and deposition patterns consistent with collision (PCOL), overwash (POVW), or inundation (PIND) regimes. The regimes were calculated by using values of dune morphology and mean and extreme water levels for each 1 km section, such that the probability of collision (PCOL) occurs when extreme water levels reach the dune toe; overwash (POVW) when extreme water levels reach the dune crest; and inundation (PIND) when mean water levels reach the dune crest. Probabilities were calculated in MATLAB and exported using MATLAB's shapewrite.m script. For details on modeling parameterization, see: Stockdon, H.F., Doran, K.J., Thompson, D.M., Sopkin, K.L., Plant, N.G., and Sallenger, A.H., 2012, National assessment of hurricane-induced coastal erosion hazards: Gulf of Mexico: U.S. Geological Survey Open-File Report 2012-1084, 51 p. https://doi.org/10.3133/ofr20121084 Dune morphology Hydrodynamics 20160606 Probabilities (PCOL, POVW, PIND) U.S. Geological Survey Justin J. Birchler mailing and physical

600 4th Street South

Saint Petersburg FL 33701 UNITED STATES 727-502-8019 727-502-8182 jbirchler@usgs.gov Added keywords section with USGS persistent identifier as theme keyword. 2020 Version 2.0: This previously published metadata record was updated as part of the version 2.0 revision, after it was identified that the DHIrms and DLOrms fields mistakenly defined the root mean squared error unit in square meters, instead of meters. This did not impact the data values reported in the shapefiles. 20251117 Vector String 443 8.9831528411952133e-009 8.9831528411952133e-009 Decimal Degrees D_WGS_1984 WGS_1984 6378137.0 298.257223563 Colin_PCOI_line Probabilities of hurricane-induced coastal erosion, dune morphology, and hurricane hydrodynamic data USGS FID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Feature geometry. Esri Coordinates defining the features. DHIGH Elevation of dune crest, in meters, using the North American Vertical Datum of 1988 (NAVD88). Extracted from lidar surveys collected from January 2010 to July 2010. USGS 1.113943 8.142555 meters NAVD88 -999 Null value USGS DLOW Elevation of the dune toe, in meters NAVD88. Extracted from lidar surveys collected January 2010 to July 2010. USGS 0.578722 3.1366555 meters NAVD88 -999 Null value USGS DHIrms Root mean squared error of dune crest elevation measurements (meters). USGS 0.200126 1.6751549 meters -999 Null value USGS DLOrms Root mean square error of dune toe elevation measurements (meters). USGS 0.131457 1.095799 meters -999 Null value USGS SURGE Storm surge water level NOAA 0.647682 1.612286 meters NAVD88 RUNUP Wave runup water level USGS 0.45996 3.432494 meters NAVD88 -999 Null value USGS SETUP Wave setup water level USGS 0.053423 1.427211 meters NAVD88 -999 Null value USGS PCOL Probability of collision USGS 5.450901 99.999122 percent -999 Null value USGS POVW Probability of overwash USGS 0.000142 99.835412 percent -999 Null value USGS PIND Probability of inundation USGS 2.0e-06 87.179779 percent -999 Null value USGS MEAN Mean water level (surge + setup) USGS 0.718569 2.315448 meters NAVD88 -999 Null value USGS EXTREME Extreme water level (surge + runup). USGS 1.125177 4.320731 meters NAVD88 -999 Null value USGS TIDE Predicted tide water level USGS 0 0 meters NAVD88 U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center USGS SPCMSC Data Management mailing and physical

600 4th Street South

Saint Petersburg FL 33701 727-502-8000 gs-g-spcmsc_data_inquiries@usgs.gov 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 for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. shapefile zip https://coastal.er.usgs.gov/data-release/doi-P9Z362BC/data/Colin_2016.zip None, if obtained online. 20251117 U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center USGS SPCMSC Data Management mailing and physical

600 4th Street South

Saint Petersburg FL 33701 727-502-8000 gs-g-spcmsc_data_inquiries@usgs.gov Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time