Kara S. Doran Hilary F. Stockdon David M. Thompson Kristin L. Sopkin Nathaniel G. Plant 20130610 vector digital data http://pubs.usgs.gov/of/2013/1130/ U.S. Geological Survey 2013 http://coastal.er.usgs.gov/hurricanes/ These data sets contain information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Southeast Atlantic coast for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the direct landfall of category 1-5 hurricanes. Hurricane-induced water levels, due to both surge and waves, are compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Data on dune morphology (dune crest and toe elevation) and hydrodynamics (storm surge, wave setup and runup) are also included in this data set. As new beach morphology observations and storm predictions become available, this analysis will be updated to describe how coastal vulnerability to storms will vary in the future. The data presented here include the dune morphology observations, as derived from lidar surveys. To provide data on the probability of hurricane-induced coastal erosion hazards for the Southeast Atlantic coast. 20130610 Publication date Complete None planned, however future updates and post-storm analyses are anticipated. -81.456181 -75.352598 36.547882 25.645184 USGS Metadata Identifier USGS:0057427d-535b-444f-aa3a-e47845289054 General U.S. Geological Survey USGS St. Petersburg Coastal and Marine Science Center Coastal and Marine Geology Program CMGP SPCMSC Open-File Report 2013-1130 OFR 2013-1130 ISO 19115 Topic Category coastal elevation environment General Southeast Florida Georgia South Carolina North Carolina Atlantic Ocean United States None The U.S. Geological Survey requests to be acknowledged as originators of the data in future products or derivative research. U.S. Geological Survey Hilary Stockdon mailing and physical

600 4th Street South

Saint Petersburg FL 33701 UNITED STATES 727-803-8747 727-803-2030 hstockdon@usgs.gov The predicted elevations of combined high tide and storm surge for category 1-5 hurricanes were extracted from the National Oceanic and Atmospheric Administration (NOAA) SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model, which has been employed by NOAA in inundation risk studies and operational storm surge forecasting. Wave runup and setup conditions were generated using SWAN software developed by Delft University of Technology (TU Delft). Microsoft Windows 7 Version 6.1 (Build 7600) ; MATLAB R2011b ; ESRI ArcGIS 10.0.4.4000 No additional checks for consistency were performed on this data. These data include dune morhology, and hurricane hydrodynamic data used to generate probabilities of hurricane-induced erosion. Elevation data from lidar surveys are not included. Measurements are collected approximately every 10-meters and summarized to 1-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 +/- 20 percent of the calculated value. Modeled wave heights were compared to observed wave heights at several buoys located at different water depths throughout the Southeast Atlantic and simulated wave heights were representative of maximum possible wave heights for each hurricane category. 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) and the accuracy of the GPS and aircraft-attitude measurements. National Hurricane Center, National Oceanic and Atmospheric Administration 20100910 http://www.nhc.noaa.gov/ssurge/ssurge_momOverview.shtml Online digital data 20100910 The date when web page was last modified. MOM Data provides a worst case snapshot for a particular hurricane category under "perfect" storm conditions and was used to estimate water level under hurricane categories. Delft University of Technology 20110622 http://www.swan.tudelft.nl/ Computer program 2011 The date when software was obtained. SWAN Model that was used to estimate wave setup and runup conditions for different hurricane categories. U.S. Army Corps of Engineers 201109 http://csc.noaa.gov/digitalcoast/dataregistry/#/ Online digital data 20090831 20091003 The date when lidar surveys were collected. USACE CHARTS A lidar survey that was used to estimate dune morphology variables. U.S. Army Corps of Engineers 201109 http://csc.noaa.gov/digitalcoast/dataregistry/#/ Online digital data 20090816 20090824 The date when lidar surveys were collected. USACE CHARTS A lidar survey that was used to estimate dune morphology variables. U.S. Army Corps of Engineers Unpublished material http://csc.noaa.gov/digitalcoast/dataregistry/#/ Online digital data 20100504 20100616 The date when lidar surveys were collected. USACE CHARTS A lidar survey that was used to estimate dune morphology variables. For dune morphology data: Elevation data from lidar surveys were interpolated in MATLAB 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 applies spatial filtering with a Hanning window that is twice as wide as the grid resolution. Dune morphology data are extracted from the elevation grid in MATLAB. Dune morphology data are then summarized to 1 km sections. Sections with greater than 75 percent of data missing are flagged with the invalid number of -999. The 1-kilometer smoothed dune crest, toe and root mean square (RMS) error for each were written to line shapefiles using Matlab's shapewrite.m script. USACE CHARTS 2011 Dune morphology (DHIGH, DLOW, DHIrms, DLOrms) U.S. Geological Survey Kara S. Doran mailing and physical

600 4th Street South

Saint Petersburg FL 33701 UNITED STATES 727-803-8747 727-803-2030 kdoran@usgs.gov For hydrodynamic data: Water level is computed in Matlab by adding storm surge from NOAAs SLOSH model to wave setup and runup. The wave height and period for calculating wave runup and setup come from the SWAN model. Hydrodynamic parameters were calculated in MATLAB and exported into ArcGIS 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. http://pubs.usgs.gov/of/2012/1084/ MOM SWAN 2011 Hydrodynamics (SURGE, SETUP, RUNUP, MEAN, EXTREME) U.S. Geological Survey Kara S. Doran mailing and physical

600 4th Street South

Saint Petersburg FL 33701 UNITED STATES 727-803-8747 727-803-2030 kdoran@usgs.gov Probabilities of coastal erosion hazards are based on estimating the likelihood that the beach system will experience erosion and deposition patterns consistent with collision, overwash, or inundation regimes. The regimes are calculated by using values of dune morphology and mean and extreme water levels for each 1 km section, such that probability of collision occurs when extreme water levels reach the dune toe; overwash when extreme water levels reach the dune crest; and inundation when mean water levels reach the dune crest. Probabilities were calculated in MATLAB and exported in ArcGIS 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. http://pubs.usgs.gov/of/2012/1084/ Dune morphology Hydrodynamics 2011 Probabilities (PCOL, POVW, PIND) U.S. Geological Survey Kara S. Doran mailing and physical

600 4th Street South

Saint Petersburg FL 33701 UNITED STATES 727-803-8747 727-803-2030 kdoran@usgs.gov Added keywords section with USGS persistent identifier as theme keyword. 20201013 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 Vector GT-polygon composed of chains 1331 8.9831528411952133e-009 8.9831528411952133e-009 Decimal Degrees D WGS 1984 WGS 1984 6378137.0 298.257223563 SE_erosion_hazards 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 NAVD88. USGS 1.11 9.48 meters NAVD88 DLOW Elevation of the dune toe in meters NAVD88. USGS 0.93 4.78 meters NAVD88 -999 Null value USGS DHIrms Root mean squared error of dune crest elevation measurements (square meters). USGS 0.00 11.55 square meters DLOrms Root mean square error of dune toe elevation measurements (square meters). USGS 0 1.24 square meters -999 Nulll value USGS SURGE1 Storm surge water level for a category 1 storm. USGS 0.61 2.98 meters NAVD88 SURGE2 Storm surge water level for a category 2 storm. USGS 1.00 4.56 meters NAVD88 SURGE3 Storm surge water level for a category 3 storm. USGS 1.40 6.30 meters NAVD88 SURGE4 Storm surge water level surge for a category 4 storm. USGS 1.87 7.88 meters NAVD88 SURGE5 Storm surge water level for a category 5 storm. USGS 2.32 9.58 meters NAVD88 RUNUP1 Wave runup water level for a category 1 storm. USGS 1.77 6.75 meters NAVD88 RUNUP2 Wave runup water level for a category 2 storm. USGS 1.87 6.82 meters NAVD88 RUNUP3 Wave runup water level for a category 3 storm. USGS 1.98 7.11 meters NAVD88 RUNUP4 Wave runup water level for a category 4 storm. USGS 2.13 7.64 meters NAVD88 RUNUP5 Wave runup water level for a category 5 storm. USGS 2.18 7.83 meters NAVD88 SETUP1 Wave setup water level for a category 1 storm. USGS 0.17 2.74 meters NAVD88 SETUP2 Wave setup water level for a category 2 storm. USGS 0.18 2.76 meters NAVD88 SETUP3 Wave setup water level for a category 3 storm. USGS 0.19 2.93 meters NAVD88 SETUP4 Wave setup water level for a category 4 storm. USGS 0.21 3.15 meters NAVD88 SETUP5 Wave setup water level for a category 5 storm. USGS 0.21 3.23 meters NAVD88 PCOL1 Probability of collision from category 1 storm USGS 0 100.0 percent -999 Null value USGS PCOL2 Probability of collision from category 2 storm USGS 0 100.0 percent -999 Null value USGS PCOL3 Probability of collision from category 3 storm USGS 0 100.0 percent -999 Null value USGS PCOL4 Probability of collision from category 4 storm USGS 0 100.0 percent -999 Null value USGS PCOL5 Probability of collision from category 5 storm USGS 0 100.0 percent -999 Null value USGS POVW1 Probability of overwash from category 1 storm USGS 0 100.0 percent -999 Null value USGS POVW2 Probability of overwash from category 2 storm USGS 0 100.0 percent -999 Null value USGS PVW3 Probability of overwash from category 3 storm USGS 0 100.0 percent -999 Null value USGS POVW4 Probability of overwash from category 4 storm USGS 0 100.0 percent -999 Null value USGS POVW5 Probability of overwash from category 5 storm USGS 0 100.0 percent -999 Null value USGS PIND1 Probability of inundation from category 1 storm USGS 0 100.0 percent -999 Null value USGS PIND2 Probability of inundation from category 2 storm USGS 0 100.0 percent -999 Null value USGS PIND3 Probability of inundation from category 3 storm USGS 0 100.0 percent -999 Null value USGS PIND4 Probability of inundation from category 4 storm USGS 0 100.0 percent -999 Null value USGS PIND5 Probability of inundation from category 5 storm USGS 0 100.0 percent -999 Null value USGS MEAN1 Mean water level (Setup + Surge) for a category 1 storm USGS 1.45 4.70 meters NAVD88 MEAN2 Mean water level (Setup + Surge) for a category 2 storm USGS 1.93 6.22 meters NAVD88 MEAN3 Mean water level (Setup + Surge) for a category 3 storm USGS 2.60 7.87 meters NAVD88 MEAN4 Mean water level (Setup + Surge) for a category 4 storm USGS 3.37 9.13 meters NAVD88 MEAN5 Mean water level (Setup + Surge) for a category 5 storm USGS 3.90 10.89 meters NAVD88 EXTREME1 Extreme water level (Runup + Surge) for a category 1 storm USGS 3.19 8.10 meters NAVD88 EXTREME2 Extreme water level (Runup + Surge) for a category 2 storm USGS 3.86 9.56 meters NAVD88 EXTREME3 Extreme water level (Runup + Surge) for a category 3 storm USGS 4.62 11.19 meters NAVD88 EXTREME4 Extreme water level (Runup + Surge) for a category 4 storm USGS 5.38 12.82 meters NAVD88 EXTREME5 Extreme water level (Runup + Surge) for a category 5 storm USGS 5.97 14.03 meters NAVD88 U.S. Geological Survey Kara S. Doran mailing and physical

600 4th Street Sourth

Saint Petersburg FL 33701 727-803-8747 727-8032030 kdoran@usgs.gov All of this report is available on-line. Although these data have been processed successfully on a computer system at the 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. The USGS shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. shapefiles zip http://olga.er.usgs.gov/data/NACCH/SE_erosion_hazards.zip http://pubs.usgs.gov/of/2013/1130/ None, if obtained online. 20210922 U.S. Geological Survey Kara S. Doran mailing and physical

600 4th Street South

Saint Petersburg FL 33701 UNITED STATES 727-803-8747 727-803-2030 kdoran@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time