Kara S. Doran Joshua M. Pardun 20251203 1.0 vector digital data Kara S. Doran Justin J. Birchler Kirsten J. Bendik 20190813 4.0 U.S. Geological Survey data release doi:10.5066/P9BW6CG6 St. Petersburg, FL U.S. Geological Survey https://doi.org/10.5066/P9BW6CG6 The Coastal Change Hazards Technical Capabilities and Applications project at the U.S. Geological Survey (USGS) provides technical capabilities in observing and forecasting storm impacts to our nation's coastlines. This geospatial dataset defines the alongshore extent of overwash sediments deposited along the coast of Florida and attributed to coastal processes during [Atlantic Basin] Hurricane Ian, which made landfall in the U.S. on September 28, 2022. Overwash extents are used to validate and improve forecasts of coastal change. See Birchler and others (2019) and Gorski and others (2024) for examples of the application of overwash extents to forecast validation. To provide alongshore extents of overwash deposits caused by Hurricane Ian. 20220930 20221001 ground condition Complete None planned -82.262819 -81.743793 26.676745 25.944080 USGS Metadata Identifier USGS:db374be4-3f28-41d5-8bfa-fc0de26a4c97 ISO 19115 Topic Category geoscientificInformation oceans environment USGS Thesaurus hazards marine geology ocean sciences coastal processes sand deposits sedimentation None U.S. Geological Survey USGS St. Petersburg Coastal and Marine Science Center Coastal and Marine Hazards and Resources Program CMHRP SPCMSC Geographic Names Information System (GNIS) State of 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 Kara S. Doran mailing and physical

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Saint Petersburg FL 33701 UNITED STATES 727-502-8117 727-502-8001 kdoran@usgs.gov Microsoft Windows 10 Version 1909 (Build 18363.1500); Esri ArcMap 10.8; ArcGIS Pro 3.3.2 Birchler, J.J., Doran, K.S., Long, J.W., and Stockdon, H.F. 2019 U.S. Geological Survey Open-File Report doi:10.3133/ofr20191095 Reston, Virginia U.S. Geological Survey https://doi.org/10.3133/ofr20191095 Gorski, J.F., Dietrich, J.C., Passeri, D.L., Mickey, R.C., and Luettich, R.A. 20241202 Natural Hazards Volume 121 London, U.K. Springer Nature Pages 6257–6283 https://doi.org/10.1007/s11069-024-07012-2 Data were reviewed for quality analysis/quality control (QA/QC'd) by an independent researcher using NOAA photography. This dataset is considered complete for the information presented, as described in the abstract section. Users are advised to read the rest of the metadata record carefully for additional details. No formal horizontal positional accuracy tests were conducted. Geographic coordinates were projected to the North American Datum of 1983 (NAD 83) Universal Transverse Mercator Zone 17 North (UTM 17N) coordinate system. No formal positional vertical accuracy tests were conducted. Data was not projected or referenced to a vertical coordinate system. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division 2022 Silver Spring, MD NOAA's Ocean Service, National Geodetic Survey (NGS) https://storms.ngs.noaa.gov/storms/ian/index.html online digital data 2022 present ground condition NOAA post-storm Post-storm imagery used to determine overwash extent. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division 201601 Silver Spring, MD NOAA's Ocean Service, National Geodetic Survey (NGS) https://geodesy.noaa.gov/storm_archive/storms/index.shtml online digital data 201501 present ground condition NOAA pre-storm Pre-storm imagery used to determine whether overwash occurred. Overwash extents were manually delineated, using editing tools in ArcMap (10.8) by comparing the coastline in Florida with pre-storm and post-storm imagery from NOAA. In order to determine whether overwash had occurred in the study area, USGS staff searched for new sand deposits over roads, marshes, and vegetation using methods in Birchler and others (2019). NOAA pre-storm NOAA post-storm 20230404 Overwash extents were QA/QC'd by an independent, second researcher at the USGS using NOAA photography to determine if any features were erroneously identified as overwash, but were actually dune erosion (Birchler and others, 2019). The final dataset is a polyline shapefile (.shp) that represent the overwash extent from Hurricane Ian in September 2022. NOAA pre-storm NOAA post-storm 20230412 Ian_Overwash_Extent.shp The final overwash extent shapefile file was converted to a Zipped Keyhole Markup Language file (.kmz) using tools in ArcPro (3.3.2) for use with non-proprietary software. Ian_Overwash_Extent.shp 20241029 Ian_Overwash_Extent.kmz Vector String 53 Universal Transverse Mercator 17 0.9996 -81.0 0.0 500000.0 0.0 coordinate pair 0.6096 0.6096 meters North American Datum of 1983 GRS_1980 6378137.0 298.257222101 Ian_Overwash_Extent.shp Attribute table of the overwash extents from the landfall of Hurricane Ian in 2022. USGS FID Internal feature number. Esri 0 53 Shape Feature geometry. Esri Coordinates defining the features. Shape_Leng Length of line segment, in meters. Esri 6.2716 2360.9895 meters U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center USGS SPCMSC Data Management mailing and physical

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Saint Petersburg FL 33701 727-502-8000 gs-g-spcmsc_data_inquiries@usgs.gov Ian_Overwash_Extent.shp, Ian_Overwash_Extent.kmz 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, KML The data download file is compressed and must be unzipped using software such as WinZip, 7Zip, etc. before use. https://coastal.er.usgs.gov/data-release/doi-P9BW6CG6/data/Ian_Overwash_Extent.zip None None 20251203 U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center USGS SPCMSC Data Management mailing and physical

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