Projected impacts by compound coastal flood hazards for future sea-level rise (SLR) and storm scenarios are shown for North Carolina and South Carolina. Accompanying uncertainty for each SLR and storm scenario, indicating total uncertainty from model processes and contributing datasets, are illustrated in maximum and minimum flood potential. As described by Nederhoff and others (2024), projections were made using a system of numerical models driven by output from Global Climate Models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and a tropical cyclone database from US Army Corp of Engineers. The resulting data products include detailed flood-hazard maps along the North Carolina and South Carolina coast due to sea level rise and plausible future storm conditions that consider the changing climate, hurricanes, and natural variability. In addition to sea-level rise, flood simulations run by these numerical models included dynamic contributions from tide, storm surge, wind, waves, river discharge, precipitation, and seasonal sea-level fluctuations. Outputs include impacts from combinations of SLR scenarios (0, 0.25, 0.5, 1.0, 1.5, 2.0, and 3.0 m) storm conditions including 1-year, 20-year and 100-year return interval storms and a background condition (no storm - astronomic tide and average atmospheric conditions).

This shapefile (polygon geometry) represents the boundary of Carteret County according to surveys by the North Carolina Geodetic Survey. Data from the N.C. Department of Transportation, U.S. Geological Survey, and N.C. Department of Environment and Natural Resources were also used to create the shapefile. The data were incorporated into the Carteret County GIS database on December 4th, 2015. Prior to the acquisition of this data from the state, the county boundary was defined based on surveys completed by Carteret County prior to the1980's. The projected coordinate system for the data is NAD_1983_StatePlane_North_Carolina_FIPS_3200_Feet, the projection is Lambert Conformal Conic, and the linear units are in feet. The geographic coordinate system is GCS_North_American_1983 and the angular unit is in degrees.

description: Geographic Extent: North Carolina Area of Interest for Sandy, covering approximately 9,396 square miles. Dataset Description: The North Carolina - Sandy LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of North Carolina State Plane Coordinate System, NAD83, survey feet and vertical datum of NAVD1988 (GEOID12A), survey feet (later changed to vertical meters). LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.3 Files formatted to 12138 individual 5000ft x 5000ft tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 5000ft x 5000ft schema, and Breaklines in ESRI File-Geodatabase format. Ground Conditions: LiDAR was collected in Spring 2014, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Photo Science established a total of 282 QA control points and 161 Land Cover control points that were used to calibrate the LIDAR to known ground locations established throughout the North Carolina - Sandy project area. Data was collected under USGS Contract: G10PC00026 Task Order Number: G14PD00182 and originally had a title of "Lidar data for North Carolina - SANDY 2014". The title was modified to avoid conflict with other phases of the North Carolina collection conducted by the North Carolina Floodplain Mapping Program (NCFMP). This data was funded jointly by USGS and NCFMP.; abstract: Geographic Extent: North Carolina Area of Interest for Sandy, covering approximately 9,396 square miles. Dataset Description: The North Carolina - Sandy LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of North Carolina State Plane Coordinate System, NAD83, survey feet and vertical datum of NAVD1988 (GEOID12A), survey feet (later changed to vertical meters). LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.3 Files formatted to 12138 individual 5000ft x 5000ft tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 5000ft x 5000ft schema, and Breaklines in ESRI File-Geodatabase format. Ground Conditions: LiDAR was collected in Spring 2014, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Photo Science established a total of 282 QA control points and 161 Land Cover control points that were used to calibrate the LIDAR to known ground locations established throughout the North Carolina - Sandy project area. Data was collected under USGS Contract: G10PC00026 Task Order Number: G14PD00182 and originally had a title of "Lidar data for North Carolina - SANDY 2014". The title was modified to avoid conflict with other phases of the North Carolina collection conducted by the North Carolina Floodplain Mapping Program (NCFMP). This data was funded jointly by USGS and NCFMP.

This LiDAR point cloud was commissioned as part of the USGS's 3D Elevation Project, and has been processed and hosted on their behalf by the Entwine project.The NC_Phase5_Madison_2017 data set includes 72,997,207,788 LiDAR points, and covers 459144 acres of land. This LiDAR survey was started on 2017-03-04Z and was completed on 2017-04-10Z.The LiDAR quality level of the data set is considered to be QL 1according to USGS Lidar Base Specification 1.2.The horizontal coordinate system (CRS) of the NC_Phase5_Madison_2017 LiDAR survey is EPSG 6543, or NAD83(2011) / North Carolina (ftUS).The vertical coordinate system (CRS) of the NC_Phase5_Madison_2017 LiDAR survey is EPSG 6360, or NAVD88 height (ftUS).The NC_Phase5_Madison_2017 data set is located in the states of Tennessee and North Carolina and covers the following counties:YanceyBuncombeMadisonHaywoodCockeUnicoiGreeneThe NC_Phase5_Madison_2017 data set has coverage in the following cities:Asheville, NC

Geographic Extent: North Carolina Area of Interest, covering approximately 7,197 square miles. Dataset Description: The North Carolina LiDAR project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1. The data was developed based on a horizontal projection/datum of North Carolina State Plane Coordinate System, NAD83, survey feet and vertical datum of NAVD1988 (GEOID12A), survey feet. Lidar data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 8026 individual 5000ft x 5000ft tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 5000ft x 5000ft schema, and Breaklines in ESRI File-Geodatabase format. Data in 10591 tiles were received by NOAA in LAS 1.3 format and were transformed to ellipsoid heights and geographic coordinates for the Digital Coast Data Access Viewer. Ground Conditions: LiDAR was collected in Spring 2015, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Quantum Spatial established a total of 71 control points that were used to calibrate the lidar to known ground locations established throughout the North Carolina project area.

The Unpublished Digital Geologic-GIS Map of Moores Creek National Battlefield, North Carolina is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (mocr_geology.gdb), a 10.1 ArcMap (.mxd) map document (mocr_geology.mxd), individual 10.1 layer (.lyr) files for each GIS data layer, an ancillary map information document (mocr_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.txt) and FAQ (.pdf) formats, and a GIS readme file (mocr_geology_gis_readme.pdf). Please read the mocr_geology_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O'Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (mocr_geology_metadata.txt or mocr_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:250,000 and United States National Map Accuracy Standards features are within (horizontally) 127 meters or 416.7 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm). The GIS data projection is NAD83, UTM Zone 17N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Moores Creek National Battlefield.

This layer includes orthophotos generated for Carteret County during the 1980's. The images were created by Landmark Engineering in Cary, NC and are based on the North Carolina State Plane Coordinate System, 1927 North American Datum. They were digitized by scanning the corresponding Mylars and georeferencing them based on the NAD 1927 State Plane Coordinate System grid. Some sections of this mosaic dataset include higher resolution images, mainly in more developed areas. This has a different spatial reference than the original images. The original coordinate system was NAD_1927_StatePlane_North_Carolina_FIPS_3200 while the referenced projection is NAD_1983_StatePlane_North_Carolina_FIPS_3200_Feet. The spatial reference information for the original imagery is as follows:NAD_1927_StatePlane_North_Carolina_FIPS_3200Map_Projection_Name: Lambert Conformal ConicLambert_Conformal_Conic:Standard_Parallel: 34.333333Standard_Parallel: 36.166667Longitude_of_Central_Meridian: -79.000000Latitude_of_Projection_Origin: 33.750000False_Easting: 200000.000000False_Northing: 0.000000Planar_Coordinate_Information:Planar_Coordinate_Encoding_Method: Row and columnCoordinate_Representation:Abscissa_Resolution: 0.50Ordinate_Resolution: 0.50Planar_Distance_Units: Survey feetGeodetic_Model:Horizontal_Datum_Name: North American Datum of 1927Ellipsoid_Name: Clark_1866Semi-major_Axis: 6378206.400000Denominator_of_Flattening_Ratio: 294.978698

The Flood Insurance Rate Map (FIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the State Plane projection and coordinate system.The specifications for the horizontal control of FIRM data files are consistent with those required for mapping at a scale of 1:12,000.

This dataset contains projections of shoreline change and uncertainty bands for future scenarios of sea-level rise (SLR). Scenarios include 25, 50, 75, 100, 150, 200, and 300 centimeters (cm) of SLR by the year 2100. Output for SLR of 0 cm is also included, reflective of conditions in 2005, in accordance with recent SLR projections and guidance from the National Oceanic and Atmospheric Administration (NOAA; see process steps). Projections were made using the Coastal Storm Modeling System - Coastal One-line Assimilated Simulation Tool (CoSMoS-COAST), a numerical model (described in Vitousek and others, 2017; 2021; 2023) run in an ensemble forced with global-to-local nested wave models and assimilated with satellite-derived shoreline (SDS) observations. Shoreline positions from models are generated at pre-determined cross-shore transects and output includes different cases covering important model behaviors (cases are described in process steps of metadata; see citations listed in the Cross References section for more details on the methodology and supporting information). This model shows change in shoreline positions along transects, considering sea level, wave conditions, along-shore/cross-shore sediment transport, long-term trends due to sediment supply, and estimated variability due to unresolved processes (as described in Vitousek and others, 2021). Variability associated with complex coastal processes (for example, beach cusps/undulations and shore-attached sandbars) are included via a noise parameter in a model, which is tuned using observations of shoreline change at each transect and run in an ensemble of 200 simulations; this approach allows for a representation of statistical variability in a model that is assimilated with sequences of noisy observations. The model synthesizes and improves upon numerous, well-established shoreline models in the scientific literature; processes and methods are described in this metadata (see lineage and process steps), but also described in more detail in Vitousek and others 2017, 2021 and 2023. KMZ data are readily viewable in Google Earth. For best display of results, it is recommended to turn off any 3D features or terrain. For technical users and researchers, shapefile and KMZ data can be ingested into geographic information system (GIS) software such as Global Mapper or QGIS.

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Sounth Carolina West (FIPS 3900) State Plane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

description: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). In addition to the preceding, required text, the Abstract should also describe the projection and coordinate system as well as a general statement about horizontal accuracy.; abstract: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). In addition to the preceding, required text, the Abstract should also describe the projection and coordinate system as well as a general statement about horizontal accuracy.

description: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.; abstract: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

description: This is an ArcGIS dataset depicting watershed segments in the Chesapeake Bay Watershed and adjacent states of New York, Pennsylvania, Maryland, West Virginia, Delaware, Virginia, North Carolina, and Tennessee. Thirty-meter-resolution Digital Elevation Model data were used to delineate watersheds for each stream reach. State watershed boundaries replaced the Digital Elevation Model-derived watersheds where coincident. The data are projected to the UTM grid coordinate system - Zone 18 NAD27.; abstract: This is an ArcGIS dataset depicting watershed segments in the Chesapeake Bay Watershed and adjacent states of New York, Pennsylvania, Maryland, West Virginia, Delaware, Virginia, North Carolina, and Tennessee. Thirty-meter-resolution Digital Elevation Model data were used to delineate watersheds for each stream reach. State watershed boundaries replaced the Digital Elevation Model-derived watersheds where coincident. The data are projected to the UTM grid coordinate system - Zone 18 NAD27.