Myrtle Beach, South Carolina 1/ Arc-second MHW Coastal Digital Elevation Model

browse graphicPerspective view of DEM
NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and modeling efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis)
currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal
Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Grid spacings for the DEMs range from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).
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Distribution Formats
  • netCDF (Version: 4 Classic)
Distributor Distributor information not available
Dataset No POCs available for this dataset
Time Period 1955-01-01 to 2005-01-01
Spatial Reference System urn:ogc:def:datum:EPSG::5868
Spatial Bounding Box Coordinates
N: 33.95
S: 33.25
E: -78.40
W: -79.20
Spatial Coverage Map
General Documentation
Associated Resources
Publication Dates
  • publication: 2006-05-26
Edition First
Data Presentation Form mapDigital
Dataset Progress Status Complete - production of the data has been completed
Data Update Frequency As needed
Purpose Developed for the Pacific Marine Environmental Laboratory (PMEL), NOAA Center for Tsunami Research program in support of NOAA's tsunami forecasting and warning efforts.
  • DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
  • DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
  • DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
Theme keywords Global Change Master Directory (GCMD) Science Keywords
  • Earth Science > Oceans > Bathymetry/Seafloor Topography > Seafloor Topography
  • Earth Science > Oceans > Bathymetry/Seafloor Topography > Bathymetry
  • Earth Science > Oceans > Bathymetry/Seafloor Topography > Water Depth
  • Earth Science > Land Surface > Topography > Terrain Elevation > Topographical Relief Maps
  • Earth Science > Oceans > Coastal Processes > Coastal Elevation
  • Coastal Relief
  • Gridded elevations
  • Integrated bathymetry and topography
Platform keywords Global Change Master Directory (GCMD) Platform Keywords
  • Models/Analyses > DEM > Digital Elevation Model
Place keywords Global Change Master Directory (GCMD) Location Keywords
  • Continent > North America > United States of America > South Carolina
  • Ocean > Atlantic Ocean > North Atlantic Ocean
  • Vertical Location > Land Surface
  • Vertical Location > Sea Floor
  • Myrtle Beach
  • Grand Strand
  • Long Bay
Data Resolution keywords Global Change Master Directory (GCMD) Horizontal Data Resolution Keywords
  • 1 meter - < 30 meters
Global Change Master Directory (GCMD) Vertical Data Resolution Keywords
  • < 1 meter
      Use Constraints No constraint information available
      Access Constraints
      • Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
      Fees Fee information not available.
      Lineage information for: repository
      Processing Steps
      • 2015-04-22T00:00:00 - NOAA created the National Centers for Environmental Information (NCEI) by merging NOAA's National Climatic Data Center (NCDC), National Geophysical Data Center (NGDC), and National Oceanographic Data Center (NODC), including the National Coastal Data Development Center (NCDDC), per the Consolidated and Further Continuing Appropriations Act, 2015, Public Law 113-235. NCEI launched publicly on April 22, 2015.
      Lineage information for: dataset
      • DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
      Processing Steps
      • 2006-04-01T00:00:00 - All datasets obtained by NGDC were converted to common horizontal and vertical datums of WGS84 geographic and Mean High Water, respectively, using FME. They were also converted to common file format, ESRI point shapefiles, for visualization and inspection.
      • 2006-04-20T00:00:00 - Datasets were visually inspected with ArcGIS for identification and editing of data anomalies. Datasets were then compared with overlapping datasets to ensure data consistency.
      • 2006-05-10T00:00:00 - The shoreline-crossing beach profile data (~1 meter spacing along profiles but between 80 and 780 meters between profiles) were converted to xyz format, then gridded to 1/3 arc-second spacing (~10 meters) using MB-System's 'mbgrid' tool. The resulting Arc ASCII grid was imported into ArcGIS and clipped to a polygon tightly enclosing the beach profile data to prevent interpolation outside data coverage.
      • 2006-05-15T00:00:00 - xyz files of the bathymetric data were surfaced using GMT's 'surface' tool onto a 1 arc-second grid that interpolated to fill empty cells. Points extracted every 10 meters along the coastline were also included to ensure that the bathymetric grid reached zero at the coast. The resulting Arc ASCII grid was imported into ArcGIS and clipped to the coastline to remove values over land.
      • 2006-05-17T00:00:00 - xyz files for each input dataset were gridded using MB-System's 'mbgrid' tool, which utilizes a high-tension spline interpolation method to fill grid cells with no input elevation values. Preferential weighting was given to more recent, higher-accuracy datasets. Gridding was performed in quadrants, each with a 5% data buffer. The grids were imported in ArcGIS and seamlessly merged to create the final DEM.
      • 2006-05-21T00:00:00 - The DEM was quantitatively evaluated by comparing with source datasets and with elevation values extracted from USGS topographic bench marks. It was visually evaluated by converting to UTM-zone coordinates (units of meters horizontally and vertically) and then creating a slope grid to identify gridding artifacts in the DEM.
      • 2006-05-22T00:00:00 - The DEM was resampled from 1/3 arc-second to 1 arc-second with ArcGIS.
      Processing Environment Native Dataset Environment: Microsoft Windows 2000 Version 5.2 (Build 3790) Service Pack 2; ESRI ArcCatalog
      Source Datasets
      • NOS Hydrographic Surveys
        • NOS Hydrographic Survey Database (download)
          Digital database of NOS hydrographic surveys that date back to the late 19th century.
        • Description of Source: Source Contribution: downloaded from web site. ; Source Type: online
        • Temporal extent used: 1925-01-01 to 1972-01-01
      • USACE Bathymetric Surveys
        • Horry County, South Carolina LiDAR
          • Coastal Carolina University beach profiles
            • Coastal Science and Engineering, Inc. beach profiles
              • USGS NED topography
                • USGS National Elevation Dataset (download)
                  Digital database of U.S. topography, in raster form (DEM)
                • Description of Source: Source Contribution: downloaded from web site. ; Source Type: online
                • Temporal extent used: Unknown to
              Acquisition Information (collection)
                • Digital Elevation Model
                • Tsunami Inundation Gridding Project
                Last Modified: 2017-11-29
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