The NOAA Data Access Viewer (DAV) allows for the download of elevation data shared by the NC Emergency Management. Users can customize the free downloads according to needs - projection, datum, product output (raster, points, contours), format, etc.

Go to the NOAA Data Access Viewer


For more information:

Tips to use the NOAA DAV

NOAA blog posts about the DAV

NOAA blog posts about LiDAR

The Sea Level Rise and Coastal Flooding Impacts Viewer depicts potential sea level rise and its associated impacts on the nation's coastal areas. These coastal areas include all the states (except for Alaska, Louisiana, and Great Lake states) and the U.S. territories of Guam, Puerto Rico, Saipan, and the U.S. Virgin Islands. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. Being able to visualize potential impacts from sea level rise is a powerful teaching and planning tool, and the viewer brings this capability to coastal communities. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.coast.noaa.gov/slr/. Some of the features of this tool are: 1. Displays potential future sea levels 2. Provides simulations of sea level rise at local landmarks 3. Communicates the spatial uncertainty of mapped sea levels 4. Models potential marsh migration due to sea level rise 5. Overlays social and economic data onto potential sea level rise 6. Examines how tidal flooding will become more frequent with sea level rise

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the NOAA Lake Level Viewer. It depicts potential lake level rise and fall and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at lake level change, coastal flooding impacts, and exposed lakeshore. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The NOAA Lake Level Viewer may be accessed at: https://coast.noaa.gov/llv. This metadata record describes the Lake Superior digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Lake Level Viewer described above. This DEM includes the best available lidar, US Army Corps of Engineer dredge surveys, and National Park Service multibeam data known to exist at the time of DEM creation that met project specifications. This DEM includes data for Alger, Baraga, Chippewa, Gogebic, Houghton, Keweenaw, Luce, Marquette, and Ontonagon counties in Michigan; Cook, Lake, and St. Louis counties in Minnesota; and Ashland, Bayfield, Douglas, and Iron counties in Wisconsin. The DEM was produced from the following lidar data sets: 1. 2007, USACE NCMP Topobathy Lidar: Lake Superior (Apostle Islands) and Lake Ontario (NY, WI) 2. 2008, USACE NCMP Topobathy Lidar: Lake Superior (Wisconsin and Michigan) 3. 2009, USACE NCMP Topobathy Lidar: Lake Superior (Duluth, MN) 4. 2009, USACE NCMP Topobathy Lidar: Isle Royale (MI) 5. 2009, USACE NCMP Topobathy Lidar: Apostle Islands, Wisconsin 6. 2009, USACE Lidar: Duluth, MN and Superior, WI (Including shoreline in Douglas, Bayfield, Ashland, and Iron Counties) 7. 2010, EPA Great Lakes Restoration Initiative (GLRI) Bathymetric Lidar: Lake Superior (MI, MN, WI) 8. 2011, USACE NCMP Topobathy Lidar: MI/NY Great Lakes 9. 2011, Northeast Minnesota / Arrowhead Lidar 10. 2013, USACE NCMP Topobathy Lidar: Stamp Sands, Lake Superior (MI) 11. 2013, USACE NCMP Topobathy Lidar: St. Marys River (MI) 12. 2013, USACE NCMP Topobathy Lidar: Lake Superior (MI) 13. 2015, FEMA Ashland County 14. 2016, USACE NCMP Topobathy Lidar: Stamp Sands (MI) The DEM was produced from the following sonar data sets: 15. USACE Harbor Dredge Surveys (9 surveys) 16. 2013, National Park Service, Pictured Rocks National Lakeshore Multibeam Sonar 17. 2014, National Park Service, Pictured Rocks National Lakeshore Multibeam Sonar The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal fl...

ESI data characterize the marine and coastal environments and wildlife based on sensitivity to spilled oil. There are three main components: shoreline habitats, sensitive biological resources, and human-use resources. The shoreline and intertidal areas are ranked based on sensitivity determined by: (1) Shoreline type (substrate, grain size, tidal elevation, origin); (2) Exposure to wave and tid...

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal fl...

PROTOTYPE - Under Development - Not to be relied upon for Operational Use. Visit weather.gov for operational information.This Experimental ArcGIS Online Web Map is maintained by the National Weather Service in Morristown Tennessee (MRX), and is the primary mapping application used by the MRX Data Viewer Web Map Application, both or which are designed as a self briefing tool among the IDSS (Impact-based Decision Support Services) initiative. IDSS is forecast advice and interpretative services to assist core partners’ decision-making when weather, water, or climate has a direct impact on the protection of lives and property. As a part of the overall IDSS briefing suite of webpages, this mapping application provides these core partners with pertinent, timely, and reliable information to aid their decision making processes.Note: This is a supporting layer and not intended for individual use.

This web map is a component used to supply data to the newest version of the NCEI Bathymetric Data Viewer. The new viewer is still under development and not yet available.More information about bathymetric data at NCEI

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientist...

The Local Climatological Data Map Viewer provided by NOAA's National Centers for Environmental Information (NCEI) is an interactive map providing access to metadata, data, and images about local climatological data.

Layers available on the interactive map Local Climatological Data

Usage Tips Click on map to identify data of interest (or use the available tools to define a rectangular area) Results will appear on left, showing samples near the click point. Mouse-over the list to highlight data on the map In the results, click on an entry to view the station details and to access data

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer depicting potential water level increase and decrease in the coastal areas of the Great Lakes. The lakes included are: Erie, Huron, Michigan, Ontario, St. Clair, and Superior. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at lake level change and potential coastal impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses to help users examine multiple scenarios and prioritize actions. The Lake Level Viewer may be accessed at: https://coast.noaa.gov/llv These data depict the mapping confidence of the associated lake water level data for the water level amounts of -6 feet through +6 feet. The mapping process is designed to give the most accurate picture of water extent possible, but inherent data errors introduce some uncertainty in the exact water extents. The presentation of data confidence only represents the known error in the elevation data and not uncertainty associated with the natural evolution of the coastal landforms (e.g., erosion or bluff failure) or future climate change impacts on lake levels. To access the associated data to be used with this data: NOAA Office for Coastal Management Lake Level Data: -6 Feet to +6 Feet Water Level Change data may be downloaded at: https://coast.noaa.gov/llv The NOAA Office for Coastal Management has tentatively adopted an 80 percent rank (as either inundated or not inundated) as the zone of relative confidence. The use of 80 percent has no special significance but is a commonly used rule of thumb measure to describe economic systems (Epstein and Axtell, 1996). The method used to determine the confidence data only includes the uncertainty in the lidar derived elevation data (root mean square error, or RMSE). This confidence data shows that the water level depicted in the -6 feet to +6 feet water level change data is not really a hard line, but rather a zone with greater and lesser chances of being wet or dry. Areas that have a high level of confidence that they will be wet, means that there is an 80 percent or greater likelihood that these areas will be covered with water. Conversely, there is a 20 percent or less likelihood that the area will be dry. Areas mapped as wet (inundation) with a high confidence (or low uncertainty) are coded as 2. Areas that have a high level of confidence that they will be dry, means that there is an 80 percent or greater likelihood that these areas will be dry. Conversely, there is a 20 percent or less likelihood that the area will be wet. Areas mapped as dry (no inundation) with a high confidence (or low uncertainty) are coded as 0. Areas that have a low level of confidence, means that there is a 21 - 79 percent likelihood of wet or dry conditions. Note that 60 percent of the time, the land-water interface will be within this zone. Areas mapped as dry or wet with a low confidence (or high uncertainty) are coded as 1. As with all remotely sensed data, all features should be verified with a site visit. The data are provided as is, without warranty to their performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of these data is assumed by the user. This data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes. For a detailed description of the confidence level and its computation, please see the Mapping Inundation Uncertainty document available at: http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1

This web map is a component used to supply data to the newest version of the NCEI Bathymetric Data Viewer. The new viewer is still under development and not yet available.More information about bathymetric data at NCEI

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer depicting potential water level increase and decrease in the coastal areas of the Great Lakes. The lakes included are: Erie, Huron, Michigan, Ontario, St. Clair, and Superior. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at lake level change and potential coastal impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses to help users examine multiple scenarios and prioritize actions. The Lake Level Viewer may be accessed at https://coast.noaa.gov/llv. These data consist of 13 water extent polygons and 13 water depth rasters (3 m resolution, depth values in meters) that show the potential water level when the water level is decreased from 0 feet to -6 feet (resulting in potential land exposure) and when water level is increased from 0 to +6 feet (resulting in potential flooding). These data are based on the each lake's long term average water level over the period of record (1913-2008). More information on the long term average water level can be found at https://www.glerl.noaa.gov//pubs/fulltext/2013/20130021.pdf, https://www.glerl.noaa.gov//pubs/fulltext/2013/20130022.pdf, and the Great Lakes Water Level Dashboard (https://www.glerl.noaa.gov/data/dashboard/GLWLD.html). The process used to produce the data can be described as a bathtub approach. The process uses two source data sets to derive the final water extent polygons and water depth rasters for each iteration of water level decrease or increase: the Digital Elevation Model (DEM) of the area and each lake's long term average water level over the period of record (1918-2017) at the time of data set creation. Data can be downloaded at https://coast.noaa.gov/llv. The model used to produce these data does not account for erosion, subsidence, or any future construction. Water levels are as they would appear during calm conditions (excludes wind-driven effects). As with all remotely sensed data, all features should be verified with a site visit. The data are provided as is, without warranty to their performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of these data is assumed by the user. This data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

THIS MAP IS NOT AUTHORITATIVE. SEE TERMS OF USE BELOW.This web map was developed by the National Oceanic and Atmospheric Administration’s (NOAA) Office for Coastal Management and is featured in the U.S. Great Lakes Collaborative Benthic Habitat Mapping Common Operating Dashboard in support of the Collaborative Benthic Habitat Mapping in the Nearshore Waters of the Great Lakes Basin Project. This multi-year, multi-agency project is funded through the Great Lakes Restoration Initiative (GLRI) and focuses on new bathymetric data (airborne lidar and vessel based sonar) acquisition, validation, and benthic habitat characterization mapping of the nearshore waters (0-80 meters) in the U.S. Great Lakes. This project also contributes to the regional Lakebed 2030 campaign, which aims to have high-density bathymetric data available for the entirety of the Great Lakes by 2030. This web map contains data layers reflecting the current status of bathy data coverage in the nearshore (0-80 meters) of the U.S. Great Lakes, including acquisition (lidar and multibeam sonar), ground-truthing/validation, and benthic habitat mapping and characterization. Acquisition layers include coverage areas that have been acquired and are available for public use (green) as well as those that have been acquired, but are not yet available or are still in progress (orange). The nearshore water depth layers (0-25 and 25-80 meters) were created using the National Centers for Environmental Information (NCEI) Great Lakes Bathymetry (3-second resolution) grid extracts. The 0 to 25 meter nearshore water depth layer represents areas where bathymetric lidar data acquisition could ideally be conducted, depending on water condition and turbidity. The 25 to 80 meter layer shows locations where acoustic data acquisition can occur. See below for information on additional data layers. All data originally projected in the following coordinate system: EPSG:3175, NAD 1983 Great Lakes and St Lawrence Albers.This map will continue to be updated as new information is made available.Source Data for Bathy Coverage Layers - Acquired/Available:Topobathy and Bathy Lidar (NOAA's Data Access Viewer: https://coast.noaa.gov/dataviewer/#/; U.S. Interagency Elevation Inventory (USIEI): https://coast.noaa.gov/inventory/). Multibeam Sonar (National Centers for Environmental Information (NCEI) Bathymetric Data Viewer: https://www.ncei.noaa.gov/maps/bathymetry/; NOAA's Data Access Viewer: https://coast.noaa.gov/dataviewer/#/; U.S. Interagency Elevation Inventory (USIEI): https://coast.noaa.gov/inventory/; USGS ScienceBaseCatalog: https://www.sciencebase.gov/catalog/item/656e229bd34e7ca10833f950)Source Data for Bathy Coverage Layers - GLRI AOIs (2020-2024):Acquisition: NOAA Office for Coastal ManagementValidation/CMECS Characterizations: NOAA National Centers for Coastal Ocean Science (NCCOS)Source Data for Bathy Coverage Layers - In Progress and Planned:NOAA Office of Coast Survey Plans: https://gis.charttools.noaa.gov/arcgis/rest/services/Hydrographic_Services/Planned_Survey_Areas/MapServer/0NOAA Office for Coastal ManagementSource Data for Nearshore Water Depths:NOAA's National Centers for Environmental Information (NCEI) Great Lakes Bathymetry (3-second resolution) grid extracts: https://www.ncei.noaa.gov/maps/grid-extract/Source Data for Spatial Prioritization Layers:Great Lakes Spatial Priorities Study Results Jun 2021. https://gis.charttools.noaa.gov/arcgis/rest/services/IOCM/GreatLakes_SPS_Results_Jun_2021/MapServerMapping priorities within the proposed Wisconsin Lake Michigan National Marine Sanctuary (2018). https://gis.ngdc.noaa.gov/arcgis/rest/services/nccos/BiogeographicAssessments_WILMPrioritizationResults/MapServerThunder Bay National Marine Sanctuary Spatial Prioritization Results (2020). https://gis.ngdc.noaa.gov/arcgis/rest/services/nccos/BiogeographicAssessments_TBNMSPrioritizationResults/MapServerSource Data for Supplemental Data Layers:International Boundary Commission U.S./Canada Boundary (version 1.3 from 2018): https://www.internationalboundarycommission.org/en/maps-coordinates/coordinates.phpNational Oceanic and Atmospheric Administration (NOAA) HydroHealth 2018 Survey: https://wrecks.nauticalcharts.noaa.gov/arcgis/rest/services/Hydrographic_Services/HydroHealth_2018/ImageServerNational Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas (MPA) Inventory 2023-2024: https://www.fisheries.noaa.gov/inport/item/69506National Oceanic and Atmospheric Administration (NOAA) National Marine Sanctuary Program Boundaries (2021): https://services2.arcgis.com/C8EMgrsFcRFL6LrL/arcgis/rest/services/ONMS_2021_Boundaries/FeatureServerNational Oceanic and Atmospheric Administration (NOAA) U.S. Bathymetry Gap Analysis: https://noaa.maps.arcgis.com/home/item.html?id=4d7d925fc96d47d9ace970dd5040df0aU.S. Environment Protection Agency (EPA) Areas of Concern: https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/epa_areas_of_concern_glahf_viewlayer/FeatureServerU.S. Geological Survey (USGS) Great Lakes Subbasins: https://www.sciencebase.gov/catalog/item/530f8a0ee4b0e7e46bd300dd Latest update: February 20, 2025

The Global Forecast System (GFS) is a weather forecast model produced by the National Centers for Environmental Prediction (NCEP). Dozens of atmospheric and land-soil variables are available through this dataset, from temperatures, winds, and precipitation to soil moisture and atmospheric ozone concentration. The GFS data files stored here can be immediately used for OAR/ARL’s NOAA-EPA Atmosphere-Chemistry Coupler Cloud (NACC-Cloud) tool, and are in a Network Common Data Form (netCDF), which is a very common format used across the scientific community. These particular GFS files contain a comprehensive number of global atmosphere/land variables at a relatively high spatiotemporal resolution (approximately 13x13 km horizontal, vertical resolution of 127 levels, and hourly), are not only necessary for the NACC-Cloud tool to adequately drive community air quality applications (e.g., U.S. EPA’s Community Multiscale Air Quality model; https://www.epa.gov/cmaq), but can be very useful for a myriad of other applications in the Earth system modeling communities (e.g., atmosphere, hydrosphere, pedosphere, etc.). While many other data file and record formats are indeed available for Earth system and climate research (e.g., GRIB, HDF, GeoTIFF), the netCDF files here are advantageous to the larger community because of the comprehensive, high spatiotemporal information they contain, and because they are more scalable, appendable, shareable, self-describing, and community-friendly (i.e., many tools available to the community of users). Out of the four operational GFS forecast cycles per day (at 00Z, 06Z, 12Z and 18Z) this particular netCDF dataset is updated daily (/inputs/yyyymmdd/) for the 12Z cycle and includes 24-hr output for both 2D (gfs.t12z.sfcf$0hh.nc) and 3D variables (gfs.t12z.atmf$0hh.nc).

Also available are netCDF formatted Global Land Surface Datasets (GLSDs) developed by Hung et al. (2024). The GLSDs are based on numerous satellite products, and have been gridded to match the GFS spatial resolution (~13x13 km). These GLSDs contain vegetation canopy data (e.g., land surface type, vegetation clumping index, leaf area index, vegetative canopy height, and green vegetation fraction) that are supplemental to and can be combined with the GFS meteorological netCDF data for various applications, including NOAA-ARL's canopy-app. The canopy data variables are climatological, based on satellite data from the year 2020, combined with GFS meteorology for the year 2022, and are created at a daily temporal resolution (/inputs/geo-files/gfs.canopy.t12z.2022mmdd.sfcf000.global.nc)

In this project, we use the Light Detection and Ranging (LiDAR) data to create the Digital Elevation Model (DEM). The LiDAR data can be downloaded through the Data Access Viewer of NOAA ( https://coast.noaa.gov/dataviewer/#/lidar/search/). For Maui, the majority of the DEM is created using the data of 2013 U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP) Topobathy LiDAR – Local Mean Sea Level (LMSL). For some areas not covered by this data set, we use the LiDAR data from 2006 FEMA LiDAR: Hawaiian Islands and 2007 JALBTCX Hawaii LiDAR: North Coasts of Hawaii (Big Island), Kauai, Maui, Molokai, Oahu, which are accessed in the Data Access Viewer of NOAA. Please read “Description of Digital Elevation Model (DEM) for Maui, Hawaii.docx” for detailed information.

This is the webmap item for the Office of Coast Survey's ENC Direct to GIS viewer. The layers include information used to feed the application and are the basis for the data extraction. More information about ENC Direct to GIS:ENC Direct to GIS displays and allows downloading of NOAA ENC data in a variety of GIS/CAD formats, using web mapping services. The NOAA ENC data are in International Hydrographic Organization (IHO) S-57 format, which is the data standard for the exchange of digital hydrographic data. Nautical chart features contained within a NOAA ENC provide a detailed representation of the U.S. coastal and marine environment. This data includes coastal topography, bathymetry, landmarks, geographic place names, and marine boundaries. Features in a NOAA ENC are limited in that they only represent the geographic region depicted in that particular ENC. Aggregating nautical features from all NOAA ENCs in the creation of GIS data results in a contiguous depiction of the U.S. coastal and marine environment.List of ServicesHelp

NEW GOES-19 Data!! On April 4, 2025 at 1500 UTC, the GOES-19 satellite will be declared the Operational GOES-East satellite. All products and services, including NODD, for GOES-East will transition to GOES-19 data at that time. GOES-19 will operate out of the GOES-East location of 75.2°W starting on April 1, 2025 and through the operational transition. Until the transition time and during the final stretch of Post Launch Product Testing (PLPT), GOES-19 products are considered non-operational regardless of their validation maturity level. Shortly following the transition of GOES-19 to GOES-East, all data distribution from GOES-16 will be turned off. GOES-16 will drift to the storage location at 104.7°W. GOES-19 data should begin flowing again on April 4th once this maneuver is complete.

NEW GOES 16 Reprocess Data!! The reprocessed GOES-16 ABI L1b data mitigates systematic data issues (including data gaps and image artifacts) seen in the Operational products, and improves the stability of both the radiometric and geometric calibration over the course of the entire mission life. These data were produced by recomputing the L1b radiance products from input raw L0 data using improved calibration algorithms and look-up tables, derived from data analysis of the NIST-traceable, on-board sources. In addition, the reprocessed data products contain enhancements to the L1b file format, including limb pixels and pixel timestamps, while maintaining compatibility with the operational products. The datasets currently available span the operational life of GOES-16 ABI, from early 2018 through the end of 2024. The Reprocessed L1b dataset shows improvement over the Operational L1b products but may still contain data gaps or discrepancies. Please provide feedback to Dan Lindsey (dan.lindsey@noaa.gov) and Gary Lin (guoqing.lin-1@nasa.gov). More information can be found in the GOES-R ABI Reprocess User Guide.


NOTICE: As of January 10th 2023, GOES-18 assumed the GOES-West position and all data files are deemed both operational and provisional, so no ‘preliminary, non-operational’ caveat is needed. GOES-17 is now offline, shifted approximately 105 degree West, where it will be in on-orbit storage. GOES-17 data will no longer flow into the GOES-17 bucket. Operational GOES-West products can be found in the GOES-18 bucket.

GOES satellites (GOES-16, GOES-17, GOES-18 & GOES-19) provide continuous weather imagery and monitoring of meteorological and space environment data across North America. GOES satellites provide the kind of continuous monitoring necessary for intensive data analysis. They hover continuously over one position on the surface. The satellites orbit high enough to allow for a full-disc view of the Earth. Because they stay above a fixed spot on the surface, they provide a constant vigil for the atmospheric "triggers" for severe weather conditions such as tornadoes, flash floods, hailstorms, and hurricanes. When these conditions develop, the GOES satellites are able to monitor storm development and track their movements. SUVI products available in both NetCDF and FITS.

This digital elevation model (DEM) is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer. The DEM includes best available lidar data known to exist at the time of DEM creation that meets project specifications for those counties within the boundary of the Medford, OR Weath...

This is an image service providing a shaded relief visualization of bathymetric/topographic digital elevation models stewarded at NOAA's National Centers for Environmental Information (NCEI). This service provides a color shaded relief visualization of the data; for elevation/depth values in meters, please see the related DEM Global Mosaic (Elevation Values) or DEM Mosaic (Individual DEMs) services.

The DEM Global Mosaic is an image service providing access to bathymetric/topographic digital elevation models stewarded at NOAA's National Centers for Environmental Information (NCEI), along with global and regional grids such as GEBCO_2019, IBCAO, IBCSO, and the Hawaiian Island Multibeam Synthesis (University of Hawaii). This service provides a color shaded relief visualization, for elevation/depth values in meters, please see the related DEM Global Mosaic (Elevation Values) service.

There are 5 related image services providing access to Digital Elevation Models:

• DEM Mosaic (Individual DEMs)
  
• DEM Global Mosaic (Elevation Values)
  
• DEM Global Mosaic (Color Shaded Relief)
  
• DEM Tiles Mosaic (Newer Tiled DEMs; Elevation Values)
  
• DEM Tiles Mosaic (Newer Tiled DEMs; Color Shaded Relief)
  

NCEI builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. They can be used for modeling of coastal processes (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness. For more information about coastal DEMs at NCEI, please see: http://ngdc.noaa.gov/mgg/coastal/coastal.html or learn more from our DEM Fact Sheet (1 MB PDF).

This service is a general-purpose global, seamless bathymetry/topography mosaic. It combines DEMs from a variety of near sea-level vertical datums, such as mean high water (MHW), mean sea level (MSL), and North American Vertical Datum of 1988 (NAVD88). No conversion/harmonization of vertical datums was performed. Because the mosaic contains "overviews" for performance, individual DEMs cannot be separated from the others. Individual DEMs, or smaller subsets, are available in the companion DEM Mosaic (Individual DEMs) image service.

By default, the DEMs are drawn in order of cell size, with higher-resolution grids displayed on top of lower-resolution grids. If overlapping DEMs have the same resolution, the newer one is shown.

The DEMs can be viewed in NCEI's Bathymetric Data Viewer along with other bathymetric datasets stewarded at NCEI.

Please see NCEI's corresponding DEM Footprints map service for polygon footprints and more information about the individual DEMs used to create this composite view. The newer 1/3 and 1/9 arcsecond "tiled" DEMs are hosted by NOAA's Office for Coastal Management; please see the Data Access Viewer for access to these data. View these services together in a single combined map.

In this visualization, the elevations/depths are displayed using this color ramp:


THREDDS catalog (for extracting/downloading DEMs)