Continuously Updated Digital Elevation Models (CUDEMs) to Support Coastal Inundation Modeling

Author:

Amante Christopher J.12ORCID,Love Matthew12,Carignan Kelly12ORCID,Sutherland Michael G.1,MacFerrin Michael12ORCID,Lim Elliot12

Affiliation:

1. Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO 80309, USA

2. National Centers for Environmental Information (NCEI), National Oceanic and Atmospheric Administration (NOAA), Boulder, CO 80305, USA

Abstract

The National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI) generates digital elevation models (DEMs) that range from the local to global scale. Collectively, these DEMs are essential to determining the timing and extent of coastal inundation and improving community preparedness, event forecasting, and warning systems. We initiated a comprehensive framework at NCEI, the Continuously Updated DEM (CUDEM) Program, with seamless bare-earth, topographic-bathymetric and bathymetric DEMs for the entire United States (U.S.) Atlantic and Gulf of Mexico Coasts, Hawaii, American Territories, and portions of the U.S. Pacific Coast. The CUDEMs are currently the highest-resolution, seamless depiction of the entire U.S. Atlantic and Gulf Coasts in the public domain; coastal topographic-bathymetric DEMs have a spatial resolution of 1/9th arc-second (~3 m) and offshore bathymetric DEMs coarsen to 1/3rd arc-second (~10 m). We independently validate the land portions of the CUDEMs with NASA’s Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) observatory and calculate a corresponding vertical mean bias error of 0.12 m ± 0.75 m at one standard deviation, with an overall RMSE of 0.76 m. We generate the CUDEMs through a standardized process using free and open-source software (FOSS) and provide open-access to our code repository. The CUDEM framework consists of systematic tiled geographic extents, spatial resolutions, and horizontal and vertical datums to facilitate rapid updates of targeted areas with new data collections, especially post-storm and tsunami events. The CUDEM framework also enables the rapid incorporation of high-resolution data collections ingested into local-scale DEMs into NOAA NCEI’s suite of regional and global DEMs. Future research efforts will focus on the generation of additional data products, such as spatially explicit vertical error estimations and morphologic change calculations, to enhance the utility and scientific benefits of the CUDEM Program.

Funder

NOAA cooperative agreement

U.S. Geological Survey under Grant/Cooperative Agreement

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference124 articles.

1. NOAA (2022, December 08). What Percentage of the American Population Lives Near the Coast?, Available online: https://oceanservice.noaa.gov/facts/population.html.

2. Amante, C., and Eakins, B. (2009). ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis.

3. Amante, C., Love, M.R., Taylor, L.A., and Eakins, B.W. (2011). Digital Elevation Models of Panama City, Florida: Procedures, Data Sources, and Analysis.

4. Love, M.R., Amante, C., Taylor, L.A., and Eakins, B.W. (2011). Digital Elevation Models of New Orleans, Louisiana: Procedures, Data Sources, and Analysis.

5. Amante, C., Love, M.R., Taylor, L.A., and Eakins, B.W. (2011). Digital Elevation Models of Mobile, Alabama: Procedures, Data Sources, and Analysis.

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