Contribute to, and advocating for:
a complete national set of bathymetric data
definitions, metadata and data access
Rick Luettich
David Welch
| Rick Luettich | Co-Chair | The University of North Carolina at Chapel Hill | Director, Center for Natural Hazards Resilience |
| David Welch | Co-Chair | NOAA NWS Lower Mississippi River Forecast Center | Development and Operations Hydrologist |
| Christopher Amante | Member | Cooperative Institute for Research in Environmental Sciences at UC Boulder; NOAA National Centers for Environmental Information | Geospatial Research Scientist; CUDEM |
| Shintaro Bunya | Member | The University of North Carolina at Chapel Hill | Research Scientist at Center for Natural Hazards Resilience |
| Matt Cushing | Member | USGS Earth Resources Observation & Science Center | Geographer |
| Jeff Danielson | Member | USGS Earth Resources Observation & Science Center | CoNED Applications Project Chief |
| Clint Dawson | Member | UT Oden Institute for Computational Engineering and Sciences | Chair Dept. of Aerospace Engineering and Engineering Mechanics |
| Derek Giardino | Member | NOAA NWS Office of Water Prediction Geo-Intelligence Division | Flood Inundation Mapping Program Lead |
| Lauren Grimley | Member | The University of North Carolina at Chapel Hill | Dept. of Earth, Marine & Environmental Sciences Postdoctoral Researcher |
| Liliana Hernandez | Member | Contractor with Lynker in support of NOAA NWS Office of Water Prediction Geo-Intelligence Division |
Hydrologic GIS Analyst |
May 19, 2025 Working Group Meeting: Lauren Grimley presented Resolving the Bathymetry of Rivers in Eastern North Carolina for Flood Modeling
June 16, 2025 Working Group Meeting: Lauren Grimley presented Overview of Elevation Data in HEC-RAS 1D Models
Cushing, W. M., & Tyler, D. J. (2024). Mitigating Disparate Elevation Differences between Adjacent Topobathymetric Data Models Using Binary Code. Remote Sensing, 16(18), 3418. https://doi.org/10.3390/rs16183418
Modaresi Rad, A., Johnson, J. M., Ghahremani, Z., Coll, J., & Frazier, N. (2024). Enhancing river channel dimension estimation: A machine learning approach leveraging the National Water Model, hydrographic networks, and landscape characteristics. Journal of Geophysical Research: Machine Learning and Computation, 1(4), e2024JH000173.
Open access python code for riverbed interpolation on GitHub
FEMA's Estimated Base Flood Elevation (estBFE) Viewer and How2 Find the Right HEC-RAS Model PDF
The River Morphology Information System (RIMORPHIS) is a user-friendly, scalable, data and information system for river morphology research
Louisiana: Louisiana Watershed Initiative Statewide Data and Modeling Program
North and South Carolina:
DesignSafe Data Depo Repository for Topobathymetric Digital Elevation Models (DEM) for Flood Modeling in the Carolinas
North Carolina Flood Risk Information System (FRIS)
Texas: Harris County Model & Map Management (M3) System is an interactive mapping tool developed by the Harris County Flood Control District
Email us at: coastal.coupling@noaa.gov
