Bathy Tooling
Jim Coll, Arash Modaresi Rad, J. Michael Johnson, Dami Eyelade, Angus Watters, Justin Singh-Mohudpur
If I have seen further than others, it is by standing upon the shoulders of giants.�
- Isaac Newton
If I have seen further than others, it is by standing upon the shoulders of giants.�
- Isaac Newton
Findable Accessible�Interoperable Reusable
&
Analysis-ready�Cloud Optimized
To Google Gemini: �Can you draw me a picture of loosely humanized satellite in the position of a sprinter athlete?
A (FIM-centric) timeline of bathymetry data
When: 1995
Who: U.S. Army Corp of Engineers
What: A one-dimensional hydraulic solver
National Water Model
Version 1.0: Model Chain
5. Channel &
Reservoir
Routing
Modules
4. NHDPlus Catchment
Aggregation
(2.7M unique
catchments and
river reaches)
2. NoahMP LSM
(1 km grid)
1. NWM Forcing Engine
(1 km grid)
3. Terrain Routing
Module
(250 m grid)
2-way coupling
Forecast
Products
NWM uses NCAR supported community WRF-Hydro system
NWM: http://water.noaa.gov/about/nwm
WRF-Hydro: https://www.ral.ucar.edu/projects/wrf_hydro
Where is bathymetry needed?
Legacy cross section formats
.g## - Geometry definitions
.prj - Projection (can be non-standard proj4 file)
.prj - project file (Defines how a model is set up to run)
.p## – Project file, used to drive the model
.f## - Steady flow boundary conditions
.u## - unsteady flow boundary conditions
.q## - quasi-unsteady flow boundary conditions
.o## - output file
Other notes:
https://webapps.usgs.gov/infrm/estbfe/
https://webapps.usgs.gov/infrm/estbfe/
1.8 TB Zipped
https://maps.austintexas.gov/FloodPro/
https://maps.austintexas.gov/FloodPro/
https://github.com/NOAA-OWP/RRASSLER
https://stacspec.org/en
� ���
7
�
Baseline of learned At a Station Hydraulic Geometry
��
AHGestimation software and associated published at JOSS
https://github.com/mikejohnson51/AHGestimation/
Machine learning using network attributes to predict channel geometry over CONUS using AHG relations
POLARIS
StreamCat
NWM 2.1
Scaled to
Reference Fabric
�
https://github.com/NOAA-OWP/channel-shape-ML
https://github.com/NOAA-OWP/hydrofabric
https://www.lynker-spatial.com
�
CONUS scale representations of river geometry
eHydro database overview
Issue: Grossly inconsistent database structure
Issue: Uncertainty and accuracy of transformations
US Survey Foot�1 ft = (1200/3937) of a meter = 0.3048006096
Foot:�1 ft = 0.3048 meters
Difference of 2 ppm ~0.01 ft/mile
Datum uncertain in transformations:�From obs: ~0.2-0.2 m from vdatum
Terrain blender for cross section creation
Thank you!
Parting thoughts:
Please reach out to collaborate��james.coll@noaa.gov