Published July 19, 2022 | Version v1
Software Open

Codes for "Integrating Connectivity Into Hydrodynamic Models: An Automated Open-Source Method to Refine an Unstructured Mesh Using Remote Sensing"

Authors/Creators

  • 1. The University of Texas at Austin
  • 2. Jet Propulsion Laboratory, California Institute of Technology

Description

Supporting Information for "Integrating Connectivity Into Hydrodynamic Models: An Automated Open-Source Method to Refine an Unstructured Mesh Using Remote Sensing," published in JAMES. Zipped file contains the set of Python image processing tools to embed remotely-sensed channel networks into an ANUGA hydrodynamic model mesh to improve computational efficiency. Most up-to-date version is available on GitHub.

Notes

This work was supported by the NASA Delta-X project, which is funded by the Science Mission Directorate's Earth Science Division through the Earth Venture Suborbital-3 Program NNH17ZDA001N-EVS3

Files

Wright_et_al_2022-Unstructured_Mesh_Refinement_Method.zip

Files (5.4 MB)

Additional details

Related works

Is derived from
Software: https://github.com/passaH2O/meshrefinement (URL)
Is described by
Preprint: 10.31223/X57K9V (DOI)
Is published in
Journal article: 10.1029/2022MS003025 (DOI)