William.Hatheway
Well-known member
I’m pleased to share a web and code development project focused on improving access to WRF-Chem learning resources through a GitHub-hosted documentation portal.
This effort centers on building a maintainable, version-controlled framework for organizing WRF-Chem tutorials, exercises, reference material, and supporting downloads in a more accessible format for the atmospheric science community. From a development standpoint, the project uses GitHub as the backbone for source control, documentation management, site updates, and long-term reproducibility. From a research support standpoint, the goal is to reduce friction for students, educators, and researchers who need structured access to modeling resources.
The repository is available here:
github.com
The portal is available here:

A major motivation behind this work is that computational atmospheric science depends not only on model capability, but also on the quality, stability, and accessibility of its supporting infrastructure. Well-structured documentation, transparent code development, preserved tutorial pathways, and reliable data distribution all contribute to more reproducible scientific workflows and more effective training environments.

This project reflects an ongoing interest in the intersection of atmospheric modeling, scientific computing, research software engineering, and web-based knowledge delivery. I am continuing to refine both the portal and the underlying codebase, with an emphasis on usability, maintainability, and long-term value for the WRF-Chem community.
This effort centers on building a maintainable, version-controlled framework for organizing WRF-Chem tutorials, exercises, reference material, and supporting downloads in a more accessible format for the atmospheric science community. From a development standpoint, the project uses GitHub as the backbone for source control, documentation management, site updates, and long-term reproducibility. From a research support standpoint, the goal is to reduce friction for students, educators, and researchers who need structured access to modeling resources.
The repository is available here:
GitHub - HathewayWill/wrf-chem-site: WRF-Chem website mirror for GitHub Pages. Serves the original documentation under /docs, with a modern /portal landing page, fixed internal links, and a curated downloads.html that routes large tutorial and data a
WRF-Chem website mirror for GitHub Pages. Serves the original documentation under /docs, with a modern /portal landing page, fixed internal links, and a curated downloads.html that routes large tut...
The portal is available here:
WRF-Chem Documentation Portal
hathewaywill.github.io

A major motivation behind this work is that computational atmospheric science depends not only on model capability, but also on the quality, stability, and accessibility of its supporting infrastructure. Well-structured documentation, transparent code development, preserved tutorial pathways, and reliable data distribution all contribute to more reproducible scientific workflows and more effective training environments.

This project reflects an ongoing interest in the intersection of atmospheric modeling, scientific computing, research software engineering, and web-based knowledge delivery. I am continuing to refine both the portal and the underlying codebase, with an emphasis on usability, maintainability, and long-term value for the WRF-Chem community.