Software availability and reproducibility

The H&H Ensemble Modeling Toolkit (hhemt) is publicly available at https://github.com/lassiterdc/hhemt and on PyPI (pip install hhemt).

License. Released under PolyForm Noncommercial 1.0.0 — free for any noncommercial purpose (see LICENSE).

How to cite. Cite the software via its Zenodo DOI (see the repository's "How to cite" section and CITATION.cff).

Reproducibility. The environment is reproduced from environment.yaml (conda env create); the toolkit installs on top via pip install -e .. Two test tiers guard regressions: a fast synthetic tier and a real-data tier built on the Norfolk, VA case study.

Data availability. The Norfolk case-study inputs are published on HydroShare and download anonymously via the toolkit's integrated case.yaml path.

Reproduce the release. Install → get the Norfolk data → run a predefined experiment → smoke-test with analysis.test(). See the Norfolk end-to-end tutorial.