Software Paper published on the Geoscience Data Journal

Glad to announce the publication of our open-source software paper, “falwa: Python Package to Implement Finite-Amplitude Local Wave Activity Diagnostics on Climate Data”, to celebrate our collaborative effort (after work, since 2018!) to make this physics-based diagnostic for extreme weather events easily accessible to the scientific community. 😊

• 🔗 Link to the paper: https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/gdj3.70006
• 📦 Package Repo: https://github.com/csyhuang/hn2016_falwa/

From now on, users can cite our publication as follows:

Huang, C.S.Y., Polster, C., & Nakamura, N. (2025). falwa: Python package to implement Finite-amplitude Local Wave Activity diagnostics on climate data. Geoscience Data Journal, 12(2), e70006.

Or if you are using BibTex:

@article{falwa_csyhuang_cpolster,
  author={Clare S. Y. Huang and Christopher Polster and Noboru Nakamura},
  title={falwa: Python package to implement Finite-amplitude Local Wave Activity diagnostics on climate data},
  journal={Geoscience Data Journal},
  year = {2025},
  doi = {10.1002/GDJ3.70006},
  publisher={Wiley Online Library}}