
Worked on the COSIMA/cosima-recipes repository to enhance MOM6 ocean model data workflows, focusing on both feature development and critical bug resolution. Delivered a migration of the Neutral_density notebook to support MOM6-only data, removing legacy MOM5 references and integrating new data loading and processing steps for neutral density calculations. Addressed a key bug in the SWMT workflow by implementing correct conversion from potential to conservative temperature, updating file storage paths, and performing targeted code cleanup. Leveraged Python, Xarray, and Jupyter Notebook to improve data reliability, maintainability, and reproducibility, supporting robust scientific computing and streamlined onboarding for MOM6 users.
Month 2025-09: Delivered MOM6-focused enhancement to the Neutral_density notebook in COSIMA/cosima-recipes, migrating away from MOM5 references and adding MOM6 data loading/processing steps for neutral density calculation. No major bugs reported this month.
Month 2025-09: Delivered MOM6-focused enhancement to the Neutral_density notebook in COSIMA/cosima-recipes, migrating away from MOM5 references and adding MOM6 data loading/processing steps for neutral density calculation. No major bugs reported this month.
June 2025 monthly summary: Delivered a critical bug fix in the COSIMA/cosima-recipes SWMT workflow to ensure accurate MOM6 data processing and temperature conversion, enhancing data quality and reliability for downstream analyses. The fixes included correct conversion from potential to conservative temperature, updates to file storage paths, and targeted code cleanup to reduce technical debt and improve maintainability. This work strengthens the end-to-end data pipeline for MOM6 simulations and supports reproducible research.
June 2025 monthly summary: Delivered a critical bug fix in the COSIMA/cosima-recipes SWMT workflow to ensure accurate MOM6 data processing and temperature conversion, enhancing data quality and reliability for downstream analyses. The fixes included correct conversion from potential to conservative temperature, updates to file storage paths, and targeted code cleanup to reduce technical debt and improve maintainability. This work strengthens the end-to-end data pipeline for MOM6 simulations and supports reproducible research.

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