COSIMA/cosima-recipes
May 2025 – Oct 2025
3 Months active
Languages Used
PythonJupyter Notebook
Technical Skills
Data AnalysisJupyter NotebooksOceanographyPythonScientific ComputingData Visualization
Adele Morrison
PROFILE
Adele Morrison
Adele Morrison contributed to the COSIMA/cosima-recipes repository by enhancing oceanographic data analysis workflows using Python, Jupyter Notebooks, and Xarray. She refactored the overturning circulation calculation for MOM6, introducing the new_psi_avg variable and improving visualization clarity with updated axis labels and color bars. Adele also improved the reliability of water mass transformation diagnostics by correcting the water flux input, ensuring alignment with model expectations and reducing downstream interpretation risks. Additionally, she streamlined the repository by removing outdated plotting and analysis recipes, which improved maintainability and pedagogical focus. Her work demonstrated careful attention to analytical accuracy and reproducibility.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
17,013
Activity Months3
Your Network
63 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a targeted enhancement to the overturning circulation workflow for MOM6 in COSIMA/cosima-recipes. Key work refactored the overturning-circulation calculation recipe for MOM6 and updated visualization components to leverage a new variable, new_psi_avg, with refined axis labels and color bar details to improve interpretation and downstream analysis. The change is isolated to the MOM6 implementation and tracked in commit d72fc22be53419bc220d033b969a8177ac5bd2c9, titled 'Modified Overturning recipe for MOM6 only (#633)'.
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a targeted enhancement to the overturning circulation workflow for MOM6 in COSIMA/cosima-recipes. Key work refactored the overturning-circulation calculation recipe for MOM6 and updated visualization components to leverage a new variable, new_psi_avg, with refined axis labels and color bar details to improve interpretation and downstream analysis. The change is isolated to the MOM6 implementation and tracked in commit d72fc22be53419bc220d033b969a8177ac5bd2c9, titled 'Modified Overturning recipe for MOM6 only (#633)'.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025In 2025-09, delivered a focused cleanup in COSIMA/cosima-recipes by removing four outdated, non-pedagogical plotting/data-analysis recipes (temperature/velocity anomaly workflows) to reduce clutter, prevent confusion, and sharpen the pedagogical focus. The change was committed as 7e80ff723e12c85eb6f6f133ddabc07b684b0321. This maintenance effort enhances repository maintainability, aligns content with current teaching goals, and reduces support overhead for students and contributors.
September 2025
1 Commits • 1 Features
Sep 1, 2025In 2025-09, delivered a focused cleanup in COSIMA/cosima-recipes by removing four outdated, non-pedagogical plotting/data-analysis recipes (temperature/velocity anomaly workflows) to reduce clutter, prevent confusion, and sharpen the pedagogical focus. The change was committed as 7e80ff723e12c85eb6f6f133ddabc07b684b0321. This maintenance effort enhances repository maintainability, aligns content with current teaching goals, and reduces support overhead for students and contributors.
May 2025
1 Commits
May 1, 2025May 2025 summary: Focused on reliability and correctness of water mass transformation diagnostics in COSIMA/cosima-recipes. Implemented a precise diagnostic mapping fix in Surface_Water_Mass_Transformation to use pme_river instead of pme_net, aligning with the model's expected inputs. The change enhances data processing accuracy, reduces downstream interpretation risk, and strengthens the reproducibility of analyses.
1 Commits
May 1, 2025May 2025 summary: Focused on reliability and correctness of water mass transformation diagnostics in COSIMA/cosima-recipes. Implemented a precise diagnostic mapping fix in Surface_Water_Mass_Transformation to use pme_river instead of pme_net, aligning with the model's expected inputs. The change enhances data processing accuracy, reduces downstream interpretation risk, and strengthens the reproducibility of analyses.
May 2025
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Quality Metrics
Correctness86.6%
Maintainability93.4%
Architecture93.4%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data AnalysisData VisualizationJupyter NotebooksMatplotlibNetCDFOceanographyOceanography Data AnalysisPythonScientific ComputingXarray
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