COSIMA/cosima-recipes
Oct 2025 – Oct 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
DaskData AnalysisData VisualizationPythonScientific ComputingXarray
Noah Day
PROFILE
Noah Day
Noah Day refactored the COSIMA/cosima-recipes repository to standardize Sea Ice Coordinates, focusing on removing dependency fragility and improving model interoperability. He eliminated the reliance on CFxarray by updating the Sea Ice Coordinates notebook to use native xarray operations, which enabled broader compatibility and model-agnostic analysis. Noah refined data loading and coordinate handling to better align with established data analysis practices, enhancing the maintainability and portability of the codebase. His work leveraged Python, Dask, and scientific computing techniques, resulting in a lightweight, dependency-resilient solution that supports more robust downstream analysis pipelines without introducing new bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
5,341
Activity Months1
Your Network
13 peopleSame Organization
@unimelb.edu.au2
Scott WalesMember
Taimoor SohailMember
Shared Repositories
11
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Focused on removing dependency fragility and increasing model interoperability for COSIMA/cosima-recipes. Delivered a refactor to standardize Sea Ice Coordinates by removing CFxarray dependency, enabling broader compatibility and model-agnostic analysis. Updated the Sea Ice Coordinates notebook to rely on standard xarray operations, and refined data loading and coordinate handling to align with common data analysis practices.
1 Commits • 1 Features
Oct 1, 2025October 2025: Focused on removing dependency fragility and increasing model interoperability for COSIMA/cosima-recipes. Delivered a refactor to standardize Sea Ice Coordinates by removing CFxarray dependency, enabling broader compatibility and model-agnostic analysis. Updated the Sea Ice Coordinates notebook to rely on standard xarray operations, and refined data loading and coordinate handling to align with common data analysis practices.
October 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
DaskData AnalysisData VisualizationPythonScientific ComputingXarray
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