MetOffice/CSET
Nov 2024 – Nov 2024
1 Month active
Languages Used
Python
Technical Skills
Code RefactoringData AnalysisData ProcessingData RegriddingData StandardizationDebugging
JKPShonk
PROFILE
Jkpshonk
Jon Shonk developed a robust longitude normalization and regridding core for the MetOffice/CSET repository, focusing on reliable handling of geospatial data. He implemented standardized longitude conventions, ensuring coordinates wrap correctly from -180 to 180 degrees, and improved the selection of grid centroids for accurate regridding. Using Python and scientific computing techniques, Jon replaced mean-based calculations with median-based ones to enhance robustness against outliers. He expanded and refined unit tests to cover edge cases in longitude transformations and grid rotations, updated documentation, and introduced utilities for validating coordinate handling, resulting in a more reliable and maintainable climate data processing pipeline.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
13Total
Bugs
0
Commits
13
Features
2
Lines of code
214
Activity Months1
Your Network
58 people
Work History
November 2024
13 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for MetOffice/CSET: focused on delivering a robust longitude normalization and regridding core, and enhancing regridding tests to improve reliability and edge-case coverage. The work reduces the risk of incorrect grid alignment in downstream climate data processing and strengthens the overall pipeline reliability.
13 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for MetOffice/CSET: focused on delivering a robust longitude normalization and regridding core, and enhancing regridding tests to improve reliability and edge-case coverage. The work reduces the risk of incorrect grid alignment in downstream climate data processing and strengthens the overall pipeline reliability.
November 2024
Activity
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Quality Metrics
Correctness80.8%
Maintainability83.0%
Architecture69.2%
Performance67.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Code RefactoringData AnalysisData ProcessingData RegriddingData StandardizationDebuggingDocumentationGeospatial AnalysisPythonPython DevelopmentScientific ComputingTestingUnit Testing
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