MetOffice/CSET
Nov 2024 – Jan 2026
4 Months active
Languages Used
PythonYAMLConfigurationN/AShell
Technical Skills
Backend DevelopmentPythonConfiguration ManagementData AnalysisMeteorologySoftware Development
Sana Mahmood
PROFILE
Sana Mahmood
Sana Mahmood contributed to the MetOffice/CSET repository by developing and refining aviation diagnostics and visualization tools over a four-month period. She implemented new Python-based features for detecting aviation fog, enhanced plot metadata for reporting reliability, and improved model color mapping to support clearer visual comparisons. Her work involved configuration management using YAML and Shell scripting, as well as data analysis and visualization to support operational forecasting. Sana addressed issues such as metadata cleanliness and visualization clarity, reorganized diagnostic recipes for maintainability, and ensured robust version control. Her engineering demonstrated attention to detail and improved the reliability of automated weather analytics.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
9Total
Bugs
2
Commits
9
Features
4
Lines of code
688
Activity Months4
Your Network
66 peopleWork History
January 2026
1 Commits
Jan 1, 2026January 2026 monthly summary for MetOffice/CSET: Delivered a critical fix to the model color mapping to enhance visualization clarity when models have more than ten categories. The update corrects labeling and ordering by switching to a human-friendly sorting approach, directly addressing issue #1846 and improving interpretability for model comparisons.
1 Commits
Jan 1, 2026January 2026 monthly summary for MetOffice/CSET: Delivered a critical fix to the model color mapping to enhance visualization clarity when models have more than ten categories. The update corrects labeling and ordering by switching to a human-friendly sorting approach, directly addressing issue #1846 and improving interpretability for model comparisons.
January 2026
October 2025
4 Commits • 2 Features
Oct 1, 2025Concise monthly summary for 2025-10 focused on MetOffice/CSET work. Delivered core aviation diagnostics capability and improved repository hygiene by reorganizing diagnostic recipes and cleaning configuration, enabling more reliable forecasting support and faster CI feedback. Highlights include added aviation fog presence diagnostic, recipe reorganization, help text corrections, removal of deprecated config, and PR-check quality fixes.
October 2025
4 Commits • 2 Features
Oct 1, 2025Concise monthly summary for 2025-10 focused on MetOffice/CSET work. Delivered core aviation diagnostics capability and improved repository hygiene by reorganizing diagnostic recipes and cleaning configuration, enabling more reliable forecasting support and faster CI feedback. Highlights include added aviation fog presence diagnostic, recipe reorganization, help text corrections, removal of deprecated config, and PR-check quality fixes.
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Key work: Delivered Aviation Fog Diagnostics and Visualization in MetOffice/CSET, with configurations for spatial plots, domain mean time series, and spatial differences to analyze fog presence (visibility < 1 km). Resolved issue #1560 with commit cffead57920766505ed936d6eb1a2ecd47bb9a8f, enhancing detection reliability. This contributes to improved aviation safety awareness and forecast utility.
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Key work: Delivered Aviation Fog Diagnostics and Visualization in MetOffice/CSET, with configurations for spatial plots, domain mean time series, and spatial differences to analyze fog presence (visibility < 1 km). Resolved issue #1560 with commit cffead57920766505ed936d6eb1a2ecd47bb9a8f, enhancing detection reliability. This contributes to improved aviation safety awareness and forecast utility.
September 2025
November 2024
3 Commits • 1 Features
Nov 1, 2024Monthly summary for 2024-11 focused on MetOffice/CSET. Delivered two main features with targeted fixes and demonstrated strong data-cleaning and metadata practices, producing tangible business value in reporting and visualization reliability.
November 2024
3 Commits • 1 Features
Nov 1, 2024Monthly summary for 2024-11 focused on MetOffice/CSET. Delivered two main features with targeted fixes and demonstrated strong data-cleaning and metadata practices, producing tangible business value in reporting and visualization reliability.
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture89.0%
Performance88.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
ConfigurationN/APythonShellYAML
Technical Skills
Backend DevelopmentConfiguration ManagementData AnalysisMeteorologyPythonPython scriptingSoftware Developmentdata visualizationsoftware development
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