MetOffice/CSET
Oct 2025 – Oct 2025
1 Month active
Languages Used
PythonShellYAMLconf
Technical Skills
Configuration ManagementData AnalysisDocumentationWeather Modeling
AlfieBG
PROFILE
Alfiebg
Alfie focused on developing thick fog presence diagnostics for the MetOffice/CSET repository, delivering a feature that detects and reports fog events where visibility falls below 100 meters. He implemented new configuration files and diagnostic recipes using Python, YAML, and Shell, enabling domain mean time series analysis, spatial plotting, and spatial difference calculations. Alfie updated Rose workflow metadata and documentation to standardize fog reporting and support operational readiness for winter weather monitoring. His work emphasized configuration management and data analysis, resulting in a robust, repeatable process that enhances the accuracy and clarity of fog-related diagnostics within the CSET pipeline.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
1
Lines of code
188
Activity Months1
Your Network
23 peopleWork History
October 2025
7 Commits • 1 Features
Oct 1, 2025Month: 2025-10 – Focused on delivering Thick Fog Presence diagnostics for MetOffice/CSET, establishing a robust capability to detect fog events and visualize/report them. The feature defines thick fog as visibility <= 100 m and includes configuration updates for domain_mean_time_series, spatial plots, and spatial differences, along with updated documentation to standardize fog reporting. No major bugs fixed this period; maintenance concentrated on diagnostics metadata and recipes to support repeatable winter fog reporting and operational readiness. This work enhances forecast decision support and reporting quality for fog-related events.
7 Commits • 1 Features
Oct 1, 2025Month: 2025-10 – Focused on delivering Thick Fog Presence diagnostics for MetOffice/CSET, establishing a robust capability to detect fog events and visualize/report them. The feature defines thick fog as visibility <= 100 m and includes configuration updates for domain_mean_time_series, spatial plots, and spatial differences, along with updated documentation to standardize fog reporting. No major bugs fixed this period; maintenance concentrated on diagnostics metadata and recipes to support repeatable winter fog reporting and operational readiness. This work enhances forecast decision support and reporting quality for fog-related events.
October 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonShellYAMLconf
Technical Skills
Configuration ManagementData AnalysisDocumentationWeather Modeling
Repositories Contributed To
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