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mo-jthornton

PROFILE

Mo-jthornton

Developed and integrated an end-to-end Cloud Base Height aviation diagnostics feature for the MetOffice/CSET repository, targeting scenarios with cloud bases below 50 meters. The work involved designing YAML configurations to support time series and spatial plot generation, as well as spatial difference analysis, enabling more granular aviation weather diagnostics. Leveraging Python and YAML, the developer automated workflow integration and introduced aviation weather templates to streamline analysis. Code formatting and configuration management were addressed during the integration process to ensure alignment with project standards. The feature was delivered through a series of focused commits, reflecting a methodical approach to workflow automation and data processing.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

4Total
Bugs
0
Commits
4
Features
1
Lines of code
212
Activity Months1

Work History

October 2025

4 Commits • 1 Features

Oct 1, 2025

Month: 2025-10 — MetOffice/CSET: Cloud Base Height (<50m) Aviation Diagnostics feature delivered, with end-to-end workflow integration, YAML configurations for time series and spatial plots, and aviation weather templates. Minor formatting cleanup completed during integration.

Activity

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Quality Metrics

Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

ConfPythonYAML

Technical Skills

Code FormattingConfiguration ManagementData AnalysisData ProcessingWorkflow Automation

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

MetOffice/CSET

Oct 2025 Oct 2025
1 Month active

Languages Used

ConfPythonYAML

Technical Skills

Code FormattingConfiguration ManagementData AnalysisData ProcessingWorkflow Automation