dtcenter/METplus
Dec 2024 – Mar 2025
2 Months active
Languages Used
PythonShellreStructuredText
Technical Skills
Data ProcessingFile HandlingCloud ComputingConfiguration ManagementData AssimilationDocumentation
Dan Adriaansen
PROFILE
Dan Adriaansen
Worked on the dtcenter/METplus repository to enhance meteorological data processing workflows by delivering new verification features and improving reliability. Developed two use cases for verifying GFS forecast fields against GOES satellite and ASOS/METAR observations, utilizing Python scripting and scientific computing techniques for data assimilation and vertical interpolation. Improved configuration management and documentation to support enterprise deployments, including updates to Docker runtime reliability. Additionally, addressed a reproducibility issue by making FLUXNET CSV file processing deterministic through sorted file handling, ensuring consistent results across environments. Focused on robust, traceable solutions that strengthen data processing pipelines and support reproducible scientific analysis.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
896
Activity Months2
Your Network
38 peopleWork History
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 METplus development focused on expanding verification coverage for GFS forecasts against external observations and improving robustness for enterprise deployments. Delivered two new use cases for GOES and ASOS/METAR data, refined processing of forecast variables, and hardening the runtime with Docker retry improvements. These changes position METplus to deliver faster validation feedback and higher confidence in weather and climate decision support workflows.
2 Commits • 1 Features
Mar 1, 2025March 2025 METplus development focused on expanding verification coverage for GFS forecasts against external observations and improving robustness for enterprise deployments. Delivered two new use cases for GOES and ASOS/METAR data, refined processing of forecast variables, and hardening the runtime with Docker retry improvements. These changes position METplus to deliver faster validation feedback and higher confidence in weather and climate decision support workflows.
March 2025
December 2024
1 Commits
Dec 1, 2024December 2024 METplus monthly summary focusing on the deterministic FLUXNET CSV processing bug fix. The change ensures reproducible data analysis by sorting the list of FLUXNET CSV files returned from glob, eliminating nondeterministic file ordering across runs and environments. This improves pipeline reliability, reduces flaky results in data-processing workflows, and enhances auditability of results. The work was scoped to repository dtcenter/METplus and tracked in a single targeted commit referenced below.
December 2024
1 Commits
Dec 1, 2024December 2024 METplus monthly summary focusing on the deterministic FLUXNET CSV processing bug fix. The change ensures reproducible data analysis by sorting the list of FLUXNET CSV files returned from glob, eliminating nondeterministic file ordering across runs and environments. This improves pipeline reliability, reduces flaky results in data-processing workflows, and enhances auditability of results. The work was scoped to repository dtcenter/METplus and tracked in a single targeted commit referenced below.
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonShellreStructuredText
Technical Skills
Cloud ComputingConfiguration ManagementData AssimilationData ProcessingDocumentationFile HandlingMETplusMeteorological Data ProcessingPythonPython ScriptingScientific Computing
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