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Lizzie Lundgren

PROFILE

Lizzie Lundgren

Worked on the GEOS-ESM/MAPL repository, delivering features and fixes that improved data processing reliability and maintainability in scientific computing workflows. Addressed a time interpolation issue in ExtData by refining conditional logic to process only active IO bundles, ensuring accurate data handling during idle periods. Enhanced grid data integrity by correcting a unit conversion bug and refactored code for readability, adopting descriptive variable names to reduce future defect risk. Expanded data ingestion compatibility by implementing backwards support for non-CF vertical coordinates using a new dimension variable. Utilized Fortran, code refactoring, and data interpolation skills to strengthen end-to-end data workflows.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

4Total
Bugs
2
Commits
4
Features
2
Lines of code
144
Activity Months3

Work History

January 2026

1 Commits • 1 Features

Jan 1, 2026

January 2026 (2026-01) MAPL: Implemented ExtData2G backwards compatibility for non-CF vertical coordinates to correctly interpret and process input files across data formats, expanding compatibility and usability. The change centers on a dimension variable 'lev' to support non-CF vertical coordinates. Commit 8b66447a41f8f9e88fb920cf82ab8ac5ba165945 (ExtData2G backwards compatibility with non-CF vertical coord #4300). Impact: reduces preprocessing overhead for users, broadens data format support, and improves reliability of data ingestion pipelines. Demonstrates data model adaptation, cross-format compatibility, and collaboration via issue #4300.

July 2025

2 Commits • 1 Features

Jul 1, 2025

In July 2025, GEOS-ESM/MAPL delivered essential ExtData grid improvements and resolved a unit-conversion bug, enhancing data integrity and maintainability. Key contributions include a bug fix for ExtData target latitude/longitude handling and a readability-focused refactor of ExtDataGridCompMod.F90, with descriptive variable names to reduce cognitive load and future defects. These changes stabilize grid processing, improve coordinate accuracy, and lay groundwork for easier future maintenance while preserving existing functionality.

May 2025

1 Commits

May 1, 2025

Monthly summary for 2025-05 (GEOS-ESM/MAPL). Key features delivered: - ExtData interpolation guard: added conditional to process only when there are active IO bundles, preventing skipped time interpolation and incorrect data processing when no current reads are present. Commit: 702a452fd0a56cc8256744105ee7368355ad1c09 ("Fix ExtData bug causing time interpolation to be skipped if no current read (#3734)"). Major bugs fixed: - Fixed ExtData bug where time interpolation could be skipped if there were no current reads; adjusted read loop logic to distinguish active vs idle IO scenarios, ensuring data is interpolated correctly whenever reads are available. Overall impact and accomplishments: - Increased data reliability and end-to-end data integrity for downstream analyses. - Reduced risk of data gaps in idle IO periods; improved robustness of the ExtData processing workflow in MAPL. Technologies/skills demonstrated: - Debugging and root-cause analysis in a data processing pipeline. - Conditional logic design for IO/bundle handling. - Version control practices and commit traceability. - Experience with ExtData component in MAPL and integration with I/O workflows.

Activity

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Quality Metrics

Correctness95.0%
Maintainability90.0%
Architecture90.0%
Performance85.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Fortran

Technical Skills

Bug FixingCode RefactoringData InterpolationFortranFortran DevelopmentFortran programmingGrid Data HandlingReadability ImprovementUnit Conversiondata processingscientific computing

Repositories Contributed To

1 repo

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

GEOS-ESM/MAPL

May 2025 Jan 2026
3 Months active

Languages Used

Fortran

Technical Skills

Bug FixingData InterpolationFortran DevelopmentCode RefactoringFortranGrid Data Handling