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Tammas Loughran

PROFILE

Tammas Loughran

Tammas Loughran enhanced the CABLE-LSM/CABLE land surface model by refactoring its Fortran codebase to improve maintainability and integration with the ESM1.6 module. He focused on the newlitter_thin subroutine, refining the logic for carbon, nitrogen, and phosphorus transfers during forest thinning and land-use changes to ensure accurate biomass allocation to litter pools. Tammas also addressed a bug in biomass transfer, introducing a thinning condition for plant pools to improve carbon accounting and flux estimates. His work in biogeochemistry, climate modeling, and Fortran programming deepened the model’s reliability and positioned the repository for future development and integration efforts.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

2Total
Bugs
1
Commits
2
Features
1
Lines of code
2,505
Activity Months2

Work History

December 2024

1 Commits • 1 Features

Dec 1, 2024

December 2024: Delivered a targeted refactor and module reorganization for the CABLE model, aligning Fortran sources with the ESM1.6 module to improve maintainability and integration readiness. Refined the newlitter_thin subroutine to enhance carbon, nitrogen, and phosphorus transfers during forest thinning and land-use changes, yielding more accurate biomass allocation to litter pools. No standalone bug fixes were logged this month; the focus was on architecture improvement and future-proofing the codebase. This work reduces technical debt and positions the codebase for smoother future feature development and model integration.

November 2024

1 Commits

Nov 1, 2024

Month: 2024-11 — This month focused on correcting biomass transfer during thinning in the CABLE-LSM/CABLE model. A bug fix ensures biomass from plant pools is properly transferred to litter pools and reflected in flux/harvest variables during thinning events. The fix involved rewriting newlitter_thin and adding a thinning condition for plant pools. This work enhances the accuracy of biomass/wood carbon accounting, improves thinning-related flux estimates, and strengthens model reliability for end-user simulations and decision support.

Activity

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Quality Metrics

Correctness90.0%
Maintainability80.0%
Architecture85.0%
Performance70.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Fortran

Technical Skills

BiogeochemistryClimate ModelingCode RefactoringEcosystem ModelingFortran ProgrammingLand Surface ModelingModel Development

Repositories Contributed To

1 repo

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

CABLE-LSM/CABLE

Nov 2024 Dec 2024
2 Months active

Languages Used

Fortran

Technical Skills

BiogeochemistryClimate ModelingEcosystem ModelingFortran ProgrammingCode RefactoringLand Surface Modeling

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