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Kate.Zhang

PROFILE

Kate.zhang

Kate Zhang contributed to the GEOS-ESM/GOCART repository by developing and refining aerosol and sulfur parameter modeling features over a two-month period. She enhanced the aerosol model’s numerical stability and accuracy by addressing out-of-bounds errors, improving rainout logic, and introducing a sulfate wet removal scheme that accounts for precipitation type. Using Fortran and Python, Kate also restructured sulfur parameter configurations, adding detailed resource files for aerosol optics and emissions, and updated configuration files to support AMIP experiments. Her work improved model robustness, configurability, and reproducibility, demonstrating depth in scientific computing, environmental modeling, and CI/CD integration within a complex codebase.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

4Total
Bugs
1
Commits
4
Features
2
Lines of code
47,132
Activity Months2

Work History

January 2026

2 Commits • 1 Features

Jan 1, 2026

January 2026 monthly summary for GEOS-ESM/GOCART focused on sulfur parameter configuration improvements and AMIP readiness. Delivered enhancements to sulfur parameter configuration, added a new sulfur parameter resource file with detailed configurations for aerosol optics, volcanic emissions, and aviation emissions, and introduced a wet removal scheme option to improve sulfur-related atmospheric simulations. Updated SU rc to support AMIP.20 and AMIP, and cleaned up outdated sulfur parameter settings to simplify maintenance. The changes enhance model fidelity, configurability, and reproducibility for climate simulations and AMIP experiments.

December 2025

2 Commits • 1 Features

Dec 1, 2025

December 2025 monthly summary for GEOS-ESM/GOCART: Delivered stability improvements and physics refinements to the aerosol model, and introduced a sulfate Wet Removal Scheme using the ufs option. These changes enhance numerical stability, accuracy of removal processes, and overall reliability of aerosol simulations for policy and climate analyses.

Activity

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Quality Metrics

Correctness85.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage25.0%

Skills & Technologies

Programming Languages

CMakeFortranPythonYAML

Technical Skills

CI/CD integrationFortranFortran programmingPython scriptingdata analysisenvironmental modelingnumerical modelingscientific computing

Repositories Contributed To

1 repo

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

GEOS-ESM/GOCART

Dec 2025 Jan 2026
2 Months active

Languages Used

CMakeFortranPythonYAML

Technical Skills

CI/CD integrationFortranFortran programmingPython scriptingnumerical modelingscientific computing

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