E3SM-Project/E3SM
Jan 2026 – Feb 2026
2 Months active
Languages Used
C++Markdown
Technical Skills
C++ developmentnumerical methodsscientific computingunit testingC++cloud physics
Kyle Pressel
PROFILE
Kyle Pressel
Worked on the E3SM-Project/E3SM repository to enhance the reliability and maintainability of cloud microphysics testing, focusing on property-based validation for cloud water autoconversion and BackToCellAverage logic. Developed comprehensive C++ unit tests to verify monotonicity, conservation, and physical limits, referencing established formulations such as Khairoutdinov & Kogan (2000). Modernized the testing framework by introducing structured data containers for test results and reorganizing test suites for targeted execution. Improved documentation in Markdown to clarify testing strategies, tolerance rationales, and edge-case handling. These efforts reduced regression risk, improved test coverage, and established a scalable foundation for future scientific computing validation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
3
Lines of code
2,823
Activity Months2
Your Network
132 peopleSame Organization
@pnnl.gov24
Shared Repositories
108
Abhishek BagusettyMember
Erin ThomasMember
Erin ThomasMember
Oscar Diaz-IbarraMember
Andrew RobertsMember
Andrew RobertsMember
Alexander HagerMember
Andrew M. BradleyMember
Andrew M. BradleyMember
Work History
February 2026
7 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for E3SM project (repo: E3SM). Focused on strengthening test rigor for BackToCellAverage and modernizing P3 autoconversion tests. Implemented extensive test coverage and documentation improvements, improved test organization for targeted runs, and introduced a dedicated data structure to hold test results. These changes reduce regression risk, improve maintainability, and enable scalable validation across cloud fraction logic and mapping.
7 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for E3SM project (repo: E3SM). Focused on strengthening test rigor for BackToCellAverage and modernizing P3 autoconversion tests. Implemented extensive test coverage and documentation improvements, improved test organization for targeted runs, and introduced a dedicated data structure to hold test results. These changes reduce regression risk, improve maintainability, and enable scalable validation across cloud fraction logic and mapping.
February 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 performance summary for E3SM development focused on expanding testing coverage and reliability in cloud microphysics. Delivered comprehensive property-based tests for cloud water autoconversion in the P3 scheme, including monotonicity, mass/number conservation, rain embryo size (25 μm), physical limits, and subgrid variance validation. Accompanied by detailed documentation outlining the testing strategy and tolerance rationale based on Khairoutdinov & Kogan (2000). The work strengthens model robustness, reduces risk of edge-case failures, and lays groundwork for future properties-labeled validation across microphysical processes.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 performance summary for E3SM development focused on expanding testing coverage and reliability in cloud microphysics. Delivered comprehensive property-based tests for cloud water autoconversion in the P3 scheme, including monotonicity, mass/number conservation, rain embryo size (25 μm), physical limits, and subgrid variance validation. Accompanied by detailed documentation outlining the testing strategy and tolerance rationale based on Khairoutdinov & Kogan (2000). The work strengthens model robustness, reduces risk of edge-case failures, and lays groundwork for future properties-labeled validation across microphysical processes.
Activity
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Quality Metrics
Correctness95.2%
Maintainability87.6%
Architecture92.4%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Markdown
Technical Skills
C++C++ developmentcloud physicsdocumentationnumerical methodsscientific computingsoftware engineeringtest automationunit testing
Repositories Contributed To
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