CliMA/ClimaAtmos.jl
Jan 2026 – Feb 2026
2 Months active
Languages Used
Julia
Technical Skills
climate modelingdata analysismodelingnumerical methodsscientific computingnumerical modeling
Sajjad Azimi
PROFILE
Sajjad Azimi
Worked on enhancing the numerical robustness and physical realism of the CliMA/ClimaAtmos.jl climate modeling codebase over a two-month period. Focused on resolving edge-case failures and improving simulation stability, the work addressed issues such as precipitation source selection, Jacobian consistency, and boundary entrainment logic using Julia and scientific computing techniques. Additionally, improved the evaporation limiter to prevent negative liquid or ice values under subsaturated conditions, reducing the risk of unrealistic simulation states. Emphasized traceability by linking changes to specific issues and commits, demonstrating a methodical approach to debugging and maintaining reliability in complex numerical modeling workflows.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
4Total
Bugs
2
Commits
4
Features
0
Lines of code
21
Activity Months2
Your Network
34 peopleShared Repositories
34
Alexandre A. RenchonMember
Anna JarugaMember
Aman KashyapMember
Akshay SridharMember
Akshay SridharMember
Akshay SridharMember
akshaysridharMember
Akshay SridharMember
Sajjad AzimiMember
Work History
February 2026
1 Commits
Feb 1, 2026February 2026: Delivered a crucial bug fix to the evaporation limiter in CliMAAtmos.jl, improving physical realism and stability. No new user-facing features were released this month; primary focus was hardening core numerical logic for subsaturation scenarios. The fix prevents negative liquid/ice values by clamping to zero, addressing unrealistic states in subsaturated conditions and reducing downstream simulation risks. This aligns with ongoing emphasis on model reliability and scientific credibility for long-running climate simulations.
1 Commits
Feb 1, 2026February 2026: Delivered a crucial bug fix to the evaporation limiter in CliMAAtmos.jl, improving physical realism and stability. No new user-facing features were released this month; primary focus was hardening core numerical logic for subsaturation scenarios. The fix prevents negative liquid/ice values by clamping to zero, addressing unrealistic states in subsaturated conditions and reducing downstream simulation risks. This aligns with ongoing emphasis on model reliability and scientific credibility for long-running climate simulations.
February 2026
January 2026
3 Commits
Jan 1, 2026January 2026: Delivered targeted numerical correctness and edge-case fixes in CliMA/ClimaAtmos.jl to improve precipitation source selection, Jacobian consistency, and PEDMF boundary handling. These fixes enhance stability and accuracy of simulations, reducing edge-case failures and increasing reliability for downstream analyses.
January 2026
3 Commits
Jan 1, 2026January 2026: Delivered targeted numerical correctness and edge-case fixes in CliMA/ClimaAtmos.jl to improve precipitation source selection, Jacobian consistency, and PEDMF boundary handling. These fixes enhance stability and accuracy of simulations, reducing edge-case failures and increasing reliability for downstream analyses.
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage25.0%
Skills & Technologies
Programming Languages
Julia
Technical Skills
climate modelingdata analysismodelingnumerical methodsnumerical modelingscientific computing
Repositories Contributed To
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