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Sajjad Azimi

PROFILE

Sajjad Azimi

Azimi developed advanced atmospheric and cloud microphysics features for the CliMA/ClimaAtmos.jl and CliMA/CloudMicrophysics.jl repositories, focusing on improving simulation fidelity and stability. Over eight months, Azimi integrated two-moment microphysics, enhanced sedimentation and advection schemes, and implemented robust boundary and parameterization logic using Julia and Fortran. The work included refining numerical methods, introducing implicit mass flux handling, and correcting vertical diffusion processes to reduce bias and improve mass conservation. By addressing both feature development and bug fixes, Azimi delivered deeper physical realism and longer, more reliable climate simulations, demonstrating strong expertise in scientific computing and numerical modeling.

Overall Statistics

Feature vs Bugs

65%Features

Repository Contributions

35Total
Bugs
8
Commits
35
Features
15
Lines of code
6,368
Activity Months8

Work History

January 2026

1 Commits

Jan 1, 2026

January 2026 — CliMA/ClimaAtmos.jl: Implemented a physics correction to vertical diffusion and hyperdiffusion in updraft calculations. The fix ensures that updraft total specific humidity (q_tot) and air density (ρa) correctly account for vertical diffusion, yielding more faithful vertical transport and density coupling in simulations. This improves the fidelity of atmospheric simulations, reduces numerical bias in vertical transport calculations, and strengthens model reliability for downstream analyses.

December 2025

7 Commits • 2 Features

Dec 1, 2025

December 2025 monthly performance summary focusing on key accomplishments, major features delivered, and technical capabilities demonstrated. Delivered stability and accuracy improvements across CliMA atmospheric and cloud microphysics components, enabling more reliable, longer-running simulations and improved precipitation modeling.

November 2025

4 Commits • 2 Features

Nov 1, 2025

November 2025 (CliMA/ClimaAtmos.jl) delivered two major feature sets to enhance tracer transport physics and EDMF diffusion, focusing on stability, mass conservation, and physical fidelity. Key changes include implicit subgrid-scale mass flux handling for tracers with sedimentation detrainment effects, and EDMF diffusion improvements that remove unnecessary divisions, align grid mean and updraft parameters, and enable buoyant entrainment in the first cell. The work improves tracer transport accuracy, diffusion realism, and overall model consistency, delivering tangible business value for climate simulations and policy-relevant projections.

October 2025

4 Commits • 3 Features

Oct 1, 2025

October 2025 performance highlights for CliMA development: core numerical enhancements in tracer advection and instability-prone areas were implemented, with dependency alignment across packages to improve stability and maintainability.

September 2025

3 Commits • 1 Features

Sep 1, 2025

September 2025 (CliMA/ClimaAtmos.jl) delivered substantial EDMFx physics improvements, fortified numerical stability, and extended runtime capacity. The work emphasizes robust, longer-running simulations for climate analyses and scenario exploration, with a clear link to business value in research reliability and forecasting fidelity.

August 2025

7 Commits • 2 Features

Aug 1, 2025

August 2025 performance summary for CliMA development. Focused on delivering physics improvements, stability enhancements, and targeted bug fixes to enable longer, more reliable simulations with higher physical fidelity across the EDMF framework and two-moment microphysics schemes.

July 2025

2 Commits • 2 Features

Jul 1, 2025

July 2025 performance summary focusing on delivering advanced microphysics capabilities across CliMA repositories, including enhanced supersaturation handling with MonodisperseMix distribution and integration of 2-Moment microphysics into EDMFX.

June 2025

7 Commits • 3 Features

Jun 1, 2025

June 2025 performance snapshot focusing on key features delivered, major bugs fixed, and cross-repo impact. The work across CliMA repositories advanced 2-moment microphysics capabilities, reinforced reproducibility, and expanded parameterization coverage, delivering tangible business value through more accurate and stable climate simulations.

Activity

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Quality Metrics

Correctness87.8%
Maintainability85.4%
Architecture86.0%
Performance77.0%
AI Usage23.4%

Skills & Technologies

Programming Languages

JuliaTOMLYAML

Technical Skills

Atmospheric ModelingAtmospheric PhysicsAtmospheric ScienceBoundary ConditionsBug FixCI/CDClimate ModelingClimate ScienceCloud MicrophysicsCode RefactoringConfiguration ManagementData ManagementDependency ManagementDocumentationFortran

Repositories Contributed To

4 repos

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

CliMA/ClimaAtmos.jl

Jun 2025 Jan 2026
8 Months active

Languages Used

JuliaYAML

Technical Skills

Atmospheric PhysicsCI/CDClimate ModelingClimate ScienceFortranNumerical Modeling

CliMA/CloudMicrophysics.jl

Jun 2025 Dec 2025
4 Months active

Languages Used

Julia

Technical Skills

Atmospheric PhysicsClimate ModelingNumerical MethodsSoftware EngineeringAtmospheric ScienceCloud Microphysics

CliMA/ClimaParams.jl

Jun 2025 Oct 2025
2 Months active

Languages Used

TOML

Technical Skills

Climate ModelingData ManagementParameterizationConfiguration Management

CliMA/ClimaCoupler.jl

Oct 2025 Oct 2025
1 Month active

Languages Used

TOML

Technical Skills

Dependency Management

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