Worked on advancing atmospheric modeling in the E3SM-Project/E3SM repository, focusing on cloud microphysics and model accuracy. Developed a feature to separate liquid and ice cloud fractions in the P3 microphysics scheme, updating physics calculations and overlap logic to improve mixed-phase cloud representation. Standardized configuration by setting a default value for cld_frac_r, simplifying user setup and enhancing reproducibility. Addressed a numerical accuracy issue in the SHOC module by reordering condensation and evaporation computations. Utilized C++, Fortran, and numerical modeling techniques, demonstrating disciplined version control and cross-module coordination to deliver improvements in scientific computing and climate modeling fidelity.
June 2025 performance summary for E3SM: Delivered standardization and accuracy improvements in core atmospheric modeling. Key features include setting the default for cld_frac_r to 1 to simplify configuration and provide a consistent starting point. Major bug fix focused on SHOC physics: reordered condensation and evaporation tendencies to be computed before updating the SGS liquid water mixing ratio, improving numerical accuracy in simulations. These changes enhance reproducibility, reduce configuration friction, and improve stability in atmospheric runs. Overall impact includes better model consistency across configurations, clearer defaults for users, and a more accurate representation of phase changes in SHOC. Skills demonstrated include disciplined version control, targeted code refactors for numerical correctness, and cross-module coordination to improve model fidelity.
June 2025 performance summary for E3SM: Delivered standardization and accuracy improvements in core atmospheric modeling. Key features include setting the default for cld_frac_r to 1 to simplify configuration and provide a consistent starting point. Major bug fix focused on SHOC physics: reordered condensation and evaporation tendencies to be computed before updating the SGS liquid water mixing ratio, improving numerical accuracy in simulations. These changes enhance reproducibility, reduce configuration friction, and improve stability in atmospheric runs. Overall impact includes better model consistency across configurations, clearer defaults for users, and a more accurate representation of phase changes in SHOC. Skills demonstrated include disciplined version control, targeted code refactors for numerical correctness, and cross-module coordination to improve model fidelity.
January 2025 (Month: 2025-01) — Focused on advancing cloud microphysics fidelity in the E3SM model. Delivered a feature that separates liquid and ice cloud fractions in P3 microphysics, enabling more accurate representation of mixed‑phase clouds. Updated physics calculations to use distinct cld_frac_l (liquid) and cld_frac_i (ice) fields when available, and adjusted the overlap logic to support both subgrid fractions instead of a single max overlap. This enhances model realism for cloud processes and improves the reliability of climate projections. Implemented in the E3SM repository with the following notable commit: 1fc3071b04e63c5fb3c70447a7c163b13257654f (co-authored-by: mahf708 <naser.mahfouz@pnnl.gov>).
January 2025 (Month: 2025-01) — Focused on advancing cloud microphysics fidelity in the E3SM model. Delivered a feature that separates liquid and ice cloud fractions in P3 microphysics, enabling more accurate representation of mixed‑phase clouds. Updated physics calculations to use distinct cld_frac_l (liquid) and cld_frac_i (ice) fields when available, and adjusted the overlap logic to support both subgrid fractions instead of a single max overlap. This enhances model realism for cloud processes and improves the reliability of climate projections. Implemented in the E3SM repository with the following notable commit: 1fc3071b04e63c5fb3c70447a7c163b13257654f (co-authored-by: mahf708 <naser.mahfouz@pnnl.gov>).
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