
During a two-month period, Laren Spear developed and maintained core infrastructure for large-scale weather modeling within the spack/spack-packages repository. Laren introduced the ERF Large-Scale Weather Modeling Package, focusing on deployment reproducibility and maintainability by integrating AMReX and replacing submodules to streamline dependency management. Using CMake, CUDA, and Python, Laren established foundational package functionality with GCC support and laid the groundwork for future features such as radiation modeling and additional dependencies. In January 2026, Laren expanded version coverage by adding support for Erf 26.01, improving reproducibility and installation workflows for downstream users who rely on the Spack package manager.
January 2026 (2026-01) monthly summary for spack/spack-packages. Key feature delivered: Erf package version 26.01 support added to Spack, enabling installation and builds for users requiring this upstream release. No major bugs fixed in this repository this month. Overall impact: expands available software versions in Spack, improving reproducibility and reducing time-to-build for downstream workflows that rely on Erf 26.01. Demonstrated technologies/skills: Spack packaging conventions, version management, and concise release documentation via commit-driven updates.
January 2026 (2026-01) monthly summary for spack/spack-packages. Key feature delivered: Erf package version 26.01 support added to Spack, enabling installation and builds for users requiring this upstream release. No major bugs fixed in this repository this month. Overall impact: expands available software versions in Spack, improving reproducibility and reducing time-to-build for downstream workflows that rely on Erf 26.01. Demonstrated technologies/skills: Spack packaging conventions, version management, and concise release documentation via commit-driven updates.
November 2025 monthly summary for spack-packages focused on delivering core infrastructure to enable large-scale weather modeling workloads via the ERF package. The work emphasizes deployment reproducibility, maintainability, and future capability expansion (e.g., radiation features, NoahMP, EKAT).
November 2025 monthly summary for spack-packages focused on delivering core infrastructure to enable large-scale weather modeling workloads via the ERF package. The work emphasizes deployment reproducibility, maintainability, and future capability expansion (e.g., radiation features, NoahMP, EKAT).

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