September 2025: Focused on refactoring atmospheric physics to improve accuracy and maintainability in CliMA/ClimaAtmos.jl. Implemented Exner function-based pressure gradient and virtual potential temperature workflow, and introduced a new reference-state thermodynamics module to centralize calculations and enhance reusability.

Monthly summary for 2025-08: 1) Key features delivered: - CliMA/ClimaCore.jl: Level-based grid handling correctness and I/O enhancements, including tests for nonlocal fields and broadcasts, and an HDF5 restart test for a 3D hybrid cubed-sphere with topography to strengthen reliability of production simulations. - CliMA/CloudMicrophysics.jl: Dependency compatibility update to ClimaParams v0.12 and Thermodynamics v0.14, with code adjustments for API changes and updated tests with new reference values. - CliMA/RRTMGP.jl: Compatibility cleanup aligning parameter naming by renaming the gas_constant to universal_gas_constant and updating the ClimaParams version to prevent runtime errors. 2) Major bugs fixed: - Fix for #2358: Corrected quadrature_style to reference full_grid and added robustness tests for nonlocal fields; improved I/O reliability for level-based grids. - Alignment of parameter naming and dependencies across RRTMGP/ClimaParams to prevent runtime errors during integration. 3) Overall impact and accomplishments: - Increased reliability of production simulations through robust grid I/O handling, comprehensive testing, and cross-repo dependency alignment. - Reduced maintenance burden and risk when upgrading libraries, with improved test coverage for nonlocal fields and 3D topography scenarios. - Streamlined onboarding for new contributors via consistent parameter naming and dependency management. 4) Technologies/skills demonstrated: - Julia language, HDF5-based I/O, and cubed-sphere grid configurations. - Automated testing strategies, nonlocal field and restart scenario coverage. - Dependency management and API compatibility across ClimaParams, Thermodynamics, and RRTMGP. - Version pinning and cross-repo change coordination for stable production deployments.

April 2025 achievements focused on delivering business-value improvements through two main streams: (1) CliMA/ClimaAtmos.jl — added intermittent update capability for non-orographic gravity wave tendencies with configurable time-step parameters, and updated release notes; also completed code formatting improvements. (2) CliMA/ClimaArtifacts — improved artifact creation reliability by skipping unnecessary copies when the target file exists during earth_orography artifact creation, updated README with clearer artifact-generation instructions, and added Manifest.toml to resolve a ClimaArtifactsHelper.jl dependency issue.

March 2025 overview for CliMA/ClimaAtmos.jl: Feature delivery focused on Non-Orographic Gravity Wave (NOGW) diagnostics and module improvements, with emphasis on observability, configurability, and maintainability. Key capabilities added include enabling default YAML-based diagnostics, a new gravitywave_diagnostics.jl to compute eastward and northward acceleration tendencies due to NOGW drag, and a refactored NOGW module to improve consistency and readability. A new dt_nogw configuration parameter was exposed to control update intervals via callbacks, and documentation updates clarify diagnostics usage and the eps parameter. These changes are supported by three commits that implement diagnostics output, refactor the NOGW code, and update the docs. Commits: 95991d3791c364edf5f300651ab74998a6da1c46; 338914387db675169e882f5377e28b85a9ba3500; 05e2202f4d037989c69d613c1cd9bed662102828. No major bugs fixed this month; the focus was on feature delivery, code quality, and user guidance. Overall impact includes improved observability, reproducibility, and maintainability for gravity wave diagnostics in production workflows.