May 2026 — eagles-project/mam4xx: Delivered two major capabilities that drive reliability and model accuracy in E3SM integration. 1) Build System and CI Alignment Enhancements: aligned tag references between CMake and GitHub Actions and used explicit source directory references (CMAKE_CURRENT_SOURCE_DIR) to ensure consistent builds when mam4xx is integrated with E3SM; this reduces build failures and simplifies cross-repo integration. 2) Gas washout model accuracy improvements: refactored gas_washout to improve cloud concentration calculations and proper rain handling, boosting output accuracy; includes fixes addressing Aurora test failures for eamxx/mam4xx. Overall impact: more reliable builds, faster integration cycles with E3SM, and more accurate model outputs. Technologies/skills demonstrated: CMake configuration, GitHub Actions workflows, cross-repo build alignment, code refactoring for numerical models, test stabilization.

April 2026 performance summary: Delivered substantial GPU and memory optimizations across Mam4xx and E3SM that improve performance, stability, and scalability. In Mam4xx, GPU-accelerated atmosphere model kernels with Kokkos optimization were implemented, including refactors for memory views and parallel execution, resulting in improved GPU performance for the atmospheric model. Also memory-optimized immersion nucleation and diagnostic structures reduced allocations and improved scalability. Codebase cleanup and formatting improvements enhanced maintainability, consistency, and build reliability. In E3SM, we fixed a NaN issue by initializing buffers to zero, cleaned up the MAMAci API for readability, added a 3D diagnostic scratch space to improve cloud fraction diagnostics, and moved diagnostic memory initialization to eamxx for better parallel performance.

March 2026 monthly summary for E3SM and mam4xx work. Delivered a key data-structure upgrade to Kokkos Views across two repositories to align with mam4xx changes and to boost parallel data handling for large-scale simulations. Focused on upgrading 2D arrays of Kokkos Views to 4D views, and on updating function signatures to maintain compatibility with the mam4xx API, enabling smoother future merges. Overall impact: improved maintainability, reduced integration risk with mam4xx, and groundwork for potential performance gains through better data layout and parallelism. Demonstrated strong cross-repo collaboration and adherence to modern Kokkos-based design patterns, positioning the project for continued performance improvements. Technologies/skills demonstrated: Kokkos multi-dimensional views, C++ refactoring, API compatibility, cross-repo coordination, performance-oriented data layout design, and modernizing legacy data structures.

February 2026: Significant performance improvements and groundwork for aerosol dynamics were delivered in the Wet Deposition model (mam4xx), alongside validated alignment and stability enhancements across both mam4xx and E3SM components. The work focused on parallel execution, precomputation, and API cleanups to boost throughput and maintainability, as well as critical bug fixes and a dependency upgrade to ensure stability and compatibility.

Month: 2026-01 | Repository: eagles-project/mam4xx. Key focus was the performance optimization of compute_q_tendencies. Major bugs fixed: none reported. Outcome: refactored to improve parallel scalability via Kokkos 1D views and pre-calculation, enabling reduced runtime overhead and larger problem sizes. Technologies/skills demonstrated include Kokkos 1D views, parallel programming patterns, and performance-focused refactoring. Next steps include addressing the remaining Kokkos::single in the recursion path as a further parallelization opportunity.

Monthly summary for 2025-09 focusing on feature delivery, code quality improvements, and cross-repo integration across E3SM and mam4xx.

July 2025 monthly summary for E3SM development across repositories E3SM-Project/E3SM and eagles-project/mam4xx. Focused on delivering maintainable diagnostic capabilities, aligning submodules with the latest mainline, and introducing flexible diagnostics to balance scientific output with runtime performance.

June 2025 monthly summary for eagles-project/mam4xx and E3SM: Delivered substantive business value by expanding diagnostics, stabilizing interfaces, and increasing configurability across atmospheric chemistry and microphysics workflows. Key results include implementing AQ and GS diagnostics for both mam4xx and E3SM, storing detailed aqueous sulfate/bisulfate concentrations, and streamlining chemical flux calculations by removing an unused function. Diagnostics can now be allocated on demand, and outputs include non-vertical integrated values; 3D diagnostic arrays were dimensioned to include vertical levels, improving fidelity and enabling more accurate model evaluation. The MAM Microphysics Diagnostics Interface was overhauled to consolidate field registration and reduce unnecessary allocations. Cloud activation factors became user-configurable, expanding scenario-tuning capabilities. External mam4xx dependencies were updated to pull fixes from newer commits. Physics unit alignment for dqdt_so4_aqueous_chemistry and dqdt_h2so4_uptake was corrected to kg/m2/s, ensuring consistency with surface-area flux calculations. Documentation and readability improvements across atmospheric chemistry modules were completed, including clang-format cleanups and clearer diagnostic commentary. These changes enhance model accuracy, performance, and maintainability, enabling better scientific insights and more reliable deployment.

2025-05 Monthly Summary: Focused on delivering enhanced sulfate chemistry capabilities within the MAM4XX workflow and expanding diagnostic visibility to support model validation and forecasting. Key work includes integrating adv_mass handling into flux calculations, extending diagnostics for SO4 and H2SO4 chemistry, and aligning submodules to support new outputs. These changes improve modeling fidelity, enable robust validation against observations, and provide clearer traceability of chemical processes.

April 2025 monthly summary for E3SM: Delivered a critical bug fix to Constituent Flux Deposition Calculation and implemented code clarity improvements after a rebase, enhancing result correctness and maintainability. This work reduces the risk of incorrect deposition flux computations in production simulations and improves future development velocity.

March 2025 performance summary for E3SM development: delivered cross-component stabilization, platform-specific fixes, and code hygiene improvements that bolster correctness, performance, and maintainability for Aurora/SYCL runs and threaded simulations.

February 2025 (2025-02) — E3SM project focused on stabilizing the test suite and enhancing reliability in CI validation. Implemented a targeted bug fix in the p3 tests to remove unused parameters and related variables associated with heterogeneous freezing nucleation, simplifying data structures and function signatures to reduce test configuration errors and flaky failures. This change, associated with the commit b253ce25beb9aac4310dc3d0c7e0fdd172f40a3c, improves test reliability and accelerates feedback for developers.

January 2025 Summary (eagles-project/mam4xx): Delivered deterministic and thread-safe execution for mam4xx computations. Key changes include restructuring parallel loops and barriers, moving team_barrier usage, leveraging Kokkos::single, and replacing parallel_for with sequential loops in modules gas_washout, mo_photo.hpp, and compute_o3_column_density.hpp. These fixes address non-deterministic results and race conditions, improving reproducibility and stability of simulations. Resulting work reduces downstream debugging and enhances CI reliability for continued model development. - Clean, testable changes focused on stability and reproducibility across the mam4xx pipeline. - Related commits targeted non-determinism fixes and barrier usage improvements.

December 2024: Delivered reliability and quality improvements for mam4xx. Implemented non-functional code style alignment with clang-format, refined dry deposition and precipitation handling to improve simulation reliability, stabilized unit tests by initializing aerosol prognostic data to valid values, and added bounds checks to prevent array overflows in photo validation modules. These changes reduce non-determinism, prevent crashes, and improve test reliability, contributing to overall model robustness and maintainability.