Monthly summary for 2025-10 focusing on key features and bug fixes across ACCESS-NRI/ACCESS-ESM1.6 and CABLE-LSM/CABLE. Key accomplishments include updating dependencies to the latest UM release, refactoring CABLE to align with JULES, and removing a duplicate niter parameter to prevent conflicts. These efforts improved build reliability, consistency with JULES, and reduced maintenance risk. Technologies demonstrated include Spack/YAML-based dependency management, Fortran module restructuring, and cross-repo codebase coordination.

September 2025 monthly summary: Delivered an environment update to ensure the correct UM7/ACCESS-ESM1.6 version is used for the October spinup. Updated spack.yaml to pin the UM7 code version, aligning the model with the upcoming spinup. This reduces spinup risk and improves reproducibility and release readiness. No major bugs fixed this month. Focused work was in repository ACCESS-NRI/ACCESS-ESM1.6.

Concise monthly wrap-up for 2025-08: Focused on correcting a parameter inconsistency by restoring density_liq usage in update_soilsnow and importing it from cable_phys_constants_mod to align with the AM3 version. Change applied to repository CABLE-LSM/CABLE, enhancing consistency between soil and snow update calculations and reducing risk of parameter drift in downstream analyses.

July 2025 monthly performance summary for CABLE-LSM/CABLE: Focused on strengthening CI reliability, eliminating outdated configurations, and tightening repository hygiene to accelerate delivery and reduce maintenance. Delivered standardized build/test pipelines, cleaned up documentation, and removed obsolete code paths to improve maintainability and onboarding experience for new devs.

June 2025 monthly summary for CABLE-LSM/CABLE focused on a critical bug fix that improves reliability and accuracy of soil moisture simulations by correcting zse_vec initialization. No new features were released this month; the effort prioritized code health and model integrity to reduce downstream errors and strengthen forecast trust.

March 2025 monthly summary for CABLE-LSM/CABLE. Focused on expanding climate forcing data support and code quality. Delivered Princeton data input and integration support ('prin'), updated MPI master handling, new driver type and file preparation, and updated documentation. Also removed a redundant Rainf unit validation and cleaned related code paths, improving maintainability and reducing configuration risk. Notable commits advanced driver integration, MPI master updates, and Princeton-specific fixes (e.g., renameFiles_princeton) with documentation updates to cable.nml.

January 2025 Monthly Summary – CABLE-LSM/CABLE development Key features delivered, major fixes, and impact focused on enhancing data ingestion robustness and enabling future 4D data workflows. Summary of work highlights: - Implemented CABLE model input flexibility to support 3D and 4D meteorological data formats for all variables, enabling more flexible data pipelines and smoother integration of diverse datasets. - Refactored the data reading logic to dynamically detect the number of dimensions and handle 3D/4D inputs, improving robustness, maintainability, and readiness for future data dimensionality (PR tied to commit included below). - Strengthened input processing overall by reducing edge-case fragility and documenting the data ingestion pathway for future contributors. Impact and business value: - Enables users to ingest richer meteorological datasets with less manual preprocessing, accelerating model experiments and deployment readiness. - Reduces risk of dimension-related errors in production data feeds, improving model reliability and uptime. - Positions the project for upcoming 4D data support and extended variable coverage with minimal code changes. Technologies/skills demonstrated: - Python data ingestion and dimensionality handling - Refactoring for robustness and maintainability - Git-based version control and traceability (commit b2e54acf6aedf1f74dde433ce701800ac8e79076; (#525) )

November 2024 — CABLE-LSM/CABLE: key features delivered and groundwork laid for scalable, distributed simulations. Key features delivered: - Terminology Clarification: Updated code terminology from 'saturation' to 'total available water' for clarity; no logic changes. (commit 30092b69d361d3ae1b1220908c39b58617de249e) - Soil Parameter Handling and Ground Water Model Integration: Consolidated soil parameter handling under the groundwater model; initialize soil parameters with vec suffix defaults, avoid unnecessary vector resets when gw_model is inactive, and enable MPI communication for soil-related vectors to support accurate distributed computations. (commits 3af3e948ea67a9213bd7c4a77f3e5ceb36cb7907; d5232d75d876e1f0ed49d766584f78b6b416d29b; c2b67c768b7bfe6f3bb3a77a9e8d8a94bc8ee96c) Major bugs fixed: - No explicit user-facing bugs reported this month; however, the changes include cleanup and correctness improvements in soil handling and MPI readiness to reduce edge-case risks in distributed runs. Overall impact and accomplishments: - Improved code clarity and maintainability through terminology standardization. - Strengthened foundation for scalable, distributed simulations via MPI-enabled soil vector handling and gw_model integration. - Enhanced traceability with clear commit history, easing onboarding and future reviews. Technologies/skills demonstrated: - MPI-based distributed computing, vector parameter handling, ground water model integration, code refactoring, and terminology standardization.