
Worked on the TerrenceMcGuinness-NOAA/global-workflow repository, delivering five features over four months focused on workflow automation, configuration management, and system administration. Developed a data ingestion mechanism that stages initial conditions from HPSS or local storage, improving experiment reproducibility and reducing manual preparation. Enhanced maintainability by removing deprecated jobs and configuration keys, and refactored scripts using Bash and YAML to enable conditional file handling and flexible assimilation frequency. Deprecated legacy computing system support to align with current platforms, streamlining configuration and reducing maintenance risk. The work emphasized robust, configurable workflows and leveraged skills in shell scripting, data management, and DevOps.
August 2025 monthly summary focusing on feature configurability and maintainability of the global-workflow. Implemented a configurable assimilation frequency via the assim_freq variable, replacing the previous hard-coded 6-hour default. This change improves flexibility for environment-specific schedules, reduces maintenance costs, and lowers the risk of misconfigurations in production. The work addresses Issue 3849 and is tied to commit a18b063e37c35dee73319dde823985b2fe55b4a2 (Remove hard-coded references per Issue 3849 (#3962)). No major bugs fixed this month; the emphasis was on delivering a configurable, robust configuration mechanism and improving long-term maintainability.
August 2025 monthly summary focusing on feature configurability and maintainability of the global-workflow. Implemented a configurable assimilation frequency via the assim_freq variable, replacing the previous hard-coded 6-hour default. This change improves flexibility for environment-specific schedules, reduces maintenance costs, and lowers the risk of misconfigurations in production. The work addresses Issue 3849 and is tied to commit a18b063e37c35dee73319dde823985b2fe55b4a2 (Remove hard-coded references per Issue 3849 (#3962)). No major bugs fixed this month; the emphasis was on delivering a configurable, robust configuration mechanism and improving long-term maintainability.
April 2025 — Delivered strategic deprecation of Jet and S4 computing system support in the global-workflow, removing all references, configurations, and environment setups. This aligned the repository with NESDIS-supported platforms, reduced maintenance surface and risk of misconfigurations, and enables faster adoption of future, supported technologies.
April 2025 — Delivered strategic deprecation of Jet and S4 computing system support in the global-workflow, removing all references, configurations, and environment setups. This aligned the repository with NESDIS-supported platforms, reduced maintenance surface and risk of misconfigurations, and enables faster adoption of future, supported technologies.
March 2025 (2025-03) — Delivered key workflow hygiene and conditional file handling improvements in the TerrenceMcGuinness-NOAA/global-workflow repo. Highlights include removal of unused components to reduce maintenance burden and warnings, and a targeted refactor to copy aerosol restart files only when DO_AERO_FCST is enabled, reducing I/O and noise. These changes improve reliability, maintainability, and release readiness for future feature toggles.
March 2025 (2025-03) — Delivered key workflow hygiene and conditional file handling improvements in the TerrenceMcGuinness-NOAA/global-workflow repo. Highlights include removal of unused components to reduce maintenance burden and warnings, and a targeted refactor to copy aerosol restart files only when DO_AERO_FCST is enabled, reducing I/O and noise. These changes improve reliability, maintainability, and release readiness for future feature toggles.
January 2025: Delivered a data ingestion feature for the global-workflow repository that improves reliability and reproducibility of experiments by fetching initial conditions (ICs) from HPSS or local storage and staging them for use in runs. The work updates the stage_ic task to handle fetched ICs, reducing manual data prep and enabling faster, repeatable experiments. This initiative directly enhances data availability for downstream processing and aligns with project goals for robust workflow automation. The changes were implemented in TerrenceMcGuinness-NOAA/global-workflow via commit ee54eac82b6bf46ccbc6958697509fe2be441004 as part of (#3141).
January 2025: Delivered a data ingestion feature for the global-workflow repository that improves reliability and reproducibility of experiments by fetching initial conditions (ICs) from HPSS or local storage and staging them for use in runs. The work updates the stage_ic task to handle fetched ICs, reducing manual data prep and enabling faster, repeatable experiments. This initiative directly enhances data availability for downstream processing and aligns with project goals for robust workflow automation. The changes were implemented in TerrenceMcGuinness-NOAA/global-workflow via commit ee54eac82b6bf46ccbc6958697509fe2be441004 as part of (#3141).

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