Jessica Meixner developed and maintained the TerrenceMcGuinness-NOAA/global-workflow repository, delivering high-resolution forecasting, robust CI/CD pipelines, and scalable model coupling for NOAA’s UFS weather modeling system. She engineered workflow automation and configuration management using Python, Shell scripting, and YAML, enabling reproducible experiments and efficient resource allocation across HPC environments. Her work included enhancing wave-ocean coupling, optimizing restart logic, and standardizing data outputs, which improved model fidelity and operational stability. By integrating rigorous testing, documentation, and DevOps practices, Jessica ensured reliable deployments and streamlined validation for new model configurations, demonstrating depth in backend development and high-performance computing within complex scientific workflows.
October 2025 performance summary for TerrenceMcGuinness-NOAA/global-workflow. Key features delivered include: 1) UFS Weather Model Update and Resource Scaling — updated the UFS model with new resource configurations, extended walltime for steps, removal of CHA output from wave configuration, and scaling adjustments to MEDPETS and MEDTHREADS, anchored to subproject commit 9e5ad8fdc870d9d1965a2772c0fa0b8a928a05ba. 2) HPSS Archiving Optimization and Bug Fixes — reduced HPSS storage usage by optimizing archiving configurations and fixed archiving bugs such as skipping log files with tar in their names, with refinements across ocean, ice, and wave restarts (commit 769e3ba485bc69521e18e9b41c3593192ed41870).
October 2025 performance summary for TerrenceMcGuinness-NOAA/global-workflow. Key features delivered include: 1) UFS Weather Model Update and Resource Scaling — updated the UFS model with new resource configurations, extended walltime for steps, removal of CHA output from wave configuration, and scaling adjustments to MEDPETS and MEDTHREADS, anchored to subproject commit 9e5ad8fdc870d9d1965a2772c0fa0b8a928a05ba. 2) HPSS Archiving Optimization and Bug Fixes — reduced HPSS storage usage by optimizing archiving configurations and fixed archiving bugs such as skipping log files with tar in their names, with refinements across ocean, ice, and wave restarts (commit 769e3ba485bc69521e18e9b41c3593192ed41870).
In September 2025, delivered focused improvements to the TerrenceMcGuinness-NOAA/global-workflow repository that enhance reliability, efficiency, and alignment with the upcoming GFSv17 configuration. Key outcomes include modernization of the GFS experiment workflow with standardized CI across experiments and consistent model configurations, plus a targeted bug fix to gate boundary wave jobs for GFS runs only, preventing unnecessary GDAS processing. These changes reduce compute waste, increase reproducibility, and lay groundwork for future GFSv17 deployment.
In September 2025, delivered focused improvements to the TerrenceMcGuinness-NOAA/global-workflow repository that enhance reliability, efficiency, and alignment with the upcoming GFSv17 configuration. Key outcomes include modernization of the GFS experiment workflow with standardized CI across experiments and consistent model configurations, plus a targeted bug fix to gate boundary wave jobs for GFS runs only, preventing unnecessary GDAS processing. These changes reduce compute waste, increase reproducibility, and lay groundwork for future GFSv17 deployment.
Month: 2025-08 — Delivered three targeted features in TerrenceMcGuinness-NOAA/global-workflow to strengthen configuration integrity, resource efficiency, and data governance. Outcomes include preventing configuration drift after the MOM6 update, improving resource utilization during retrospective testing via optimized memory/thread handling and restart-file timing, and ensuring reliable archiving through standardized wave point naming. No major bugs were reported this period. Business value: more stable workflows, faster troubleshooting, and higher confidence in data products. Technologies/skills demonstrated: cross-repo configuration management, performance tuning (memory, threading, restart logic), testing strategies (retrotests), and data naming governance.
Month: 2025-08 — Delivered three targeted features in TerrenceMcGuinness-NOAA/global-workflow to strengthen configuration integrity, resource efficiency, and data governance. Outcomes include preventing configuration drift after the MOM6 update, improving resource utilization during retrospective testing via optimized memory/thread handling and restart-file timing, and ensuring reliable archiving through standardized wave point naming. No major bugs were reported this period. Business value: more stable workflows, faster troubleshooting, and higher confidence in data products. Technologies/skills demonstrated: cross-repo configuration management, performance tuning (memory, threading, restart logic), testing strategies (retrotests), and data naming governance.
July 2025 performance summary for TerrenceMcGuinness-NOAA/global-workflow. Delivered targeted improvements to the wave model for unstructured grid compatibility and performance, and stabilized ongoing work with a temporary UFS configuration patch and submodule alignment. The changes emphasize reliability, efficiency, and maintainable code, aligning with NOAA workflow standards and GFSv17 integration.
July 2025 performance summary for TerrenceMcGuinness-NOAA/global-workflow. Delivered targeted improvements to the wave model for unstructured grid compatibility and performance, and stabilized ongoing work with a temporary UFS configuration patch and submodule alignment. The changes emphasize reliability, efficiency, and maintainable code, aligning with NOAA workflow standards and GFSv17 integration.
June 2025 monthly performance summary for TerrenceMcGuinness-NOAA/global-workflow. Focused on delivering robust automation and reliable workflow improvements that directly translate into faster experiment turnover, better reproducibility, and improved CI stability across the global-workflow pipeline.
June 2025 monthly performance summary for TerrenceMcGuinness-NOAA/global-workflow. Focused on delivering robust automation and reliable workflow improvements that directly translate into faster experiment turnover, better reproducibility, and improved CI stability across the global-workflow pipeline.
Delivered significant enhancements to the UFS global workflow, improved testing and validation readiness, and resolved critical restart timing bugs, resulting in more accurate, reliable, and scalable forecasts across grid configurations. Key work included model-level vector remapping and interpolation, structured support for GFSv17 C1152 cycled testing, wave-ocean coupling enhancements, and a restart time synchronization fix that aligns restarts with correct segment times. These efforts improve CI workflow clarity and set the foundation for broader ensemble and high-resolution capabilities.
Delivered significant enhancements to the UFS global workflow, improved testing and validation readiness, and resolved critical restart timing bugs, resulting in more accurate, reliable, and scalable forecasts across grid configurations. Key work included model-level vector remapping and interpolation, structured support for GFSv17 C1152 cycled testing, wave-ocean coupling enhancements, and a restart time synchronization fix that aligns restarts with correct segment times. These efforts improve CI workflow clarity and set the foundation for broader ensemble and high-resolution capabilities.
April 2025 performance summary for TerrenceMcGuinness-NOAA/global-workflow: Delivered core feature updates and reliability improvements that directly support model fidelity and operational stability. Implemented the UFS Weather Model Update to 20250328 across multiple resolutions, including wave point updates, configuration tweaks, wave post-processing resource allocations, refined output scripts (point/grid), and updated tar packaging. Fixed a critical restart issue by ensuring the forecast detail script properly detects NetCDF .nc wave restart files, eliminating restart failures. Enhanced GFSv17 cycling testing infrastructure by adding a low-resolution test case and tightening workflow dependencies (IC stage and gfs metp dependencies), improving test reliability for future GFS versions. These changes improve end-to-end workflow robustness, reduce manual intervention, and accelerate validation of new model configurations.
April 2025 performance summary for TerrenceMcGuinness-NOAA/global-workflow: Delivered core feature updates and reliability improvements that directly support model fidelity and operational stability. Implemented the UFS Weather Model Update to 20250328 across multiple resolutions, including wave point updates, configuration tweaks, wave post-processing resource allocations, refined output scripts (point/grid), and updated tar packaging. Fixed a critical restart issue by ensuring the forecast detail script properly detects NetCDF .nc wave restart files, eliminating restart failures. Enhanced GFSv17 cycling testing infrastructure by adding a low-resolution test case and tightening workflow dependencies (IC stage and gfs metp dependencies), improving test reliability for future GFS versions. These changes improve end-to-end workflow robustness, reduce manual intervention, and accelerate validation of new model configurations.
Month: 2025-03 — Focused on advancing high-resolution forecasting capabilities in the TerrenceMcGuinness-NOAA/global-workflow. Key feature delivered: enabled C1152 forecast resolution on the Gaea C6 system by updating environment variables and configuration files, with resource allocation and threading adjustments to support higher resolution on the specified hardware. Major bugs fixed: none reported this month. Overall impact: broadened HPC forecasting capability, enabling higher-resolution runs for NOAA workflows and improving potential forecast accuracy and throughput on supported hardware. Accomplishments: established production-ready configuration and traceable changes tied to a concrete commit, enabling repeatable deployments. Technologies/skills demonstrated: environment/configuration management, HPC resource tuning, threading optimization, Linux-based HPC workflows, and version-control practices.
Month: 2025-03 — Focused on advancing high-resolution forecasting capabilities in the TerrenceMcGuinness-NOAA/global-workflow. Key feature delivered: enabled C1152 forecast resolution on the Gaea C6 system by updating environment variables and configuration files, with resource allocation and threading adjustments to support higher resolution on the specified hardware. Major bugs fixed: none reported this month. Overall impact: broadened HPC forecasting capability, enabling higher-resolution runs for NOAA workflows and improving potential forecast accuracy and throughput on supported hardware. Accomplishments: established production-ready configuration and traceable changes tied to a concrete commit, enabling repeatable deployments. Technologies/skills demonstrated: environment/configuration management, HPC resource tuning, threading optimization, Linux-based HPC workflows, and version-control practices.
February 2025 monthly summary for TerrenceMcGuinness-NOAA/global-workflow: Focused on advancing high-resolution wave testing capabilities and stabilizing the test infrastructure. Delivered significant enhancements to high-resolution wave testing configurations, corrected wave-related issues, and refined file handling and output directories. Synchronized the ufs-weather-model hash with recent changes to ensure reproducible, accurate wave simulations. Result: more reliable high-resolution validation, reduced test flakiness, and smoother integration with NOAA workflows.
February 2025 monthly summary for TerrenceMcGuinness-NOAA/global-workflow: Focused on advancing high-resolution wave testing capabilities and stabilizing the test infrastructure. Delivered significant enhancements to high-resolution wave testing configurations, corrected wave-related issues, and refined file handling and output directories. Synchronized the ufs-weather-model hash with recent changes to ensure reproducible, accurate wave simulations. Result: more reliable high-resolution validation, reduced test flakiness, and smoother integration with NOAA workflows.
January 2025 (Month: 2025-01) - Global-workflow project: Delivered a major upgrade to wave modeling capabilities with a new high-resolution global grid and robust restart/configuration enhancements. The work improves model fidelity, reliability, and operational readiness across coupled components (CEMPS, MOM6, CICE, WW3) and sets the stage for scalable performance with ESMF threading. Automated the translation of input files into WW3 namelists, easing deployment and ensuring reproducibility across runs.
January 2025 (Month: 2025-01) - Global-workflow project: Delivered a major upgrade to wave modeling capabilities with a new high-resolution global grid and robust restart/configuration enhancements. The work improves model fidelity, reliability, and operational readiness across coupled components (CEMPS, MOM6, CICE, WW3) and sets the stage for scalable performance with ESMF threading. Automated the translation of input files into WW3 namelists, easing deployment and ensuring reproducibility across runs.
December 2024 performance summary for TerrenceMcGuinness-NOAA/global-workflow. Focused on stabilizing parallel I/O (PIO) workflows across WW3 and CICE and refining UPP parameter linking to prepare for future PIO feature adoption. The project also updated the UFS weather model baseline to 2024-12-06 to ensure compatibility and stability across the workflow.
December 2024 performance summary for TerrenceMcGuinness-NOAA/global-workflow. Focused on stabilizing parallel I/O (PIO) workflows across WW3 and CICE and refining UPP parameter linking to prepare for future PIO feature adoption. The project also updated the UFS weather model baseline to 2024-12-06 to ensure compatibility and stability across the workflow.
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