March 2026 monthly summary for mcgoodman/widow-assessment-update focusing on delivered features, stability improvements, and business impact. Key features delivered include enhancements to March 2026 model outputs with sigma value analyses for SSC requests, refinement of the model output table to incorporate catch data and stock-assessment probabilities, and the development of new functions and visualizations for probability tables and models, along with improved figure generation and probability metrics. In addition, the Widow Rockfish Assessment received projections and infographic enhancements, with added projection code and updated infographic components to improve data processing and visualization clarity.

February 2026 monthly summary for mcgoodman/widow-assessment-update: Delivered substantial enhancements to the Widow Rockfish assessment, integrated OFL-based decision support, and improved reporting and model parameterization, resulting in clearer uncertainty communication, automated PDF reporting, and stronger decision support for fisheries management. Key activities included implementing new data visuals and data processing improvements, reintegrating OFL into decision tables and plots, expanding reporting capabilities (PDFs and executive summaries), and updating model parameters to improve accuracy and performance.

January 2026 monthly summary for mcgoodman/widow-assessment-update focused on delivering clear, decision-ready artifacts for widow rockfish assessments and related modeling. The work strengthened decision support, improved visual storytelling for stakeholders, and polished presentation-quality outputs, while tightening code quality and reproducibility.

December 2025 monthly summary for mcgoodman/widow-assessment-update: Delivered a robust set of data analysis and reporting updates aligned with the January 2026 base model, strengthening decision support and stakeholder communication while stabilizing the documentation pipeline.

November 2025 monthly summary for mcgoodman/widow-assessment-update focused on delivering high-impact features for fisheries management, improving data processing accuracy, and streamlining supplemental review workflows. The work supports better forecasting, clearer reporting, and faster response to review requests, enabling more informed decision-making and efficient operations.

September 2025 performance snapshot for mcgoodman/widow-assessment-update. Delivered core model refinements and expanded analysis capabilities, enhanced visualization and reporting for model assessments, and tightened repository hygiene. These efforts produced more accurate projections, clearer stakeholder communications, and reproducible workflows that support faster iteration and collaboration across the team.

Month: 2025-08. Focused on delivering configurable model workflows and reporting accuracy in the widow-assessment-update repository. Key accomplishments include a enhanced supplemental model requests workflow, new widow assessment model assets, and a critical QMD caption correction that improves report integrity. The work reinforced business value through flexible scenario analysis, improved forecasting control, and reliable versioned scripts.

Concise monthly summary for 2025-07 focusing on key accomplishments for mcgoodman/widow-assessment-update. This month focused on delivering a data visualization feature that enhances understanding of biomass dynamics by age groups, supported by code-level work and a clear commit history. The effort contributes to data-driven decision making and reproducible analytics within the project.

February 2025 monthly summary for mcgoodman/widow-assessment-update: Delivered WCGBT Survey indices configuration and data specifications, enabling enhanced assessment and analysis of West Coast Groundfish Bottom Trawl Survey data. Introduced new configuration files, species-specific specifications, data pulling parameters, model formulas, and defined spatial/temporal ranges to support robust stock assessment. No major bugs fixed this month; no regressions reported. Overall impact: improved data processing readiness and decision-support capabilities for fisheries management. Technologies/skills demonstrated: configuration-driven data pipelines, data modeling for survey indices, spatial-temporal parameterization, and Git-based version control.

January 2025 Monthly Summary for NOAA-FIMS/case-studies focusing on Petrale Case Study compatibility fix and related refactoring to run within the current FIMS framework. Emphasizes business value, reproducibility, and maintainability.