In April 2025, Bre Lage focused on improving temporal data processing in the openghg/openghg repository, specifically within the NOAA module. Addressing a critical bug, Bre revised the monthly sampling period estimation logic to derive monthly values from daily rather than weekly data, thereby reducing misalignment and enhancing the accuracy of downstream analytics. This change, implemented in Python and leveraging data analysis and scientific computing skills, improved the reliability of NOAA-derived time aggregations. The work demonstrated careful attention to traceability and maintainability, as the fix was fully tracked and integrated, reflecting a thoughtful approach to quality in scientific data workflows.