Mekdes Mehari developed a YAML-based configuration for JRA55-DO atmospheric forcings in the GEOS-ESM/GEOSgcm_GridComp repository, focusing on climate data management and configuration management. The work included creating templates, defining valid data ranges, specifying sampling methods, and setting export parameters, all aimed at improving reproducibility and reducing configuration drift in production runs. Mekdes also disabled PLS forcings to mitigate risks associated with that data stream, establishing a safer operational baseline. The solution leveraged YAML for data configuration, resulting in a more robust and maintainable setup that supports reproducible experiments and safer deployments within the climate modeling workflow.