During this period, contributed to CliMAAtmos.jl by developing a new rainwater path (rwp) diagnostic variable, enhancing the model’s ability to track and analyze rainwater content. The work involved standardizing unit notation for inverse square meters from m-2 to m^-2 across multiple diagnostic variables, improving data consistency and facilitating more accurate analysis. Leveraging expertise in Julia, atmospheric science, and numerical methods, the developer focused on code refactoring to maintain code health while advancing rainwater analytics. The targeted feature work prioritized measurable business value, with robust diagnostics and improved data quality, though no bug fixes were recorded during this month.