During April 2025, Brian Bye enhanced the robustness of the FAN model within the E3SM-Project/E3SM repository to better support dynamic crop conditions and transient land use. He focused on improving numerical stability by implementing skip-logic for cells with very small weights, preventing instability during simulation runs. Brian ensured that FAN-related variables were consistently allocated and initialized, regardless of the use_fan flag, which improved model reliability across different configurations. His work leveraged expertise in Fortran programming, biogeochemistry, and numerical simulation, resulting in a more resilient modeling framework for climate and agro-ecosystem nitrogen dynamics under changing land management scenarios.