As models of Earth System Science continue to increase in complexity and prominence it is paramount that their development, curation and publication aligns with the FAIR (Findable, Accessible, Interoperable and Reusable) principles. This session aims to stimulate the development of a community practice where models and their applications provide sufficient information for reproducibility or at least traceability of their outputs. Models incorporating 4D dynamics or kinematics, uncertainties and bias, deterministic or probabilistic, Artificial Intelligence and Machine Learning are integrated with visualisations, documentation, evaluations, benchmarking, citations and provenance, and relying on multiple software platforms for version control, containerisation, notebooks, compilation and execution would all, ideally be findable, accessible, interoperable and reusable.

This session invites contributions that discuss and showcase current and future strategies, collaborations and infrastructure that support the development, curation and publication of FAIR Models creating FAIR and reproducible/traceable outputs. We are open to submissions from all domains of Earth and Environmental Science including climate, surface processes, hydrology, geology, geophysics and coupled simulations.