Our most powerful constraints on past climate are developed through combining observational data with models and theory. This intersection allows us to test hypotheses, refine model physics, develop estimates of past climates, and ultimately advance our understanding of the climate system. This session is aimed at highlighting a range of approaches towards addressing these objectives, including: linking environmental variables to paleoclimate proxies; designing and implementing proxy system models; implementing tools for integrating numerical models with data, such as data assimilation and machine learning techniques; and using hierarchies of models of increasing complexity, from idealized models that isolate specific mechanisms to fully coupled climate simulations.

We welcome submissions that apply these tools to key paleoclimate questions, including but not limited to: characterizing regional and global climate variability; reconstructing past ecosystems and climates; understanding specific dynamical processes across space and time; and leveraging paleoclimate insights to constrain future climate projections.

• A - Atmospheric Sciences
• C - Cryosphere
• OS - Ocean Sciences