Next Generation Earth System Model

Build open, composable Earth System Simulation infrastructure based on high-resolution data. De-silo climate data across ESMs, IAMs, observational data to increase collaborative potential. Traditional ESMs are built using legacy programming languages, which introduce a barrier for new entrants to the field and impede the usage of hybrid machine-learning techniques and modern computing architectures. Collect high-resolution earth system data: Today’s global models and reanalyses are at tens of kilometers resolution. Build an open dataset of ultra-high-resolution simulations or merged observations (e.g. <1 km, resolving clouds, storms, and local topography). It could train AI to capture fine-scale processes (convection, urban heat islands, etc.) that current models miss.