IAMs to ESMs - Integrated Assessment Models to Earth System Models

Explore the transition from Integrated Assessment Models (IAMs) to Earth System Models (ESMs) in this conference lecture delivered at the International Centre for Theoretical Sciences. Learn how these modeling approaches differ in their representation of Earth system processes and their applications in climate change research. Understand the role of IAMs in linking socio-economic factors with climate impacts and how ESMs provide more comprehensive representations of physical, chemical, and biological processes within the Earth system. Discover the advantages and limitations of each modeling framework, including computational requirements, spatial and temporal scales, and the types of research questions they are best suited to address. Examine case studies demonstrating the practical applications of both modeling approaches in climate policy assessment and scientific research. Gain insights into the ongoing developments in model coupling and integration that bridge the gap between these two important classes of Earth system models. This presentation is part of the Advanced Machine Learning for Earth System Modeling program, which focuses on improving ESM accuracy and efficiency through machine learning techniques.