Linking Human and Earth System Models for Global Change Analysis
This workshop will bring together researchers working on a range of strategies to better understand the interactions and feedbacks between human and earth systems through improved linkages and coupled modeling of human and earth systems. Workshop themes include:
(1) Identification of critical feedbacks between human and earth system processes across scales;
(2) Relative importance of human-earth system feedbacks in the uncertainty of future outcomes;
(3) Implications of human-earth system feedbacks on long-term trend modeling in the next generation CMIP and scenario design.
Participants will collaborate virtually through facilitated dialogues, individual surveys, a poster session, a live public lecture, and opportunities for informal networking. Workshop participants will also initiate a synthesis paper to highlight new insights, key challenges, and promising research directions in linking human and Earth system models for global change analysis.
The public lecture event will be virtually held on July 20, 2021, from 3:00 – 4:30 PM (EDT): The virtual poster session will run from 3:00 – 3:30 PM (EDT), followed by a public lecture presented by Joeri Rogelj (Imperial College London) titled “Halting Climate Change: Why Zero Emissions Is Only the Beginning” from 3:30 – 4:00 PM (EDT), finalizing with Q&A with Joeri and casual networking from 4:00 – 4:30 PM (EDT).
Model and scenario analysis using models of the human and/or Earth System are important tools for global environmental change research. These approaches have informed past assessments produced by the IPCC and contribute to the current AR6 assessment cycle. However, as research questions and new assessments increasingly address the intersection of human and Earth systems, there seems to be a need for improved coupling between human and physical systems that would allow for feedbacks and interactions to occur and emergent properties to evolve. Understanding the coupling of these systems is a newly emerging field of research that requires a broad range of exploratory modeling approaches to address fundamental questions: What key feedbacks play a role in shaping the co-evolution of these systems, what are the best ways to model interactions between these systems, and what are the best ways to represent uncertainty in these interacting systems?