Artificial intelligence with uncertainty quantification can plug gaps in climate science and inform multi-sector resilience
via ZoomSpeaker: Prof. Auroop Ganguly, Civil & Environmental Engineering, Northeastern University Abstract: Global climate and earth system models (ESMs), which numerically solve partial differential equations with high performance simulations, continue to have knowledge gaps and exhibit intrinsic variability for stakeholder relevant variables and resolutions. Data-driven sciences integrated with process understanding, especially the physics or biogeochemistry that […]