The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Integrating Atmospheric Physics and Spatiotemporal Machine Learning to Project Wildfire Smoke Exposure and Health Risks in Canada under Future Climate (AGU25)

Integrating Atmospheric Physics and Spatiotemporal Machine Learning to Project Wildfire Smoke Exposure and Health Risks in Canada under Future Climate

Yanrui Li, University Of Toronto Schools, Toronto, ON, Canada and Jianxiong Sheng, Massachusetts Institute of Technology, Center for Global Change Science, Cambridge, United States