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: DeepRisk: An End-to-End AI-based Framework for Real-time Decadal Projections of Extreme Weather and Climate Risk and their Uncertainty Across Assets at Multiple Scales and Fidelity (AGU25)

DeepRisk: An End-to-End AI-based Framework for Real-time Decadal Projections of Extreme Weather and Climate Risk and their Uncertainty Across Assets at Multiple Scales and Fidelity

Subhashis Hazarika1, Moein Darman2, Sena Mursel3, Ashesh Kumar Chattopadhyay4, Rohit Vuppala1, Anthony Wong1 and Sushreyo Misra3, (1)Fujitsu Research of America, Santa Clara, United States, (2)University of California Santa Cruz, Santa Cruz, United States, (3)Lehigh University, Bethlehem, United States, (4)University of California Santa Cruz, Santa Cruz, CA, United States