Earth and Planetary Surface Processes

 View Only
Back to discussions
Expand all | Collapse all

AGU26 Session NH040: AI/ML Advances in S2S Prediction of Natural Hazards

  • 1.  AGU26 Session NH040: AI/ML Advances in S2S Prediction of Natural Hazards

    Posted yesterday
      |   view attached
    Dear Colleagues,

    We warmly invite you to submit an abstract to our AGU26 session:

    NH040: Machine Learning (ML)/Artificial Intelligence (AI) Advances in Subseasonal-to-Seasonal (S2S) Prediction of Natural Hazards

    We welcome contributions advancing AI/ML for S2S prediction of natural hazards, including foundation models, AI agents, post-processing, hybrid AI-dynamical approaches, and applications to high-impact hazards such as floods, droughts, heatwaves, atmospheric rivers, tropical cyclones, and compound extremes.

    Session details and abstract submission: https://agu.confex.com/agu/agu26/prelim.cgi/Session/280759 

    Abstract submission deadline: August 5, 2026

    Please see the attached flyer for additional details. We would greatly appreciate your help in sharing this announcement with colleagues and students who may be interested.

    We look forward to your contributions and hope to see you at AGU26 in San Francisco!

    Best regards,
    Zhiqi Yang (Primary Convener)
    Michael J. DeFlorio
    Luca Delle Monache
    Weiming Hu 

    --
    Dr. Zhiqi Yang
    Subseasonal-and-Seasonal Scientist
    Center for Western Weather and Water Extremes (CW3E)
    Scripps Institution of Oceanography, University of California, San Diego
    Nierenberg Hall, Room 325