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.


Conveners will be contacted by the AGU25 Program Committee with any requests for mergers or edits to proposals. Conveners will be notified of the acceptance of their proposal in mid-June.


Abstract submissions will also open in mid-June and the deadline for abstract submissions is 30 July, 2025.


Please visit the AGU25 website for more information or please contact AGU with any questions.

Abstract: Time-Resolved Moving‑Window Machine Learning Modeling for Human‑Caused Wildfire Ignition Prediction in California (AGU25)

Time-Resolved Moving‑Window Machine Learning Modeling for Human‑Caused Wildfire Ignition Prediction in California

Zhijiong Cao, University of California Los Angeles, Los Angeles, CA, United States, Yongkang Xue, Univ California Los Angeles, Los Angeles, United States, Fangshu Ye, Iowa State University, Ames, United States and Thomas W Gillespie, University of California, Los Angeles (UCLA), Department of Geography, Los Angeles, United States