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: Development of HiDRED (Himawari Data Rainfall Estimation using Deep learning), a real‑time satellite rainfall product for Southeast Asia, and an investigation of its applicability to rainfall–runoff analysis (AGU25)

Development of HiDRED (Himawari Data Rainfall Estimation using Deep learning), a real‑time satellite rainfall product for Southeast Asia, and an investigation of its applicability to rainfall–runoff analysis

Kansei Fujimoto, Chuo University, Civil, Human and Environmental Science and Engineering Course, Graduate School of Science and Engineering, Bunkyo-ku, Tokyo, Japan and Taichi Tebakari, Chuo University, Depertment of Civil and Environmental Engineering, Bunkyo-ku,Tokyo, Japan
<< Previous Abstract | Next Abstract >>