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: A Process-Guided Machine Learning Approach Improves Stomatal Conductance Prediction and Reveals Its Dynamic Association With Photosynthesis (AGU25)

A Process-Guided Machine Learning Approach Improves Stomatal Conductance Prediction and Reveals Its Dynamic Association With Photosynthesis

Hongmei Li1, Gang Zhao2, Wenpeng Xie3, Roman Olson4 and Kei Yoshimura1, (1)The University of Tokyo, Kashiwa, Japan, (2)Tokyo Institute of Technology, Tokyo, Japan, (3)The University of Tokyo, Institute of Industrial Science, Tokyo, Japan, (4)The University of Tokyo, Chiba, Japan
<< Previous Abstract | Next Abstract >>