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: Applying machine learning and statistical modeling approaches to remote sensing observations for inferring surface-level NO<sub>2</sub> (AGU25)

Applying machine learning and statistical modeling approaches to remote sensing observations for inferring surface-level NO2

Muhammad Omar Nawaz, Cardiff University, School of Earth and Environmental Sciences, Cardiff, United Kingdom, Veronica Southerland, Environmental Defense Fund DC, Washington, United States, Daniel E Horton, Northwestern University, Earth, Environmental, and Planetary Sciences, Evanston, IL, United States, Victoria Lang, Northwestern University, Earth, Environmental, and Planetary Sciences, Evanston, United States, Susan Anenberg, George Washington University, Washington, United States, Daniel L Goldberg, George Washington University, Washington, DC, United States and Gaige Hunter Kerr, George Washington University, Earth and Atmospheric Sciences, Washington, DC, United States
<< Previous Abstract | Next Abstract >>