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.


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Abstract: From Static to Dynamic: How Regular Retraining Improves Machine Learning Air Pollution Forecasts, illustrated with the NASA GEOS-CF use case. (AGU25)

From Static to Dynamic: How Regular Retraining Improves Machine Learning Air Pollution Forecasts, illustrated with the NASA GEOS-CF use case.

Noussair Lazrak1, Umair Ayub1, Kevin Cromar2, Carl Malings3, Christoph Keller4 and K. Emma Knowland5, (1)New York University, Marron Institute of Urban Management, New York, United States, (2)New York University, NYU Grossman School of Medicine, New York, United States, (3)NASA Global Modeling and Assimilation Office, Goddard Space Flight Center, Greenbelt, United States, (4)Swiss Re, Washington, United States, (5)Universities Space Research Association Columbia, Columbia, United States
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