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: Uncertainty Quantification of Satellite-based Essential Climate Variables Derived from Deep Learning: Examples of Snow Cover and Terrestrial Water Storage (AGU25)

Uncertainty Quantification of Satellite-based Essential Climate Variables Derived from Deep Learning: Examples of Snow Cover and Terrestrial Water Storage

Junyang Gou1, Arnt-Børre Alberg2, Mostafa Kiani Shahvandi1, Mohammad J. Tourian3, Ulrich Meyer4, Eva Boergens5, Isabella Velicogna6,7, Anders U. Waldeland2, Adrian Jaeggi4, Konrad Schindler1, Benedikt Soja1 and Fredrik Dahl2, (1)Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich, Switzerland, (2)Norwegian Computing Center, Oslo, Norway, (3)Institute of Geodesy, University of Stuttgart, Stuttgart, Germany, (4)Astronomical Institute, University of Bern, Bern, Switzerland, (5)GFZ Helmholtz Centre for Geosciences, Potsdam, Germany, (6)Department of Earth System Science, University of California Irvine, Irvine, United States, (7)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
<< Previous Abstract | Next Abstract >>