19–22 May 2025
Rimske Terme, Slovenia
Europe/Ljubljana timezone

Strategies for faster deep learning-based modeling of global barystatic processes

Not scheduled
15m
Rimske Terme, Slovenia

Rimske Terme, Slovenia

Presenting Author Mostafa Kiani Shahvandi, mostafak@univie.ac.at, Department of Meteorology and Geophysics, University of Vienna
Presentation Mode Talk preferred
Consent Publication As submitting author I agree for both myself and on behalf of all my co-authors that the abstract can be published in the "ASHPC25 Booklet of Abstracts" under a CC BY 4.0 licence (https://creativecommons.org/licenses/by/4.0/) if it is accepted for presentation at ASHPC25.
Consent Slides I agree that a pdf version of my presentation slides will be made available only to the other participants of ASHPC25 via a password protected webpage.

Primary author

Dr Mostafa Kiani Shahvandi (Department of Meteorology and Geophysics, University of Vienna)

Co-author

Prof. Aiko Voigt (Department of Meteorology and Geophysics, University of Vienna)

Presentation materials

There are no materials yet.