Call for Abstracts EGU26 - HS4.10: Recent advances in (hybrid) hydrological forecasting using physically-based and machine learning models
Sandra Hauswirth
Dear Colleagues,
Are you working on topics related to (hybrid) hydrological forecasting? Or would you like to learn about it at the next European Geosciences Union (EGU) General Assembly 2026, which will take place from 3 to 8 May in Vienna, Austria?
Then we are pleased to invite you to submit your abstract to our session
on ‘HS4.10 Recent advances in (hybrid) hydrological forecasting using
physically-based and machine learning models’. Abstract deadline is the 15th
January 2026 at 13:00 CET!
For more information and link to submission:
https://meetingorganizer.copernicus.org/EGU26/session/55836
Looking forward to your abstracts and meeting you, virtually or on-site in Vienna!
On behalf of the conveners,
Sandra Hauswirth
Postdoctoral Researcher
Department of Physical Geography, Faculty of Geosciences
Utrecht University
Note: apply for financial support by submitting your abstract by 1 December 2025, 13:00 CET (https://www.egu26.eu/authors/financial_support_and_waivers.html )