EGU25-11240, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-11240
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Exploring the Transferability of Knowledge In Deep Learning-Based Streamflow Models Across Global Catchments
- University of Dundee, School of Social Sciences, Geography, United Kingdom of Great Britain – England, Scotland, Wales (ougahi@gmail.com)
How to cite: Hassan, J., Rowan, J., and Mukherjee, N.: Exploring the Transferability of Knowledge In Deep Learning-Based Streamflow Models Across Global Catchments, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-11240, https://doi.org/10.5194/egusphere-egu25-11240, 2025.