EGU24-22255, updated on 11 Mar 2024
https://doi.org/10.5194/egusphere-egu24-22255
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under the Creative Commons Attribution 4.0 License.
Enhancing Runoff Generation Mechanisms for Flood Simulation through Integrating Machine Learning and Process-Based Modeling
- 1University of Saskatchewan, School of Environmental and Sustainability, Global Institute for Water Security, Saskatoon, Canada
- 2Australian National University, Institute for Water Futures, Mathematical Sciences Institute, Canberra, Australian National Territory, Australia
How to cite: Razavi, S. and Li, K.: Enhancing Runoff Generation Mechanisms for Flood Simulation through Integrating Machine Learning and Process-Based Modeling, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-22255, https://doi.org/10.5194/egusphere-egu24-22255, 2024.