EGU26-19382, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-19382
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Coupling Rainfal-Runoff and Shallow-Water Hybrid Models: A Reliability Test of Piecewise Versus End-to-End Learning
1,2,1,2- 1Indian Institute of Technology Gandhinagar, Indian Institute of Technology Gandhinagar, Computer Science and Engineering, Gandhinagar, India
- 2Indian Institute of Technology Gandhinagar, Indian Institute of Technology Gandhinagar, Civil Engineering, Gandhinagar, India
How to cite: Dubey, S., Mishra, S., and Bhatia, U.: Coupling Rainfal-Runoff and Shallow-Water Hybrid Models: A Reliability Test of Piecewise Versus End-to-End Learning, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19382, https://doi.org/10.5194/egusphere-egu26-19382, 2026.