EGU25-639, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-639
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
A novel error correction modelling framework for reducing prediction uncertainty in reservoir levels for operational control
1,2,2,2,- 1Water Resources Development and Management, Indian Institute of Technology Roorkee, Roorkee, 247667, India (abhinandaroy123@gmail.com; K.kasiviswanathan@wr.iitr.ac.in)
- 2The School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, Edinburgh, EH14 4AS, United Kingdom (abhinandaroy123@gmail.com; s.Patidar@hw.ac.uk; a.J.Adeloye@hw.ac.uk)
- 3Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology Roorkee, Roorkee 247667, India (K.kasiviswanathan@wr.iitr.ac.in)
How to cite: Roy, A., Patidar, S., J. Adeloye, A., and Kasiviswanathan, K. S.: A novel error correction modelling framework for reducing prediction uncertainty in reservoir levels for operational control, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-639, https://doi.org/10.5194/egusphere-egu25-639, 2025.