Mass Conserving LSTM with Dual States for Improved Streamflow Prediction through Quickflow and Slow Storage Separation

Saurabh Toraskar; M Niranjan Naik; Abhilash Singh; Kumar Gaurav

doi:https://doi.org/10.5194/egusphere-egu26-1031

[Back] [Session VPS10]

EGU26-1031, updated on 13 Mar 2026

https://doi.org/10.5194/egusphere-egu26-1031

EGU General Assembly 2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Mass Conserving LSTM with Dual States for Improved Streamflow Prediction through Quickflow and Slow Storage Separation

Saurabh Toraskar¹, M Niranjan Naik^1,2, Abhilash Singh^1,3, and Kumar Gaurav¹

Saurabh Toraskar et al.

¹Indian Institute of Science Education and Research Bhopal, Earth and Environmental Sciences, Bhopal, India (saurabhtoraskar31@gmail.com)
²Department of Civil Engineering, IIT Gandhinagar, Gujarat, India
³School of Mathematics and Computation, Faculty of Engineering and Physical Sciences, University of Leeds, Leeds, United Kingdom

How to cite: Toraskar, S., Naik, M. N., Singh, A., and Gaurav, K.: Mass Conserving LSTM with Dual States for Improved Streamflow Prediction through Quickflow and Slow Storage Separation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1031, https://doi.org/10.5194/egusphere-egu26-1031, 2026.

This abstract has been withdrawn on 11 Aug 2026.