EGU26-6212, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-6212
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
NeuralRiverOps: An Operational Framework for Implementing MLOps and Agentic AI in LSTM-based Flood Forecasting for Large-scale River Basins
YoungDon Choi, HyunSeok Yang, SungHoon Kim, and Jewan Ryu
YoungDon Choi et al.
  • K-water Research Institute, Daejeon, Republic of Korea (choiyd1115@kwater.or.kr)

How to cite: Choi, Y., Yang, H., Kim, S., and Ryu, J.: NeuralRiverOps: An Operational Framework for Implementing MLOps and Agentic AI in LSTM-based Flood Forecasting for Large-scale River Basins, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6212, https://doi.org/10.5194/egusphere-egu26-6212, 2026.

This abstract has been withdrawn on 11 Aug 2026.