Surface and sub-surface flow estimation at high temporal resolution using deep neural networks
Published in Journal of Hydrology, 2020
Recommended citation: Abbas, A., Baek, S., Kim, M., Ligaray, M., Ribolzi, O., Silvera, N., ... & Cho, K. H. (2020). Surface and sub-surface flow estimation at high temporal resolution using deep neural networks. Journal of Hydrology, 590, 125370. https://doi.org/10.1016/j.jhydrol.2020.125370
This paper is about comparison of LSTM based models and process-driven models (HSPF) for surface and sub-surface flow estimation in Lao PDR.