Funder
U.S. Army Corps of Engineers
U.S. Department of Energy
Subject
Water Science and Technology
Reference51 articles.
1. Short‐term precipitation forecast based on the PERSIANN system and LSTM recurrent neural networks;Akbari Asanjan;J. Geophys. Res. Atmosph.,2018
2. Comparative analysis of recurrent neural network architectures for reservoir inflow forecasting;Apaydin;Water,2020
3. Association of State Dam Safety Officials (2020). Spencer Dam Failure Investigation Report.
4. Multi-source rainfall merging and reservoir inflow forecasting by ensemble technique and artificial intelligence;Chiang;J. Hydrol. Reg. Stud.,2022
5. Clark, M. P., M. F. Bierkens, L. Samaniego, R. A. Woods, R. Uijlenhoet, K. E. Bennett, V. Pauwels, X. Cai, A. W. Wood, C. D. J. H. Peters-Lidard and E. S. Sciences (2017). “The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism.” 21(7): 3427-3440. https://doi.org/10.5194/hess-21-3427-2017.