Improving LSTM hydrological modeling with spatiotemporal deep learning and multi-task learning: A case study of three mountainous areas on the Tibetan Plateau B Li, R Li, T Sun, A Gong, F Tian, MYA Khan, G Ni Journal of Hydrology 620, 129401, 2023 | 23 | 2023 |
融合气象要素时空特征的深度学习水文模型. 李步, 田富强, 李钰坤, 倪广恒 Advances in Water Science/Shuikexue Jinzhan 33 (6), 2022 | 11 | 2022 |
Enhancing process-based hydrological models with embedded neural networks: A hybrid approach B Li, T Sun, F Tian, G Ni Journal of Hydrology 625, 130107, 2023 | 8 | 2023 |
A multi-factor integrated method of calculation unit delineation for hydrological modeling in large mountainous basins B Li, X Zhou, G Ni, X Cao, F Tian, T Sun Journal of Hydrology 597, 126180, 2021 | 6 | 2021 |
Modelling analysis of the potential impact of large reservoir on heatwave events J Qin, Y Xing, J Liu, P Nakhaei, W Hamamy, B Li, L Yang, G Ni Ecological Indicators 154, 110841, 2023 | 1 | 2023 |
How frequent and which variables of automatic weather station data should be assimilated into WRF-3DVar model? A case study of a squall line event in Beijing Z Qiao, A Gong, B Li, G Ni Atmospheric Research, 107460, 2024 | | 2024 |