| 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 | 40 | 2023 |
| 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 | 18 | 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 | 13 | 2022 |
| Development of a spatiotemporal deep-learning-based hydrological model B LI, F TIAN, Y LI, G NI Advances in Water Science 33 (6), 904-913, 2022 | 13 | 2022 |
| 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 | 9 | 2021 |
| Hybrid hydrological modeling for large alpine basins: a semi-distributed approach B Li, T Sun, F Tian, M Tudaji, L Qin, G Ni Hydrology and Earth System Sciences 28 (20), 4521-4538, 2024 | 2 | 2024 |
| 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 | 2 | 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 306, 107460, 2024 | 1 | 2024 |
| Hybrid Hydrological Modeling for Large Alpine Basins: A Distributed Approach B Li, T Sun, F Tian, M Tudaji, L Qin, G Ni Hydrology and Earth System Sciences Discussions 2024, 1-26, 2024 | 1 | 2024 |
| Developing hybrid distributed models for hydrological simulation and climate change assessment in large alpine basins B Li, T Sun, F Tian, G Ni EGU24, 2024 | | 2024 |
| Impact of Spatial Density of Automatic Weather Station Data on Assimilation Effectiveness in WRF-3DVar Model Z Qiao, B Li, A Gong, G Ni EGU24, 2024 | | 2024 |
| Deep learning for X-band radar quantitative precipitation estimation using polarimetric measurements R Zhou, A Gong, B Li, Y Qi, G Ni EGU24, 2024 | | 2024 |
| Impact of the Assimilation Configurations on Precipitation Forecasts Based on WRF Model: A Case Study in Beijing Z Qiao, B Li, G Ni AGU Fall Meeting Abstracts 2023 (1061), GC21J-1061, 2023 | | 2023 |
