| Convective storm VIL and lightning nowcasting using satellite and weather radar measurements based on multi-task learning models Y Li, Y Liu, R Sun, F Guo, X Xu, H Xu Advances in Atmospheric Sciences 40 (5), 887-899, 2023 | 14 | 2023 |
| Characteristics of deep convective systems and initiation during warm seasons over China and its vicinity Y Li, Y Liu, Y Chen, B Chen, X Zhang, W Wang, Z Shu, Z Huo Remote Sensing 13 (21), 4289, 2021 | 8 | 2021 |
| Numerical simulation of 23 June 2016 Yancheng City EF4 tornadic supercell and analysis of lightning activity FX Guo, Y Li, ZC Huang, MF Wang, FH Zeng, CH Lian, YJ Mu Science China Earth Sciences 60, 2204-2213, 2017 | 6 | 2017 |
| Super-resolution probabilistic rain prediction from satellite data using 3d u-nets and earthformers Y Li, H Dong, Z Fang, J Weyn, P Luferenko arXiv preprint arXiv:2212.02998, 2022 | 5 | 2022 |
| Probabilistic Convective Initiation Nowcasting Using Himawari-8 AHI with Explainable Deep Learning Models Y Li, Y Liu, Y Shi, B Chen, F Zeng, Z Huo, H Fan Monthly Weather Review 152 (1), 363-385, 2024 | 3 | 2024 |
| A deep learning method for predicting lower troposphere temperature using surface reanalysis H Fan, Y Liu, Y Li, Y Liu, J Duan, L Li, Z Huo Atmospheric Research 283, 106542, 2023 | 3 | 2023 |
| A preliminary evaluation of FY-4A visible radiance data assimilation by the WRF (ARW v4. 1.1)/DART (Manhattan release v9. 8.0)-RTTOV (v12. 3) system for a tropical storm case Y Zhou, Y Liu, Z Huo, Y Li Geoscientific Model Development 15 (19), 7397-7420, 2022 | 2 | 2022 |
