| Fengwu: Pushing the skillful global medium-range weather forecast beyond 10 days lead K Chen, T Han, J Gong, L Bai, F Ling, JJ Luo, X Chen, L Ma, T Zhang, ... arXiv preprint arXiv:2304.02948, 2023 | 172 | 2023 |
| Multi-task machine learning improves multi-seasonal prediction of the Indian Ocean Dipole F Ling, JJ Luo, Y Li, T Tang, L Bai, W Ouyang, T Yamagata Nature Communications 13 (1), 7681, 2022 | 51 | 2022 |
| Predictability of sea surface temperature anomalies at the eastern pole of the Indian Ocean Dipole—using a convolutional neural network model M Feng, F Boschetti, F Ling, X Zhang, JR Hartog, M Akhtar, L Shi, ... Frontiers in Climate 4, 925068, 2022 | 19 | 2022 |
| Fengwu-ghr: Learning the kilometer-scale medium-range global weather forecasting T Han, S Guo, F Ling, K Chen, J Gong, J Luo, J Gu, K Dai, W Ouyang, ... arXiv preprint arXiv:2402.00059, 2024 | 18 | 2024 |
| Fengwu: Pushing the skillful global medium-range weather forecast beyond 10 days lead. arXiv 2023 K Chen, T Han, J Gong, L Bai, F Ling, JJ Luo, X Chen, L Ma, T Zhang, ... arXiv preprint arXiv:2304.02948, 2023 | 17 | 2023 |
| Wave forecast in the Atlantic Ocean using a double-stage ConvLSTM network L Ouyang, F Ling, Y Li, L Bai, JJ Luo Atmospheric and Oceanic Science Letters 16 (4), 100347, 2023 | 15 | 2023 |
| Two deep learning-based bias-correction pathways improve summer precipitation prediction over China F Ling, Y Li, JJ Luo, X Zhong, Z Wang Environmental Research Letters 17 (12), 124025, 2022 | 13 | 2022 |
| Towards an end-to-end artificial intelligence driven global weather forecasting system K Chen, L Bai, F Ling, P Ye, T Chen, JJ Luo, H Chen, Y Xiao, K Chen, ... arXiv preprint arXiv:2312.12462, 2023 | 12 | 2023 |
| Diffusion model-based probabilistic downscaling for 180-year East Asian climate reconstruction F Ling, Z Lu, JJ Luo, L Bai, SK Behera, D Jin, B Pan, H Jiang, T Yamagata npj Climate and Atmospheric Science 7 (1), 131, 2024 | 8 | 2024 |
| Improving seasonal prediction of summer precipitation in the middle–lower reaches of the Yangtze River using a TU-Net deep learning approach S Yang, F Ling, Y Li, JJ Luo Artificial Intelligence for the Earth Systems 2 (2), 220078, 2023 | 7 | 2023 |
| Is artificial intelligence providing the second revolution for weather forecasting F Ling, L Ouyang, BR Larbi, JJ Luo, T Han, X Zhong, L Bai arXiv preprint arXiv:2401.16669, 2024 | 6 | 2024 |
| Generalizing weather forecast to fine-grained temporal scales via physics-ai hybrid modeling W Xu, F Ling, T Han, H Chen, W Ouyang, LEI BAI Advances in Neural Information Processing Systems 37, 23325-23351, 2024 | 5 | 2024 |
| ResoNet: Robust and explainable ENSO forecasts with hybrid convolution and transformer networks P Lyu, T Tang, F Ling, JJ Luo, N Boers, W Ouyang, L Bai Advances in Atmospheric Sciences 41 (7), 1289-1298, 2024 | 4 | 2024 |
| Improving seasonal forecast of summer precipitation in southeastern China using cyclegan deep learning bias correction S Yang, F Ling, L Bai, JJ Luo Authorea Preprints, 2023 | 4 | 2023 |
| ORCA: A Global Ocean Emulator for Multi-year to Decadal Predictions Z Guo, P Lyu, F Ling, JJ Luo, N Boers, W Ouyang, L Bai arXiv e-prints, arXiv: 2405.15412, 2024 | 3 | 2024 |
| Improving global weather and ocean wave forecast with large artificial intelligence models F Ling, L Ouyang, BR Larbi, JJ Luo, T Han, X Zhong, L Bai Science China Earth Sciences, 1-14, 2024 | 2 | 2024 |
| Probabilistic diffusion model for stochastic parameterization--a case example of numerical precipitation estimation B Pan, LY Wang, F Zhang, Q Duan, X Li, X Pan, X Chen, F Ling, S Wang, ... Authorea Preprints, 2023 | 2 | 2023 |
| Physically Consistent Global Atmospheric Data Assimilation with Machine Learning in a Latent Space H Fan, B Fei, P Gentine, Y Xiao, K Chen, Y Liu, Y Qu, F Ling, L Bai arXiv preprint arXiv:2502.02884, 2025 | 1 | 2025 |
| Improving the Seasonal Forecast of Summer Precipitation in Southeastern China Using a CycleGAN-based Deep Learning Bias Correction Method S Yang, F Ling, JJ Luo, L Bai Advances in Atmospheric Sciences 42 (1), 26-35, 2025 | 1 | 2025 |
| Data-driven Global Ocean Modeling for Seasonal to Decadal Prediction Z Guo, P Lyu, F Ling, L Bai, JJ Luo, N Boers, T Yamagata, T Izumo, ... arXiv preprint arXiv:2405.15412, 2024 | 1 | 2024 |
Jing-Jia LuoNanjing University of Information Science and Technology (previously Australian Bureau ofZweryfikowany adres z nuist.edu.cn