个人简介：
博士，正研高工，博导，气象领军人才，中国气象局地球系统数值预报中心卫星资料同化室副主任，风云气象卫星工程应用系统副总设计师，中国气象学会卫星气象学学会副主任委员，《Monthly Weather Review》和《Advances in Atmospheric Sciences》编委。长期致力于我国自主研发的数值天气预报系统GRAPES，提出有约束观测偏差订正方法，系统解决了卫星资料同化领域困扰多年的观测偏差订正向模式 “偏差漂移”国际性难题；突破国产卫星资料同化多项“卡脖子”难题，建立了全链条自主可控的卫星资料同化系统；多项成果在中国气象局和欧洲中期天气预报中心实现业务应用。曾获中国气象学会气象科学技术进步成果一等奖、邹竞蒙气象科技人才奖、国家科技进步二等奖、国际TOVS会议最佳报告奖和首届国家卓越工程师团队奖等奖励。
主要研究方向：
主要研究方向为数据同化算法、卫星数据同化及人工智能与数值预报的结合，欢迎大气科学、应用数学、计算数学、流体力学、人工智能等相关专业毕业并热爱科研的同学报考，也欢迎对数据同化和卫星数据定量应用有兴趣的本科生联系，可以从本科阶段进行针对性指导。
承担科研项目：
1) 国家重点研发计划项目课题《基于全球/区域一体化同化框架的风云卫星全天候同化技术研究》，2022-11-01 / 2025-10-31，362万，在研，主持
2) 国家自然科学基金课题（重大项目）子课题，全球区域化学天气耦合同化系统发展和关键观测资料应用，2021-01-01 / 2025-12-31，85万，在研，主持
3) 国家自然科学基金面目项目，业务资料同化中多源观测系统最优权重的整体估计研究，2021-01-01 / 2024-12-31，58万，主持
近5年代表性论文（第一作者和通讯作者）：
1) Li Yonghui, Han Wei* & Duan Wansuo(2024) . A dynamic channel selection based on vertical sensitivities for the assimilation of FY-4A GIIRS targeted observations, Quarterly Journal of the Royal Meteorological Society, https://doi.org/10.1002/qj.4760
2) Yang, Y., Han, Wei*, Sun, H., Xie, H., & Gao, Z. (2024). Reconstruction of 3D DPR observations using GMI radiances. Geophysical Research Letters, 51, e2023GL106846. https://doi.org/10.1029/2023GL106846
3) Li, Z. & Han, W.* (2024) Impact of HY-2B SMR radiance assimilation on CMA global medium-range weather forecasts. Quarterly Journal of the Royal Meteorological Society, 150(759), 937–957. https://doi.org/10.1002/qj.4630
4) Wang Gen, Han Wei*, Yuan Song, Wang Jing, Yin Ruoying,Ye Song, Xie Feng, 2024: Retrieval of High-Frequency Temperature Profiles by FY-4A/GIIRS Based on Generalized Ensemble Learning [J].Journal of the Meteorological Society of Japan, 102, https://doi.org/10.2151/jmsj.2024-011.
5) Xu, X., Sun, X., Han, W.*, Zhong, X., Chen, L., Li, H., 2024. Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observations (No. arXiv:2404.08522). arXiv. https://doi.org/10.48550/arXiv.2404.08522
6) Xie, H., Bi, L.*, and Han, W.*: ZJU-AERO V0.5: An Accurate and Efficient Radar Operator Designed for CMA-GFS/MESO with Capability of Simulating Non-spherical Hydrometeors, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2023-225, in review, 2024.
7) Han, W. et al. (2023). Assimilation of Geostationary Hyperspectral Infrared Sounders (GeoHIS): Progresses and Perspectives. In: Park, S.K. (eds) Numerical Weather Prediction: East Asian Perspectives. Springer Atmospheric Sciences. Springer, Cham. https://doi.org/10.1007/978-3-031-40567-9_8
8) Xie, H., Han, W.* & Bi, L.*(2023) Assimilating FY3D-MWRI 23.8 GHz observations in the CMA-GFS 4DVAR system based on a pseudo All-Sky data assimilation method. Quarterly Journal of the Royal Meteorological Society, 149(756), 3014–3043. https://doi.org/10.1002/qj.4544
9) Xiao, H., Han, W.*, Zhang, P., & Bai, Y. (2023). Assimilation of data from the MWHS-II onboard the first early morning satellite FY-3E into the CMA global 4D-Var system. Meteorological Applications, 30(3), e2133. https://doi.org/10.1002/met.2133
10) Ma, Z., Han, W.*, Zhao, C., Zhang, X., Yang, Y., Wang, H., Cao, Y., Li, Z., Chen, J., Jiang, Q., Sun, J., Shen, X., 2022. A case study of evaluating the GRAPES_Meso V5.0 forecasting performance utilizing observations from South China Sea Experiment 2020 of the “Petrel Project.” Atmospheric Research 280, 106437. https://doi.org/10.1016/j.atmosres.2022.106437
11) Chen, K., Fan, X., Han, W.*, Xiao, H., 2022. A Remapping Technique of FY-3D MWRI Based on a Convolutional Neural Network for the Reduction of Representativeness Error. IEEE Transactions on Geoscience and Remote Sensing 60, 1–11. https://doi.org/10.1109/TGRS.2021.3138395
12) 陈柯，洪鹏飞，韩威*，李泽宇，王皓，王金成，陈昊，张志清，谢振超. 2021. 基于GRAPES四维变分的静止轨道微波观测系统模拟试验研究. 气象学报，79（5）：769-785 doi: 10.11676/qxxb2021.048
13) Yin, R., Han, W.*, Gao, Z., Li, J., 2021. Impact of High Temporal Resolution FY-4A Geostationary Interferometric Infrared Sounder (GIIRS) Radiance Measurements on Typhoon Forecasts: Maria (2018) Case With GRAPES Global 4D-Var Assimilation System. Geophysical Research Letters 48, e2021GL093672. https://doi.org/10.1029/2021GL093672
14) Chen, H., Han, W. *, Wang, H., Pan, C., An, D., Gu, S., Zhang, P., 2021. Why and How Does the Actual Spectral Response Matter for Microwave Radiance Assimilation? Geophysical Research Letters 48, e2020GL092306. https://doi.org/10.1029/2020GL092306
15) Wang, G., Han, W.*, Lu, S., 2021. Precipitation retrieval by the L1-norm regularization: Typhoon Hagibis case. Quarterly Journal of the Royal Meteorological Society 147, 773–785. https://doi.org/10.1002/qj.3945
16) Yin, J., Han, W.*, Gao, Z., Chen, H., 2021. Assimilation of Doppler radar radial wind data in the GRAPES mesoscale model with observation error covariances tuning. Quarterly Journal of the Royal Meteorological Society 147, 2087–2102. https://doi.org/10.1002/qj.4036
17) Xiao, H., Han, W.*, Wang, H. et al. Impact of FY-3D MWRI Radiance Assimilation in GRAPES 4DVar on Forecasts of Typhoon Shanshan. J Meteorol Res 34, 836–850 (2020). https://doi.org/10.1007/s13351-020-9122-x
18) Yin Ruoying, Han Wei*, Gao Zhiqiu, Di Di. The evaluation of FY4A's Geostationary Interferometric Infrared Sounder (GIIRS) long-wave temperature sounding channels using the GRAPES global 4D-Var. Q J R Meteorol Soc. 2020; 146:1459–1476. https://doi.org/10.1002/qj.3746
19) Xie, H., Bi, L., Han, W.*, Wang, J., 2020. Vertical Inhomogeneity Effect of Frozen Hydrometeor Habits in All-Sky Passive Microwave Simulations. Journal of Geophysical Research: Atmospheres 125, e2020JD032817. https://doi.org/10.1029/2020JD032817
20) 尹若莹,韩威*,高志球,王根. 2019. 基于FY-4A卫星探测区域模式背景误差和观测误差估计的长波红外通道选择研究[J]. 气象学报, 77(5):898-910, doi:10.11676/qxxb2019.051
联系方式：
电子邮箱：hanwei@cma.gov.cn
通讯地址：北京市中关村南大街46号，中国气象局地球系统数值预报中心，100081