韩威，博士，研究员，现任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、风云四号卫星数值预报应用首席专家、卫星气象学学会副主任委员、《Monthly Weather Review》和《Advances in Atmospheric Sciences》编委。

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。

长期致力于我国自主研发的数值天气预报系统GRAPES，解决了全球业务同化多项核心技术难题，为我国全球同化预报系统GRAPES业务化做出了突出贡献；在卫星资料同化领域取得多项创新成果，并在中国气象局业务数值预报系统GRAPES和ECMWF数值预报系统中得到业务应用。曾三次应欧洲气象卫星组织邀请到欧洲中期天气预报中心（ECMWF）访问工作，两次应邀到美国开展合作研究。提出并在业务资料同化系统中实现了有约束观测偏差订正原创性方法（CBC,2014；CVarBC，2016），系统解决了国际上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”难题；提出了大气化学卫星红外高光谱辐射率资料直接同化中“锚定通道”的方法，首次在业务数值预报系统中成功实现了红外资料臭氧通道辐射率资料的直接同化(2010)，解决了臭氧分析中极区冬半年卫星观测应用缺失问题，应用于ECMWF IFS 系统，显著改善了对流层上层臭氧分析的质量；国际上率先实现了静止轨道红外高光谱大气探测仪FY-4A GIIRS观测同化（2018），提高了台风、暴雨等灾害性天气预报精度，在业务工程应用中发挥了静止卫星高光谱大气探测仪高时间分辨率的应用优势，确认了世界气象组织对静止高光谱探测仪的预期价值；发展了红外高光谱大气探测仪在轨参数快速最优估计技术（2021），发现了卫星仪器关键参数在复杂空间环境下的热形变规律，提高了光谱定标精度。

2017年获中国气象学会气象科学技术进步成果一等奖，2018年获第六届邹竞蒙气象科技人才奖，2021年获国家科技进步二等奖和第23届国际TOVS会议最佳报告奖。

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, DOI: 10.1002/qj.4760

Yang, Y., Han, W.*, 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

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. Available from:https://doi.org/10.1002/qj.4630

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.

Wang Gen, Han Wei*, Ye Song, Yuan Song, Wang Jing, Xie Feng,2024:  FY-4A/AGRI infrared brightness temperature estimation of precipitation based on multi-model ensemble learning [J]. Earth and Space Science,2024,11, e2023EA003311. https://doi.org/10.1029/2023EA003311. 

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

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. Available from:https://doi.org/10.1002/qj.4544

Wang, X., Bi, L., Han, W., & Zhang, X. (2023). Single-scattering properties of encapsulated fractal black carbon particles computed using the invariant imbedding T-matrix method and deep learning approaches. Journal of Geophysical Research: Atmospheres, 128, e2023JD039568. https://doi.org/10.1029/2023JD039568

H. Chen, Y. Song, W. Han*, C. Pan, H. Wang and G. -M. Jiang, 2023,"Effect of Axisymmetrical Spectral Response Function on Microwave Radiance Simulation of Quadruple-Sideband Channel," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2023.3309139.

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

Zhou, Y., Y. Liu, and W. Han, 2023: Demonstrating the Potential Impacts of Assimilating FY-4A Visible Radiances on Forecasts of Cloud and Precipitation with a Localized Particle Filter. Mon. Wea. Rev., 151, 1167–1188, https://doi.org/10.1175/MWR-D-22-0133.1.

Li Z., Han W.*, Xu H., Xie H., Zou J. Biases’ Characteristics Assessment of the HY-2B Scanning Microwave Radiometer (SMR)’s Observations. Remote Sensing. 2023; 15(4):889. https://doi.org/10.3390/rs15040889

Jin, J., Fang, L., Li, B., Liao, H., Wang, Y., Han, W., Li, K., Pang, M., Wu, X., Lin, H.X., 2023. 4DEnVar-based inversion system for ammonia emission estimation in China through assimilating IASI ammonia retrievals. Environ. Res. Lett. https://doi.org/10.1088/1748-9326/acb835

Chan, P.-W., W. Han, B. Mak, X. H. Qin, Y. Z. Liu, R. Y. Yin, and J. C. Wang, 2023: Ground–space–sky observing system experiment during tropical cyclone Mulan in August 2022. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-022-2267-z

Yin, R.; Han, W.*; Wang, H.;Wang, J. 2022, Impacts of FY-4A GIIRS Water Vapor Channels Data Assimilation on the Forecast of“21·7” Extreme Rainstorm in Henan,China with CMA-MESO. Remote Sens. 2022, 14, 5710. https://doi.org/10.3390/rs14225710

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

Yu, J., Bi, L., Han, W.*, Zhang, X., 2022. Application of a Neural Network to Store and Compute the Optical Properties of Non-Spherical Particles. Adv. Atmos. Sci. https://doi.org/10.1007/s00376-021-1375-5

Wang, J. C., X. W. Jiang, X. S. Shen, Y. G. Zhang, X. M. Wan, W. Han, and D. Wang, 2022: Assimilation of ocean surface wind data of HY-2B Satellite in GRAPES: Impacts on the analyses and forecasts. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-022-1349-2

Wang, Z., Bi, L., Wang, H., Wang, Y., Han, W., Zhang, X., 2022. Evaluation of a new internally-mixed aerosol optics scheme in the weather research and forecasting model. Journal of Quantitative Spectroscopy and Radiative Transfer 283, 108147. https://doi.org/10.1016/j.jqsrt.2022.108147

Jin, J., Pang, M., Segers, A., Han, W., Fang, L., Li, B., Feng, H., Lin, H.X., Liao, H., 2022. Inverse modeling of the 2021 spring super dust storms in East Asia. Atmospheric Chemistry and Physics 22, 6393–6410.

Li, W., Zhang, F., Lin, H., Chen, X., Li, J., Han, W., 2022. Cloud detection and classification algorithms for Himawari-8 imager measurements based on deep learning. IEEE Transactions on Geoscience and Remote Sensing 1–1. https://doi.org/10.1109/TGRS.2022.3153129

Li, W., Zhang, F., Bao, F., Wu, K., Li, J., Zhang, P., Han, W., 2022. Polarized discrete ordinate adding approximation for infrared and microwave radiative transfer. Journal of Quantitative Spectroscopy and Radiative Transfer 293, 108368. https://doi.org/10.1016/j.jqsrt.2022.108368

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

Bi L, Wang Z, Han W, Li W and Zhang X (2022) Computation of Optical Properties of Core-Shell Super-Spheroids Using a GPU Implementation of the Invariant Imbedding T-Matrix Method.Front. Remote Sens. 3:903312. doi: 10.3389/frsen.2022.903312

Han W., R. Knuteson, J. Li, D. Dee and A. Thomas. 2021, Assimilation of Geostationary Hyperspectral InfraRed Sounders (GeoHIS): Opportunities and Challenges, JCSDA Quarterly Newsletter, Spring 2021 no.69, 1-11, https://doi.org/10.25923/KZKY-4383

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

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

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

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

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

Ma, Z., Li, J., Han, W., Li, Z., Zeng, Q., Menzel, W.P., Schmit, T.J., Di, D., Liu, C.-Y., 2021. Four-Dimensional Wind Fields From Geostationary Hyperspectral Infrared Sounder Radiance Measurements With High Temporal Resolution. Geophysical Research Letters 48, e2021GL093794. https://doi.org/10.1029/2021GL093794

Yin, J., Gao, Z., Han, W., 2021. Application of a Radar Echo Extrapolation-Based Deep Learning Method in Strong Convection Nowcasting. Earth and Space Science 8, e2020EA001621. https://doi.org/10.1029/2020EA001621

Li, J., Geer, A.J., Okamoto, K. Otkin, J., Liu,Z.Q., Han,W., & Wang,P. 2022: Satellite All-sky Infrared Radiance Assimilation: Recent Progress and Future Perspectives. Adv. Atmos. Sci. 39, 9–21 . https://doi.org/10.1007/s00376-021-1088-9

WANG Jin-cheng, GONG Jian-dong, and HAN Wei*. The impact of assimilating of FY-3C GNOS GPS radio occultation observations on GRAPES forecasts [J]. J Trop Meteor, 2020, 26(4): 390-401, https://doi.org/10.46267/j.1006-8775.2020.034.

Di, D., Li, J., Han, W., Yin, R., 2021. Geostationary Hyperspectral Infrared Sounder Channel Selection for Capturing Fast-Changing Atmospheric Information. IEEE Transactions on Geoscience and Remote Sensing 1–10. https://doi.org/10.1109/TGRS.2021.3078829

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

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

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

基于GRU神经网络的太阳辐照度短期预测--《中国科技论文》2020年01期 [WWW Document], n.d. URL http://www.cnki.com.cn/Article/CJFDTotal-ZKZX202001002.htm (accessed 1.11.21).

Li, W., Zhang, F., Zhang, F., Shi, Y.-N., Iwabuchi, H., Zhu, M., Li, J., Han, W., Letu, H., Ishimoto, H., 2020. Efficient radiative transfer model for thermal infrared brightness temperature simulation in cloudy atmospheres. Opt. Express, OE 28, 25730–25749. https://doi.org/10.1364/OE.400130

Wang, G., Wang, K., Han, W.*, Wang, D., Qiu, X., 2020. Typhoon Maria Precipitation Retrieval and Evolution Based on the Infrared Brightness Temperature of the Feng-Yun 4A/Advanced Geosynchronous Radiation Imager. Advances in Meteorology. https://doi.org/10.1155/2020/4245037

Wang, G., Wang, D., Han, W.*, Yin, J., 2019. Typhoon Cloud System Identification and Forecasting Using the Feng-Yun 4A/Advanced Geosynchronous Radiation Imager Based on an Improved Fuzzy Clustering and Optical Flow Method. Advances in Meteorology. https://doi.org/10.1155/2019/5890794

Fan, Sihui, Han, Wei*, Gao, Zhiqiu, Yin, Ruoying, Zheng, Yu. Denoising Algorithm for the FY-4A GIIRS Based on Principal Component Analysis. Remote Sens. 2019, 11, 2710. https://doi.org/10.3390/rs11222710

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

孟智勇, 张福青, 罗德海, 谈哲敏, 方娟, 孙建华, 沈学顺, 张云济, 汪曙光, 韩威, 赵坤, 朱磊, 胡永云, 薛惠文, 马亚平, 张丽娟, 聂绩, 周瑞琳, 李飒, 刘泓君, 朱宇宁. 2019. 新中国成立70年来的中国大气科学研究: 天气篇. 中国科学: 地球科学, 49: 1875–1918, doi: 10.1360/SSTe-2019-0175

Jin, J., Segers, A., Heemink, A., Yoshida, M., Han, W., Lin, H.-X., 2019. Dust Emission Inversion Using Himawari-8 AODs Over East Asia: An Extreme Dust Event in May 2017. Journal of Advances in Modeling Earth Systems 11, 446–467. https://doi.org/10.1029/2018MS001491

Meng Z, Zhang F, Luo D, Tan Z, Fang J, Sun J, Shen X, Zhang Y, Wang S, Han W, Zhao K, Zhu L, Hu Y, Xue H, Ma Y, Zhang L, Nie J, Zhou R, Li S,Liu H, Zhu Y. 2019. Review of Chinese atmospheric science research over the past 70 years: Synoptic meteorology. Science China Earth Sciences,62: 1946–1991, https://doi.org/10.1007/s11430-019-9534-6

Jin, J., Segers, A., Heemink, A., Yoshida, M., Han, W., Lin, H.-X., 2019. Dust Emission Inversion Using Himawari-8 AODs Over East Asia: An Extreme Dust Event in May 2017. Journal of Advances in Modeling Earth Systems 11, 446–467. https://doi.org/10.1029/2018MS001491

Di, D., Jun Li, Han Wei, W. Bai, C. Wu, and W. Paul Menzel, 2018: Enhancing the fast radiative transfer model for FengYun-4 GIIRS by using local training profiles, Journal of Geophysical Research - Atmospheres, DOI: 10.1029/2018JD029089.

万晓敏, 龚建东, 韩威, 等, 2019. FY-4A云导风在GRAPES_RAFS中的同化应用评估. 气象, 45(4): 458-468. DOI: 10.7519/j.issn.1000-0526.2019.04.002. WAN Xiaomin, GONG Jiandong, HAN Wei, et al, 2019. The Evaluation of FY-4A AMVs in GRAPES_RAFS. Meteorological Monthly, 45(4): 458-468. DOI: 10.7519/j.issn.1000-0526.2019.04.002.

王金成, 陆慧娟, 韩威, 刘艳, 王瑞春, 张华, 黄静, 刘永柱, 郝民, 李娟, 田伟红,2017. GRAPES全球三维变分同化业务系统性能 [WWW Document]. URL http://html.rhhz.net/yyqxxb/html/20170102.htm (accessed 3.15.21).

Li Jun and Han Wei, 2017: A step forward toward Effectively using hyperspectral IR sounding information in NWP, Advances in Atmospheric Sciences, 34, 1263 - 1264.

Dong P., Han W., Li W., Jin S. (2017) Assessment of Radiative Effect of Hydrometeors in Rapid Radiative Transfer Model in Support of Satellite Cloud and Precipitation Microwave Data Assimilation. In: Park S., Xu L. (eds) Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III). Springer, Cham. https://doi.org/10.1007/978-3-319-43415-5_15

Han Wei and Niels Bormann, 2016: Constrained adaptive bias correction for satellite radiances assimilation in the ECMWF 4D-Var, ECMWF Technical Memorandum, 783. https://doi.org/10.21957/rex0omex

Han Wei and McNally AP. 2010: The 4D-Var assimilation of ozone-sensitive infrared radiances measured by IASI. Q. J. R. Meteorol. Soc. 136: 2025–2037. DOI:10.1002/qj.708

Han Wei and Huang Sixun, 2004：Equatorial trapped waves on the mean state with zonal slow variation，J. Hydrodynamics SER.B , 16(2),182-185.

Huang, Sixun, Han Wei and Wu Rongsheng, 2004: Theoretical analyses and numerical experiments of variational assimilation for one-dimensional ocean temperature model with techniques in inverse problems, Science in China (D),47(7), 630-638.

Huang Sixun, Xiang Jie and Han Wei, 2004: Nonlinear analysis of equatorial eastern pacific air-sea coupling oscillation and a limit-cycle theory for ENSO cycle. Appl. Math. Mech. in China, 25(5), 518-527.

黄思训，韩威，伍荣生，2003，结合反问题技巧对一维海温模式变分资料同化的理论分析及数值试验，中国科学（D辑），33（9），903-911.

2022:  中国气象局气象领军人才

2021：第23届国际TOVS会议最佳报告奖

2021：《区域/全球一体化数值天气预报业务系统》，国家科学技术进步奖二等奖

2018：中国气象学会第六届邹竞蒙气象科技人才奖

2017：《GRAPES_GFS全球中期数值预报系统开发和业务应用》，中国气象学会气象科学技术进步成果奖一等奖

2014：中国气象学会第八届全国优秀气象工作者