姓名: 孙溦 理学博士，副研究员
Email: sunwei@cma.gov.cn
科研和研究生招生方向：
1、 资料同化
2、 数值天气预报
3、 极端天气与数值模拟
个人简介：
孙溦，中国气象科学研究院副研究员，美国国家大气研究中心（NCAR）博士后，入选北京市科技新星计划，中国气象局青年英才，中国气象科学研究院高层次人才培养计划。主要从事资料同化与数值模拟研究，多项研究成果收录于国际主流公共数值模式，在Science Bulletin等期刊发表SCI论文20余篇，国家发明专利4项。
在研项目：
1. 高原致灾气象过程的数值预报新技术，中华人民共和国科学技术部，国家重点研发计划课题，项目骨干
2. 面向京津冀复合型空气污染的多源资料同化系统研发及应用，北京市科学技术委员会，北京市科技新星计划，项目负责人
3. 大气运动矢量再分析同化应用分系统，风云四号02批气象卫星工程地面应用系统，项目负责人
近5年发表论文（*为通信作者）：
1. Zheng, Q., W. Sun*, J. Li, Y. Feng, Z. Heng, and X. Jiang, 2024: Impacts of Moisture Advection Scheme on Precipitation in the Steep Topography Region between the Tibetan Plateau and the Sichuan Basin. https://doi.org/10.1175/JAMC-D-23-0111.1.
2. Wei, Ying, Xiujuan Zhao, Ziyin Zhang, Jing Xu, Siyu Cheng, Zhiquan Liu, Wei Sun, et al, 2024: Impact of model resolution and its representativeness consistency with observations on operational prediction of PM2. 5 with 3D-VAR data assimilation. Atmospheric Pollution Research, 102141.
3. Zhang, Mengke, Jian Li, Nina Li, Wei Sun, Puxi Li, and Yin Zhao, 2024: Spatial inhomogeneity of synoptic‐induced precipitation in a region of steep topographic relief: A case study. Journal of Geophysical Research: Atmospheres, 129, e2023JD039129.
4. Sun, W., J. Li, R. Yu, N. Li, and Y. Zhang, 2024: Exploring changes of precipitation extremes under climate change through global variable-resolution modeling. Science Bulletin, 69, 237-247.
5. Feng, J., Y. Duan, W. Sun, and Y. Zhou, 2023: Sensitivity Analysis of Assimilating Doppler Radar Radial Winds within the Inner‐and Outer‐Core Regions of Tropical Cyclones. Journal of Geophysical Research: Atmospheres, e2022JD037583.
6. Feng, J., Y. Duan, X. Liang, W. Sun, T. Liu, and Q. Wang, 2022: QuickOSSE Research on the Impact of Airship-Borne Doppler Radar Radial Winds to Predict the Track and Intensity of a Tropical Cyclone. Remote Sensing, 15, 191.
7. Sun, W., Z. Liu, C. A. Davis, F. M. Ralph, L. Delle Monache, and M. Zheng, 2022a: Impacts of dropsonde and satellite observations on the forecasts of two atmospheric-river-related heavy rainfall events. Atmospheric Research, 278, 106327.
8. Sun, W., Z. Liu, G. Song, Y. Zhao, S. Guo, F. Shen, and X. Sun, 2022b: Improving Wind Speed Forecasts at Wind Turbine Locations over Northern China through Assimilating Nacelle Winds with WRFDA. Weather and Forecasting, 37, 545-562.
9. Gao, L., Z. Liu, W. Sun, P. Yan, Y. Chen, Z. Bu, and H. Hu, 2022: Three-dimensional variational assimilation of Lidar extinction profiles: Application to PM2. 5 prediction in north China. Atmospheric Environment, 269, 118828.
10. Sun, W., and Y. Xu, 2021: Assimilation of FY-3D MWHS-2 radiances with WRF hybrid-3DVar system for the forecast of heavy rainfall evolution associated with Typhoon Ampil. Monthly Weather Review, 149, 1419-1437.
11. Sun, W., Z. Liu, D. Chen, P. Zhao, and M. Chen, 2020: Development and application of the WRFDA-Chem three-dimensional variational (3DVAR) system: aiming to improve air quality forecasting and diagnose model deficiencies. Atmospheric Chemistry and Physics, 20, 9311-9329.
12. Ha, S., Z. Liu, W. Sun, Y. Lee, and L. Chang, 2020: Improving air quality forecasting with the assimilation of GOCI aerosol optical depth (AOD) retrievals during the KORUS-AQ period. Atmospheric Chemistry and Physics, 20, 6015-6036.
13. Sun, W., J. Li, R. Yu, and W. Yuan, 2018: Circulation structures leading to propagating and non-propagating heavy summer rainfall in central North China. Climate Dynamics, 51, 3447-3465.
