个人简介：理学博士，教授，博士生导师，大气科学学位点长。长期从事大气探测相关科研工作，涉及从观测数据处理、反演算法设计到科学问题研究等在内的多个方面。主要基于空基和地基各种平台所搭载的多种先进仪器的遥感观测结果，开展辐射传输模拟仿真、仪器重定标和多种地气参数反演等技术相关的应用研究；并由此建立相应的遥感数据产品，开展与大气水循环及能量平衡等问题相关的科学分析和模式模拟研究；并与量子技术、人工智能和深空探测等前沿学科深度交叉融合。

研究方向：

n  星载主被动微波遥感技术：

新一代微波探测仪器的仿真预研

多种微波探测仪器的在轨定标

多种地气参数的反演算法研制

多种科研和业务应用产品开发

n  天气及气候科学问题：

气溶胶-云-降水相互作用研究

气候变量的长期趋势分析

n  气象量子技术：

量子激光雷达的多种云雨参数反演

气象相关的量子计算算法开发及实际应用

n  深空探测技术：

射电望远镜相位及天体位置校准

近5年部分代表性论著：

Wu B., Y. Wang*, X. Fan, S. Liu, and Y. Fu (2024), A mixing scheme of ice particle models for global ice cloud measurements, Remote Sens. Environ., 313, 114356, doi：10.1016/j.rse.2024.114356.

Fan X., B. Wu, Y. Wang* and J. Xi (2024), Diurnal cycles of rain storms over south China during the presummer rainy season, Atmos. Res., 310, doi：10.1016/j.atmosres.2024.107641.

Xi J., R. Li, X. Fan and Y. Wang* (2024), Aerosol effects on the three-dimensional structure of organized precipitation systems over Beijing-Tianjin-Hebei region in summer, Atmos. Res., 298, doi: 10.1016/j.atmosres.2023.107146.

Liu S., B. Wu, C.Z. Zou and Y. Wang* (2023), Highly Consistent Brightness Temperature Fundamental Climate Data Record From SSM/I and SSMIS, IEEE Trans. Geosci. Remote., 61, doi: 10.1109/TGRS.2023.3316694.

Wang, Y., R. Li, J. Hu, X. Wang, C.Kabeja, Q. Min and Y. Wang* (2021), Evaluations of MODIS and microwave based satellite evapotranspiration products under varied cloud conditions over East Asia forests, Remote Sens. Environ., 264, 112606, doi: 10.1016/j.rse.2021.112606.

Wu B, Y. Wang*, C. Zou, R. Li, S. Liu, G. Liu and Y. Fu (2020), A fundamental climate data record from AMSR-E, MWRI and AMSR2, IEEE Trans. Geosci. Remote., 58(8), 5450-5461, doi: 10.1109/TGRS.2020.2966055.

Li R, Y. Wang, J. Hu, Y. Wang*, Q. Min, Y. Bergeron, O. Valeria, Z. Gao, J. Liu, and Y. Fu (2020), Spatiotemporal Variations of Satellite Microwave Emissivity Difference Vegetation Index in China under Clear and Cloudy Skies, Earth Space Sci., 7, e2020EA001145, doi:10.1029/2020EA001145.

Zhao, C., M. Xu,Y. Wang*, M. Zhang, J. Guo, Z. Hu, L. Leung, M. Duda, and W. Skamarock (2019), Modeling extreme precipitation over East China with a global variable-resolution modeling framework (MPASv5.2): impacts of resolution and physics, Geosci. Model Dev., 12, 2707-2726, doi:10.5194/gmd-12-2707-2019.