大气环境遥感

气溶胶-辐射-云-降水相互作用

气溶胶与气候变化

本科生数理通识课：科学认识雾霾

研究生学位基础课：全球变化科学与技术

国家自然科学基金面上项目，基于梯度提升网络的生物质燃烧气溶胶地表太阳辐射效应量化研究，2023/01-2026/12，主持。

国家重点研发计划项目（2017YFC1501403）子课题，“气溶胶对流云降水相互作用机理研究及京津冀区域模式应用示范”第三课题子课题“吸收性气溶胶对中国东部地区气溶胶-辐射相互作用的贡献研究”，2018/01-2021/12，主持。

Lu Chen, Haoze Shi, Hong Tang, Xin Yang*, et al. (2024). Two-stage estimation of hourly diffuse solar radiation across China using end-to-end gradient boosting with sequentially boosted features, Remote Sensing of Environment, Volume 315, 114445,https://doi.org/10.1016/j.rse.2024.114445.

Xin Yang*, Zhigang Li, Zhanyu Yao, et al. (2023). COVID-19pandemic reveals distinct impact of aerosols on surface solarradiation inChina. Geophysical Research Letters, 50,e2022GL101353.https://doi.org/10.1029/2022GL101353.

Haoze Shi, Naisen Yang, Xin Yang*, et al. (2023). Clarifying Relationship between PM2.5 Concentrationsand Spatiotemporal Predictors Using Multi-Way Partial Dependence Plots, RemoteSensing 15, no. 2: 358.https://doi.org/10.3390/rs15020358.

Zhigang Li, Xin Yang*,Hong Tang, et al. (2023). Quantitative assessment of the impact of biomassburning episodeson surface solar radiation using machine learning technology: Acase study of apollution event in Beijing,Journal of Atmospheric andSolar-Terrestrial Physics, Volume 243, 106022, https://doi.org/10.1016/j.jastp.2023.106022.

Zhigang Li, Haoze Shi, Xin Yang*, et al. (2022). Investigating the nonlinear relationship between surface solarradiation and its influencingfactors in North China Plain using interpretablemachine learning, Atmospheric Research, Volume 280, 106406, https://doi.org/10.1016/j.atmosres.2022.106406.

Naisen Yang, Haoze Shi, Hong Tang*, Xin Yang*. (2022). Geographicalandtemporal encoding for improving the estimation of PM2.5 concentrations inChinausing end-to-end gradient boosting, Remote Sensing of Environment, 269,112828, https://doi.org/10.1016/j.rse.2021.112828.

北京市科学技术奖自然科学二等奖，北京市人民政府，2021

北京师范大学“优秀教学成果”一等奖，北京师范大学，2014年