代表性论文：

1. Gui, K., Che, H.*, Tian, L., Wang, Y., Shi, C., Yao, W., ... & Zhang, X. (2022). Columnar optical, microphysical and radiative properties of the 2022 Hunga Tonga volcanic ash plumes. Science Bulletin, 67(19), 2013-2021.

2. Gui, K., Che, H.*, Li, L., Zheng, Y., Zhang, L., Zhao, H., ... & Zhang, X. (2022). The significant contribution of small-sized and spherical aerosol particles to the decreasing trend in total aerosol optical depth over land from 2003 to 2018. Engineering, 16, 82-92.

3. Gui, K., Yao, W., Che, H.*, An, L., Zheng, Y., Li, L., ... & Zhang, X. (2022). Record-breaking dust loading during two mega dust storm events over northern China in March 2021: Aerosol optical and radiative properties and meteorological drivers. Atmospheric Chemistry and Physics, 22(12), 7905-7932.

4. Gui, K., Che, H.*, Zheng, Y., Zhao, H., Yao, W., Li, L., ... & Zhang, X. (2021). Three-dimensional climatology, trends, and meteorological drivers of global and regional tropospheric type-dependent aerosols: insights from 13 years (2007–2019) of CALIOP observations. Atmospheric Chemistry and Physics, 21(19), 15309-15336.

5. Gui, K., Che, H.*, Zeng, Z., Wang, Y., Zhai, S., Wang, Z., ... & Zhang, X. (2020). Construction of a virtual PM2. 5 observation network in China based on high-density surface meteorological observations using the Extreme Gradient Boosting model. Environment International, 141, 105801.

6. Gui, K., Che, H.*, Wang, Y., Wang, H., Zhang, L., Zhao, H., ... & Zhang, X. (2019). Satellite-derived PM2. 5 concentration trends over Eastern China from 1998 to 2016: Relationships to emissions and meteorological parameters. Environmental pollution, 247, 1125-1133.

7. Gui, K., Che, H.*, Zheng, Y., Wang, Y., Zhang, L., Zhao, H., ... & Zhang, X. (2021). Seasonal variability and trends in global type-segregated aerosol optical depth as revealed by MISR satellite observations. Science of The Total Environment, 787, 147543.

8. Gui, K., Che, H.*, Yao, W., Zheng, Y., Li, L., An, L., ... & Zhang, X. (2023). Quantifying the contribution of local drivers to observed weakening of spring dust storm frequency over northern China (1982–2017). Science of The Total Environment, 894, 164923.

9. Gui, K., Che, H.*, Chen, Q., Zeng, Z., Liu, H., Wang, Y., ... & Zhang, X. (2017). Evaluation of radiosonde, MODIS-NIR-Clear, and AERONET precipitable water vapor using IGS ground-based GPS measurements over China. Atmospheric Research, 197, 461-473.

10. Gui, K., Che, H.*, Chen, Q., Zeng, Z., Zheng, Y., Long, Q., ... & Zhang, X. (2017). Water vapor variation and the effect of aerosols in China. Atmospheric Environment, 165, 322-335.

11. Gui, K., Che, H.*, Wang, Y., Xia, X., Holben, B. N., Goloub, P., ... & Zhang, X. (2021). A global-scale analysis of the MISR Level-3 aerosol optical depth (AOD) product: Comparison with multi-platform AOD data sources. Atmospheric Pollution Research, 12(12), 101238.

12. Gui, K., Che, H.*, Chen, Q., An, L., Zeng, Z., Guo, Z., ... & Zhang, X. (2016). Aerosol optical properties based on ground and satellite retrievals during a serious haze episode in December 2015 over Beijing. Atmosphere, 7(5), 70.

13. Gui, K., Che, H.*, Chen, Q., Yu, J., Zheng, Y., Lu, S., ... & Shi, G. (2016). Analysis of the error in retrievals of aerosol optical properties from sunphotometer measurements of CARSNET due to a variety of objective factors. Atmosphere, 7(1), 9.

14. Zhang, X., Gui, K.*, Zeng, Z., Fei, Y., Li, L., Zheng, Y.,... Che, H.* & Zhang, X. (2024). Mapping the seamless hourly surface visibility in China: a real-time retrieval framework using a machine-learning-based stacked ensemble model. npj Climate and Atmospheric Science, 7, 68.

15. Zhong, J., Zhang, X.*, Gui, K.*, Wang, Y., Che, H., Shen, X., ... & Zhang, W. (2021). Robust prediction of hourly PM2. 5 from meteorological data using LightGBM. National science review, 8(10), nwaa307.

16. Zhao, H., Gui, K.*, Yao, W., Shang, N.,... Che, H.*, & Zhang, X. (2023).  Seasonal and diurnal variations in XCO2 characteristics in China as observed by OCO-2/3 satellites: effects of land cover and local meteorology. Journal of Geophysical Research: Atmospheres. 

17. Yao, W., Gui, K.*, Wang, Y., Che, H., & Zhang, X. (2021). Identifying the dominant local factors of 2000–2019 changes in dust loading over East Asia. Science of The Total Environment, 777, 146064.
18. Yao, W., Gui, K.*, Zheng, Y., Li, L., Wang, Y., Che, H.*, & Zhang, X. (2023). Seasonal cycles and long-term trends of arctic tropospheric aerosols based on CALIPSO lidar observations. Environmental Research, 216, 114613.

19. Liao, T., Gui, K.*, Li, Y., Wang, X., & Sun, Y. (2021). Seasonal distribution and vertical structure of different types of aerosols in southwest China observed from CALIOP. Atmospheric Environment, 246, 118145.

20. Cai, H., Gui, K.*, Jiang, W., Mao, Y., Yang, Y., & Zhao, Z. (2023). Climatology and interannual variability of type-dependent aerosol optical depth and vertical distribution over southwest China and northern India from multiple satellite and aerosol reanalysis datasets. Atmospheric Environment, 294, 119528.

21. Shang, N., Gui, K.*, Zhao, H., Yao, W., Zhao, H., Zhang, X., ... Che, H.* & Zhang, X. (2023). Decomposition of meteorological and anthropogenic contributions to near-surface ozone trends in Northeast China (2013–2021). Atmospheric Pollution Research, 14(9), 101841.

22. Liu, Y., Gui, K.*, Chen, Q., Feng, L., Cai, H., Zhang, X., ... & Che, H*. (2024). Three-dimensional structure and transport flux of springtime smoke aerosols over the Indochina Peninsula. Atmospheric Research, 107293.

23. Che, H., Gui, K., Xia, X., Wang, Y., Holben, B. N., Goloub, P., ... & Zhang, X. (2019). Large contribution of meteorological factors to inter-decadal changes in regional aerosol optical depth. Atmospheric Chemistry and Physics, 19(16), 10497-10523.

24. Che, H., Gui, K., Chen, Q., Zheng, Y., Yu, J., Sun, T., ... & Shi, G. (2016). Calibration of the 936 nm water-vapor channel for the China aerosol remote sensing NETwork (CARSNET) and the effect of the retrieval water-vapor on aerosol optical property over Beijing, China. Atmospheric Pollution Research, 7(5), 743-753.

2018：北京大学唐孝炎环境科学创新奖

2018：《ATMOSPHERIC ENVIRONMENT》杂志 “杰出审稿人”称号

2019：论文入选NASA戈达德地球科学数据和信息服务中心2019年度Giovanni Hall of Fame images

2020：华云优秀研究生一等奖

2021：北京市科学技术协会“青年人才托举工程”

2022：中国气象科学研究院“高层次人才培养计划（骨干）”

2022：中国气象科学研究院“优秀青年奖”

2022：中国颗粒学会自然科学二等奖（6/7）

2022：中国气象局“十三五”以来气象行业科技成果评价优秀奖（9/15）

2023：2022年度中国生态环境十大科技进展（3/6）

2023：北京市科学技术进步二等奖（6/10）

2023：谢义炳青年气象科技奖