桂柯
副研究员代表性论文:
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. Shang, N., Gui, K.*, ... Che, H.* & Zhang, X. (2024). Toward an Operational Machine-Learning-Based Model for Deriving the Real-Time Gapless Diurnal Cycle of Ozone Pollution in China with CLDAS Data. Environmental Science & Technology Letters, https://doi.org/10.1021/acs.estlett.4c00106.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. Zhao, H., Gui, K.*, Yao, W., Shang, N., Zhang, X., Liang, Y., ... Che, H.* & Zhang, X. (2024). Relative contributions of component-segregated aerosols to trends in aerosol optical depth over land (2007–2019): Insights from CAMS aerosol reanalysis. Atmospheric Environment, 120676.
25. 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.
26. 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
2024:2023年度“海淀青年榜样”年度人物
2024:中国气象局青年气象英才