桂柯，男，副研究员，硕士生导师

主要从事多尺度气溶胶变化与环境气象影响研究，在基于多源数据融合的大气污染物定量反演技术、我国及全球气溶胶污染时空变化驱动力研究、极端气溶胶污染事件精细化演变机理及气候环境影响等方面取得了多项创新性成果。现主持国家自然科学基金面上、中国气象局“揭榜挂帅”、国家重点研发计划项目子课题等科研项目5项，在National Science Review、Science Bulletin、Engineering、npj Climate and Atmospheric Science、Atmospheric Chemistry and Physics、Environment International、Journal of Climate、Environmental Science & Technology Letters、Environmental Research Letters和Journal of Geophysical Research: Atmospheres等国内外地球与环境科学领域的高质量学术期刊上，以第一/通讯作者身份发表SCI论文28篇。研究成果被SCI总引3600余次（谷歌学术引用4200余次），H指数30，3篇论文入选地学领域ESI前1%高被引论文。现担任《应用气象学报》青年编委和青年编委秘书、《气象与环境学报》青年编委、北京气象学会青年专业委员会副主任委员、世界气象组织（WMO）浮尘公报编写专家、中国颗粒学会青年理事、龙凤山区域大气本底站客座专家、清华大学中国大气成分近实时追踪数据集工作组成员等。研究成果入选“2022年度中国生态环境十大科技进展”，曾获2023年谢义炳青年气象科技奖、北京市科学技术进步奖、中国颗粒学会自然科学奖、中国气象局“十三五”以来气象行业科技成果评价优秀奖、北京大学唐孝炎环境科学创新奖，入选北京市科协青年人才托举工程、中国气象局青年气象英才、2023年度“海淀青年榜样”年度人物、中国气象科学研究院高层次人才培养计划（骨干）和优秀青年等。

主要研究方向

1. 气溶胶动态融合反演与智能预报

2. 气溶胶-天气气候环境相互作用

3. 人工智能在环境气象中的应用

2020年7月  中国科学院大学  获博士学位

2020年8月至2022年11月  中国气象科学研究院 大气成分与环境气象研究所   任助理研究员
2022年12月至今  中国气象科学研究院 大气成分与环境气象研究所   任副研究员

第一和通讯作者论文（2024年9月更新）：

2024年: 

1. Gui, K., Zhang, X., Che, H.* et al (2024). Future climate-driven escalation of Southeastern Siberia wildfires revealed by deep learning. npj Climate and Atmospheric Science 7, 263.

2. 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.

3. 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.

4. Yao, W., Gui, K.*, Zhao, H., ... Che, H.*, & Zhang, X. (2024). Reconstruction of historical site-scale dust optical depth (DOD) time series from surface dust records and satellite retrievals in northern China: application to the evaluation of DOD in CMIP6 historical simulations. Journal of Climate, 2024. 

5. 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.

6. 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.

2023年: 

2. 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. 

3. 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.

4. 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.

5. 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.

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.

2021年: 

1. 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.

2. 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.

3. 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.

3. 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.

4. 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. 

5. 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.

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

入选人才计划和获奖情况

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: 辽宁省气象局气象应用研究成果奖（2/8）

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”

指导（共同指导）的研究生获奖情况

1.硕士研究生要文瑞获2021年度“华云优秀毕业生”二等奖

2.硕士研究生尚楠轩获2024年度“华云优秀毕业生”一等奖

3.硕士研究生张栩滔获中国气象服务协会“宏图杯”首届青年AI气象应用创意作品二等奖

4.硕士研究生尚楠轩获中国气象服务协会“宏图杯”首届青年AI气象应用创意作品三等奖