郭建平 :中国气象科学研究院研究员

更新时间:2024-09-21 03:57

郭建平,男,理学博士,中国气象科学院研究员,博士生导师,中国共产党党员,1978年11月生,任中国气象科学研究院灾害天气国家重点实验室研究员、博士生导师。入选第4批国家“万人计划”青年拔尖人才计划,2020年“爱思唯尔中国高被引学者”榜单。主要从事大气灰霾卫星遥感监测,气溶胶与云的相互作用卫星观测,陆地下垫面气溶胶光学厚度遥感反演模型,PM10(PM2.5)的遥感定量反演研究,以及气溶胶长期变化趋势及其气候效应研究。发表SCI收录论文200余篇,Web of Science引用9100余次,H指数52,谷歌 Scholar总引1万余次,H指数57。21篇论文入选ESI全球TOP 1%高被引论文(其中5篇入选ESI全球TOP 0.1%热点论文)。

人物简介

郭建平,男,中国气象科学研究院二级研究员、博士生导师,国家杰出青年基金获得者。新时代高层次气象科技创新领军人才计划气象领军人才,被授予“国家级首席科学家”称号,2020年以来连续入选“爱思唯尔中国高被引学者(大气科学)”榜单,2021年以来连续入选美国斯坦福大学发布的全球前2%顶尖科学家榜单。重点研发计划“重大自然灾害监测预警与防范”重点专项首批项目负责人,国家中华人民共和国国家自然科学基金委员会首批气象联合基金负责人,Geophysical Research Letters副主编(Associate Editor)。主要从事边界层气象,湍流-对流相互作用,以及气溶胶-云降水相互作用研究,瞄准现代气象观测业务体系的国家战略需求,聚焦边界层和云降水组网观测及局地热对流降水变化机制,取得了一系列创新性成果。先后获“中国科学院院长优秀奖”“美国地球物理学会JGR-Atmos. 2016年度优秀审稿人”“2016年度华风优秀研究生导师奖”“2021年度华风优秀研究生导师奖”“2022年度华风优秀研究生导师奖”“NSR期刊2018年度优秀论文奖”“AAS期刊2020年度优秀原创论文奖” “Geophysical Research Letters期刊2018-2019年度滔搏电子竞技俱乐部 Downloaded Paper奖”,三次获“华风优秀研究生导师奖”,荣获科技进步二等奖两次。

人物经历

2005年9月至2007年7月,在中国科学院遥感应用研究所攻读博士学位;

2007.07 至 2009.09 中国气象科学研究院 大气成分观测与服务中心 助理研究员;

2009.07 至 2014.06 中国气象科学研究院 大气成分观测与服务中心 副研究员;

2010.01 至 2010.07 荷兰屯特大学 国际摄影测量与遥感研究所(ITC) 访问学者;

2010.09 至 2011.05 西藏气象局 高原大气环境研究所 副研究员 (科技援藏);

2012.11 至 2013.11 马里兰大学 大气与海洋科学系 高级访问学者;

2014.07 至 2019.04 中国气象科学研究院 大气成分研究所 研究员;

2015.06 至 2015.07 加州理工学院 地质与行星科学系 高级访问学者;

2015.07 至 2015.08 美国航空航天局 喷气推进实验室 高级访问学者;

2017.11 至 2017.12 以色列魏兹曼科学院 地球与行星科学系 高级访问学者;

2018.06 至 2018.07 美国夏威夷大学 气象系 高级访问学者;

2019.05 至今 中国气象科学研究院 灾害天气国家重点实验室 研究员。

学术兼职

中国气象学会大气成分委员会委员,美国气象学会(AMS)会员,地球物理学学会(AGU)会员,IEEE地球科学遥感学会会员,中国地理学会全国遥感与地理信息科学研究生论坛理事会常务理事,Geophysical Research Letters副编辑,Environmental Research Communications 编委,Mathematic Problems in Engineering编委,中国气象学会城市气象委员会委员,曾任第33届中国气象学会年会青年论坛共同主席,中国科协第327次青年科学家论坛“雾霾、天气气候”共同执行主席。

科研项目

[1] 国家中华人民共和国国家自然科学基金委员会杰出青年科学基金项目“大气边界层-对流云降水相互作用”(编号:42325501,400万)主持人(2024.01-2028.12);

[2] 国家自然科学基金委气象联合基金重点支持项目“京津冀地区夏季强对流天气前期信号及适应性观测研究”(编号:U2142209,260万)主持人(2022.01-2025.12);

[3] 国家重点研发计划重点专项“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”(编号:2017YFC1501400,2044万)主持人(2018.01-2021.12);

[4] 国家中华人民共和国国家自然科学基金委员会面上项目“我国不同云的多源立体观测及云辐射效应研究”(编号:41771399,63万) 主持人(2018.01-2021.12);

[5] 国家自然科学基金委联合重大研究计划重点项目“气溶胶与边界层相互作用及其对近地面大气污染浓度的影响研究”(编号:91544217) 第二负责人(2016.01-2019.12);

[6] 国家自然科学基金委面上项目“中国雾霾及其对暖云降水垂直分布影响的立体观测及建模研究”(项目编号:41471301,90万)主持人(2015.01-2018.12);

[7] 公益性科研院所基本科研业务费专项资金资助项目重点项目:“我国气溶胶对云辐射影响” (项目编号:2017Z005,120万)主持人(2017.06-2019.12);

[8] 气候变化专项“IPCC相关前沿科学问题及技术支撑” (项目编号:CCSF201926),主持人(2019.01-2019.12);

[9] 气候变化专项“IPCC相关前沿科学问题及技术支撑”(项目编号:CCSF201732),主持人(2017.01-2017.12);

[10] 国家十二五科技支撑项目“我国雾霾监测不同分辨率数值预报业务系统研究”第一课题“雾-霾观测研究”(编号:2014BAC16B01,398万),主持人 (2014.01-2016.12);

[11] 国际科技合作专项项目《京津冀城市群强降水及雾霾观测试验》(2015DFA2087) 子课题负责人(2015.04-2018.04);

[12] 国家2014年度留学人员科技活动择优资助项目“中国灰霾多源数据的三维立体观测及其与云降水相互作用研究”主持人(2014.01-2014.12,3万);

[13] 中国气象科学研究院科技领军人才培养项目“气溶胶立体观测及其与云降水相互作用研究”主持人(2014.09-2017.08);

[14] 国家中华人民共和国国家自然科学基金委员会面上项目“气溶胶-云滴有效半径关系多源卫星遥感建模及其对降水影响研究”( 项目编号:41171294,60万) 主持人(2012.01-2015.12);

[15] 国家自然科学基金委青年项目“基于多角度遥感数据的陆地下垫面气溶胶遥感定量反演建模研究”(项目编号:40901169,18万)主持人(2010.01-2012.12);

[16] 国家973项目“气溶胶-云-辐射反馈过程及其与亚洲季风相互作用的影响”(项目编号:2011CB403401,30万)专题项目负责人(2011.01-2015.12);

[17] 公益性科研院所基本科研业务费专项资金资助项目“华北地区气溶胶-云滴有效半径相互关系卫星遥感建模研究” 主持人(2011.01-2012.12);

[18] 公益性气象行业科研专项“青藏高原遥感积雪气候数据集及气候效应分析”第三课题负责人(2012.01-2014.12);

[19] 第16届2010年广州亚运会会项目“广州亚运空气质量多源卫星遥感监测及预报系统” (2010.03-2012.12);

[20] 公益性科研院所基本科研业务费专项资金资助项目“基于MODIS的全国气溶胶光学厚度反演系统研究” 主持人(2008.01-2010.12);

[21] 环境减灾卫星(HJ)卫星气溶胶卫星遥感反演应用示范项目,主持人(2007.07-2008.12);

[22] 十一五科技支撑计划课题“沙尘暴地面观测与卫星反演的融合技术研究”,项目骨干(2010.01-2012.12);

[23] 公益性科研院所基本科研业务费专项资金资助项目重点项目:“大气成分数值预报系统及其天气气候效应研究”,项目骨干(2009.01-2011.12);

[24] 公益性科研院所基本科研业务费专项资金资助项目重点项目:“环境气象业务系统研发及其影响分析”,项目骨干(2013.01-2015.12)。

代表性学术著作

1.Guo, J., Zhang, J.*, Yang, K., Liao, H., Zhang, S., Huang, K., Lv, Y., Shao, J., Yu, T., Tong, B., Li, J., Su, T., Yim, S. H. L., Stoffelen, A., Zhai, P., and Xu, X.: Investigation of near-global daytime boundary layer height using high-resolution radiosondes: First results and comparison with ERA-5, MERRA-2, JRA-55, and NCEP-2 reanalyses, Atmos. Chem. Phys. Discuss.,https://doi.org/105194/acp-2021-257, in revise, 2021. (IF=5.414)

2.Guo, J., Liu, B.*, Gong, W., Shi, L., Zhang, Y., Ma, Y., Zhang, J., Chen, T., Bai, K., Stoffelen, A., de Leeuw, G., and Xu, X., 2021. Technical note: First comparison of wind observations from ESA's satellite mission Aeolus and ground-based radar wind profiler network of China. Atmos. Chem. Phys., 21, 2945–2958,https://doi.org/105194/acp-21-2945-2021. (IF=5.414)

3.Lv, Y., J. Guo*, J. Li, L. Cao, T. Chen, D. Wang, D. Chen, Y. Han, X. Guo, H. Xu, L. Liu, R. Solanki and G. Huang, 2021. Spatiotemporal characteristics of atmospheric turbulence over China estimated using operational high-resolution soundings. Environmental Research Letters,https://doi.org/101088/1748-9326/abf461. (IF=6.096)

4.Solanki, R., J. Guo*, et al., 2021. Atmospheric boundary layer height variation over mountainous and urban sites in Beijing as derived from radar wind profiler measurements, Boundary-Layer 气象学, doi:10.1007/s10546-021-00639-9. (IF=3.011)

5.Li, J., J. Guo*, H. Xu*, J. Li, Y. Lv, 2021. Assessing the surface-layer stability over China using long-term wind-tower network observations, Boundary-Layer 气象学, 180(1), 155-171. doi: 10.1007/s10546-021-00620-6. (IF=3.011)

6.Liu, B., Guo, J.*, Gong, W.*, Zhang, Y., Shi, L., Ma, Y., Li, J., Guo, X., Stoffelen, A., de Leeuw, G., and Xu, X.: Intercomparison of wind observations from ESA's satellite mission Aeolus, ERA5 reanalysis and radiosonde over China. Atmos. Chem. Phys. Discuss.https://doi.org/105194/acp-2021-41, in review, 2021. (IF=5.414)

7.Yue, M., Wang, M.*, Guo, J.*, Zhang, H., 越南盾, X., \u0026 Liu, Y. (2021). Long-term Trend Comparison of Planetary Boundary Layer Height in Observations and CMIP6 models over China, Journal of Climate.https://doi.org/101175/JCLI-D-20-1000.1

8.Han, Y., J. Guo*, Y. Yun, J. Li, X. Guo, Y. Lv, D. Wang, L. Li and Y. Zhang, 2021. Regional variability of summertime raindrop size distribution from a network of disdrometers in Beijing. Atmospheric Research, 257: 105591. doi:10.1016/j.atmosres.2021.105591.

9.Xu, H., J. Guo*, J. Li, L. Liu, T. Chen, X. Guo, Y. Lv, D. Wang, Y. Han, Q. Chen, Y. Zhang, 2021. Significant Role of Radiosonde-measured Cloud-base Height in Estimating Cloud Radiative Forcing. Adv. Atmos. Sci.,https://doi.org/101007/s00376-021-0431-5

10.Xu, Z., Chen, H.*, Guo, J.*, and Zhang, W. (2021). Contrasting effect of soil moisture on the daytime boundary layer under different thermodynamic conditions in summer over China. Geophysical Research Letters, 48, e2020GL090989. https://doi. org/10.1029/2020GL090989. (IF = 4.497)

11.Lv, Y., Guo, J.*, Li, J., Han, Y., Xu, H., Guo, X., et al. (2021). Increased turbulence in the Eurasian upper‐level jet stream in winter: past and future. 地球 and Space Science, 8(2), e2020EA001556, doi:10.1029/2020EA001556 (AGU EOS Editor’s highlight)

12.Chen, T., Li, Z.*, Kahn, R. A., Zhao, C.*, Rosenfeld, D., Guo, J., Han, W., and Chen, D.: Potential impact of aerosols on convective clouds revealed by Himawari-8 observations over different Terrain types in eastern China, Atmos. Chem. Phys., 21, 6199–6220,https://doi.org/105194/acp-21-6199-2021, 2021. (IF=5.414)

13.Lee, S. S., Ha, KJ, Manoj, M. G., Kamruzzaman, M., Kim, H., Utsumi, N., and Guo, J.: Mid-latitude mixed-phase stratocumulus clouds and their interactions with aerosols: how ice processes affect microphysical, dynamic and thermodynamic development in those clouds and interactions?, Atmos. Chem. Phys. Discuss.https://doi.org/105194/acp-2020-1318, in review, 2021.

14.Shen, H., G. Shen, Y. Chen, A. G. Russell, Y. Hu, X. Duan, W. Meng, Y. Xu, X. Yun, B. Lyu, S. Zhao, A. Hakami, J. Guo, S. Tao, and K. R. Smith, 2021. Increased air pollution exposure among the Chinese population during the national quarantine in 2020. Nature Human Behaviour.https://doi.org/101038/s41562-020-01018-z. (IF=12.5)

15.Wang, J., J. Ye, Q. Zhang, J. Zhao, Y. Wu, J. Li, D. Liu, W. Li, Y. Zhang, C. Wu, C. Xie, Y. Qin, Y. Lei, X. Huang, J. Guo, P. Liu, P. Fu, Y. Li, H. C. Lee, H. Choi, J. Zhang, H. Liao, M. Chen, Y. Sun, X. Ge, S. T. Martin and D. J. jacob (2021). Aqueous production of secondary organic aerosol from fossil-fuel emissions in winter Beijing haze. Proceedings of the National Academy of Sciences, 118(8): e2022179118. doi:10.1073/pnas.2022179118. (IF=9.56)

16.Feng, Z., Leung, L. R., Liu, N., Wang, J., Houze, R. A., Li, J., Hardin J.C., Chen, D., Guo, J. (2021). A global high‐resolution mesoscale convective system database using satellite‐derived cloud tops, surface precipitation, and tracking. Journal of Geophysical Research: Atmospheres, 126(8), e2020JD034202.https://doi.org/101029/2020JD034202.

17.Guo, J.*, X. Chen, T. Su, L. Liu, Y. Zheng, D. Chen, J. Li, H. Xu, Y. Lv, B. He, Y. Li, X. Hu, A. Ding, and P. Zhai, 2020. The climatology of lower tropospheric 温度 inversions in China from radiosonde measurements: roles of 黑色 , local 气象学, and large-scale subsidence. Journal of Climate, 33 (21): 9327–9350,doi: 10.1175/JCLI-D-19-0278.1 (IF=5.707)

18.Guo, J.*#, Yan, Y.#, Chen, D., Lv, Y., Han, Y., Guo, X., Liu, L., Miao, Y., Chen, T., Nie, J., and Zhai, P. 2020. The response of warm-season precipitation extremes in China to global warming: an observational perspective from radiosonde measurements, Climate 动力学, 54(9), 3977-3989, doi: 10.1007/s00382-020-05216-3 (IF = 4.486)

19.Wang, D., J. Guo*, A. Chen*, L. Bian, M. Ding, L. Liu, Y. Lv, J. Li, X. Guo, and Y. Han, 2020. 温度 inversion and clouds over the Arctic ocean observed by the 5th Chinese national Arctic research expedition, Journal of Geophysical Research: Atmospheres, 125, e2019JD032136.doi: 10.1029/2019JD032136. (IF = 3.821)

20.Liu, B. #, Guo, J. #*, Gong, W., Shi, L., Zhang, Y., and Ma, Y.: Characteristics and 表演 of wind profiles as observed by the radar wind profiler network of China, Atmos. Meas. Tech., 13, 4589–4600. doi:10.5194/amt-13-4589-2020, 2020. (IF = 3.668)

21.Zhang, Y., J. Guo*, Y. Yang, Y. Wang, and S.H.L. Yim, 2020. Vertical wind shear modulates particulate matter pollutions: A perspective from Radar wind profiler observations in Beijing, China. Remote Sensing, 12(3), 546.https://doi.org/103390/rs12030546. (IF = 4.509) (ESI高被引论文)Lv, Y., Guo, J.*, Yim, S., Yun, Y., Yin, J., Liu, L., Zhang, Y., Yang, Y., Yan, Y., Chen, D., 2020. Towards understanding multi-model precipitation predictions from CMIP5 based on China hourly merged precipitation analysis data. Atmospheric Research, 431, 104671. doi:10.1016/j.atmosres.2019.104671. (IF=4.676)

22.Liu, B., Guo, J.*, Gong, W., Shi, Y., Jin, S., 2020. Boundary layer height as estimated from Radar wind profilers in four Cities in China: relative contributions from aerosols and surface features. Remote Sensing, 12, 1657.https://doi.org/103390/rs12101657. (IF = 4.509)

23.Chen, D., Guo, J.*, Yao, D., Feng, Z., and Lin, Y. 2020. Elucidating the Life Cycle of Warm-Season Mesoscale Convective Systems in Eastern China from the Himawari-8 Geostationary Satellite. Remote Sensing, 12, 2307.https://doi.org/103390/rs12142307.

24.Wang, J., J. Li, J. Ye, J. Zhao, Y. Wu, J. Hu, D. Liu, D. Nie, F. Shen, X. Huang, D. Huang, D. Ji, X. Sun, W. Xu, J. Guo, S. Song, Y. Qin, P. Liu, J. Turner, H. C. Lee, S. Hwang, H. Liao, S. Martin, Q. Zhang, M. Chen, Y. Sun, Xi. Ge, and D. jacob, 2020. Fast sulfate formation from oxidation of SO2 by 二氧化氮 and HONO observed in Beijing haze, Nature Communications. 11, 2844.https://doi.org/101038/s41467-020-16683-x (IF = 12.121)

25.Su, T., Li, Z.*, Zheng, Y., Luan, Q., \u0026 Guo, J. (2020). Abnormally shallow boundary layer associated with severe air pollution during the COVID‐19 lockdown in China. Geophysical Research Letters, 47, e2020GL090041.https://doi.org/101029/2020GL090041.(IF = 4.497)

26.Liu, Z., Ming, Y., Zhao, C., Lau, N. C., Guo, J., Bollasina, M., and Yim, S. H. L., 2020. Contribution of local and remote anthropogenic aerosols to a record-breaking torrential rainfall event in Guangdong province, China. Atmos. Chem. Phys., 20, 223–241.https://doi.org/105194/acp-20-223-2020. (IF=5.414)

27.Huang, T., H. L. S. Yim, Y. Yang, O. S. Lee, D. H. Lam, J. C.H. Cheng, and J. Guo, 2020. Observation of turbulent mixing characteristics in the typical daytime cloud-topped boundary layer over Hong Kong in 2019, Remote Sensing, 12(9), 1533,https://doi.org/103390/rs12091533. (IF=4.509)

28.Han, W., Li, Z., Wu, F., Zhang, Y., Guo, J., Su, T., Cribb, M., Chen, T., Wei, J., and Lee, S.-S., 2020. The mechanisms and seasonal differences of the impact of aerosols on daytime surface urban heat island effect.Atmos. Chem. Phys., 20, 6479–6493,https://doi.org/105194/acp-20-6479-2020. (IF=5.414)

29.Su, T., Li, Z., Li, C., Li, J., Han, W., Shen, C., Tan, W., Wei, J., and Guo, J., 2020. The significant impact of aerosol vertical structure on lower atmosphere stability and its critical role in aerosol–planetary boundary layer (PBL) interactions. Atmos. Chem. Phys., 20, 3713–3724.https://doi.org/105194/acp-20-3713-2020. (IF=5.414)

30.Yang, Y., Chen, M., Zhao, X., Chen, D., Fan, S., Guo, J., and Ali, S. 2020. Impacts of aerosol–radiation interaction on meteorological forecasts over northern China by offline coupling of the WRF-Chem-simulated aerosol optical depth into WRF: a case study during a heavy pollution event, Atmos. Chem. Phys., 20, 12527–12547,https://doi.org/105194/acp-20-12527-2020. (IF=5.414)

31.Wang, H., Li, Z.*, Lv, Y., Zhang, Y., Xu, H., Guo, J., and Goloub, P. 2020. Determination and climatology of the diurnal cycle of the atmospheric mixing layer height over Beijing 2013–2018: lidar measurements and implications for air pollution. Atmos. Chem. Phys., 20, 8839–8854,https://doi.org/105194/acp-20-8839-2020.

32.Guo, J.#*, T. Su#*, D. Chen, J. Wang*, Z. Li, Y. Lv, X. Guo, H. Liu, M. Cribb, P. Zhai, 2019. Declining summertime local-scale precipitation frequency over China and the United States, 1981–2012: The disparate roles of aerosols. Geophysical Research Letters, 46(22), 13281-13289. doi: 10.1029/2019GL085442. (IF = 4.497)

33.Guo, J., Y. Li, J. Cohen, J. Li, D. Chen, H. Xu, L. Liu, J. Yin, K. Hu, P. Zhai, 2019. Shift in the temporal trend of boundary layer height trend in China using long-term (1979–2016) radiosonde data. Geophysical Research Letters, 46 (11): 6080-6089, doi: 10.1029/2019GL082666. (IF = 4.497) (ESI热点/高被引论文;2018-2019年度Top Downloaded Paper奖)

34.Guo, J., H. Xu*, L. Liu*, D. Chen, Y. Peng, S. Yim, Y. Yang, J. Li, C. Zhao, and P. Zhai, 2019. The trend reversal of dust aerosol over East Asia and the North Pacific Ocean attributed to large-scale 气象学, deposition and soil moisture. J. Geophys. Res. Atmos. 124,10450-10466. doi: 10.1029/2019JD030654. (IF = 3.821)

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