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郭建平

（國家傑青，中國氣象科學研究院二級研究員）

鎖定
郭建平，中國氣象科學研究院二級研究員、博士生導師，國家傑出青年基金獲得者。先後入選國家“萬人計劃”青年拔尖人才計劃，新時代高層次氣象科技創新領軍人才計劃氣象領軍人才，被中國氣象局授予“國家級首席科學家”稱號，2020年以來連續入選“愛思唯爾中國高被引學者（大氣科學）”榜單，2021年以來連續入選美國斯坦福大學發佈的全球前2%頂尖科學家榜單。科技部重點研發計劃“重大自然災害監測預警與防範”重點專項首批項目負責人，國家自然科學基金委首批氣象聯合基金負責人，Geophysical Research Letters副主編（Associate Editor），Environmental Research Communications 編委，《氣象科學》常務編委，《高原氣象》常務青年編委，《乾旱氣象》編委，中國科協第327次青年科學家論壇“霧霾、天氣氣候”共同執行主席。主要從事邊界層氣象，湍流-對流相互作用，對流觸發機制，以及氣溶膠-雲降水相互作用研究。發表SCI收錄論文200餘篇，Web of Science引用9100餘次，H指數52，Google Scholar總引1萬餘次，H指數57。21篇論文入選ESI全球TOP 1%高被引論文（其中5篇入選ESI全球TOP 0.1%熱點論文）。獲“中國科學院院長獎學金優秀獎”，“美國地球物理學會JGR-Atmos. 2016年度優秀審稿人”，三次獲“華風優秀研究生導師獎”，榮獲省部級科技進步二等獎兩次，相關成果應用於全國大氣邊界層立體監測業務、支撐重大活動氣象服務保障。 [1] 
中文名
郭建平
外文名
Jianping Guo
國    籍
中國
民    族
漢
出生地
江西
出生日期
1978年11月
畢業院校
中國科學院遙感應用研究所
主要成就
國家傑出青年基金獲得者

目錄

  1. 1 簡介
  2. 2 職稱
  3. 3 主要學術經歷
  1. 4 主要學術兼職
  2. 5 主持與參與科研項目
  1. 6 代表性學術著作

郭建平簡介

郭建平，男，中國氣象科學研究院二級研究員、博士生導師，國家傑出青年基金獲得者。先後入選國家“萬人計劃”青年拔尖人才計劃，新時代高層次氣象科技創新領軍人才計劃氣象領軍人才，被中國氣象局授予“國家級首席科學家”稱號，2020年以來連續入選“愛思唯爾中國高被引學者（大氣科學）”榜單，2021年以來連續入選美國斯坦福大學發佈的全球前2%頂尖科學家榜單。科技部重點研發計劃“重大自然災害監測預警與防範”重點專項首批項目負責人，國家自然科學基金委首批氣象聯合基金負責人，Geophysical Research Letters副主編（Associate Editor）。主要從事邊界層氣象，湍流-對流相互作用，以及氣溶膠-雲降水相互作用研究，瞄準現代氣象觀測業務體系的國家戰略需求，聚焦邊界層和雲降水組網觀測及局地熱對流降水變化機制，取得了一系列創新性成果。發表SCI收錄論文200餘篇，Web of Science引用9100餘次，H指數52，Google Scholar總引1萬餘次，H指數57。21篇論文入選ESI全球TOP 1%高被引論文（其中5篇入選ESI全球TOP 0.1%熱點論文）。先後獲“中國科學院院長優秀獎”，“美國地球物理學會JGR-Atmos. 2016年度優秀審稿人”，“2016年度華風優秀研究生導師獎”，“2021年度華風優秀研究生導師獎”，“2022年度華風優秀研究生導師獎”，“NSR期刊2018年度優秀論文獎”，“AAS期刊2020年度優秀原創論文獎”， “Geophysical Research Letters期刊2018-2019年度Top Downloaded Paper獎”，三次獲“華風優秀研究生導師獎”，榮獲省部級科技進步二等獎兩次。

郭建平職稱

理學博士，中國氣象科學研究院 二級研究員，博士生導師

郭建平主要學術經歷

2019.05 至今 中國氣象科學研究院 災害天氣國家重點實驗室 研究員
2014.07 至 2019.04 中國氣象科學研究院 大氣成分研究所 研究員
2018.06 至 2018.07 美國夏威夷大學 氣象系 高級訪問學者
2017.11 至 2017.12 以色列魏茲曼科學院 地球與行星科學系 高級訪問學者
2015.07 至 2015.08 美國宇航局 噴氣推進實驗室 高級訪問學者
2015.06 至 2015.07 美國加州理工學院 地質與行星科學系 高級訪問學者
2012.11 至 2013.11 美國馬里蘭大學 大氣與海洋科學系 高級訪問學者
2010.09 至 2011.05 西藏氣象局 高原大氣環境研究所 副研究員 （科技援藏）
2010.01 至 2010.07 荷蘭屯特大學 國際攝影測量與遙感研究所（ITC） 訪問學者
2009.07 至 2014.06 中國氣象科學研究院 大氣成分觀測與服務中心 副研究員
2007.07 至 2009.09 中國氣象科學研究院 大氣成分觀測與服務中心 助理研究員

郭建平主要學術兼職

Geophysical Research Letters副編輯， 中國氣象學會城市氣象委員會委員，美國氣象學會（AMS）會員，地球物理學會(AGU)會員，IEEE地球科學與遙感學會會員，中國地理學會全國遙感與地理信息科學研究生論壇理事會常務理事。

郭建平主持與參與科研項目

[1] 國家自然科學基金委傑出青年科學基金項目“大氣邊界層-對流雲降水相互作用”（編號：42325501，400萬）主持人（2024.01-2028.12）
[2] 國家自然科學基金委氣象聯合基金重點支持項目“京津冀地區夏季強對流天氣前期信號及適應性觀測研究”（編號：U2142209，260萬）主持人（2022.01-2025.12）
[3] 國家重點研發計劃重點專項“氣溶膠對流雲降水相互作用機理研究及京津冀區域模式應用示範”（編號：2017YFC1501400，2044萬）主持人（2018.01-2021.12）
[4] 國家自然科學基金委面上項目“我國不同雲的多源立體觀測及雲輻射效應研究”(編號：41771399,63萬) 主持人（2018.01-2021.12）
[5] 國家自然科學基金委聯合重大研究計劃重點項目“氣溶膠與邊界層相互作用及其對近地面大氣污染濃度的影響研究”（編號：91544217） 第二負責人（2016.01-2019.12）
[6] 國家自然科學基金委面上項目“中國霧-霾及其對暖雲降水垂直分佈影響的立體觀測及建模研究”(項目編號：41471301，90萬)主持人（2015.01-2018.12）
[7] 中央級公益性科研院所基本科研業務費專項資金資助項目重點項目：“我國氣溶膠對雲輻射影響” (項目編號：2017Z005，120萬)主持人（2017.06-2019.12）
[8] 中國氣象局氣候變化專項“IPCC相關前沿科學問題及技術支撐” （項目編號：CCSF201926），主持人（2019.01-2019.12）
[9] 中國氣象局氣候變化專項“IPCC相關前沿科學問題及技術支撐”（項目編號：CCSF201732），主持人（2017.01-2017.12）
[10] 國家十二五科技支撐項目“我國霧-霾監測不同分辨率數值預報業務系統研究”第一課題“霧－霾觀測研究”(編號：2014BAC16B01，398萬),主持人 (2014.01－2016.12)
[11] 科技部國際科技合作專項項目《京津冀城市羣強降水及霧霾觀測試驗》（2015DFA2087） 子課題負責人（2015.04-2018.04）
[12] 國家人社部2014年度留學人員科技活動擇優資助項目“中國灰霾多源數據的三維立體觀測及其與雲降水相互作用研究”主持人（2014.01-2014.12，3萬）
[13] 中國氣象科學研究院科技領軍人才培養項目“氣溶膠立體觀測及其與雲降水相互作用研究”主持人（2014.09-2017.08）
[14] 國家自然科學基金委面上項目“氣溶膠-雲滴有效半徑關係多源衞星遙感建模及其對降水影響研究”( 項目編號：41171294，60萬) 主持人(2012.01-2015.12)
[15] 國家自然科學基金委青年項目“基於多角度遙感數據的陸地下墊面氣溶膠遙感定量反演建模研究”（項目編號：40901169,18萬）主持人（2010.01-2012.12）
[16] 國家科技部973項目“氣溶膠-雲-輻射反饋過程及其與亞洲季風相互作用的影響”（項目編號：2011CB403401，30萬）專題項目負責人（2011.01-2015.12）
[17] 中央級公益性科研院所基本科研業務費專項資金資助項目“華北地區氣溶膠-雲滴有效半徑相互關係衞星遙感建模研究” 主持人（2011.01-2012.12）
[18] 公益性氣象行業科研專項“青藏高原遙感積雪氣候數據集及氣候效應分析”第三課題負責人(2012.01-2014.12)
[19] 第16屆廣州亞運會項目“廣州亞運空氣質量多源衞星遙感監測及預報系統” （2010.03－2012.12）
[20] 中央級公益性科研院所基本科研業務費專項資金資助項目“基於MODIS的全國氣溶膠光學厚度反演系統研究” 主持人（2008.01－2010.12）
[21] 環境減災衞星（HJ）衞星氣溶膠衞星遙感反演應用示範項目，主持人（2007.07－2008.12）
[22] 十一五科技支撐計劃課題“沙塵暴地面觀測與衞星反演的融合技術研究”，項目骨幹（2010.01－2012.12）
[23] 中央級公益性科研院所基本科研業務費專項資金資助項目重點項目：“大氣成分數值預報系統及其天氣氣候效應研究”，項目骨幹（2009.01－2011.12）
[24] 中央級公益性科研院所基本科研業務費專項資金資助項目重點項目：“環境氣象業務系統研發及其影響分析”，項目骨幹（2013.01－2015.12）

郭建平代表性學術著作

  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/10.5194/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/10.5194/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/10.1088/1748-9326/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 Meteorology, 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 Meteorology, 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/10.5194/acp-2021-41, in review, 2021. (IF=5.414)
  7. Yue, M., Wang, M.*, Guo, J.*, Zhang, H., Dong, X., & 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/10.1175/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/10.1007/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. Earth 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/10.5194/acp-21-6199-2021, 2021. (IF=5.414)
  13. Lee, S. S., Ha, K.-J., 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/10.5194/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/10.1038/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/10.1029/2020JD034202.
  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 temperature inversions in China from radiosonde measurements: roles of black carbon, local meteorology, 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 Dynamics, 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. Temperature 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 performance 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/10.3390/rs12030546. (IF = 4.509) (ESI高被引論文)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/10.3390/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/10.3390/rs12142307.
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