景晓琴
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  • 所在单位:大气物理学院
  • 学历:博士研究生毕业
  • 办公地点:气象楼1003
  • 性别:
  • 联系方式:xiaoqin.jing@nuist.edu.cn
  • 学位:哲学博士学位
  • 毕业院校:美国怀俄明大学
  • 个人简介
  • 研究方向
  • 社会兼职
  • 教育经历
  • 工作经历
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  • 其他联系方式

景晓琴,博士,副教授,硕士研究生导师。主要研究方向为云降水物理、人工影响天气、地形云及其降水过程、区域气候模拟。主持和参与国家自然科学基金、国家重点研发计划、江苏省自然科学基金、南京市留学人员科技创新项目等多项国内以及国际科研项目。在Geophysical Research Letters, Journal of Climate, Journal of Hydrometeorology, Journal of Applied Meteorology and Climatology等期刊上发表论文30多篇,担任Journal of Geophysical Research-Atmospheres、Atmospheric and Oceanic Science Letters、Advances in Atmospheric Sciences、Journal of Applied Meteorology and Climatology等专业期刊审稿人,以及美国国家科学基金项目评审专家。


研究领域

云物理与降水系统、人工影响天气、区域气候模拟、地形降水

 

教学课程

云降水物理学、人工影响天气、Skills for Environmental Science、Advances in Atmospheric Physics

 

科研项目

2025.01—2028.12国家自然科学基金面上项目,项目负责人。

2023.11—2026.10国家重点研发计划重点专项子课题负责人

2021.01—2023.12国家自然科学基金青年基金项目项目负责人

2021.012024.12,国家自然科学基金面上项目,参与。

2019.07—2022.06,江苏省基础研究计划(自然科学基金)青年基金项目,项目负责人。

2019.01—2022.06,横向科研项目,雷电监测预警技术服务,项目负责人。

2019.10—2020.09,南京市留学人员科技创新项目,项目负责人。

2019.07—2020.11,航天系统装备预先研究项目,参与。

2019.09—2021.09,中国气象科学研究院横向课题:西北区域人工影响天气能力建设项目-试验示范基地地形云数值模拟软件,参与。

2019.01—2021.12,中国气象科学研究院横向课题:西北区域人工影响天气工程天山试验区地形云人工增雨(雪)技术研究与应用,参与。

2018.01—2020.12,国际合作项目:Using Advanced Experimental - Numerical Approaches To Untangle Rain Enhancement (UAE-NATURE),参与。

2018.10—2021.09,南京信息工程大学人才启动项目,项目负责人。

 

主要论著

a.              期刊论文

1.      Wang, Y., Geerts, B.; Liu, C., Jing, X., A Convection-Permitting Regional Climate Simulation of Changes in Precipitation and Snowpack in a Warmer Climate over the Interior Western United States. Climate, 2025, 13, 46. https://doi.org/10.3390/cli13030046.

2.      Yang, J., Li, J., Chen, M., Jing, X.*, Yin, Y., Geerts, B., Wang, Z., Liu, Y., Liu, Y., Chen, B., Hua, S., Hu, H., Dong, X., Tian, P., Chen, Q., Gao, Y., Estimating the concentration of silver iodide needed to detect unambiguous signatures of glaciogenic cloud seeding. Atmos. Chem. Phys., 2024, 24, 13833–13848, https://doi.org/10.5194/acp-24-13833-2024.

3.      Huang, S., X. Jing*, J. Yang, Q. Zhang, F. Guo, Z. Wang, and B. Chen, Modeling the impact of secondary ice production on the charge structure of a mesoscale convective system. J. Geophys. Res. Atmos., 2024, 129, e2023JD039303. https://doi.org/10.1029/ 2023JD039303.

4.      Yang, J., Qin, Z., Deng, Y., Chen, M., Jing, X., Yin, Y., Lu, C., Chen, B., Zhang, B., and Bao, X., On the cluster scales of hydrometeors in mixed-phase stratiform clouds. Geophys. Res. Lett., 2024, 51, e2024GL108166. https://doi. org/10.1029/2024GL108166.

5.      Liu, Y., Yang, J., Zhao, G., Lu, C., Yin, Y., Jing, X., and Wang, Y., On the scale of particle clustering induced by inhomogeneous entrainment-mixing in mixed-phase cumulus clouds. Geophys. Res. Lett., 2024, 51, e2023GL107645. https://doi.org/10.1029/2023GL107645.

6.      Deng, Y., Yang, J., Yin, Y., Cui, S., Zhang, B., Bao, X., Gao, W., Chen, B., Li, J., Gao, W., and Jing, X., Quantifying the spatial inhomogeneity of ice concentration in mixed-phase stratiform cloud using airborne observation. Atmos. Res., 2024, 298, 107153, https://doi.org/10.1016/j.atmosres.2023.107153.

7.      Zhao. G, Yang, J., Zhu, L., Xie, Z., Lu, C., Yin, Y., Jing, X., Li, J., and Wang, Y., Liquid-ice mass partitioning across the edge of mixed-phase cumulus cloud, Geophys. Res. Lett., 2023, 50, e2023GL106378. https://doi. org/10.1029/2023GL106378.

8.      Wu, Z., Y. Ke, A. Liu, H. Wang, Y. Yin, Z. Zhen, Y. Li, B. Li, K. Chen, J. Yang, X. Jing, J. Yang, Q. Chen, L. Shen, S. Liu, Observations of atmospheric new particle formation impacts on cloud condensation nuclei in summer at Mt.Tian, Atmospheric Environment, 311, 2023, 120002, https://doi.org/10.1016/j.atmosenv.2023.120002.

9.      刘恩弘,杨璟,银燕,景晓琴杨军,李斌,杨玲,佘勇,袁亮,林彦君,姜冬昕,基于多雷达观测和数值模拟的中天山北坡夏季降水过程研究,大气科学,202347(6)1807-1826https://doi.org/10.3878/j.issn.1006-9895.2204.21196

10.   Qin, Z., J. Yang, T. Yang, X. Jing, C. Lu, Y. Wang, Y. Yin, Q. Zhang and B. Chen, 2023: Vertical transport of water in isolated convective clouds in the interior western United Stated as observed using airborne in-situ measurements. Atmospheric Research, 285, 106629, https://doi.org/10.1016/j.atmosres.2023.106629.

11.   Hu, Y., P. Tian, M. Huang, K. Bi, J. Schneider, N. Silas Umo, N. Ullmerich, K. Höhler, X. Jing, H. Xue, D. Ding, Y. Liu, T. Leisner, O. Möhler, 2023: Characteristics of ice-nucleating particles in Beijing during Spring: a comparison study of measurements between the suburban and a nearby mountain area. Atmospheric Environment, 293, 119451, https://doi.org/10.1016/j.atmosenv.2022.119451.

12.   Jing, X., J. Yang, T. Li, J. Hu, C. He, Y. Yin, Z. Wang, P. J. DeMott, K. Chen, H. Jiang, 2022: Pre-activation of ice nucleating particles in deposition nucleation mode: evidence from measurement using a static vacuum water vapor diffusion chamber in Xinjiang, China. Geophys. Res. Lett., 49, e2022GL099468, doi: 10.1029/2022GL099468.

13.   Yang, J., E. Liu, Y. Liu, Y. Lin, Y. Yin, and X. Jing, 2022: Impact of Vertical Wind Shear on Summer Orographic Clouds over Tian Shan Mountains: A Case Study Based on Radar Observation and Numerical Simulation, Remote Sensing. 14, 1583. https://doi.org/10.3390/rs14071583.

14.   姜冬昕,景晓琴*,银燕,杨璟,杨军,李斌,2022:影响伊犁河谷地区冬季降水的主要气象要素及其与降水率的统计关系,气象科学,42(5)676-689doi10.12306/2022jms.0023

15.   范雯露,景晓琴*,杨璟,周思雨,2022: 基于飞机观测的美国落基山地区冬季混合相态层状云与夏季对流云的微物理特征,大气科学46(5)1113-1131doi:10.3878/j.issn.1006-9895.2107.21046

16.   刘恩弘,杨璟,银燕,李斌,李圆圆,景晓琴,陈魁,王红磊,杨军,陈倩,2021: 中天山试验区人工增雨(雪)实验:方案设计与初步结果,气象科技进展,11(5)162-169

17.   Sun, H., J. Yang, Q. Zhang, L. Song, H. Gao, X. Jing, G. Lin, K. Yang, 2021: Effects of Day/Night Factor on the Detection Performance of FY4A Lightning Mapping Imager in Hainan, China. Remote Sensing, 13(11), 2200, doi: 10.3390/rs13112200.

18.   Taraphdar, S., O. M. Pauluis, L. Xue, C. Liu, R. Rasmussen, R. S. Ajayamohan, S. Tessendorf, X. Jing, S. Chen, W. W Grabowski, 2021: WRF Gray-Zone Simulations of Precipitation Over the Middle-East and the UAE: Impacts of Physical Parameterizations and Resolution. J. Geophys. Res. Atmos., 126, e2021JD034648, doi: 10.1029/2021JD034648.

19.   李斌,陈魁,杨璟,王红岩,银燕,郑博华,王存亮,任岗,景晓琴2021: 基于人工影响天气技术的石河子冬季城市空气质量改善试验效果统计分析,环境科学学报,41(11)4396-4405

20.   刘玉宝,丁秋冀,史月琴方春刚段婧楼小凤李萍霍朝阳周永波王昊亮景晓琴王新陈添宇陈宝君李集明云解析人工影响天气数值模式的改进、初步试验和展望气象科技进展202111(5)77-85

21.   Jing, X., L. Xue, Y. Yin, J. Yang, D. F. Steinhoff, A. Monaghan, D. Yates, C. Liu, R. Rasmussen, S. Taraphdar, and O. Pauluis, 2020: Convection Permitting Regional Climate Simulations in the Arabian Gulf Region Using WRF Driven by Bias-Corrected GCM data. Journal of Climate, 33(18), 7787-7815, doi: 10.1175/JCLI-D-20-0155.1.

22.   Jing, X., B. Geerts, Y. Wang, and C. Liu, 2019: Ambient Factors Controlling the Wintertime Precipitation Distribution across Mountain Ranges in the Interior Western United States. Part II: Changes in Orographic Precipitation Distribution in a Pseudo-global Warming Simulation. J. Appl. Meteor. Climatol., 58, 695-715, doi: 10.1175/JAMC-D-18-0173.1.

23.   Lin, G., Z. Wang, B. Geerts, C. Grasmick, X. Jing, and J. Yang, 2019: Interactions Between a Nocturnal MCS and the Stable Boundary Layer, as Observed by an Airborne Compact Raman Lidar During PECAN. Monthly Weather Review, 147, 3169-3189, doi: 10.1175/MWR-D-18-0388.1.

24.   Jing, X., B. Geerts, Y. Wang, and C. Liu, 2018: Ambient Factors Controlling the Wintertime Precipitation Distribution across Mountain Ranges in the Interior Western United States. Part I: Insights from Regional Climate Simulations. J. Appl. Meteor. Climatol., 57, 1931-1954, doi: 10.1175/JAMC-D-17-0291.1.

25.   Pokharel, B., B. Geerts, and X. Jing, 2018: The Impact of Ground-based Glaciogenic Seeding on a Shallow Stratiform Cloud over the Sierra Madre in Wyoming: a Multi-sensor Study of the 3 March 2012 Case. Atmos. Res., 214, 74-90, doi: 10.1016/j.atmosres.2018.07.013.

26.   Jing, X., B. Geerts, Y. Wang, and C. Liu, 2017: Evaluating Seasonal Orographic Precipitation in the Interior Western United States using Gauge Data, Gridded Precipitation Estimates, and a Regional Climate Simulation. J. Hydrometeorology, 18, 2541-2558, doi: 10.1175/JHM-D-17-0056.1.

27.   Pokharel, B., B. Geerts, X. Jing, K. Friedrich, K. Ikeda, and R. Rasmussen, 2017: A Multi-sensor Study of the Impact of Ground-based Glaciogenic Seeding on Clouds and Precipitation over Mountains in Wyoming. Part II: Seeding Impact Analysis. Atmos. Res., 183, 42-57, doi:10.1016/j.atmosres.2016.08.018.

28.   Jing, X., B. Geerts, and B. Boe, 2016: The Extra-Area Effect of Orographic Cloud Seeding: Observational Evidence of Precipitation Enhancement Downwind of the Target Mountain. J. Appl. Meteor. Climatol., 55, 1409-1424, doi: 10.1175/JAMC-D-15-0188.1.

29.   Welsh, D., B. Geerts, X. Jing, P. Bergmaier, J. Minder, J. Steenburgh, and L. Campbell, 2016: Understanding Heavy Lake-effect Snowfall: the Vertical Structure of Radar Reflectivity in a Deep Snowband over and downwind of Lake Ontario. Monthly Weather Review, 144, 4221-4244, doi: 10.1175/MWR-D-16-0057.1.

30.   Jing, X. and B. Geerts, 2015: Dual-Polarization Radar Data Analysis of the Impact of Ground-Based Glaciogenic Seeding on Winter Orographic Clouds. Part II: Convective Clouds. J. Appl. Meteor. Climatol., 54, 2099-2117, doi: 10.1175/JAMC-D-15-0056.1.

31.   Jing, X., B. Geerts, K. Friedrich, and B. Pokharel, 2015: Dual-Polarization Radar Data Analysis of the Impact of Ground-Based Glaciogenic Seeding on Winter Orographic Clouds. Part I: Mostly Stratiform Clouds. J. Appl. Meteor. Climatol., 54, 1944-1969, doi: 10.1175/JAMC-D-14-0257.1.

32.   Pokharel, B., B. Geerts, and X. Jing, 2015: The Impact of Ground-based Glaciogenic Seeding on Clouds and Precipitation over Mountains: a Case Study of a Shallow Orographic Cloud with Large Supercooled Droplets. J. Geophys. Res. Atmos., 120, 6056-6079, doi: 10.1002/2014JD022693.

33.   Pokharel, B., B. Geerts, X. Jing, K. Friedrich, J. Aikins, D. Breed, R. Rasmussen, and A. Huggins, 2014: The Impact of Ground-based Glaciogenic Seeding on Clouds and Precipitation over Mountains: a Multi-sensor Case Study of Shallow Precipitating Orographic Cumuli. Atmos. Res., 147, 162-182, doi: 10.1016/j.atmosres.2014.05.014.

34.   Pokharel, B., B. Geerts, and X. Jing, 2014: The Impact of Ground-based Glaciogenic Seeding on Orographic Clouds and Precipitation: a Multi-sensor Case Study. J. Appl. Meteor. Climatol., 53, 890-909, doi: 10.1175/JAMC-D-13-0290.1.

35.   Zhang, Q., X. Jing, J. Yang, D. Li, and X. Tang, 2012: Numerical Simulation of the Lightning Electromagnetic Fields along a Rough and Ocean-land Mixed Propagation Path. J. Geophys. Res. Atmos., 117, D20304, doi: 10.1029/2012JD017851.

36.   Zhang, Q., J. Yang, X. Jing, D. Li, and Z. Wang, 2012: Propagation Effect of a Fractal Rough Ground Boundary on the Lightning-radiated Vertical Electric Field. Atmos. Res., 104-105, 202–208, doi: 10.1016/j.atmosres.2011.10.009.

 

b.              专利

1.      韩思蒙,景晓琴*,李玥婕,章雨桐,刘悦萱,闫栀琦,杨璟,一种人工影响天气的作业效果评估方法,发明专利:ZL202110337598.3。

2.      吴欣联、杨璟、景晓琴、祁韵嘉,一种基于逐层迭代方式的人工增雨雪效果评估方法,授权日期:2025.2.25,发明专利:202411768012.9。

3.      韩卓蒙、景晓琴*、胡方融、秦陆阳、杨璟、银燕、刘玉宝,一种用于雷达观测的人工增雨雪所需碘化银浓度估算方法,授权日期:2025.2.7,发明专利:20241134050.7。

4.      李涛,杨璟,胡景瀚,景晓琴,一种预活化冰核制备方法,授权日期:2025.1.3,发明专利:202210853364.9。


c.              会议论文

1.              Geerts, B., X. Jing, Y. Wang, and C. Liu, 2017: Cross-validation of Gridded Precipitation Datasets and a Regional Climate Simulation for the Interior Western United States. 85th Annual Western Snow Conference, 17-20 April 2017, Boise, ID.

2.              王咏薇,景晓琴,刘寿东,王成刚,2011:南京复杂下垫面条件下的城市三维热环境模拟,第28届中国气象年会——S7 城市气象精细预报与服务。

 

d.              会议报告

1.              景晓琴2020:怀俄明人工影响天气效果检验,第五届“气溶胶--辐射相互作用及其气候效应”学术研讨会,2020.10.16-2020.10.18,江苏南京。

2.              景晓琴2020:美国怀俄明与天山增雨(雪),第二届人工影响天气观测技术发展大会,2020.09.16-2020.09.18,河北石家庄。

3.              Jing, X., L. Xue, Y. Yin, D. Yates, D. Steinhoff, A. Monagha, and J. Yang, 2019: Convection permitting regional climate simulations over the Arabian Gulf Region. The International Conference on Regional Climate CORDEX, 14-18 October, 2019, Beijing, China.

4.              Xue, L., X. Jing, 2019: Using Advanced Experimental - Numerical Approaches To Untangle Rain Enhancement. The General Assembly 2019 of the European Geosciences Union, 7–12 April 2019, Vienna, Austria.

5.              Wang, Y., B. Geerts, X. Jing, 2019: Changes in Extreme Orographic Precipitation in the Interior Western United States By ~2050: Insights from a 30-Year Convection-Permitting Simulation. 99th AMS Annual Meeting, 6–10 January 2019, Phoenix, AZ.

6.              Jing, X., B. Geerts, Y. Wang, and C. Liu, 2016: Regional Climate Simulations of Orographic Precipitation in Interior Western USA: Warm-Season vs. Cold-Season Precipitation. GEWEX Convection-Permitting Climate Modeling Conference, 6–8 September 2016, Boulder, CO.

7.              Jing, X., B. Geerts, and Y. Wang, 2016: What Controls Wintertime Precipitation Distribution across a Mountain Range? Insights from Regional Climate Simulations in the Interior Western US. AMS’s 17th Conference on Mountain Meteorology, 27 June – 1 July 2016, Burlington, VT.

8.              Jing, X., B. Geerts, Y. Wang, and C. Liu, 2016: Regional Climate Simulation of Precipitation in Interior Western US: Comparisons with Gauge and High-Resolution Datasets. UCOWR/NIWR Conference, 21–23 June 2016, Pensacola, FL.

9.              Jing, X., B. Geerts, and B. A. Boe, 2015: The Extra-Area Effect of Orographic Cloud Seeding: Observational Evidence of Precipitation Enhancement Downwind the Target Mountain. Weather Modification Association Annual Meeting, 22–24 April 2015, Fargo, ND.

10.           Jing, X., B. Geerts, B. Pokharel, and K. Friedrich, 2015: Dual-Polarization DOW Radar Data Analysis of the Impact of Ground-Based Glaciogenic Seeding on Winter Orographic Clouds. AMS’s 20th Conference on Planned and Inadvertent Weather Modification, 4–8 January 2015, Phoenix, AZ.

11.           Steenburgh, W. J., L. Campbell, J. R. Minder, T. Letcher, P. G. Veals, D. Welsh, B. Geerts, P. T. Bergmaier, and X. Jing, 2016: The Enhancement of Lake-Effect Precipitation over the Tug Hill Plateau during the Ontario Winter Lake-effect Systems (OWLeS) Field Program. AMS’s 17th Conference on Mountain Meteorology, 27 June – 1 July 2016, Burlington, VT.

12.           Wang, Y., B. Geerts, and X. Jing, 2018: Changes in extreme orographic precipitation in the Interior Western USA by ~2050: insights from a 30-year convection permitting simulation. 99th AMS Annual Meeting¾32nd Conference on Climate Variability and Change, 6-10 January, 2019, Phoenix, AZ.

13.           Geerts, B., Y. Wang, and X. Jing, 2017: Assessment of Gridded Precipitation Estimates in the Interior Western United States using a Regional Climate Simulation. 85th Annual Western Snow Conference, 17-20 April 2017, Boise, ID.

14.           Welsh, D., B. Geerts, J. Minder, J. Steenburgh, P. Bergmaier, X. Jing, and L. Campbell, 2015: Understanding Heavy Lake-effect Snowfall: the Vertical Structure of Radar Reflectivity in a Deep Snowband over and downwind of Lake Ontario. 96th AMS Annual Meeting, 10–14 January 2015, New Orleans, LA.

15.           Geerts, B., B. Pokharel, X. Jing, X. Chu, R. M. Rasmussen, D. Breed, and K. Friedrich, 2015: The AgI Seeding Cloud Impact Investigation (ASCII) Campaign: Key Findings and Lessons Learned. AMS’s 20th Conference on Planned and Inadvertent Weather Modification, Sunday, 4–8 January 2015, Phoenix, AZ.

16.           Pokharel, B., B. Geerts, and X. Jing, 2015: The Impact of Ground-based Glaciogenic Seeding on Orographic Clouds and Precipitation over a Mountain: A Detailed Case Study. AMS’s 20th Conference on Planned and Inadvertent Weather Modification, 4–8 January 2015, Phoenix, AZ.

17.           Geerts, B., B. Pokharel, X. Jing, X. Chu, Y. Yang, K. Friedrich, D. Breed, R. Rasmussen, and L. Xue, 2014: Summary of the Results of the 2012-2013 ASCII Field Campaign. Weather Modification Association Annual Meeting, 23-25 April 2014, Reno, NV.

 

学术活动

a.              学术报告

1.              基于地面播撒碘化银的冬季人工增雪效果检验。2020.11.11,南京信息工程大学,中国南京。

2.              美国中西部区域气候模拟研究。2019.7.16,中国科学院大气物理研究所,中国北京。

3.              美国怀俄明地区人工增雪项目:实验设计与结果分析。2018.10.19南京信息工程大学,中国南京

4.              美国怀俄明地区人工增雪项目:实验设计与结果分析。2018.10.10,宁夏自治区气象局,中国银川。

5.              Regional Climate Study of Precipitation in the Interior Western United States. 25 August 2016, University of Wyoming, Laramie, Wyoming, USA.

6.              Regional Climate Study of Precipitation in the Interior Western United States. 18 July 2018, University of Wyoming, Laramie, Wyoming, USA.

7.              Dual-Polarization DOW Radar Data Analysis of the Impact of Ground-Based Glaciogenic Seeding on Winter Orographic Clouds. 04 August 2014, University of Wyoming, Laramie, Wyoming, USA.

 

b.              参与组织

中国气象学会

 

c.              期刊与项目评审

美国国家科学基金(NSF

Journal of Geophysical Research-Atmospheres

Atmospheric and Oceanic Science Letters

Advances in Atmospheric Sciences

Journal of Applied Meteorology and Climatology

Journal of Meteorological Research

 

获奖情况

        南京信息工程大学优秀班主任,2020

        Wyoming Engineering Initiative Doctoral Fellowship, 2014-2018

        Summer PhD Augmentation Scholarship, University of Wyoming, 2017

        UCOWR/NIWR Conference Scholarship, 2016

        Summer Graduate Scholarship, University of Wyoming, 2014

        南京信息工程大学优秀毕业生,2011

        南京信息工程大学毕业论文一等奖,2011

        南京信息工程大学校长奖学金,2011