杨璟

硕士生导师

性别:男

毕业院校:美国怀俄明大学

学历:博士研究生毕业

学位:哲学博士学位

所在单位:大气物理学院

办公地点:气象楼1001

联系方式:jing.yang@nuist.edu.cn

   

个人简介

杨璟,博士,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、云降水的飞机观测和数值模拟、雷电物理、雷电监测预警。主持和参与国家自然基金、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科研项目,在Atmospheric Chemistry and Physics, Journal of the Atmospheric Sciences, Journal of Geophysical Research, Atmospheric Research, Remote Sensing等期刊上发表论文二十余篇,获得专利多项。所开发的三维闪电探测和预警系统在北京、海南、广东、新疆、内蒙等十余省市的民航、铁路、电力、气象等领域得到应用。

 

研究领域

云降水物理、人工影响天气、云降水的飞机观测和数值模拟、雷电物理、雷电监测预警


教学课程

大气物理学、大气热力学、大气辐射学、云降水物理学、Advances in Atmospheric Physics、Skills for Environmental Science


科研项目

2021.11—2022.12,横向课题:远距离雷电探测系统研发(开发)项目负责人。

2020.12—2022.11,上海台风研究基金项目负责人。

2020.01—2024.12,横向课题:三维雷电探测系统委托研发(开发)项目负责人。

2020.012022.12,国家自然科学基金青年基金项目项目负责人。

2019.072022.06,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。

2019.122022.11,国家重点研发计划参与。

2019.102020.09,南京市留学人员科技创新项目项目负责人。

2019.072020.11,航天系统装备预先研究项目参与。

2019.092021.09,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。

2019.012021.12,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,子课题负责人。

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

2018.102021.09,南京信息工程大学人才启动项目项目负责人。

 

期刊论文

1.     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.

2.     Yang, J., Y. Zhang, Z. Wang, and D. Zhang, 2022: Cloud Type and Life Stage Dependency of Liquid-Ice Mass Partitioning in Mixed-Phase Clouds, Remote Sensing. 14, 1431. https://doi.org/10.3390/rs14061431.

3.     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.

4.     Sun, H., H. Wang, J. Yang, Y. Zeng, Q. Zhang, Y. Liu, 2022: Improving Forecast of Severe Oceanic Convective Systems Using FY-4A Lightning Data Assimilation with WRF-RTFDDA, Remote Sensing. 14,1965. https:// doi.org/10.3390/rs14091965.

5.     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相关性研究,气象科学,已录用。

6.     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,2022:基于多雷达观测和数值模拟的中天山地区夏季地形云降水过程研究,大气科学,已录用。

7.     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,已录用doi:10.3878/j.issn.1006-9895.2107.21046.

8.     Li, J., B. Dai, J. Zhou, J. Zhang, Q. Zhang, J. Yang, Y. Wang, J. Gu, W. Hou, B. Zou, J. Li, 2022: Preliminary application of long-range lightning location network with equivalent propagation velocity in China. Remote Sensing, 14, 560. doi: 10.3390/rs14030560.

9.     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

10.  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.

11.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

12.  Huang, S., W. Kong, J. Yang*, Q. Zhang, N. Yao, B. Dai, J. Gu, 2020: Distinguishing Different Lightning Events Based on Wavelet Packet Transform of Magnetic Field Signals. Journal of Atmospheric and Solar-Terrestrial Physics, 211, 105477, doi: 10.1016/j.jastp.2020.105477.

13.  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.

14.  Yang, J., Z. Wang, A. J. Heymsfield, P. J. DeMott, C. H. Twohy, K. J. Suski, and D. W. Toohey, 2020: High Ice Concentration Observed in Tropical Maritime Stratiform Mixed-Phase Clouds with Top Temperatures Warmer than -8 °C. Atmospheric Research, 233, 104719, doi: 10.1016/j.atmosres.2019.104719.

15.  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.

16.  Yang, J., Z. Wang, and A. Heymsfield, 2018: On the Freezing Time of Supercooled Drops in Developing Convective Clouds over Tropical Ocean. Atmospheric Research, 211, 30-37, doi: 10.1016/j.atmosres.2018.04.023.

17.  Yang, J., Z. Wang, A. Heymsfield, and T. Luo, 2016: Liquid-Ice Mass Partition in Tropical Maritime Convective Clouds. J. Atmos. Sci., 73, 4959-4978, doi: 10.1175/JAS-D-15-0145.1.

18.  Yang, J., Z. Wang, A. J. Heymsfield, and J. R. French, 2016: Characteristics of Vertical Air Motion in Isolated Convective Clouds. Atmospheric Chemistry and Physics, 16, 10159-10173, doi:10.5194/acp-16-10159-2016.

19.  李涵,邓雨荣,朱时阳,杨璟2014:海-陆混合路径对雷电电磁场传播的影响. 电工技术学报,29229-235

20.  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. Atmospheric Research, 104-105, 202-208, doi:10.1016/j.atmosres.2011.10.009.

21.  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.

22.  Zhang, Q., J. Yang, D. Li, and Z. Wang, 2011: Propagation Effects of a Fractal Rough Ocean Surface on the Vertical Electric Field generated by Lightning Return Strokes. J. Electrostatic, 70, 54-59, doi: 10.1016/j.elstat.2011.10.003.

23.  Zhang, Q., J. Yang, and Z. Wang, 2011: Measurements and Simulation of the M-component Current and Simultaneous Electromagnetic Fields at 60m and 550m. Atmos. Res., 99: 537-545, doi: 10.1016/j.atmosres.2010.12.011.

24.  Zhang, Q., X. Liu, J. Yang, R. Jiang, Z. Wang, and J. Bian, 2011: The Characteristics and Simulation of Close Leader/Return Stroke Field Change Waveforms. Radio Sci., 46, RS1017, doi:10.1029/2010RS004469.

25.  张其林,刘明远,杨璟,刘晓东,杨静,蒋如斌2011:近距离地闪电场变化及对通道电荷密度分布的响应,气象学报70847-854


专利

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

2.              一种适用于真实地形的闪电探测网布局方法,浦景晨,杨璟*崔晨,张碧珠,何勇杰,周源,章腾,刘昊宇,戴炳哲,姚年鹏,张其林,郜海阳。

3.              一种三维闪电定位方法,张碧珠,杨璟*崔晨,张其林,郜海阳。

4.              一种应用于雷电监测的滤波放大电路,华国环,席凌君,周嘉豪,杨璟,张其林

5.              一种基于阶梯光栅的闪电光谱成像仪,周恒韬,杨璟*,王婧彧,朱迪,黄上章,郜海阳,张其林,王雪娟。

6.              一种双波段高光谱分辨率闪电高速成像仪,朱迪,郜海阳,王婧彧,黄上章,周恒韬,卜令兵,张其林,杨璟

7.              新型高精度双谱段闪电摄谱仪,黄上章,王雪娟,王婧彧,朱迪,周恒韬,郜海阳,张其林,杨璟

8.              一种链式室内降噪器 韦仁钰,郜海阳矫洁王思瑶黄琪蕾张其林杨璟

 

会议报告

1.     杨璟,2020High ice concentration observed in stratiform clouds with top temperatures warmer than -8 °C,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.     杨璟2020:基于飞机观测的热带海洋对流云微物理特征研究。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.     杨璟2020:基于飞机观测的热带海洋对流云微物理特征分析。气象灾害预报预警与评估协同创新中心大气成分与云雾降水学术研讨会,2020.09.19-2020.09.20,江苏南京。

4.     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.

5.     Yang, J., Z. Wang, X. Liu, A. Heymsfield, and J. Fan, 2017: Phase Partitioning in Convective clouds: Observing and Modelling studies. 2017 ARM/ASR PI Meeting, 13-17 March, 2017, Vienna, VA.

6.     Yang, J., Z. Wang, X. Liu, A. Heymsfield, and J. Fan, 2017: Phase Partitioning in Tropical Maritime Convective Clouds: Airborne Observation and Model Simulation. 2017 ARM/ASR PI Meeting, 13-17 March, 2017, Vienna, VA.

7.     Yang, J., Z. Wang, A. Heymsfield, J. Fan and X. Liu, 2016: Liquid/Ice Mass Partition in Convective Clouds: Observational and Modelling Studies. 2016 ARM/ASR PI Meeting, 2-6 May, 2016, Vienna, VA.

8.     Yang, J., Z. Wang and D. Zhang, 2016: Aerosol, Cloud Type, Life Cycle Dependent Liquid-Ice Mass Partition. 2016 ARM/ASR PI Meeting, 2-6 May, 2016, Vienna, VA.

9.     Yang, J., Z. Wang, D. Zhang and X. Liu, 2016: Exploring Observed and Simulated Liquid-Ice Mass Partitioning in Stratiform and Convective Mixed-phase Clouds. 2016 ARM/ASR PI Meeting, 2-6 May, 2016, Vienna, VA.

10.  Yang, J., Z. Wang, A. Heymsfield and J. French, 2015: Observing Ice Generation in Developing Convective Clouds. 2015 ASR Science Team Meeting, 16-19 March, 2015, Vienna, VA.

11.  Wang, Z., D. Zhang, J. Yang, T. Luo, M. Deng, 2015: Understanding the Liquid-ice Mass Partition in Stratiform and Convective Mixed-phase Clouds. 2015 ASR Science Team Meeting, 16-19 March, 2015, Vienna, VA.

12.  Yang, J., Z. Wang, A. Heymsfield, J. French and X. Liu, 2014: Ice Generation in Convective Cloud as Learned from Two Recent Field Projects. 2014 ASR Fall PI’s Working Group Meeting, 17-20 November, 2014, Bethesda, MD.

13.  Wang, Z., D. Zhang, J. Yang, X. Liu, T. Luo, M. Deng, and Y. Wang, 2014: Studying Mixedphase Cloud Properties with in Situ and Remote Sensing Measurements. 2014 ASR Science Team Meeting, 10-13 March, 2014, Potomac, MD.

14.  Wang, Z., J. Yang, T. Luo, A. Heymsfield, K. Suski, K. Prather, D. Zhang, M. Deng, J. Snider, and D. Leon, 2014: Observed Strong Ice Generation at Temperatures Warmer than -8°C and Potential Contribution of Biological Ice Nuclei. 14th Conference on Cloud Physics, 7-11 July 2014, Boston, MA.

 

学术报告

1.              基于飞机观测的热带海洋对流云微物理特征研究。2020.11.19,南京大学,中国南京。

2.              热带海洋对流云微物理特征的飞机观测与数值模拟。2018.10.19,南京信息工程大学,中国南京。

3.              热带海洋对流云微物理特征的飞机观测。2018.10.10,宁夏自治区气象局,中国银川。

4.              Vertical Velocity and Phase Partitioning in Convective Clouds. 06 December 2016, University of Wyoming, Laramie, Wyoming, USA.

5.              Vertical Air Motion and Phase Partitioning in Convective Clouds: Observational and Modelling Studies. 21 June 2018, University of Wyoming, Laramie, Wyoming, USA.

 

期刊评审

Journal of Geophysical Research - Atmospheres

Advances in Atmospheric Sciences

Atmospheric and Oceanic Science Letters

Journal of Meteorological Research

 


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