丁赛赛

发布者:李星锐发布时间:2020-09-08浏览次数:4770

丁赛赛


讲师

中国海洋大学海洋与大气学院

青岛市松岭路238号,266100

E-maildingsaisai@ouc.edu.cn


教育经历:

2010/09-2014/06  兰州大学大气科学学士

2014/09-2020/08  北京大学气象学博士

2016/09-2017/08  伊利诺伊大学香槟分校访问学者

2017/09-2018/08  俄克拉荷马大学访问学者

   

工作经历:

2020/09至今中国海洋大学海洋与大气学院讲师

  

主要项目:

代表文章:

[1] S. Ding, G. M. McFarquhar*, S. W. Nesbitt, R. J. Chase, M. R. Poellot, H., Wang. The dependence of mass-dimensional relationships on median mass diameter. Atmosphere, 2020, 11(7), 756. https://doi.org/10.3390/atmos11070756

[2] C. Praz, S. Ding, G. M. McFarquhar, and A. Berne*. A versatile method for ice particle habit classification using airborne imaging probe data. J. Geophys. Res. Atmos., 123(2018), 13472–13495.

[3] Q. Wu, H. Wang*, Y. Zhuang, Y. Lin, Y. Zhang, and S. Ding. Correlations of multispectral infrared indicators and applications in the analysis of developing convective clouds. J. Appl. Meteor. Climatol., 55(2016), 945–960. 

 

研究兴趣:

云物理,海雾,云的外场观测


Saisai Ding

Lecture

College of Oceanic and Atmospheric Sciences

Ocean University of China

238 Songling Rd, Qingdao 266100, China

Tel: +86-18801192117

Email:dingsaisai@ouc.edu.cn

  

Education

09/2010-06/2014, B.S. in Atmospheric Science, Lanzhou University

09/2014-08/2020, Ph.D. in Meteorology, Peking University

09/2016-08/2017, Visiting scholar, University of Illinois at Urbana-Champaign

09/2017-08/2018, Visiting scholar, University of Oklahoma

  

EMPLOYMENT

08/2020-present, Lecture, Ocean University of China

  

PUBLICATIONS

[1] S. Ding, G. M. McFarquhar*, S. W. Nesbitt, R. J. Chase, M. R. Poellot, H., Wang. The dependence of mass-dimensional relationships on median mass diameter. Atmosphere, 2020, 11(7), 756. https://doi.org/10.3390/atmos11070756

[2] C. Praz, S. Ding, G. M. McFarquhar, and A. Berne*. A versatile method for ice particle habit classification using airborne imaging probe data. J. Geophys. Res. Atmos., 123(2018), 13472–13495.

[3] Q. Wu, H. Wang*, Y. Zhuang, Y. Lin, Y. Zhang, and S. Ding. Correlations of multispectral infrared indicators and applications in the analysis of developing convective clouds. J. Appl. Meteor. Climatol., 55(2016), 945–960. 

  

Research Interest

cloud physics, sEa fog, cloud Field observa