丁赛赛
讲师
中国海洋大学公海欢迎来到赌船
青岛市松岭路238号，266100
E-mail：dingsaisai@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至今中国海洋大学公海欢迎来到赌船讲师
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