衣立

发布者:李星锐发布时间:2021-09-01浏览次数:8762

衣立

副教授

海洋与大气学院,507房间

青岛市松岭路238号,266100

E-mailyili@ouc.edu.cn

教育经历:

2004/9-2008/6,中国海洋大学,大气科学,学士

2008/9-2011/6,中国海洋大学,大气物理学与大气环境,硕士

2011/9-2015/6,中国海洋大学,大气物理学与大气环境,博士

2012/9-2014/9,德国菲利普斯-马尔堡大学,卫星遥感,联合培养博士

工作经历:

2019/01-至今,中国海洋大学,海洋与大气学院,副教授

2015/07-2018/12,中国海洋大学,海洋与大气学院,讲师

主持项目:

2020/01-2023/12,国家自然科学基金(面上项目),“基于静止气象卫星数据的黄海和东海海雾雾区全天反演方法研究”(41975024),74.4万,主持;

2017/01-2019/12,国家自然科学基金(青年项目),“黄海海雾辐射特征及其对大气边界层温度层结的影响”(41605006),26.4万,主持;

2016/11-2018/11,山东省自然科学基金,“黄海西部海雾入侵卫星-地面实时监测技术研究”(ZR2016DB26),8万,主持;

2021/08-2023/02,国家气候中心,FY系列卫星海雾长序列数据融合方法研究,10万,主持;

2022/07-2022/12,国家卫星气象中心,风云四号卫星海雾监测软件开发,12万,主持;

2020/08-2022/12,广州热带海洋气象研究,“华南海雾卫星监测系统”,18万,主持;

2019/10-2020/05,国家气候中心,“中国近海气候监测-海雾检测技术与产品研发”,50万,主持;

2018/04-2020/10,中国气象局, 天气预报科技成果业务转化,“基于葵花8号静止卫星数据的黄海海雾动态阈值反演技术”,18万,主持;

2018/01-2018/12,福建省气象局,“风云四号科研试验星环境生态应用示范系统复杂下垫面大雾监测及预警应用示范子系统项目”,27.65万,主持;

2016/08-2017/08,广州热带海洋气象研究,“华南沿海海雾的卫星产品反演”,2万,主持;


主要参与项目:

国家重点研发计划,《两洋一海气象灾害自主可控监测预报技术研究》子课题 “关键海区海雾和大风时空变化特征与机理研究”(2019YFC1510102),69/156万;

国家重点研发计划,《高分辨率海冰模式的研发》子课题 “支持海冰模式参数化研发和评估的观测数据系统”(2018YFA0605903),33/120万;

国家气象中心,“基于FY4静止气象卫星的海雾监测预报软件系统”,15/50万;

国家重点研发计划,子课题(2016YFC1402702)35/115万;

山东省重点研发计划,“黄渤海海雾卫星三维实时监测技术研究”(2015GSF120005), 10/18万;

发表文章:

Li Yi; King-Fai Li; Xianyao Chen; Ka-Kit Tung (2023). Summer Marine Fog Distribution in the Chukchi–Beaufort Seas, Earth and Space Science, 10

Song S-T, Shi X-M, Zhang S-P, Chen X-Y, Xue Y-C, Zhao W, Yang C, Huang B and Yi L* (2022). Springtime sea fog penetration in Qingdao: Anomalous moistening and diurnal cooling. Front. Earth Sci. 10:956836. doi: 10.3389/feart.2022.956836

  Li X, Zhang S, Koračin D, Yi L and Zhang X (2022). Atmospheric conditions conducive to marine fog over the northeast Pacific in winters of 1979–2019. Front. Earth Sci. 10:942846. doi: 10.3389/feart.2022.942846

Xueying Cheng; Li Yi*; Joerg Bendix (2021). Cloud top height retrieval over the Arctic Ocean using a cloud-shadow method based on MODIS, Atmospheric Research, 253

Wang, S., Yi, L.*, Zhang, S, Shi, X., Chen, X. (2020). The Microphysical Properties of a Sea-Fog Event along the West Coast of the Yellow Sea in Spring. Atmosphere.11, 413.

Yi, L., Li, K., Chen, X., Tung, K. K. (2019). Arctic fog detection using infrared spectral measurements. Journal of Atmospheric and Oceanic Technology. 36(8): 1643-1656.

Huang, H., Huang, B., Yi, L., Liu, C., Tu, J., Wen, G., Mao, W. (2019). Evaluation of the Global and Regional Assimilation and Prediction System for Predicting Sea Fog over the South China Sea[J]. Advances in Atmospheric Sciences, 36(6): 623-642.

Yi L.*, Boris Thies, Suping Zhang, Xiaomeng Shi, Jorg Bendix (2016). Low stratus and fog optical thickness and effective radius retrieval from MTSAT at daytime data as a precondition for Yellow Sea ocean fog detection. Remote Sensing, 8(1), 8.

Shi Xiaomeng, Sun Jilin, Wu Dexing,Yi L., We Dongni (2015). Impact of Autumn SST in the Japan Sea on Winter Rainfall and Air Temperature in Northeast China. Journal of Ocean University of China, 14(4), 604-611.

Yi L.*, S. P. Zhang, B. Thies, X. M. Shi, K. Trachte, and J. Bendix (2014). Spatio-temporal detection of fog and low stratus top heights over the Yellow Sea with geostationary satellite data as a precondition for ground fog detection - A feasibility study, Atmos. Res., 151, 212-223

Zhang Suping, Yi L. (2013). A Comprehensive Dynamic Threshold Algorithm for Daytime Sea Fog Retrieval over the Chinese Adjacent Seas. Pure and Applied Geophysics.170(11), 1931-1944.

 黎梦雅,时晓曚,吴晓京,衣立*.基于卷积神经网络的西北太平洋夜间海雾/低云卫星检测方法研究[J].海洋气象学报,2023,(1):1-11

 李顺,衣立*,徐娜,时晓曚,张苏平,刘敬武.基于FY-4A大气温度廓线数据的西北太平洋低云云顶高度反演研究[J].海洋气象学报,2022,42(4):85-94

 赵诗童,时晓曚,吴晓京,杨超,张苏平,衣立*.三种经典夜间陆地雾遥感反演方法的适用性对比分析[J].海洋气象学报,2021,41(1):45-57

 刘树霄,衣立*张苏平,时晓曚,薛允传. 基于全卷积神经网络方法的日间黄海海雾卫星反演研究. 海洋湖沼通报. 2019,(6),13-22.

 赵进平, 刘一林, 衣立, 王晓宇, 陈显尧.用垂向光学辐照度测量数据计算雾能见度的方法和验证.中国海洋大学学报:自然科学版. 2019,5:1-10.

 宋姝彤,衣立*,张苏平,王晓宇,刘一林,陈显尧. Polar WRF模式海冰密集度方案对Polar WRF模式海冰密集度方案对北极海雾模拟效果的个例研究.海洋气象学报. 2019,39(2):34-42

 李欣蓓,张苏平衣立韩美潘宁.基于循环神经网络的单站能见度短临预报试验,海洋气象学报. 2019,39(2):76-83

 黄山, 张苏平, 衣立.一次春季黄海西部离岸气流背景下形成岸滨雾的过程分析.中国海洋大学学报:自然科学版. 2019, (3).

 郭九华, 张苏平, 衣立, 刘敬武.东海黑潮暖水区一次夜间云覆盖边界层发展过程的大涡模拟——辐射强迫研究[J].中国海洋大学学报:自然科学版.2018, 48(7).

 张苏平,王媛,衣立,刘海坤,王倩.一次层积云发展过程对黑潮延伸体海洋锋强迫的响应研究——观测与机制分析[J].大气科学. 2017,41(2).

 徐志鹏,张苏平,衣立,马艳.青岛近岸能见度逐小时分级预报模型初探[J]. 海洋湖沼通报. 2018, (1).

 王媛, 张苏平, 衣立,刘敬武,郭九华.一次层积云发展过程对黑潮延伸体海洋锋强迫的响应研究——数值模拟和试验[J]. 中国海洋大学学报:自然科学版. 2017, 47(7).

衣立, 张苏平, 殷玉齐: 2009年黄海绿潮浒苔爆发与漂移的水文气象环境[J]. 中国海洋大学学报:自然科学版. 2010, 40(10) , 15-23.

*: 通讯作者

科技成果业务转化认证

 “基于葵花8号静止卫星数据的黄海海雾动态阈值检测技术V1.02020RZ003,202012月,中国气象局天气预报科技成果中试基地,第一完成人。

发明专利

2021年:国家发明专利授权,利用雾滴谱的谱型和液态水含量计算雾中能见度的方法,CN202010993902.5衣立,王胜凯,时晓曚,张苏平,刘一林,王晓宇,李顺。第一完成人。

2020年:国家发明专利授权, 基于卫星数据及站点观测数据的双通道海雾反演阈值改进方法,CN201810002957,衣立, 张苏平, 巫明娜, 廖嘉文, 宋姝彤。第一完成人。

2020年:国家发明专利授权基于站点实测数据和模式结果的水平能见度预报方法CN108227041A,徐志鹏, 衣立,张苏平, 薛允传, 马艳, 赵文雪, 霍志丽, 刘敬武。第二完成人。

讲授课程

本科:大气探测,大气探测实习,海-气边界层与海雾,边界层气象,海雾, 卫星气象学

研究兴趣:

/低云卫星遥感监测技术,云雾微物理过程,海洋大气边界层。

CV

Li YI


Associate Professor

College of Oceanic and Atmospheric Sciences

Ocean University of China

238 Songling Rd, Qingdao 266100, China

Email:yili@ouc.edu.cn


Education

09/2004-06/2008, B.S. in Atmospheric Science, Ocean University of China (OUC)

09/2008-06/2011, M.S. in Atmospheric Physics and Atmospheric Environment, OUC

09/2011-06/2015, Ph.D. in Atmospheric Physics and Atmospheric Environment, OUC

10/2012-10/2014, Joint Ph.D. candidate in Remote Sensing, Philipps-Universität Marburg, Germany


EMPLOYMENT

01/2019-present,Associate Professor, Ocean University of China

07/2015-12/2018, Lecturer, Ocean University of China


Major PROJECTS

01/2019-12/2022, NSFC project,“the study of all-day sea fog retrieval based on Geostationary

Meteorological Satellite data over the Yellow Sea and East China Sea” ,41975024, PI

01/2017-12/2019NSFC project, “A study on the Yellow Sea Fog Radiative effect and its influence on temperature stratification of Marine Atmospheric Boundary Layer in Spring”41605006, PI

01/2016-11/2018SFC of Shandong province, “Spatial-temporal variation of Yellow Sea Fog Radiant Characteristics and its feedback to vertical structure of Marine Atmospheric Boundary Layer”ZR2016DB26, PI

01/2015-12/2019Belmont Forum Collaborative Research Action, “Arctic Fog Variability in a Warming Arctic and Its Impact on Maritime Human Activities”41561144001, Participant

01/2016-12/2019NSFC project, “The Seasonal Variations in Vertical Stratification of the Marine Atmosphere Boundary Layer and Sea Fog Invasion from Open Waters to Seashore over the Yellow Sea”4157060582, Participant

REFEREED PUBLICATIONS


Li Yi; King-Fai Li; Xianyao Chen; Ka-Kit Tung (2023). Summer Marine Fog Distribution in the Chukchi–Beaufort Seas, Earth and Space Science, 10

Song S-T, Shi X-M, Zhang S-P, Chen X-Y, Xue Y-C, Zhao W, Yang C, Huang B and Yi L* (2022). Springtime sea fog penetration in Qingdao: Anomalous moistening and diurnal cooling. Front. Earth Sci. 10:956836. doi: 10.3389/feart.2022.956836

  Li X, Zhang S, Koračin D, Yi L and Zhang X (2022). Atmospheric conditions conducive to marine fog over the northeast Pacific in winters of 1979–2019. Front. Earth Sci. 10:942846. doi: 10.3389/feart.2022.942846

Xueying Cheng; Li Yi*; Joerg Bendix (2021). Cloud top height retrieval over the Arctic Ocean using a cloud-shadow method based on MODIS, Atmospheric Research, 253

Wang, S., Yi, L.*, Zhang, S, Shi, X., Chen, X. The Microphysical Properties of a Sea-Fog Event along the West Coast of the Yellow Sea in Spring. Atmosphere. 2020, 11, 413.

Yi, L., Li, K., Chen, X., Tung, K. K., 2019: Arctic fog detection using infrared spectral measurements. Journal of Atmospheric and Oceanic Technology. 2019, 36(8): 1643-1656.

Huang H, Huang B, Yi L, et al. Evaluation of the Global and Regional Assimilation and Prediction System for Predicting Sea Fog over the South China Sea[J]. Advances in Atmospheric Sciences, 2019, 36(6): 623-642.

Yi L.*, Boris Thies, Suping Zhang, Xiaomeng Shi, Jorg Bendix, 2016: Low stratus and fog optical thickness and effective radius retrieval from MTSAT at daytime data as a precondition for Yellow Sea ocean fog detection. Remote Sensing, 8(1), 8.

Shi Xiaomeng, Sun Jilin, Wu Dexing,Yi L., We Dongni, 2015: Impact of Autumn SST in the Japan Sea on Winter Rainfall and Air Temperature in Northeast China. Journal of Ocean University of China, 14(4), 604-611.

Yi L. *, S. P. Zhang, B. Thies, X. M. Shi, K. Trachte, and J. Bendix, 2014: Spatio-temporal detection of fog and low stratus top heights over the Yellow Sea with geostationary satellite data as a precondition for ground fog detection - A feasibility study, Atmos. Res., 151, 212-223

Zhang Suping, Yi L., 2013: A Comprehensive Dynamic Threshold Algorithm for Daytime Sea Fog Retrieval over the Chinese Adjacent Seas. Pure and Applied Geophysics 170:11, 1931-1944.


Courses

Undergraduate: Sea fog, Boundary Layer Meteorology, Atmospheric observation,


Research Interests

Interested in fog remote sensing, Cloud/Fog microphysical character and

Interaction between fog and atmosphere boundary layer.