邵靖媛个人简介

  

一、个人基本信息

出生日期：1992年10月

籍贯：山东省烟台市

性别：女

民族：汉族

职称：讲师

最高学历：博士

工作单位：taptap下载安装安卓飞行分校

通信地址：天津市taptap下载安装安卓空管楼C座501

邮政编码：300300

电话：022-2409XXXX(办)

传真：022-2409XXXX

电子邮箱：jyshao@cauc.edu.cn

微信（或QQ）(选填)13081609567

二、学习和工作经历简介

●2010.09-2014.06:兰州大学大气科学学院 本科

●2014.09-2019.06:北京大学物理学院 博士

●2016.10-2018.02:美国华盛顿大学 访问学者

●2019.07 -现在:taptap下载安装安卓飞行分校 教师

三、学术兼职

●无

四、社会兼职

●无

五、荣誉称号

●无

六、主要研究方向和科研业绩

主要研究方向包括：

●航空危险天气的预警、预报方法研究

● 深度学习在航空气象中应用（AI+民航+气象）

● 飞行、气象数据融合和深度挖掘

● 航空污染排放清单及其气候效应

科研业绩：

●中央高校一般项目，航空排放对京津冀复合型大气污染的影响研究，主持10万，2022-2024

●民航安全能力建设项目，融合QAR数据的航路风切变预报优化研究，参与，342万元，2023-2025

●民航安全能力建设项目，基于大数据的飞行员操纵品质分析及改进措施研究，参与，158万元，2021-2023

● 气象软科学项目，机载QAR气象数据挖掘与深度应用策略研究，参与，3万元，2023-2024

● 天津市自然科学多元投入基金项目面上项目，基于激光雷达的机场终端区飞行湍流识别算法，参与，10万元，2021-2024

● 江苏省重点研发项目（社会发展），多普勒激光雷达机场低空风切变监测预警关键技术研究，参与，15万元，2021-2024

获奖：

●

七、论著目录

学术论文：

[1]Shao, J. ,ZhuangZ.,YuZh.,LinK,WuK.,Leung, ChanPakwai.The Prospective Application of Machine Learning in Turbulence Forecasting over China.,J. Appl. Meteorol. Clim.2024,Accept.

[2]Shao, J., Alexander, B., Zhang, L.*, Chen, Q., He, P., Sun Y, Heterogeneous sulfate aerosol formation mechanisms in Chinese haze events: Air quality model assessment using observations of sulfateΔ17O in Beijing. Atmos. Chem. Phys., 2019.(一区top，高被引论文)

[3]Zhang, L.*,Shao, J., Lu, X., Zhao, Y., Hu, Y., Henze, D.K., Liao, H., Gong, S.L., and Zhang, Q.: Sources and processes affecting fine particulate matter pollution over North China: an adjoint analysis of the Beijing APEC period, Environ. Sci. Technol., 2016. .(一区top)

[4]Zang, H., Zhao, Y., Huo, J.,…Shao,J.... & Xiao, H. (2022). High atmospheric oxidation capacity drives wintertime nitrate pollution in the eastern Yangtze River Delta of China. Atmospheric Chemistry and Physics, 22(7), 4355-4374.

[5]Ruan, X., Zhao, C., Zaveri, R. A., He, P., Wang, X.,Shao, J.,& Geng, L. (2022). Simulations of aerosol pH in China using WRF-Chem (v4. 0): sensitivities of aerosol pH and its temporal variations during haze episodes. Geoscientific Model Development, 15(15), 6143-6164.

[6]Wang, Y., Zhao, Y., Wang, Y., Yu, J. Z.,Shao, J.,Liu, P., ... & Xiao, H. (2021). Organosulfates in atmospheric aerosols in Shanghai, China: seasonal and interannual variability, origin, and formation mechanisms. Atmospheric Chemistry and Physics, 21(4), 2959-2980.

[7]Ishino, S., Hattori, S., Legrand, M., Chen, Q., Alexander, B., Shao, J., ... & Savarino, J. (2021). Regional characteristics of atmospheric sulfate formation in East Antarctica imprinted on 17O‐excess signature. Journal of Geophysical Research: Atmospheres, 126(6), e2020JD033583.

[8]Moch, J. M., Dovrou, E., Mickley, L. J.,.Shao, J. , ... & Jacob, D. J. (2020). Global importance of hydroxymethanesulfonate in ambient particulate matter: Implications for air quality. Journal of Geophysical Research: Atmospheres, 125(18), e2020JD032706.

[9]Song, S., Nenes, A., Gao, M., Zhang, Y., Liu, P., Shao, J., ... & McElroy, M. B. (2019). Thermodynamic modeling suggests declines in water uptake and acidity of inorganic aerosols in Beijing winter haze events during 2014/2015–2018/2019. Environmental Science & Technology Letters, 6(12), 752-760.

[10]Pan, J., He, S., Zheng, J., Shao, J., Li, N., Gong, Y., & Gong, X. (2019). The development of an herbal material quality control strategy considering the effects of manufacturing processes. Chinese Medicine, 14(1), 1-12.

[11] Song, S., Gao, M., Xu, W., Shao, J., Shi, G., Wang, S., Wang, P Y., Sun, Y., and McElroy, M. B.: Fineparticle pH for Beijing winter haze as inferred from different thermodynamic equilibrium models, Atmos. Chem. Phys., 2018.

[12] Song, S., Nenes, A., Gao, M., Zhang,Y., Shao, J., Ye, D., Xu W., Sun, Y., Liu, B., Wang,S., and McElroy, M. B: Recent Declines in Water Uptake and Acidity of inorganic aerosols during Beijing winter haze events. Environ. Sci. Technol. Lett., 2019.

[13] Liu, M., Lin, J., Wang, Y., Sun, Y., Zheng, B., Shao, J., ... & Yan, Y.. Spatiotemporal variability of NO2 and PM2.5 over Eastern China: observational and model analyses with a novel statistical method. Atmos. Chem. Phys., 2018.

[14] Lu, X., Zhang, L.*, Liu, X., Gao, M., Zhao, Y., and Shao, J.: Lower tropospheric ozone over India and its linkage to the South Asian monsoon, Atmos. Chem. Phys., 2017.

[15] Lu, X., Zhang, L., Yue, X., Zhang, J., Jaffe, D.A., Stohl, A., Zhao, Y., Shao, J.,. Wildfire influences on the variability and trend of summer surface ozone in the mountainous western United States. Atmos.Chem. Phys., 2016.

专利：

[1]邵靖媛,庄子波,李浩森.一种融合多源数据的航路颠簸数据库构建方法[P]. CN202311834811.7

[2]庄子波,刘伟领,邵靖媛.一种基于多头注意力机制模型的航路EDR估计方法[P].天津:CN202311245046.5, 2023-12-29.