韦骏

教授， 博士生导师，副系主任

Email: weijun5@mail.sysu.edu.cn

中山大学大气科学学院海洋气象系 - 珠海校区海琴二号楼3楼A354室

 

教育背景

2001.08 - 2006.08  美国纽约州立大学  博士

1998.09 - 2001.07  中科院南海海洋研究所  硕士

1994.09 - 1998.07  厦门大学海洋系  理学学士 

 

工作经历

2018.09 - present   中山大学大气科学学院  “百人计划” 教授

2011.07 - 2018.08   北京大学物理学院大气海洋科学系  “百人计划” 教授

2009.01 - 2011.06   美国麻省理工学院地球行星大气科学系  研究员II级

2006.09 - 2008.12  美国麻省理工学院地球行星大气科学系  博士后 

 

研究兴趣

1. 台风-海洋相互作用，数值模拟，资料同化

2. 人工智能在海洋气象灾害预报预警技术中的应用 

3. 粤港澳大湾区海洋雷达组网观测及模式同化技术

 

在研项目

  • 国家自然科学基金面上项目：基于神经网络算法的台风模式SST参数化方案研究，2020-2023，62万，主持，在研。
  • 国家自然科学基金重大研究计划培育项目：西太平洋-印太海洋通道-东印度洋多尺度海洋动力过程及其气候反馈机制研究，2020-2022，52万，主持，在研。
  • 广东省重点领域研发计划项目：粤港澳大湾区地波雷达组网及模式同化关键技术研发与示范，2020-2023，600万，主持，在研。
  • 国家重大科学研究(973)项目：纳米能源器件及自驱动系统-海洋蓝色能源基础研究，2016-2021，3400万，参与，在研。
  • 南方海洋科学与工程广东省实验室（珠海）自主项目：地波雷达数据质量控制技术研发，2020-2023，400万，主持，在研。
  • 珠海市科技创新局产学研专项：珠海市海洋地波雷达观测系统研发，80万，2021-2023，参与，在研。
  • 横向技术服务项目：广东省海岛保护信息服务体系数据展示平台框架搭建，45.9万， 2020–2021，主持，在研。
  • 横向技术服务项目：广东省海岛保护信息服务体系门户框架搭建，32.6万， 2020–2021，主持，在研。

 

代表性成果

  • Li, M., H. Xue, J. Wei, L. Liang, A. L. Gordon, and S. Yang (2021). The role of the Mindoro-Sibutu passage on the South China Sea multi–layer circulation. Journal of Physical Oceanography, doi: 10.1175/JPO-D-20-0165.1
  • Wei J*, Yang F, Ren X-C†, Zou S.† (2021) A Short-Term Prediction Model of PM2.5 Concentration Based on Deep Learning and Mode Decomposition Methods. Applied Sciences. 11(15): 6915. https://doi.org/10.3390/app11156915
  • Li, Z. and Wei J* (2021) Prediction of PM2.5 daily concentration of Guangzhou based on neural network algorithms. Acta Scientiarum Naturalium Universittatis Pekinensis, Vol. 57, No.4, 645 – 652.
  • Li, M., D. Yuan，A. L. Gordon, L. K. Gruenburg, X. Li, R. Li, X. Yin, Y. Yang, C. Corvianatie, J. Wei, and S. Yang (2021), A strong sub-thermocline intrusion of the North Equatorial Subsurface Current into the Makassar Strait in 2016–2017. Geophysical Research Letters，e2021GL092505
  • G. Jiang, Q. Jin, Wei J.*, P. Malanotte-Rizzoli, A. Gordon and M. Li (2021) A reduction in the sea surface warming rate in the South China Sea during 1999–2010, Climate Dynamics, https://doi.org/10.1007/s00382-021-05796-8
  • T. Ezer, F. Xu, Z. Liu, E Stanev, S. Wang, Wei, J. (2021). The 11th International Workshop on Modeling the Ocean (IWMO 2019) in Wuxi, China, on June 17–20, 2019, Ocean Dynamics, https://doi.org/10.1007/s10236-021-01448-x
  • Zou S., X. Ren, C. Wang and Wei J* (2020) Impacts of temporal resolution and spatial information on neural network based PM2.5 prediction model. Acta Scientiarum Naturalium Universittatis Pekinensis, Vol. 56, No.3, 417 – 426.
  • Li, M., Gordon, A. L., Gruenburg, L. K., Wei, J., & Yang, S. (2020). Interannual to decadal response of the indonesian throughflow vertical profile to Indo‐ Pacific forcing. Geophysical Research Letters, 47, e2020GL087679. https://doi. org/10.1029/2020GL087679
  • Xue, P., Malanotte‐Rizzoli, P., Wei, J., & Eltahir, E. A. B. (2020). Coupled ocean‐atmosphere modeling over the Maritime Continent: A review. Journal of Geophysical Research: Oceans, 125, e2019JC014978. https://doi.org/ 10.1029/2019JC014978
  • Jiang, G.‐Q., Wei, J.*, Malanotte‐Rizzoli, P., Li, M., & Gordon, A. L. (2019). Seasonal and interannual variability of the subsurface velocity profile of the Indonesian Throughflow at Makassar Strait. Journal of Geophysical Research: Oceans, 124. https://doi.org/10.1029/ 2018JC014884
  • Zu T, Wang D, Wang Q, Li M, Wei J, Geng B, He Y, Chen J, 2019. A revisit of the interannual variation of the South China Sea upper layer circulation in summer: correlation between the eastward jet and northward branch. Climate Dynamics. DOI: 10.1007/s00382-019-05007-5
  • Ren, X., S. Zou, X. Tang and Wei J* (2019) PM2.5 forecast of Beijing based on ensemble empirical mode decomposition and BP neural network. Acta Scientiarum Naturalium Universittatis Pekinensis, Vol. 55, No.4, 615 – 625.
  • Li, M., Wei, J.*, Wang, D., Gordon, A. L., Yang, S., Malanotte‐Rizzoli, P., & Jiang, G. (2019). Exploring the importance of the Mindoro‐Sibutu pathway to the upper‐layer circulation of the South China Sea and the Indonesian Throughflow. Journal of Geophysical Research: Oceans, 124, 5054–5066.
  • Liu, X., Wei, J.*, Zhang, D.‐L., & Miller, W. (2019). Parameterizing sea surface temperature cooling induced by tropical cyclones: 1. Theory and An application to Typhoon Matsa (2005). Journal of Geophysical Research: Oceans, 124, 1215–1231. 
  • Jiang G.-Q. J. Xu and J. Wei* 2018: A deep-learning algorithm of neural network for the parameterization of typhoon-ocean feedback in typhoon forecast models. Geophys. Res. Lett., Vol.45. doi:10.1002/2018GL077004.
  • Li M.-T.*, A. Gordon, J. Wei, L. K. Gruenburg, G.-Q. Jiang 2018: Multi-decadal timeseries of the Indonesian throughflow. Dynamics of Atmosphere and Oceans, Vol. 81, 84-95.
  • Wei J.*, X. Liu and G. Jiang 2018: Parameterizing Sea Surface Temperature Cooling Induced by Tropical Cyclones using a multivariate linear regression model. Acta Oceanologica Sinica. Vol. 37, 1-10. DOI: 10.1007/s13131-018-1153-0
  • Hu, Z, D-P Wang, J. Wei and M-T Li, 2017: Episodic surface intrusions in the Yellow Sea during relaxation of northerly winds. J. Geophys. Res – Oceans, doi: 10.1002/2017JC012830
  • Wei J.*, G. Jiang†, X. Liu† and H. Wang, 2017. Parameterization of typhoon-induced ocean cooling using temperature-equation and machine-learning algorithms: An example of typhoon Soulik (2013). Ocean Dynamics. doi: 10.1007/s10236-017-1082-z
  • Wei J.*, M. Li, P. Malanotte-Rizzoli, A. L. Gordon and D. Wang, 2016. Opposite variability of Indonesian Throughflow and South China Sea Throughflow in the Sulawesi Sea. J. Phys. Oceanogr., 46, 3165-3180.
  • Wei, J.* and Paola Malanotte-Rizzoli, M. Li and H. Wang, 2016. Decomposition of thermal and dynamical changes in the South China Sea induced by boundary forcing and surface fluxes during 1970 – 2000. J. Geophys. Res, 121, 1-20, doi:10.1002/2016JC012078