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冯琎

研究员
  • 学科方向
    气象学,大气物理学与大气环境
  • 研究方向
    中尺度气象学,地球表层系统模拟, 数据-模型同化,大数据分析,定量遥感,全球变化生态学, 生态水文学
  • 电子邮箱
    jfeng@ium.cn
  • 导师简介
  • 教育及工作经历
  • 论文论著
  • 获奖

冯琎,中科院大气物理研究所博士,北京城市气象研究院研究员,中国气象局青年气象英才,曾工作于美国大气研究中心中小尺度实验室(NCAR/MMM)、空军某部。担任世界气象组织AINPP项目亚洲区域执行组成员,中国气象学会气象人工智能专委会委员。主持国家自然科学基金面上、青年项目,北京市科技计划-中央引导地方专项国家重点研发计划项目专题等所发展的算法在美国NOAA和北京市气象局模式系统应用。

当前研究方向:预报算法(AI气象大数据应用技术、数值预报技术、空气质量评估和预测技术、物理-数据混合模型等)

研究兴趣广泛,包括但不限于预报技术、数值模式、气候、环境、动力学等。鼓励研究生按个人兴趣开展探索性研究。

Curriculum VitaeCode repository at Gitee

2001-2008     南京信息工程大学 大气科学本科, 气象学硕士
2005-2013     中国人民解放军空军 技术军官
2013-2016     中国科学院大气物理研究所 大气物理学与大气环境博士
2016-2017       中国气象局北京城市气象研究所 工程师
2018-2019     美国国家大气研究中心 (NCAR) 访问科学家
2017- 北京城市气象研究院 副研究员, 研究员

* 标注通讯作者
J Feng*, and Y Li. Enhancing surface wind speed and temperature prediction using surface-layer emulator and transfer learning. Monthly Weather Review. 2024. doi: 10.1175/MWR-D-23-0281.1.
W Ji, J Feng*, Y Liu, Y Qiu, and H Gao. Leadsee-Precip: A deep learning diagnostic model for precipitation. 2024. arXiv. doi: 10.48550/arXiv.2411.12640.

Y Qiu, J Feng*, Z Zhang, X Zhao, Z Li, Z Ma, R Liu, and J Zhu. Regional aerosol forecasts based on deep learning and numerical weather prediction. NPJ Climate and Atmospheric Sciences., 6, 71, 2023. doi: s41612-023-00397-0.

Z Xu, T Xue, X Chen*, J Feng*, G Zhang, C Wang, C Lu, H Chen, Y Ding, Wind power correction model designed by the quantitative assessment for the impacts of forecasted wind speed error, Advances in Climate Change Research. 2024. doi: 10.1016/ j.accre.2024.12.006.

J  Feng*, Y Li, Y Qiu, and F Zhu. Capturing synoptic-scale variations in surface aerosol pollution using deep learning with meteorological data. Atmospheric Chemistry and Physics., 23, 375–388. 2023. doi: 10.5194/acp-23-375-2023.
J Zhou, J Feng*, X Zhou*, Y Li, and F Zhu. Estimating site-specific wind speeds using gridded data: A comparison of multiple machine learning models. Atmosphere. 14, 142. 2023. doi: 10.3390/atmos14010142.
J Feng*, X-Y Huang, Y Li. Improving surface wind speed forecasts using an offline surface multilayer model with optimal ground forcing. Journal of Advances in Modeling Earth Systems. 2022 doi: 10.1029/2022MS003072.
Luo, N., Y Guo*, J Feng*, R Ding, Z Gao, Z Zhao. Dynamic downscaling simulation and projection of precipitation extremes over China under a shared socioeconomic pathway scenario. Journal of Geophysical Research: Atmospheres, doi: 10.1029/2022JD037133
Z Wang*, J Feng*, C Diao, Y Li, L Lin, Y Xu. Reduction in European anthropogenic aerosols and the weather conditions conducive to PM2.5 pollution in North China: a potential global teleconnection pathway. Environmental Research Letters, 16(10), 104054. 2021. doi: 10.1088/1748-9326/ac269d.
J Feng*, M Chen, Y Li, J Zhong. An implementation of full cycle strategy using dynamic blending for rapid refresh short-range weather forecasting in China. Advance in Atmospheric Sciences, 2021. doi: 10.1007/s00376-021-0316-7.
J Feng*, H Liao, Y Li, Z Zhang, Y Tang. Long-term trends and variations in haze-related weather conditions in north China during 1980–2018 based on emission-weighted stagnation intensity. Atmospheric Environment 240, 117830, 3, 2020. doi: 10.1016/j.atmosenv.2020.117830.
J Feng*, J Sun, Y Zhang. A dynamic blending scheme to mitigate largescale bias in regional models. Journal of Advances in Modeling Earth Systems 12 (3), e2019MS001754 3 2020. doi: 10.1029/2019MS001754
Y Li, J Feng*, J Li, A Hu. Equatorial windows and barriers for stationary Rossby wave propagation. Journal of Climate 32 (18), 6117-6135 4 2019. doi: 10.1175/jcli-d-18-0722.1
J Feng*, J Quan, H Liao, Y Li, X Zhao. An air stagnation index to qualify extreme haze events in northern China. Journal of the Atmospheric Sciences 75 (10), 3489-3505 12 2018. doi: 10.1175/jas-d-17-0354.1
J Feng, H Liao*, J Li. The impact of monthly variation of the Pacific–North America (PNA) teleconnection pattern on wintertime surface-layer aerosol concentrations in the United States. Atmospheric Chemistry and Physics 16 (8), 4927-4943. 2016. doi: 10.5194/acp-16-4927-2016
J Feng, H Liao*, Y Gu. A comparison of meteorology-driven interannual variations of surface aerosol concentrations in the eastern United States, eastern China, and Europe. SOLA 12, 146-152 4 2016. doi: 10.2151/sola.2016-031
X Man, C Zhang, J Feng, C Li, J Shao. W-mae: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting. arXiv. doi: 10.48550/arXiv.2304.08754.
Y Wang, H Li, J Feng, W Wang, Z Liu, L Huang, E Yaluk, G Lu, etc. Spatial Characteristics of PM2. 5 Pollution among Cities and Policy Implication in the Northern Part of the North China Plain. Atmosphere 12 (1), 77, 2021. doi: 10.3390/atmos12010077
Y Tang*, S Han, Q Yao, Z Cai, Y Qiu, J Feng. Analysis of a Severe Regional Haze-fog-dust Episode over North China in Autumn by Using Multiple Observation Data. Aerosol and Air Quality Research 20 (5), 1-10, 2020. doi: 10.4209/aaqr.2019.11.0567
Y Li*, J Li, F Kucharski, J Feng, S Zhao, J Zheng. Two leading modes of the interannual variability in South American surface air temperature during austral winter. Climate Dynamics 51 (5), 2141-2156 3 2018. doi: 10.1007/s00382-017-4004-3
Y Li*, J Feng, J Li, S Zhao. The circle diagram in the group velocity domain for Rossby wave under the horizontally non-uniform flow. SOLA 14, 121-125 1 2018. doi: 10.2151/sola.2018-021
Y Tang, H Liao*, J Feng. Estimating emissions and concentrations of road dust aerosol over China using the GEOS-Chem model. Atmospheric and Oceanic Science Letters 10 (4), 298-305 1 2017. doi: 10.1080/16742834.2017.1320935
H Zhang, Y LI, M Chen, J Feng, H Hu, S Fan. 2020. Implementation of Hybrid En-3DVAR Assimilation Scheme in Rapid Cycling Assimilation System. Chinese Journal of Atmospheric Sciences (in Chinese), 44(6): 13491363 doi: 10.3878/j.issn.1006-9895.2008.20118 
J Feng, H Liao. 2017. Interannual variation of East Asian aerosols outflow in the winter–spring and the associated atmospheric circulation. Chinese Journal of Atmospheric Sciences (in Chinese), 41 (2): 251262, doi: 10.3878/j.issn.1006-9895.1607.16146 
X Shen, J Liu, N Qin, J Feng. 2013. Impact of viscous friction on barotropic eigenvalue wave of typhoon Matsa after its landing. Chinese Journal of Atmospheric Sciences (in Chinese), 37 (6): 1219–1234. doi: 10.3878/j.issn.1006-9895.2013.12047 
Y Guo, J Quan, Y Pan, W Pu, J Feng, X Zhao, T Yuan, 2021, Multi-time scale variations of the PM2.5 in Beijing and its key mechanisms (in Chinese), China Environmental Science. doi: 10.19674/j.cnki.issn1000-6923.20211025.010
Y Tang, S Han, Z Cai, X Yang, J Feng. Feature analysis of atmospheric self-purification capability and atmospheric particulate concentration in Tianjin during 2013-2017 (in Chinese). Journal of Meteorology and Environment, 2019, 35(6): 55-66. doi: 10.3969/j.issn.1673-503X.2019.06.008

J Feng, Z Sun, X Shen, Y Li. Temporal and spatial variation characteristics of simulated typhoon Ewiniar (2006). 2009. Meteorology and Disaster Mitigation Research (in Chinese), 32(2): 11-19. doi: 10.3969/j.issn.1007-9033.2009.02.003


国家发明专利:

一种快速预报区域大气气溶胶浓度的方法

一体化气溶胶污染气象指数气溶胶浓度估算方法及系统

结合湍流物理模型和历史观测数据优化的近地面风速预测方法

区域数值预报模式的混合热启动初始场生成方法及系统

一种修正风电机预测功率的方法及装置





2023: 北京市科协 "卓越工程师"计划

2023: 中国气象局 十三五以来气象科技成果优秀奖

2022: 中国气象局 青年气象英才

2022: 北京市科协 产业特派员

2021: 北京气象局 青年气象英才

2011: 空司气象局 科研和技术革新奖