冯琎
研究员冯琎,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。主持国家自然科学基金面上和青年项目,北京市科技计划项目、国家重点研发计划项目专题等。获得国家发明专利5项(4项排名第1)。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。
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
*注明通讯作者
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.
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.
Qiu Y., 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.
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 large‐scale 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. 2023. url: http://arxiv.org/abs/2304.08754
Y Zhang, Z Chen, X Xiao, X Qie*, M Chen*, J Lu, D Wang, S Yuan, H Lyu, J Feng, S Fan, D Liu. Combined assimilation of radar and lightning data for the short-term forecast of severe convection system. Atmospheric Research. 2023. 283. 106562. doi: 10.1016/j.atmosres.2022.106562
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
[ Chinese Articles ]
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, 44(6): 1349−1363 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, 41 (2): 251−262, 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, 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, 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. 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, 32(2): 11-19. doi: 10.3969/j.issn.1007-9033.2009.02.003
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