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个人信息Personal Information
副教授 硕士生导师
教师英文名称:FEIFEI SHEN
教师拼音名称:SHEN FEIFEI
电子邮箱:002746@nuist.edu.cn
所在单位:大气物理学院
办公地点:https://www.mdpi.com/journal/remotesensing/special_issues/A85PK3VBM3
性别:男
联系方式:13913313210
职称:副教授
主要任职:大气探测系教师
其他任职:担任气象灾害预报预警与评估协同创新中心的资料同化与强对流天气的模拟团队科研秘书,资料同化与数值预报团队科研秘书
硕士生导师
学科:大气科学
其他联系方式Other Contact Information
通讯/办公地址 : 247730155@qq.com
移动电话 : 13913313210
邮箱 : ffshen@nuist.edu.cn
个人简介Personal Profile
教育背景:
2016.09–2020.10, NCAR(National Center for Atmospheric Research,USA),美国国家大气研究中心。访问学者
2013.03–2016.04, CAPS, University of Oklahoma, USA. Research Fellow
2010.09–2016.05, 南京信息工程大学, 气象学博士
2007.09–2010.07, 南京信息工程大学, 气象学硕士
工作经历:
2013.04–2016.04 在美国俄克拉荷马大学风暴分析与预测中心访问研究,主要从事风暴尺度的雷达资料同化算法和同化系统的研发,以及春季试验(Spring experiments)中雷达资料同化系统的评估和检验。
2019.06–至今 在美国国家大气研究中心(NCAR)进行访问研究,主要致力于雷达资料的同化研究工作
学术兼职:
1. 中国气象局雷达资料质量控制与同化应用实验室副主任, 中国气象局龙卷风重点开放实验室研究员,国家自然科学基金评审专家,广东省自然科学基金评审专家
2. 担任《Journal of Geophysical Research-Atmospheres》、《Monthly Weather Review》、《IEEE Transactions on Geoscience and Remote Sensing》、《Atmospheric research》、《Meteorology and Atmospheric Physics》、《Advances in Atmospheric Sciences》、《Frontiers of Earth Science》、《大气科学》、《气象学报》、《高原气象》、《气象科学》、《大气科学学报》等期刊审稿人
3. 担任气象灾害预报预警与评估协同创新中心的资料同化与强对流天气的模拟团队科研秘书,资料同化与数值预报团队科研秘书。
荣誉获奖:
2018年,南京信息工程大学,获校级本科毕业论文优秀指导教师
2018年,南京信息工程大学,获得优秀班主任称号
2020年,江苏省气象学会气象科技成果奖
2023年,获得南京科技学术年会优秀论文奖
2024年,获得龙山书院优秀学业导师称号
2024年,获江苏省基础科学领域十大科技进展
2024年,获2020-2024年暴雨科技重大进展
发表学术论文:
Shen, F., Shu, A., Liu, Z., Li, H., Jiang, L., Zhang, T., Xu, D., 2024. Assimilating FY-4A AGRI Radiances with a channel-sensitive cloud detection scheme for the analysis and forecasting of multiple typhoons. Advances in Atmospheric Sciences. 41, 937-958.
Shen, F., Yuan, X., Li, H., Xu, D., Luo, J., Shu, A., Huang, L., 2024. Improving Typhoon Muifa (2022) Forecasts with FY-3D and FY-3E MWHS-2 Satellite Data Assimilation under Clear Sky Conditions. Remote Sensing. 16.
Wan, S., Shen, F., Chen, J., Liu, L., Dong, D., He, Z., 2024. Evaluation of Two Momentum Control Variable Schemes in Radar Data Assimilation and Their Impact on the Analysis and Forecast of a Snowfall Case in Central and Eastern China. Atmosphere. 15, 342.
Xu, D., Huang, L., Min, J., Jiang, L., Shen, F., Lei, Y., 2024. Impacts of the all-sky assimilation of FY-3D and FY-3E MWHS-2 radiances on analyses and forecasts of Typhoon Muifa (2022). Atmospheric Research. 107646.
Xu, D., Zhang, X., Min, J., Shen, F., 2024. Impacts of assimilating all‐sky FY‐4A AGRI satellite infrared radiances on the prediction of Super Typhoon In‐Fa during the period with abnormal changes. Journal of Geophysical Research: Atmospheres. 129, e2024JD040784.
Zhang, X., Xu, D., Min, J., Li, H., Shen, F., Lei, Y., 2024. A Machine Learning-based Bias Correction Scheme for the All-Sky Assimilation of AGRI Infrared Radiances in a Regional OSSE Framework. IEEE Transactions on Geoscience and Remote Sensing.
Bian, H., Min, J., Shen, F., 2023. Application of Radar Radial Velocity Data Assimilation in the Forecasts of Typhoon Linfa Based on Different Horizontal Length Scale Factors. Atmosphere. 14, 582.
Shen, F., Song, L., He, Z., Xu, D., Chen, J., Huang, L., 2023. Impacts of adding hydrometeor control variables on the radar reflectivity data assimilation for the 6–8 August 2018 mesoscale convective system case. Atmospheric Research. 295, 107012.
Shu, A., Shen, F., Jiang, L., Zhang, T., Xu, D., 2023. Assimilation of Clear-sky FY-4A AGRI radiances within the WRFDA system for the prediction of a landfalling Typhoon Hagupit (2020). Atmospheric Research. 283, 106556.
Song, T., Xu, D., Shen, F., Shu, A., Song, L., 2023. Forecast and analysis of a rainstorm case in east China based on the blown-up theory. Atmosphere. 14, 1508.
Xu, D., Zhang, X., Liu, Z., Shen, F., 2023. All-sky infrared radiance data assimilation of FY-4A AGRI with different physical parameterizations for the prediction of an extremely heavy rainfall event. Atmospheric Research. 293, 106898.
Zhang, X., Xu, D., Li, X., Shen, F., 2023. Nonlinear Bias Correction of the FY-4A AGRI Infrared Radiance Data Based on the Random Forest. Remote Sensing. 15, 1809.
Shen, F., Song, L., Li, H., He, Z., Xu, D., 2022. Effects of different momentum control variables in radar data assimilation on the analysis and forecast of strong convective systems under the background of northeast cold vortex. Atmospheric Research. 280, 106415.
Shu, A., Xu, D., Zhang, S., Shen, F., Zhang, X., Song, L., 2022. Impacts of Multi-Source Microwave Satellite Radiance Data Assimilation on the Forecast of Typhoon Ampil. Atmosphere. 13, 1427.
Song, L., Shen, F., Shao, C., Shu, A., Zhu, L., 2022. Impacts of 3DEnVar-Based FY-3D MWHS-2 Radiance Assimilation on Numerical Simulations of Landfalling Typhoon Ampil (2018). Remote Sensing. 14, 6037.
Sun, W., Liu, Z., Song, G., Zhao, Y., Guo, S., Shen, F., Sun, X., 2022. Improving wind speed forecasts at wind turbine locations over northern China through assimilating nacelle winds with WRFDA. Weather and Forecasting. 37, 545-562.
Xu, D., Yang, G., Wu, Z., Shen, F., Li, H., Zhai, D., 2022. Evaluate radar data assimilation in two momentum control variables and the effect on the forecast of southwest China vortex precipitation. Remote Sensing. 14, 3460.
Yang, G., Min, J., Shen, F., 2022. Application of Radar Radial Velocity Data Assimilation Based on Different Momentum Control Variables in Forecasting Typhoon Kompasu. Atmosphere. 14, 39.
Zhang, X., Xu, D., Liu, R., Shen, F., 2022. Impacts of FY-4A AGRI radiance data assimilation on the forecast of the super typhoon “in-fa”(2021). Remote Sensing. 14, 4718.
Shen, F., Min, J., Li, H., Xu, D., Shu, A., Zhai, D., Guo, Y., Song, L., 2021. Applications of radar data assimilation with hydrometeor control variables within the WRFDA on the prediction of landfalling hurricane IKE (2008). Atmosphere. 12, 853.
Shen, F., Shu, A., Li, H., Xu, D., Min, J., 2021. Assimilation of Himawari-8 imager radiance data with the WRF-3DVAR system for the prediction of Typhoon Soudelor. Natural Hazards and Earth System Sciences. 21, 1569-1582.
Shen, F., Xu, D., Li, H., Liu, R., 2021. Impact of radar data assimilation on a squall line over the Yangtze–Huaihe River Basin with a radar reflectivity operator accounting for ice‐phase hydrometeors. Meteorological Applications. 28, e1967.
Shen, F., Xu, D., Li, H., Min, J., Liu, R., 2021. Assimilation of GPM Microwave Imager Radiance data with the WRF hybrid 3DEnVar system for the prediction of Typhoon Chan-hom (2015). Atmospheric Research. 251, 105422.
Xu, D., Liu, Z., Fan, S., Chen, M., Shen, F., 2021. Assimilating all-sky infrared radiances from Himawari-8 using the 3DVar method for the prediction of a severe storm over North China. Advances in Atmospheric Sciences. 38, 661-676.
Xu, D., Shen, F., Min, J., Shu, A., 2021. Assimilation of GPM Microwave Imager radiance for track prediction of typhoon cases with the WRF hybrid En3DVAR system. Advances in Atmospheric Sciences. 38, 983-993.
Xu, D., Shu, A., Li, H., Shen, F., Li, Q., Su, H., 2021. Effects of assimilating clear-sky FY-3D MWHS2 radiance on the numerical simulation of tropical storm ampil. Remote Sensing. 13, 2873.
Xu, D., Zhang, X., Li, H., Wu, H., Shen, F., Shu, A., Wang, Y., Zhuang, X., 2021. Evaluation of the simulation of Typhoon Lekima (2019) based on different physical parameterization schemes and FY-3D satellite’s MWHS-2 data assimilation. Remote Sensing. 13, 4556.
Shen, F., Xu, D., Min, J., Chu, Z., Li, X., 2020. Assimilation of radar radial velocity data with the WRF hybrid 4DEnVar system for the prediction of hurricane Ike (2008). Atmospheric Research. 234, 104771.
Xia, X., Min, J., Shen, F., Wang, Y., Xu, D., Yang, C., Zhang, P., 2020. Aerosol data assimilation using data from Fengyun-4A, a next-generation geostationary meteorological satellite. Atmospheric environment. 237, 117695.
Xu, D., Shen, F., Min, J., 2020. Effect of background error tuning on assimilating radar radial velocity observations for the forecast of hurricane tracks and intensities. Meteorological Applications. 27, e1820.
Xu, D., Shu, A., Shen, F., 2020. Effects of Clear-Sky Assimilation of GPM Microwave Imager on the Analysis and Forecast of Typhoon “Chan-Hom”. Sensors. 20, 2674.
Xu, D., Shu, A., Shen, F., Min, J., Li, H., Xia, X., 2020. Impacts of multiple radiance data assimilation on the simulation of typhoon chan-hom. Atmosphere. 11, 957.
Shen, F., Xu, D., Min, J., 2019. Effect of momentum control variables on assimilating radar observations for the analysis and forecast for Typhoon Chanthu (2010). Atmospheric Research. 230, 104622.
Xia, X., Min, J., Shen, F., Wang, Y., Yang, C., 2019. Aerosol data assimilation using data from Fengyun-3A and MODIS: application to a dust storm over East Asia in 2011. Advances in Atmospheric Sciences. 36, 1-14.
Xia, X., Min, J., Wang, Y., Shen, F., Yang, C., Sun, Z., 2019. Assimilating Himawari-8 AHI aerosol observations with a rapid-update data assimilation system. Atmospheric Environment. 215, 116866.
Xu, D., Shen, F., Min, J., 2019. Effect of adding hydrometeor mixing ratios control variables on assimilating radar observations for the analysis and forecast of a typhoon. Atmosphere. 10, 415.
Liu, J., Tian, J., Yan, D., Li, C., Yu, F., Shen, F., 2018. Evaluation of Doppler radar and GTS data assimilation for NWP rainfall prediction of an extreme summer storm in northern China: from the hydrological perspective. Hydrology and Earth System Sciences. 22, 4329-4348.
Shen, F., Xu, D., Xue, M., Min, J., 2018. A comparison between EDA-EnVar and ETKF-EnVar data assimilation techniques using radar observations at convective scales through a case study of Hurricane Ike (2008). Meteorology and Atmospheric Physics. 130, 649-666.
Gallo, B.T., Clark, A.J., Jirak, I., Kain, J.S., Weiss, S.J., Coniglio, M., Knopfmeier, K., Correia Jr, J., Melick, C.J., Karstens, C.D., 2017. Breaking new ground in severe weather prediction: The 2015 NOAA/hazardous weather testbed spring forecasting experiment. Weather and Forecasting. 32, 1541-1568.
Shen, F., Xue, M., Min, J., 2017. A comparison of limited‐area 3DVAR and ETKF‐En3DVAR data assimilation using radar observations at convective scale for the prediction of T yphoon S aomai (2006). Meteorological Applications. 24, 628-641.
Shen, F., Min, J., Xu, D., 2016. Assimilation of radar radial velocity data with the WRF Hybrid ETKF–3DVAR system for the prediction of Hurricane Ike (2008). Atmospheric Research. 169, 127-138.
Xu, D., Min, J., Shen, F., Ban, J., Chen, P., 2016. Assimilation of MWHS radiance data from the FY‐3B satellite with the WRF Hybrid‐3DVAR system for the forecasting of binary typhoons. Journal of Advances in Modeling Earth Systems. 8, 1014-1028.
Shen, F., Min, J., 2015. Assimilating AMSU-A radiance data with the WRF Hybrid En3DVAR system for track predictions of Typhoon Megi (2010). Advances in Atmospheric Sciences. 32, 1231-1243.
Kong, F., Xue, M., Jung, Y., Brewster, K., Thomas, K., Wang, Y., Shen, F., Jirak, I., Clark, A., Correia Jr, J., An Overview of CAPS Storm-Scale Ensemble Forecast for the 2015 NOAA HWT Spring Forecasting Experiment.
[1]沈菲菲,闵锦忠,吴乃庚,等.扩展水凝物控制变量的雷达资料同化对台风“天鸽”数值模拟的影响[J].热带气象学报,2023,39(01):23-36.DOI:10.16032/j.issn.1004-4965.2023.003.
[2]祝维聪,闵锦忠,王黎娟,等.2018年7月5日江淮暴雨发生发展机制的模拟及诊断[J].气象科学,2022,42(03):300-310.
[3]黄兴友,陈晓颖,沈菲菲,等.利用WRF和多普勒雷达资料同化对一次江淮地区梅雨降水过程的模拟研究[J].大气科学学报,2022,45(02):225-238.DOI:10.13878/j.cnki.dqkxxb.20200430001.
[4]许冬梅,沈菲菲,李泓,等.新一代静止气象卫星葵花8号的晴空红外辐射率资料同化对台风“天鸽”的预报影响研究[J].海洋学报,2022,44(03):40-52.
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[6]束艾青,许冬梅,李泓,等.FY-3D卫星MWHS-2辐射率资料直接同化对台风“米娜”预报的影响[J].热带海洋学报,2022,41(05):17-28.
[7]沈菲菲,闵锦忠,李泓,等.GPM微波成像仪资料同化对台风“麦德姆”路径预报的影响研究[J].海洋学报,2021,43(10):124-136.
[8]束艾青,魏鸣,武芳,等.2019年7月10日四川一次暴雨过程的数值模拟与诊断分析[J].兰州大学学报(自然科学版),2021,57(04):551-558+568.DOI:10.13885/j.issn.0455-2059.2021.04.016.
[9]张冰,郑媛媛,沈菲菲,等.2017年苏南一次特大暴雨高分辨率模拟及特征分析[J].气象科学,2021,41(03):386-397.
[10]沈艳秋,黄兴友,沈菲菲,等.基于雷达资料同化的飑线过程数值模拟试验研究[J].气象科学,2021,41(01):13-26.
[11]沈菲菲,唐超,许冬梅,等.基于不同背景场条件的雷达资料同化在登陆台风“桑美”中的应用研究[J].海洋学报,2021,43(01):69-81.
[12]张鹏,许冬梅,沈菲菲,等.江淮梅雨峰暴雨的数值模拟与诊断分析[J].兰州大学学报(自然科学版),2020,56(04):527-536.DOI:10.13885/j.issn.0455-2059.2020.04.014.
[13]孙晓蕾,闵锦忠,王仕奇,等.中尺度对流系统的动热力特征及其演变对风垂直切变的响应[J].热带气象学报,2020,36(03):401-415.DOI:10.16032/j.issn.1004-4965.2020.038.
[14]袁海翔,许冬梅,束艾青,等.2016年7月长江中下游一次暴雨过程的诊断分析与数值模拟[J].兰州大学学报(自然科学版),2020,56(03):404-411.DOI:10.13885/j.issn.0455-2059.2020.03.016.
[15]沈菲菲,束艾青,许冬梅,等.多普勒雷达资料同化对北京“7·21”大暴雨过程模拟的影响[J].沙漠与绿洲气象,2020,14(02):50-60.
[16]钱芝颖,鲍艳松,沈菲菲,等.AMSU-A微波资料变分同化对双台风预报的影响研究[J].海洋预报,2019,36(06):9-21.
[17]束艾青,许冬梅,沈菲菲,等.不同控制变量的AMSR2资料同化方法对台风“山神”预报的影响研究[J].海洋预报,2019,36(05):19-29.
[18]钱玲,沈菲菲,许冬梅,等.AMSR2微波成像资料同化对飓风“桑迪”预报的影响研究[J].海洋预报,2019,36(03):9-17.
[19]李秋阳,沈菲菲,许冬梅,等.不同初始场资料对台风“桑美”数值模拟的影响[J].气象科技,2019,47(03):460-468.DOI:10.19517/j.1671-6345.20180309.
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[21]戚佩霓,沈菲菲,寇蕾蕾,等.多普勒雷达资料同化在台风“灿都”(2010)预报中的应用研究[J].热带海洋学报,2019,38(02):20-31.
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[23]寇蕾蕾,王振会,沈菲菲,等.基于小波域高斯尺度混合模型的天气雷达图像高分辨率插值[J].气象学报,2019,77(01):142-153.
[24]郭雅凯,王国杰,沈菲菲,等.两类订正方案在集合均方根滤波土壤湿度同化中的对比研究[J].江苏农业科学,2018,46(12):210-218.DOI:10.15889/j.issn.1002-1302.2018.12.052.
[25]沈菲菲,许冬梅,闵锦忠,等.云尺度雷达资料的混合同化对台风“桑美”的数值模拟研究[J].海洋学报,2018,40(05):48-61.
[26]许冬梅,沈菲菲,闵锦忠,等.基于卫星辐射率资料的两种三维云反演方法对比研究[J].大气科学,2018,42(02):411-420.
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[28]沈菲菲,闵锦忠,许冬梅,等.双多普勒雷达资料同化在飓风“艾克”预报中的应用研究[J].海洋学报,2016,38(11):60-72.
[29]沈菲菲,闵锦忠,许冬梅,等.Hybrid ETKF-3DVAR方法同化多普勒雷达速度观测资料Ⅰ:模拟资料试验[J].大气科学学报,2016,39(01):81-89.DOI:10.13878/j.cnki.dqkxxb.20140210001.
[30]闵锦忠,王修莹,沈菲菲,等.多普勒雷达资料同化对江苏一次飑线过程的数值模拟[J].气象科学,2015,35(03):248-257.
[31]沈菲菲,闵锦忠,陈鹏,等.多普勒雷达资料同化在台风“桑美”预报中的应用研究[J].海洋学报,2015,37(03):25-36.
[32]沈菲菲,闵锦忠,许冬梅,等.WRF-Hybrid背景误差协方差调整在台风同化及预报中的应用研究[J].气象科学,2015,35(02):150-159.