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，担任《暴雨灾害》、《海洋开发与管理》等期刊编委。

• 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：

2026

Shen, F., J. Chen, N. Wu, J. Min, Q. Feng, A. Shu, and T. Song, 2026: Improving short-term analyses and forecasts of an EF2 tornadic supercell through EnKF X-band phased array radar assimilation. J. Geophys. Res. Atmos., 131, e2026JD046951.

Shen, F., and Coauthors, 2026: Radar reflectivity assimilation method based on adaptive hydrometeor phase identification algorithm using dual-polarization radar and its impacts on severe weather prediction. J. Geophys. Res. Atmos., 131, e2025JD045344.

Xu, D., R. Zhao, W. Sun, J. Min, Z. He, and F. Shen, 2026: Enhancing wind forecasts through assimilation of maximum wind observations in WRF-3DVar: A comparison with conventional AWS data for a severe squall line. Atmos. Res., 333, 108733.

Xu, D., L. Yi, J. Luo, Z. He, Y. Guo, and F. Shen, 2026: Assessment of observation errors in AWS data assimilation: Application to a thunderstorm gale event forecast. Atmos. Res., 331, 108653.

Shen, F., X. Yuan, H. Fei, C. Shao, D. Xu, and Q. Sun, 2026: The impact of assimilating FY-3E MWHS-2 within 3DEnVar with surface humidity control variable on the forecast of Typhoon Doksuri. Atmos. Res., 327, 108394.

杨梦兮，刘梅，和沈菲菲，2026：江淮东部梅雨期极端小时降水雨滴谱统计特征. 高原气象, 网络首发，1–14.

骆鼎之，许冬梅，诸葛小勇，等，2026：基于随机森林算法的FY-4A与CloudSat卫星数据融合云分类及高度反演. 大气科学, 50(3), 964–982.

邵长亮，侯江生，郭雅凯，等，2026：基于数值模式的气象观测系统评估方法研究进展. 气象科技, 54(2), 163–177.

马云飞，常大帅，徐静，等，2026：2015—2021年河北北部降水中心特征及成因分析. 气象水文海洋仪器, 43(1), 48–50.

梅珺一，许冬梅，刘德强，等，2026：强台风“小犬”（2314）降水特征诊断及模拟分析. 海洋预报, 43(1), 67–78.

2025

Song, L., F. Shen, Z. He, L. Yang, D. Xu, A. Shu, and J. Chen, 2025: Indirect assimilation of radar reflectivity data with an adaptive hydrometer retrieval scheme for severe short-term weather forecasts. Nat. Hazards Earth Syst. Sci., 25, 3905–3920.

Shen, F., J. Zhang, S. Cheng, C. Pei, D. Xu, and X. Yuan, 2025: Impact of FY-3D MWRI and MWHS-2 radiance data assimilation in WRFDA system on forecasts of Typhoon Muifa. Remote Sens., 17, 3035.

Xu, D., H. Chen, Y. Chen, D. Liu, F. Ge, X. Ye, Q. Sun, and F. Shen, 2025: The impact of assimilating FY-3D Microwave Humidity Sounder II radiance data on the analysis and forecast of two advection fog cases. Atmos. Res., 323, 108162.

Ye, X.-Y., F.-F. Shen, H.-Y. Fei, Q.-L. Sun, A.-Q. Shu, S. Wan, and H. Chen, 2025: The study of thermodynamic mechanisms of advection-cooled sea fogs for two cases based on the WRF model. Front. Earth Sci., 13, 1627881.

Shen, F., A. Shu, J. Min, Z. Wu, Y. Wang, D. Xu, J. Chen, and S. Wan, 2025: Assimilation of dual-pol radar KDP observations with the GSI ensemble Kalman filter for the analysis and prediction of a squall line. J. Geophys. Res. Atmos., 130, e2024JD041933.

Shen, F., and Coauthors, 2025: Data assimilation of weather radar reflectivity with a blending hydrometer retrieval scheme for two convective storms in East China. Atmos. Res., 321, 108110.

Xu, D., T. Song, H. Li, J. Min, J. Luo, and F. Shen, 2025: Four-dimensional variational assimilation of precipitation data with the large-scale analysis constraint in the 21.7 extreme rainfall event in China. J. Geophys. Res. Atmos., 130, e2024JD042522.

Shen, F., L. Song, J. Min, Z. He, A. Shu, D. Xu, and J. Chen, 2025: Impact of assimilating pseudo-observations derived from the “Z-RH” relation on analyses and forecasts of a strong convection case. Adv. Atmos. Sci., 42, 1010–1025.

Shu, A., F. Shen, H. Li, J. Min, J. Luo, D. Xu, and J. Chen, 2025: Impacts of assimilating polarimetric radar KDP observations with an ensemble Kalman filter on analyses and predictions of a rainstorm associated with Typhoon Hato (2017). Quart. J. Roy. Meteor. Soc., 151, e4943.

Shu, A., D. Xu, J. Min, L. Luo, H. Fei, F. Shen, X. Guan, and Q. Sun, 2025: The impacts of assimilating radar reflectivity for the analysis and forecast of “21.7” Henan extreme rainstorm within the Gridpoint Statistical Interpolation–Ensemble Kalman Filter system: Issues with updating model state variables. Remote Sens., 17, 501.

Xu, D., J. Chen, H. Li, F. Shen, and Z. He, 2025: The impact of radar radial velocity data assimilation using variational and EnKF systems on the forecast of Super Typhoon Hato (2017) with rapid intensification. Atmos. Res., 314, 107748.

李昌昕，许冬梅，李泓，等，2025：南通一次飑线大风过程数值模拟及诊断分析. 大气科学学报, 48(4), 686–704.

2024

Zhang, X., D. Xu, F. Shen, and J. Min, 2024: Impacts of offline nonlinear bias correction schemes using machine learning technology on the all-sky assimilation of cloud-affected infrared radiances. J. Adv. Model. Earth Syst., 16, e2024MS004281.

Shen, F., A. Shu, Z. Liu, H. Li, L. Jiang, T. Zhang, and D. Xu, 2024: Assimilating FY-4A AGRI radiances with a channel-sensitive cloud detection scheme for the analysis and forecasting of multiple typhoons. Adv. Atmos. Sci., 41, 937–958.

Shen, F., X. Yuan, H. Li, D. Xu, J. Luo, A. Shu, and L. Huang, 2024: Improving Typhoon Muifa (2022) forecasts with FY-3D and FY-3E MWHS-2 satellite data assimilation under clear-sky conditions. Remote Sens., 16, 2614.

Wan, S., F. Shen, J. Chen, L. Liu, D. Dong, and Z. He, 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., L. Huang, J. Min, L. Jiang, F. Shen, and Y. Lei, 2024: Impacts of the all-sky assimilation of FY-3D and FY-3E MWHS-2 radiances on analyses and forecasts of Typhoon Muifa (2022). Atmos. Res., 310, 107646.

Xu, D., X. Zhang, J. Min, and F. Shen, 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. J. Geophys. Res. Atmos., 129, e2024JD040784.

Zhang, X., D. Xu, J. Min, H. Li, F. Shen, and Y. Lei, 2024: A machine learning-based bias correction scheme for the all-sky assimilation of AGRI infrared radiances in a regional OSSE framework. IEEE Trans. Geosci. Remote Sens., 62, 1–14.

2023

Bian, H., J. Min, and F. Shen, 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., L. Song, Z. He, D. Xu, J. Chen, and L. Huang, 2023: Impacts of adding hydrometeor control variables on the radar reflectivity data assimilation for the 6–8 August 2018 mesoscale convective system case. Atmos. Res., 295, 107012.

Shu, A., F. Shen, L. Jiang, T. Zhang, and D. Xu, 2023: Assimilation of clear-sky FY-4A AGRI radiances within the WRFDA system for the prediction of a landfalling Typhoon Hagupit (2020). Atmos. Res., 283, 106556.

Song, T., D. Xu, F. Shen, A. Shu, and L. Song, 2023: Forecast and analysis of a rainstorm case in East China based on the blown-up theory. Atmosphere, 14, 1508.

Xu, D., X. Zhang, Z. Liu, and F. Shen, 2023: All-sky infrared radiance data assimilation of FY-4A AGRI with different physical parameterizations for the prediction of an extremely heavy rainfall event. Atmos. Res., 293, 106898.

Zhang, X., D. Xu, X. Li, and F. Shen, 2023: Nonlinear bias correction of the FY-4A AGRI infrared radiance data based on the random forest. Remote Sens., 15, 1809.

Yang, G., J. Min, and F. Shen, 2023: Application of radar radial velocity data assimilation based on different momentum control variables in forecasting Typhoon Kompasu. Atmosphere, 14, 39.

沈菲菲，闵锦忠，吴乃庚，等，2023：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. 热带气象学报, 39(1), 23–36.

2022

Shen, F., L. Song, H. Li, Z. He, and D. Xu, 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. Atmos. Res., 280, 106415.

Shu, A., D. Xu, S. Zhang, F. Shen, X. Zhang, and L. Song, 2022: Impacts of multi-source microwave satellite radiance data assimilation on the forecast of Typhoon Ampil. Atmosphere, 13, 1427.

Song, L., F. Shen, C. Shao, A. Shu, and L. Zhu, 2022: Impacts of 3DEnVar-based FY-3D MWHS-2 radiance assimilation on numerical simulations of landfalling Typhoon Ampil (2018). Remote Sens., 14, 6037.

Sun, W., Z. Liu, G. Song, Y. Zhao, S. Guo, F. Shen, and X. Sun, 2022: Improving wind speed forecasts at wind turbine locations over northern China through assimilating nacelle winds with WRFDA. Wea. Forecasting, 37, 545–562.

Xu, D., G. Yang, Z. Wu, F. Shen, H. Li, and D. Zhai, 2022: Evaluate radar data assimilation in two momentum control variables and the effect on the forecast of southwest China vortex precipitation. Remote Sens., 14, 3460.

Zhang, X., D. Xu, R. Liu, and F. Shen, 2022: Impacts of FY-4A AGRI radiance data assimilation on the forecast of Super Typhoon In-Fa (2021). Remote Sens., 14, 4718.

祝维聪，闵锦忠，王黎娟，等，2022：2018年7月5日江淮暴雨发生发展机制的模拟及诊断. 气象科学, 42(3), 300–310.

黄兴友，陈晓颖，沈菲菲，等，2022：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. 大气科学学报, 45(2), 225–238.

许冬梅，沈菲菲，李泓，等，2022：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. 海洋学报, 44(3), 40–52.

许冬梅，束艾青，李泓，等，2022：FY-2G云导风资料同化在台风“天鸽”数值预报中的应用. 海洋预报, 39(1), 56–66.

束艾青，许冬梅，李泓，等，2022：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. 热带海洋学报, 41(5), 17–28.

2021

Shen, F., J. Min, H. Li, D. Xu, A. Shu, D. Zhai, Y. Guo, and L. Song, 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., A. Shu, H. Li, D. Xu, and J. Min, 2021: Assimilation of Himawari-8 imager radiance data with the WRF-3DVAR system for the prediction of Typhoon Soudelor. Nat. Hazards Earth Syst. Sci., 21, 1569–1582.

Shen, F., D. Xu, H. Li, and R. Liu, 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. Meteor. Appl., 28, e1967.

Shen, F., D. Xu, H. Li, J. Min, and R. Liu, 2021: Assimilation of GPM Microwave Imager radiance data with the WRF hybrid 3DEnVar system for the prediction of Typhoon Chan-hom (2015). Atmos. Res., 251, 105422.

Xu, D., Z. Liu, S. Fan, M. Chen, and F. Shen, 2021: Assimilating all-sky infrared radiances from Himawari-8 using the 3DVar method for the prediction of a severe storm over North China. Adv. Atmos. Sci., 38, 661–676.

Xu, D., F. Shen, J. Min, and A. Shu, 2021: Assimilation of GPM Microwave Imager radiance for track prediction of typhoon cases with the WRF hybrid En3DVAR system. Adv. Atmos. Sci., 38, 983–993.

Xu, D., A. Shu, H. Li, F. Shen, Q. Li, and H. Su, 2021: Effects of assimilating clear-sky FY-3D MWHS2 radiance on the numerical simulation of Tropical Storm Ampil. Remote Sens., 13, 2873.

Xu, D., X. Zhang, H. Li, H. Wu, F. Shen, A. Shu, Y. Wang, and X. Zhuang, 2021: Evaluation of the simulation of Typhoon Lekima (2019) based on different physical parameterization schemes and FY-3D satellite MWHS-2 data assimilation. Remote Sens., 13, 4556.

沈菲菲，闵锦忠，李泓，等，2021：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. 海洋学报, 43(10), 124–136.

束艾青，魏鸣，武芳，等，2021：2019年7月10日四川一次暴雨过程的数值模拟与诊断分析. 兰州大学学报（自然科学版）, 57(4), 551–558+568.

张冰，郑媛媛，沈菲菲，等，2021：2017年苏南一次特大暴雨高分辨率模拟及特征分析. 气象科学, 41(3), 386–397.

沈艳秋，黄兴友，沈菲菲，等，2021：基于雷达资料同化的飑线过程数值模拟试验研究. 气象科学, 41(1), 13–26.

沈菲菲，唐超，许冬梅，等，2021：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. 海洋学报, 43(1), 69–81.

2020

Shen, F., D. Xu, J. Min, Z. Chu, and X. Li, 2020: Assimilation of radar radial velocity data with the WRF hybrid 4DEnVar system for the prediction of Hurricane Ike (2008). Atmos. Res., 234, 104771.

Xia, X., J. Min, F. Shen, Y. Wang, D. Xu, C. Yang, and P. Zhang, 2020: Aerosol data assimilation using data from Fengyun-4A, a next-generation geostationary meteorological satellite. Atmos. Environ., 237, 117695.

Xu, D., F. Shen, and J. Min, 2020: Effect of background error tuning on assimilating radar radial velocity observations for the forecast of hurricane tracks and intensities. Meteor. Appl., 27, e1820.

Xu, D., A. Shu, and F. Shen, 2020: Effects of clear-sky assimilation of GPM Microwave Imager on the analysis and forecast of Typhoon Chan-Hom. Sensors, 20, 2674.

Xu, D., A. Shu, F. Shen, J. Min, H. Li, and X. Xia, 2020: Impacts of multiple radiance data assimilation on the simulation of Typhoon Chan-Hom. Atmosphere, 11, 957.

张鹏，许冬梅，沈菲菲，等，2020：江淮梅雨锋暴雨的数值模拟与诊断分析. 兰州大学学报（自然科学版）, 56(4), 527–536.

孙晓蕾，闵锦忠，王仕奇，等，2020：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. 热带气象学报, 36(3), 401–415.

袁海翔，许冬梅，束艾青，等，2020：2016年7月长江中下游一次暴雨过程的诊断分析与数值模拟. 兰州大学学报（自然科学版）, 56(3), 404–411.

沈菲菲，束艾青，许冬梅，等，2020：多普勒雷达资料同化对北京“7·21”大暴雨过程模拟的影响. 沙漠与绿洲气象, 14(2), 50–60.

2019

Shen, F., D. Xu, and J. Min, 2019: Effect of momentum control variables on assimilating radar observations for the analysis and forecast for Typhoon Chanthu (2010). Atmos. Res., 230, 104622.

Xia, X., J. Min, F. Shen, Y. Wang, and C. Yang, 2019: Aerosol data assimilation using data from Fengyun-3A and MODIS: Application to a dust storm over East Asia in 2011. Adv. Atmos. Sci., 36, 1–14.

Xia, X., J. Min, Y. Wang, F. Shen, C. Yang, and Z. Sun, 2019: Assimilating Himawari-8 AHI aerosol observations with a rapid-update data assimilation system. Atmos. Environ., 215, 116866.

Xu, D., F. Shen, and J. Min, 2019: Effect of adding hydrometeor mixing ratios control variables on assimilating radar observations for the analysis and forecast of a typhoon. Atmosphere, 10, 415.

钱芝颖，鲍艳松，沈菲菲，等，2019：AMSU-A微波资料变分同化对双台风预报的影响研究. 海洋预报, 36(6), 9–21.

束艾青，许冬梅，沈菲菲，等，2019：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. 海洋预报, 36(5), 19–29.

钱玲，沈菲菲，许冬梅，等，2019：AMSR2微波成像资料同化对飓风“桑迪”预报的影响研究. 海洋预报, 36(3), 9–17.

李秋阳，沈菲菲，许冬梅，等，2019：不同初始场资料对台风“桑美”数值模拟的影响. 气象科技, 47(3), 460–468.

李超，沈菲菲，许冬梅，等，2019：超强台风“Saomai”的数值模拟及诊断分析. 陕西气象, 2019(3), 8–17.

戚佩霓，沈菲菲，寇蕾蕾，等，2019：多普勒雷达资料同化在台风“灿都”(2010)预报中的应用研究. 热带海洋学报, 38(2), 20–31.

薛文博，沈菲菲，王琛，等，2019：不同边界层方案对台风灿都路径和强度模拟的影响. 陕西气象, 2019(2), 13–18.

寇蕾蕾，王振会，沈菲菲，等，2019：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. 气象学报, 77(1), 142–153.

2018

Liu, J., J. Tian, D. Yan, C. Li, F. Yu, and F. Shen, 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. Hydrol. Earth Syst. Sci., 22, 4329–4348.

Shen, F., D. Xu, M. Xue, and J. Min, 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). Meteorol. Atmos. Phys., 130, 649–666.

沈菲菲，许冬梅，闵锦忠，等，2018：云尺度雷达资料的混合同化对台风“桑美”的数值模拟研究. 海洋学报, 40(5), 48–61.

许冬梅，沈菲菲，闵锦忠，等，2018：基于卫星辐射率资料的两种三维云反演方法对比研究. 大气科学, 42(2), 411–420.

2017

Shen, F., M. Xue, and J. Min, 2017: A comparison of limited-area 3DVAR and ETKF-En3DVAR data assimilation using radar observations at convective scale for the prediction of Typhoon Saomai (2006). Meteor. Appl., 24, 628–641.

陈鹏，唐红昇，裴向杰，等，2017：省级气象云资源管理平台设计与应用. 气象科技, 45(5), 949–954.

2016

Shen, F., J. Min, and D. Xu, 2016: Assimilation of radar radial velocity data with the WRF hybrid ETKF–3DVAR system for the prediction of Hurricane Ike (2008). Atmos. Res., 169, 127–138.

Xu, D., J. Min, F. Shen, J. Ban, and P. Chen, 2016: Assimilation of MWHS radiance data from the FY-3B satellite with the WRF hybrid-3DVAR system for the forecasting of binary typhoons. J. Adv. Model. Earth Syst., 8, 1014–1028.

沈菲菲，闵锦忠，许冬梅，等，2016：双多普勒雷达资料同化在飓风“艾克”预报中的应用研究. 海洋学报, 38(11), 60–72.

沈菲菲，闵锦忠，许冬梅，等，2016：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. 大气科学学报, 39(1), 81–89.

2015

Shen, F., and J. Min, 2015: Assimilating AMSU-A radiance data with the WRF hybrid En3DVAR system for track predictions of Typhoon Megi (2010). Adv. Atmos. Sci., 32, 1231–1243.

闵锦忠，王修莹，沈菲菲，等，2015：多普勒雷达资料同化对江苏一次飑线过程的数值模拟. 气象科学, 35(3), 248–257.

沈菲菲，闵锦忠，陈鹏，等，2015：多普勒雷达资料同化在台风“桑美”预报中的应用研究. 海洋学报, 37(3), 25–36.

沈菲菲，闵锦忠，许冬梅，等，2015：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. 气象科学, 35(2), 150–159.

 

  

 发明专利：

       沈菲菲,等. 一种基于雷达图像与再分析数据融合的短时降水预测方法[P]. 中国: CN120337179A, 2025-07-18.

沈菲菲, 等. 一种双参方案下基于雨滴质量权重平均直径的偏振雷达资料集合同化方法[P]. 中国: CN120104948A, 2025-06-06.

许冬梅, 张雪薇, 沈菲菲, 等. 一种基于天气尺度和天气背景依赖的卫星资料全空同化方法[P]. 江苏省: CN119149894A, 2024-12-17.

江杨, 袁松, 卞慧敏, 邱学兴, 许冬梅, 叶金印, 刘琳, 沈菲菲, 何志新, 谢晨波. 一种台风风场反演方法和系统[P]. 安徽省: CN118707528A, 2024-09-27.

沈菲菲, 等. 一种基于双偏振雷达资料的水凝物和水汽反演方法[P]. 江苏省: CN117706559B, 2024-05-03.

何志新, 叶金印, 邱学兴, 沈菲菲等. 一种融合温度判定与背景依赖的水凝物反演方法和系统[P]. 安徽省: CN117706512B, 2024-05-10.

沈菲菲,等. 一种双偏振雷达资料EnKF直接同化方法[P]. 江苏省: CN117686981A, 2024-03-12.

沈菲菲, 等. 一种面向资料同化的S波段双偏振雷达质量控制方法[P]. 江苏省: CN116430390B, 2023-08-22.

李超, 彭小燕, 沈菲菲. 一种基于气象预报的降水监测装置[P]. 江苏省: CN216696737U, 2022-06-07.