冯杰 - 复旦大学 - 大气与海洋科学系、大气科学研究院

个人简介

教育背景 2010-2015，中国科学院大气物理研究所，博士学位，气象学专业 2006-2010，南京信息工程大学大气科学学院，学士学位，气象学专业研究经历 2020.12至今，中国复旦大学大气与海洋科学系，研究员 2020.7-2020.10，美国俄克拉荷马大学（University of Oklahoma）气象系，项目研究员 2017.7-2020.7，美国俄克拉荷马大学（University of Oklahoma）气象系，博士后 2015.8-2017.6，美国国家海洋大气局全球系统实验室（NOAA/GSL），博士后获奖情况 2022年，Journal of Meteorological Research 优秀审稿人 2021年，上海领军人才（青年） 2013年，全国博士研究生学术论坛优秀论文二等奖，中国南京

研究领域

资料同化- (1) 台风资料同化和预报; (2) 背景误差方差估计; (3) 局地化的粒子滤波（particle filter）; (4) 多尺度背景协方差局地化集合预报- (1)初始集合扰动生成; (2) 分析误差估计; (3) 集合中心化的新算法; (4) 集合敏感性分析非线性误差增长和可预报性- (1) 大气可预报性; (2) 非线性局部Lyapunov指数和向量方法的发展和应用; (3) 混沌吸引子动力; (4) 多尺度误差增长

近期论文

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Feng, J., J. Wang*, G. Dai, F. Zhou, W. Duan, 2023: Spatiotemporal estimation of analysis errors in the operational global data assimilation system at the China Meteorological Administration using a modified SAFE method. Quart. J. Roy. Meteor. Soc., 149:230DOI: 10.1002/qj.4507 Feng, J., X. Qin*, C. Wu, P. Zhang, L. Yang, X. S. Shen, W. Han, Y. Z. Liu, 2022: Improving typhoon predictions by assimilating the retrieval of atmospheric temperature profiles from the FengYun-4A's Geostationary Interferometric Infrared Sounder (GIIRS), Atmospheric Research, 280, 106391, ISSN 0169-8095, https://doi.org/10.1016/j.atmosres.2022.106391. Liu, D., C. Huang, J. Feng*, 2022: Influence of Assimilating Wind Profiling Radar Observations in Distinct Dynamic Instability Regions on the Analysis and Forecast of an Extreme Rainstorm Event in Southern China. Remote Sens.14, 3478. Hou, Z., Li, J., Ding, R., and Feng, J., 2022: Investigating decadal variations of the seasonal predictability limit of sea surface temperature in the tropical Pacific. Clim Dyn.https://doi.org/10.1007/s00382-022-06179-3 Jankov, I.*, Z. Toth, and J. Feng, 2022: Initial-Value vs. Model-Induced Forecast Error: A New Perspective. Meteorology, 1(4), 377-393, https://doi.org/10.3390/meteorology1040024. (Editor’s Choice, https://www.mdpi.com/journal/meteorology/editors_choice) Zhang, J., J. Feng*, H. Li, Y. J. Zhu, X. F. Zhi, and F. Zhang, 2021: Unified ensemble mean forecasting of tropical cyclones based on the feature-oriented mean method, Wea. Forecasting, 36(6), 1945–1959. DOI: 10.1175/WAF-D-21-0062.1. Li, X., J. Feng, R. Q. Ding, J. P. Li, 2021: Application of Backward Nonlinear Local Lyapunov Exponent Method to Assessing the Relative Impacts of Initial Condition and Model Errors on Local Backward Predictability. Adv. Atmos. Sci., 38(9), 1486?1496. https://doi.org/10.1007/s00376-021-0434-2. Feng, J.and X. G. Wang, 2021: Impact of increasing horizontal and vertical resolution of the hurricane WRF model on the analysis and prediction of Hurricane Patricia (2015). Mon. Wea. Rev., 149(2), 419–441. DOI: 10.1175/MWR-D-20-0144.1 Feng, J., J. Zhang, Z. Toth, M. Pena, and S. Ravela, 2020: A New Measure of Ensemble Central Tendency. Wea. Forecasting, 35(3), 879–889. Feng, J., X. G. Wang, and J. Poterjoy, 2020: A comparison of two local moment matching nonlinear filters: local particle filter (LPF) and local nonlinear ensemble transform filter (LNETF). Mon. Wea. Rev., 148(11), 4377–4395. https://doi.org/10.1175/MWR-D-19-0368.1. Feng, J.*, Z. Toth, and M. Pena, 2020: Partition of Analysis and Forecast Error Variance into Growing and Decaying Components. Quart. J. Roy. Meteor. Soc., 146(728), 1302-1321. Feng, J. and X. G. Wang, 2019: Impact of assimilating upper-level dropsonde observations collected during the TCI field campaign on the prediction of intensity and structure of Hurricane Patricia (2015), Mon. Wea. Rev., 147, 3069–3089. Feng, J., J. P. Li, J. Zhang, D. Q. Liu, and R. Q. Ding, 2019: The relationship between deterministic and ensemble mean forecast errors revealed by global and local attractor radii. Adv. Atmos. Sci., 36(3), 271–278. Feng, J., R. Q. Ding, J. P. Li, and Z. Toth, 2018: Comparison of nonlinear local Lyapunov vectors and bred vectors in estimating the spatial distribution of error growth. J. Atmos. Sci., 75, 1073–1087. Hou, Z., Li, J., Ding, R., Karamperidou, C., Duan, W., Liu, T., & Feng, J., 2018. Asymmetry of the predictability limit of the warm ENSO phase. Geophysical Research Letters, 45. Zhong, Q., L. Zhang, J. Li, R. Ding, and J. Feng, 2018: Estimating the predictability limit of tropical cyclone tracks over the western North Pacific using observational data. Adv. Atmos. Sci., 35(12): 1491-1504. Li, J. P.,J. Feng, and R. Q. Ding 2018: Attractor Radius and Global Attractor Radius and their Application to the Quantification of Predictability Limits. Clim. Dyn., 51, 2359–2374, https://doi.org/10.1007/s00382-017-4017-y. Hou, Z., J. P. Li, R. Q. Ding and J. Feng, 2018: The application of nonlinear local Lyapunov vectors to the Zebiak–Cane model and their performance in ensemble prediction. Clim. Dyn., 51, 283–304. Feng, J.*, Z. Toth, and M. Pe?a, 2017: Spatial Extended Estimates of Analysis and Short-Range Forecast Error Variances. Tellus A, 69:1, 1325301. Huai, X., J. P. Li, R. Q. Ding, J. Feng and D. Q. Liu, 2017: Quantifying local predictability of the Lorenz system using the nonlinear local Lyapunov exponent, Atmospheric and Oceanic Science Letters, 10:5, 372-378. Feng, J., R. Q. Ding, J. P. Li and D. Q. Liu, 2016: Comparison of nonlinear local Lyapunov vectors with bred vectors, random perturbations and ensemble transform Kalman filter strategies in a barotropic model. Adv. Atmos. Sci., 33(9), 1036–1046. Ding, R. Q., J. P. Li, F. Zheng, J. Feng and D. Q. Liu, 2016: Estimating the limit of decadal-scale climate predictability using observational data. Clim. Dyn., 46(5), 1563–1580. Liu, D. Q.,J. Feng, J. P. Li and J. C. Wang, 2015: The impacts of time-step size and spatial resolution on the prediction skill of the GRAPES-MESO forecast system.Chinese Journal of Atmos. Sci., 39(6), 1165–1178. Liu, D. Q., R. Q. Ding, J. P. Li andJ. Feng, 2015: Preliminary application of the nonlinear local Lyapunov exponent to target observation. Chinese Journal of Atmos. Sci., 39(2), 329?337. Feng, J., R. Q. Ding, D. Q. Liu and J. P. Li, 2014: The Application of Nonlinear Local Lyapunov Vectors to Ensemble Predictions in the Lorenz Systems. J. Atmos. Sci., 71, 3554–3567.

学术兼职

2024.1-，Remote Sensing杂志专刊《Remote Sensing Applications for Synoptic and Mesoscale Dynamics and Forecast》编辑https://www.mdpi.com/journal/geomatics/special_issues/1H9D0AOYEL 2022.10, 担任国家气象中心主办，世界气象组织南京区域培训中心承办的面向“一带一路”灾害性天气预报业务技术培训班授课专家，课程题目为“Ensemble Forecasting of High-impact Weather and Climate Events”。 2021.9-2023.12，Remote Sensing杂志专刊《Remote Sensing for the Improvement of High-Impact Weather Analyses and Forecasts》编辑https://www.mdpi.com/journal/remotesensing/special_issues/weather_analysis 2016年至今，美国气象学会会员 2015年至今，多家SCI期刊审稿人：Geoscientific Model Development, Journal of Advances in Modeling Earth Systems, Journal of Geophysical Research, Monthly Weather Review, Advances in Atmospheric Sciences, Weather and Forecasting, Quarterly Journal of Royal Meteorological Society, Climate Dynamics, Atmosphere, Atmospheric Research, 等