冯杰
青年研究员
fengjiefj@fudan.edu.cn

个人主页：http://jiefeng-fd.github.io/



研究兴趣
资料同化
- 基于Hurricane WRF模式的集合变分同化系统应用和发展
- 静态背景误差方差估计
- 局地化的粒子滤波（particle filter）
- 多尺度背景协方差局地化
集合预报
- 初始集合扰动生成
- 分析误差估计
- 集合中心化的新算法
非线性误差增长和可预报性
- 非线性局部Lyapunov指数和向量方法的发展和应用
- 大气可预报性期限
- 混沌吸引子动力

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，青年研究员
2020.4-2020.10，美国俄克拉荷马大学（University of Oklahoma）气象系，项目研究员
2017.7-2020.4，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

承担课题
2018-2019，A new measure of ensemble central tendency, 美国国家大气研究中心National Center for Atmospheric Research，$10000（主持）
2015-2017，Estimation of analysis and forecast error variance，美国国家科学院National Academy of Sciences，$140000（参与）
2016-2017，A fast statistical tool for observation system experiments，美国国家海洋大气局 National Oceanic and Atmospheric Administration，$38000（参与）
2017-2020，Advance the assimilation of radar and other convective and mesoscale observations，美国俄克拉荷马大学University of Oklahoma，$150000（参与）
2014-2018，非线性局部Lyapunov向量方法在集合预报中的应用，中国国家自然科学基金委员会面上项目，￥800000（参与）

学术兼职
2020年7月至今，International Journal of Atmospheric and Oceanic Sciences杂志编委
2016年至今，美国气象学会会员
2015年至今，多家SCI期刊审稿人：Weather and Forecasting，Quarterly Journal of Royal Meteorological Society，Climate Dynamics，Atmosphere，Atmospheric Research等

获奖情况
2013年，全国博士研究生学术论坛优秀论文二等奖，中国南京

发表论文
（本人名称加粗，通讯作者加*号）
2020
Feng, J.and X. G. Wang*, 2020: Impact of increasing horizontal and vertical resolution of the hurricane WRF model on the analysis and prediction of Hurricane Patricia (2015).Mon. Wea. Rev., 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., 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.
2019
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.
2018
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*, andJ. Feng, 2018: Estimating the predictability limit of tropical cyclone tracks over the western North Pacific using observational data.Adv. Atmos. Sci., in press.
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 andJ. Feng, 2018: The application of nonlinear local Lyapunov vectors to the Zebiak–Cane model and their performance in ensemble prediction.Clim. Dyn.
2017
Feng, J.*, Z. Toth, and M. Pe?a, 2017: Spatial Extended Estimates of Analysis and Short-Range Forecast Error Variances.Tellus A, 69:1, **.
Huai, X., J. P. Li*, R. Q. Ding,J. Fengand 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.
2016
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. Fengand D. Q. Liu, 2016: Estimating the limit of decadal-scale climate predictability using observational data.Clim. Dyn., 46(5), 1563–1580.
2015
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.
2014
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.


#以上信息由本人提供，更新时间：2020/12/14