冯杰(Jie Feng)

冯杰

青年研究员

fengjiefj@fudan.edu.cn

021-31248850


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

2018-2019A new measure of ensemble central tendency, 美国国家大气研究中心National Center for Atmospheric Research$10000(主持)

2015-2017Estimation of analysis and forecast error variance,美国国家科学院National Academy of Sciences$140000(参与)

2016-2017A fast statistical tool for observation system experiments,美国国家海洋大气局 National Oceanic and Atmospheric Administration$38000(参与)

2017-2020Advance 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

20207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 ForecastingQuarterly Journal of Royal Meteorological SocietyClimate DynamicsAtmosphereAtmospheric Research


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*, and J. 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 and J. 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. Peña, 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.

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. Feng and 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* and J. 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