馮傑（Jie Feng） 您當前的位置:https://jiefeng-fd.github.io/ 研究興趣/領域 資料同化- (1) 臺風資料同化和預報; (2) 背景誤差方差估計; (3) 局地化的粒子濾波（particle filter）; (4) 多尺度背景協方差局地化 集合預報- (1)初始集合擾動生成; (2) 分析誤差估計; (3) 集合中心化的新算法; (4) 集合敏感性分析; (5)結合AI的集合預報 非線性誤差增長和可預報性- (1) 大氣可預報性; (2) 非線性局部Lyapunov指數和向量方法的發展和應用; (3) 混沌吸引子動力; (4) 多尺度誤差增長 教育背景 2010-2015，中國科學院大氣物理研究所，博士學位，氣象學專業 2006-2010，南京信息工程大學大氣科學學院，學士學位🔉，氣象學專業 研究經歷 2020.12至今，中國沐鸣2，研究員 2020.7-2020.10，美國俄克拉荷馬大學（University of Oklahoma）氣象系，項目研究員 2017.7-2020.7💍，美國俄克拉荷馬大學（University of Oklahoma）氣象系🥷🏼，博士後 2015.8-2017.6，美國國家海洋大氣局全球系統實驗室（NOAA/GSL），博士後 承擔課題 主持 2024.01-2027.12，國家自然科學基金面上項目🧇🙍🏻，“同化分析場誤差的客觀定量估計及其對改進集合預報初始擾動的作用”（主持） 2022-2025，國家自然科學基金青年項目，“多空間尺度上集合預報擾動對控製預報誤差的采樣性能的評估及建模分析”（主持） 2022-2023，中國科學院大氣物理研究所開放課題，“風雲四號衛星紅外高光譜加密觀測對臺風同化和預測的影響” （主持） 2021🧞♀️，沐鸣2平台原創科研個性化支持項目，“風雲四號衛星高光譜加密觀測在高分辨率模式中的同化及其對臺風分析和預報的影響”（主持） 2018-2019，A new measure of ensemble central tendency, 美國國家大氣研究中心National Center for Atmospheric Research（主持） 參與 2015-2017，Estimation of analysis and forecast error variance，美國國家科學院National Academy of Sciences（參與） 2016-2017，A fast statistical tool for observation system experiments，美國國家海洋大氣局 National Oceanic and Atmospheric Administration（參與） 2017-2020，Advance the assimilation of radar and other convective and mesoscale observations，美國俄克拉荷馬大學University of Oklahoma（參與） 2014-2018🦵🏿，非線性局部Lyapunov向量方法在集合預報中的應用，中國國家自然科學基金委員會面上項目（參與） 教學經歷 《可預報性，資料同化和集合預報》⬆️， 研究生（主講） 《數值天氣預報》🧑🏿🦰🦸🏼♂️， 本科生（參與） 《大氣科學模擬和預測研究進展》，研究生（參與） 召集會議 2024.6.23-6.28, 第21屆亞太地球科學學會年會AOGS，專題AS86 “Ensemble Modeling and Prediction of High-impact, Multi-scale Weather to Decadal Events”召集人 https://www.asiaoceania.org/aogs2024/public.asp?page=home.asp 2023.7.29-8.5, 第20屆亞太地球科學學會年會AOGS，專題AS38 “Ensemble Modeling and Prediction of High-impact, Multi-scale Weather to Decadal Events”召集人 https://www.asiaoceania.org/aogs2022/public.asp?page=sessions_and_conveners.asp. 2022.8.1-8.5, 第19屆亞太地球科學學會年會，專題AS21“Ensemble Modeling of High-impact, Multi-scale Weather to Decadal Phenomena”召集人 https://www.asiaoceania.org/aogs2022/ public.asp?page=sessions_and_conveners.asp. 2021.7.9-7.11, 第七屆青年地學論壇👷🏽♀️，專題11.2“數值模式與資料同化”召集人，貴陽，中國 http://www.qndxlt.com/theme.html 學術兼職 2024.2至今，歐洲地球科學聯合會EGU雜誌Nonlinear Processes in Geophysics（NPG）的編輯 2024.1至今，Remote Sensing雜誌專刊《Remote Sensing Applications for Synoptic and Mesoscale Dynamics and Forecast》編輯https://www.mdpi.com/journal/geomatics/special_issues/1H9D0AOYEL 2022.10, 擔任國家氣象中心主辦，世界氣象組織南京區域培訓中心承辦的面向“一帶一路”災害性天氣預報業務技術培訓班授課專家🧑🏽✈️，課程題目為“Ensemble Forecasting of High-impact Weather and Climate Events”⌛️。 2021.9-2023.12，Remote Sensing雜誌專刊《Remote Sensing for the Improvement of High-Impact Weather Analyses and Forecasts》編輯 https://www.mdpi.com/journal/remotesensing/special_issues/weather_analysis 2016年至今，美國氣象學會會員 2015年至今，多家SCI期刊審稿人：Geoscientific Model Development, Journal of Advances in Modeling Earth Systems, Journal of Geophysical Research, Monthly Weather Review, Atmospheric Research, Advances in Atmospheric Sciences, Weather and Forecasting, Quarterly Journal of Royal Meteorological Society, Climate Dynamics, Atmosphere, , 等 獲獎情況 2024年9月☺️，地球系統數值模擬教學團隊成員👩🏼，入選為全國氣象教學團隊 2024年8月，臺風團隊成員，獲評沐鸣2平台“鐘揚式”科研團隊稱號 2024年5月，獲評沐鸣2本科畢業生“我心目中的好老師”稱號 2022年，Journal of Meteorological Research 優秀審稿人 2021年，上海領軍人才（青年） 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) 2021 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 2020 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. 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., 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. 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🕥，更新時間：2024/09/29 |