基本信息

周菲凡 女 博导 大气物理研究所
电子邮件:zff@mail.iap.ac.cn
通信地址:北京市朝阳区华严里40号中国科学院大气物理研究所LACS
邮政编码:

研究领域

台风、暴雨的目标观测和可预报性研究

招生信息

   
招生专业
070601-气象学
招生方向
台风、暴雨等中小尺度系统的观测与预报研究

教育背景

2004-09--2009-06 中国科学院大气物理研究所 博士
2000-09--2004-06 南京信息工程大学 学士学位

工作经历


工作简历
2022-02~现在, 中国科学院大气物理研究所, 研究员
2018-07~2019-07,美国国家海洋大气管理局, 访问学者
2016-11~2017-02,美国马里兰大学大气科学系, 访问学者
2015-08~2015-11,日本气象局气象研究所, 访问学者
2014-04~2014-09,美国犹他大学大气科学系, 访问学者
2012-04~2022-01,中国科学院大气物理研究所, 副研究员
2009-07~2012-04,中国科学院大气物理研究所, 助理研究员

教授课程

地球流体动力学

出版信息

   
发表论文
[1] 叶一苇, 周菲凡. Reasons for Different Predictability of Tropical Cyclone Tracks in the Western North Pacific and Atlantic Oceans. Bull. Amer. Meteor. Soc.[J]. 2024, 第 2 作者  通讯作者  null(null): 
[2] 周菲凡, 叶一苇, 张晗, 杨雅雯. 不同尺度初始误差对2021年台风烟花路径和强度模拟预报的影响研究. 大气科学[J]. 2024, 第 1 作者null(null): 
[3] Bulletin of the American Meteorological Society. 2024, 第 2 作者  通讯作者  
[4] Feng, Jie, Wang, Jincheng, Dai, Guokun, Zhou, Feifan, Duan, Wansuo. Spatiotemporal estimation of analysis errors in the operational global data assimilation system at the China Meteorological Administration using a modified SAFE method. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY. 2023, 第 4 作者http://dx.doi.org/10.1002/qj.4507.
[5] 林琳, 卢楚翰, 周菲凡. 2020年梅汛期强降水事件的预报误差来源分析. 气候与环境研究[J]. 2022, 第 3 作者27(4): 469-479, http://www.iapjournals.ac.cn/qhhj/article/doi/10.3878/j.issn.1006-9585.2021.21144.
[6] Lin Lin, Chuhan Lu, Feifan Zhou. Sources of Forecast Errors for Rainstorms in the South China Monsoon Region. ADVANCES IN METEOROLOGY[J]. 2022, 第 3 作者  通讯作者  
[7] 周菲凡, 叶一苇, 段晚锁, 张贺. 伴随敏感性方法、第一奇异向量方法以及条件非线性最优扰动方法在台风目标观测敏感区识别中的比较研究. 大气科学[J]. 2022, 第 1 作者  通讯作者  
[8] Shijin Yuan, Cheng Wang, Bin Mu, Feifan Zhou, Wansuo Duan. Typhoon Intensity Forecasting Based on LSTM Using the Rolling Forecast Method. ALGORITHMS[J]. 2021, 第 4 作者14(83): https://doaj.org/article/7373bf61408b428f97d96d2b0c5b0408.
[9] 罗亚丽, 孙继松, 李英, 夏茹娣, 杜宇, 杨帅, 张元春, 陈静, 代刊, 沈学顺, 陈昊明, 周菲凡, 刘屹岷, 傅慎明, 吴梦雯, 肖天贵, 陈杨瑞雪, 黎慧琦, 李明鑫. 中国暴雨的科学与预报:改革开放40年研究成果. 气象学报[J]. 2020, 第 12 作者78(3): 419-450, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=QXXB202003007&v=MDc2NDg3RGgxVDNxVHJXTTFGckNVUjdxZVorUnZGaXJtVWJ2TE5EWFRiTEc0SE5ITXJJOUZZNFI4ZVgxTHV4WVM=.
[10] Zhou, Feifan, Toth, Zoltan. On the Prospects for Improved Tropical Cyclone Track Forecasts. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY[J]. 2020, 第 1 作者  通讯作者  101(12): E2058-E2077, https://www.webofscience.com/wos/woscc/full-record/WOS:000627585400003.
[11] Luo, Yali, Sun, Jisong, Li, Ying, Xia, Rudi, Du, Yu, Yang, Shuai, Zhang, Yuanchun, Chen, Jing, Dai, Kan, Shen, Xueshun, Chen, Haoming, Zhou, Feifan, Liu, Yimin, Fu, Shenming, Wu, Mengwen, Xiao, Tiangui, Chen, Yangruixue, Li, Huiqi, Li, Mingxin. Science and Prediction of Heavy Rainfall over China: Research Progress since the Reform and Opening-Up of New China. JOURNAL OF METEOROLOGICAL RESEARCH[J]. 2020, 第 12 作者34(3): 427-459, http://lib.cqvip.com/Qikan/Article/Detail?id=7102368236.
[12] 卢楚, 翰林琳, 周菲凡. 一次粤西南暴雨过程的预报误差来源分析. 大气科学[J]. 2020, 第 3 作者  通讯作者  44(6): 1337-1348, http://lib.cqvip.com/Qikan/Article/Detail?id=7103461293.
[13] 王毅, 代刊, 张晓美, 唐健, 周菲凡, 马杰. 集合敏感性在预报误差及可预报性研究中的应用进展综述. 气象科技进展[J]. 2020, 第 5 作者10(2): 58-64+74, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=QXKZ202002008&v=MDIzNjR1eFlTN0RoMVQzcVRyV00xRnJDVVI3cWVadWR2RnlIZ1dyN01ORFhBZExHNEhOSE1yWTlGYklSOGVYMUw=.
[14] Mu Bin, Zhang Linlin, Yuan Shijin, Qian Yiwen, Wen Shicheng, Yan Jinghao, Zhou Feifan. INTELLIGENT ALGORITHMS FOR SOLVING CNOP AND THEIR APPLICATIONS IN ENSO PREDICTABILITY AND TROPICAL CYCLONE ADAPTIVE OBSERVATIONS. JOURNAL OF TROPICAL METEOROLOGY[J]. 2019, 第 7 作者25(1): 63-81, http://lib.cqvip.com/Qikan/Article/Detail?id=82818866504849574849484855.
[15] 穆斌, 张琳琳, 袁时金, 钱一闻, 温仕成, 颜景豪, 周菲凡. INTELLIGENT ALGORITHMS FOR SOLVING CNOP AND THEIR APPLICATIONS IN ENSO PREDICTABILITY AND TROPICAL CYCLONE ADAPTIVE OBSERVATIONS. 热带气象学报:英文版[J]. 2019, 第 7 作者63-81, http://lib.cqvip.com/Qikan/Article/Detail?id=82818866504849574849484855.
[16] Mu, Bin, Ren, Juhui, Yuan, Shijin, Zhou, Feifan. Identifying Typhoon Targeted Observations Sensitive Areas Using the Gradient Definition Based Method. ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES[J]. 2019, 第 4 作者55(2): 195-207, https://www.webofscience.com/wos/woscc/full-record/WOS:000466860900007.
[17] Zhenhua HUO, Wansuo DUAN, Feifan ZHOU. Ensemble Forecasts of Tropical Cyclone Track with Orthogonal Conditional Nonlinear Optimal Perturbations. 大气科学进展:英文版[J]. 2019, 第 3 作者36(2): 231-247, http://lib.cqvip.com/Qikan/Article/Detail?id=7000972391.
[18] Huo, Zhenhua, Duan, Wansuo, Zhou, Feifan. Ensemble Forecasts of Tropical Cyclone Track with Orthogonal Conditional Nonlinear Optimal Perturbations. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2019, 第 3 作者36(2): 231-247, http://www.iapjournals.ac.cn:80/aas/en/article/doi/10.1007/s00376-018-8001-1.
[19] 段晚锁, 汪叶, 霍振华, 周菲凡. 数值天气预报和气候预测的集合预报方法:思考与展望. 气候与环境研究[J]. 2019, 第 4 作者24(3): 396-406, http://www.iapjournals.ac.cn/qhhj/article/doi/10.3878/j.issn.1006-9585.2018.18133.
[20] Zhang, Linlin, Mu, Bin, Yuan, Shijin, Zhou, Feifan. A novel approach for solving CNOPs and its application in identifying sensitive regions of tropical cyclone adaptive observations. NONLINEAR PROCESSES IN GEOPHYSICS[J]. 2018, 第 4 作者25(3): 693-712, https://doaj.org/article/8d7acbb45d2f469fae5ce38861ad43fd.
[21] 刘娜, 段晚锁, 王自发, 唐晓, 周菲凡. 北京地区一次空气重污染过程的目标观测分析. 气候与环境研究[J]. 2018, 第 5 作者23(5): 619-632, http://www.iapjournals.ac.cn/qhhj/article/doi/10.3878/j.issn.1006-9585.2018.18025.
[22] Zhou, Feifan, Duan, Wansuo, Zhang, He, Yamaguchi, Munehiko. Possible Sources of Forecast Errors Generated by the Global/Regional Assimilation and Prediction System for Landfalling Tropical Cyclones. Part II: Model Uncertainty. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2018, 第 1 作者  通讯作者  35(10): 1277-1290, http://www.iapjournals.ac.cn:80/aas/en/article/doi/10.1007/s00376-018-7095-9.
[23] Feifan ZHOU, Wansuo DUAN, He ZHANG, Munehiko YAMAGUCHI. Possible Sources of Forecast Errors Generated by the Global/Regional Assimilation and Prediction System for Landfalling Tropical Cyclones.Part II:Model Uncertainty. 大气科学进展:英文版[J]. 2018, 第 1 作者35(10): 1277-1290, http://lib.cqvip.com/Qikan/Article/Detail?id=7000753220.
[24] Zhang, LinLin, Yuan, ShiJin, Mu, Bin, Zhou, FeiFan. CNOP-Based Sensitive Areas Identification for Tropical Cyclone Adaptive Observations with PCAGA Method. ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES[J]. 2017, 第 4 作者53(1): 63-73, https://www.webofscience.com/wos/woscc/full-record/WOS:000397134000007.
[25] Zhou Feifan. The Impact of Nonlinearity on the Targeted Observations for Tropical Cyclone Prediction.. Advances in Nonlinear Geosciences. 2017, 第 1 作者
[26] Gao Shouting, Zhou Feifan, Zuo Qunjie. The mesoscale balance and imbalance and the corresponding potential vorticity inversion from the view of helicity. JOURNAL OF METEOROLOGICAL RESEARCH[J]. 2016, 第 2 作者  通讯作者  30(4): 559-571, http://lib.cqvip.com/Qikan/Article/Detail?id=670053928.
[27] Gao Shouting, Zhou Feifan, Zuo Qunjie. The Mesoscale Balance and Imbalance and the Corresponding Potential Vorticity Inversion from the View of Helicity. 气象学报英文版[J]. 2016, 第 2 作者559-571, http://lib.cqvip.com/Qikan/Article/Detail?id=670053928.
[28] FeifanZHOU, MunehikoYAMAGUCHI, XiaohaoQIN. Possible Sources of Forecast Errors Generated by the Global/Regional Assimilation and Prediction System for Landfalling Tropical Cyclones. Part I: Initial Uncertainties. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2016, 第 1 作者  通讯作者  33(7): 841-851, http://www.iapjournals.ac.cn:80/aas/en/article/doi/10.1007/s00376-016-5238-4.
[29] Zhou, Feifan, Cui, Xiaopeng. The adjoint sensitivity of heavy rainfall to initial conditions in debris flow areas in China. ATMOSPHERIC SCIENCE LETTERS[J]. 2015, 第 1 作者  通讯作者  16(4): 485-491, https://www.webofscience.com/wos/woscc/full-record/WOS:000363203100010.
[30] 穆穆, 周菲凡. 基于CNOP方法的台风目标观测研究进展. 气象科技进展[J]. 2015, 第 2 作者[[[000]]]([[[003]]]): [[[6]]]-[[[17]]], http://lib.cqvip.com/Qikan/Article/Detail?id=81887590504849534851484853.
[31] 周菲凡, 张贺. 基于CNOP方法的台风目标观测中三种敏感区确定方案的比较研究. 大气科学[J]. 2014, 第 1 作者38(2): 261-272, http://www.iapjournals.ac.cn/dqkx/cn/article/doi/10.3878/j.issn.1006-9895.2013.13129.
[32] Wang Xiaolei, Zhou Feifan, Zhu Keyun. THE APPLICATION OF CONDITIONAL NONLINEAR OPTIMAL PERTURBATION TO THE BINARY TYPHOONS INTERACTION -FENGSHEN AND FUNG-WONG. JOURNAL OF TROPICAL METEOROLOGY[J]. 2014, 第 2 作者  通讯作者  20(4): 314-322, https://www.webofscience.com/wos/woscc/full-record/WOS:000347271200003.
[33] 高守亭, 刘丽丽, 周菲凡. 气旋波动研究进程及研究方法. 气候与环境研究[J]. 2013, 第 3 作者18(2): 261-270, http://www.iapjournals.ac.cn/qhhj/article/doi/10.3878/j.issn.1006-9585.2012.11099.
[34] Duan, Wansuo, Zhou, Feifan. Non-linear forcing singular vector of a two-dimensional quasi-geostrophic model. TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY[J]. 2013, 第 2 作者65: https://doaj.org/article/6e84cf20148849a6975f21d61e651e5f.
[35] 段晚锁, 丁瑞强, 周菲凡. 数值天气预报和气候预测可预报性研究的若干动力学方法. 气候与环境研究[J]. 2013, 第 3 作者18(4): 524-538, http://www.iapjournals.ac.cn/qhhj/article/doi/10.3878/j.issn.1006-9585.2012.12009.
[36] []. Non-linear forcing singular vector of a two-dimensional quasi-geostrophic model. 2013, http://oa.las.ac.cn/oainone/service/browseall/read1?ptype=JA&workid=JA201707074789246ZK.
[37] 王晓雷, 周菲凡, 朱克云. 条件非线性最优扰动方法在台风"风神"和"凤凰"相互作用过程中的应用研究. 热带气象学报[J]. 2013, 第 2 作者29(2): 235-244, http://lib.cqvip.com/Qikan/Article/Detail?id=45762269.
[38] Wansuo Duan, Feifan Zhou. Non-linear forcing singular vector of a two-dimensional quasi-geostrophic model. TELLUS: SERIES A[J]. 2013, 第 2 作者65: 1-20, https://doaj.org/article/6e84cf20148849a6975f21d61e651e5f.
[39] 周菲凡, 穆穆. The Time and Regime Dependencies of Sensitive Areas for Tropical Cyclone Prediction Using the CNOP Method. 大气科学进展:英文版[J]. 2012, 第 1 作者29(4): 705-716, http://lib.cqvip.com/Qikan/Article/Detail?id=42212074.
[40] Zhou Feifan, Ding Ruiqiang, Feng Guolin, Fu Zuntao, Duan Wansuo. Progress in the Study of Nonlinear Atmospheric Dynamics and Predictability of Weather and Climate in China (2007-2011). 大气科学进展:英文版[J]. 2012, 第 1 作者29(5): 1048-1062, http://lib.cqvip.com/Qikan/Article/Detail?id=42901347.
[41] ZHOUFeifan, MUMu. The Impact of Horizontal Resolution on the CNOP and on Its Identified Sensitive Areas for Tropical Cyclone Predictions. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2012, 第 1 作者  通讯作者  29(1): 36-46, http://www.iapjournals.ac.cn:80/aas/en/article/doi/10.1007/s00376-011-1003-x.
[42] 穆穆, 秦晓昊, 周菲凡, 陈博宇. 加强目标观测,服务防灾减灾. 成都信息工程学院学报[J]. 2012, 第 3 作者27(1): 20-26, http://lib.cqvip.com/Qikan/Article/Detail?id=41780345.
[43] Zhou Feifan. The time and regime dependences of sensitive areas for tropical cyclone prediction using the CNOP method. Adv. Atmos. Sci.. 2012, 第 1 作者
[44] Zhou Feifan. Progresses in the studies of nonlinear atmospheric dynamics and predictability for weather and climate in China (2007-2011). Adv. Atmos. Sci.. 2012, 第 1 作者
[45] ZHOUFeifan, DINGRuiqiang, FENGGuolin, FUZuntao, DUANWansuo. Progress in the Study of Nonlinear Atmospheric Dynamics and Predictability of Weather and Climate in China (2007--2011). ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2012, 第 1 作者29(5): 1048-1062, http://www.iapjournals.ac.cn:80/aas/en/article/doi/10.1007/s00376-012-1204-y.
[46] ZHOUFeifan, MUMu. The Time and Regime Dependencies of Sensitive Areas for Tropical Cyclone Prediction Using the CNOP Method. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2012, 第 1 作者  通讯作者  29(4): 705-716, http://www.iapjournals.ac.cn:80/aas/en/article/doi/10.1007/s00376-012-1174-0.
[47] 穆穆, 陈博宇, 周菲凡. 气象预报的方法与不确定性. 气象[J]. 2011, 第 3 作者[[[037]]]([[[001]]]): 1-13, http://lib.cqvip.com/Qikan/Article/Detail?id=3.6509868E7.
[48] ZHOUFeifan, MUMu. The Impact of Verification Area Design on Tropical Cyclone Targeted Observations Based on the CNOP Method. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2011, 第 1 作者  通讯作者  28(5): 997-1010, http://www.iapjournals.ac.cn:80/aas/en/article/doi/10.1007/s00376-011-0120-x.
[49] 王晓雷, 朱克云, 周菲凡. 条件非线性最优扰动在南海台风中的应用研究. 成都信息工程学院学报[J]. 2010, 第 3 作者640-646, http://lib.cqvip.com/Qikan/Article/Detail?id=67688188504849484854484957.
[50] 徐方建, 李安春, 万世明, 刘建国, 王宏娜, 周菲凡. 东海内陆架泥质区中全新世环境敏感粒度组分的地质意义. 海洋学报[J]. 2009, 第 6 作者95-102, http://lib.cqvip.com/Qikan/Article/Detail?id=31006490.
[51] Gao Shouting, Zhou Feifan, Liu Liping. INSTABILITY OF SYMMETRIC TYPHOON CIRCULATION AND ADAPTIVE OBSERVATION. JOURNAL OF TROPICAL METEOROLOGY[J]. 2009, 第 2 作者15(2): 162-166, http://lib.cqvip.com/Qikan/Article/Detail?id=32513907.
[52] Zhou Feifan. A method to identify the sensitive areas in targeting for tropical cyclone prediction: conditional nonlinear optimal perturbation. Mon.Wea.Rev.. 2009, 第 1 作者
[53] Mu, Mu, Zhou, Feifan, Wang, Hongli. A Method for Identifying the Sensitive Areas in Targeted Observations for Tropical Cyclone Prediction: Conditional Nonlinear Optimal Perturbation. MONTHLY WEATHER REVIEW[J]. 2009, 第 2 作者137(5): 1623-1639, http://www.corc.org.cn/handle/1471x/2395864.
[54] 高守亭, 周菲凡, 刘黎平. INSTABILITY OF SYMMETRIC TYPHOON CIRCULATION AND ADAPTIVE OBSERVATION. 热带气象学报:英文版[J]. 2009, 第 2 作者15(2): 162-166, http://lib.cqvip.com/Qikan/Article/Detail?id=32513907.
[55] GAOShouTing, ZHOUFeiFan. Water Vapour Potential Vorticity and Its Applications in Tropical Cyclones. Chinese Physics Letters[J]. 2008, 第 2 作者25(10): 3830-3833, https://cpl.iphy.ac.cn/Y2008/V25/I10/3830.
[56] 高守亭, 周菲凡. Water Vapour Potential Vorticity and Its Applications in Tropical Cyclones. 中国物理快报:英文版[J]. 2008, 第 2 作者25(10): 3830-3833, http://lib.cqvip.com/Qikan/Article/Detail?id=28404899.
[57] Zhou Feifan. Water vapor potential vorticity and its application in tropical cyclones. Chin.Phys.Lett.. 2008, 第 1 作者
[58] 穆穆, 王洪利, 周菲凡. 条件非线性最优扰动方法在适应性观测研究中的初步应用. 大气科学[J]. 2007, 第 3 作者1102-1112, http://lib.cqvip.com/Qikan/Article/Detail?id=2.5865839E7.
[59] 高守亭, 周菲凡. 基于螺旋度的中尺度平衡方程及非平衡流诊断方法. 大气科学[J]. 2006, 第 2 作者30(5): 854-862, http://www.iapjournals.ac.cn/dqkx/cn/article/doi/10.3878/j.issn.1006-9895.2006.05.14.
发表著作
(1) 条件非线性最优扰动方法在集合预报和适应性观测中的应用,Applications of Conditional Nonlinear Optimal Perturbations to Ensemble Prediction and Adaptive Observation.,Springer-Verlag,2009-02,第3作者

科研活动

   
科研项目
( 1 ) 条件非线性最优扰动方法在台风异常路径可预报性研究中的应用, 负责人, 国家任务, 2012-01--2014-12
( 2 ) 全球中期数值预报技术开发及应用, 参与, 国家任务, 2012-01--2016-12
( 3 ) 四川泥石流频发区暴雨的可预报性研究, 负责人, 国家任务, 2015-01--2018-12
( 4 ) 中国科学院青年科学家创新促进会人才项目, 负责人, 中国科学院计划, 2014-01--2017-12
( 5 ) 台风强度/结构变化的关键动力-热力过程及预报理论研究, 参与, 国家任务, 2018-01--2022-12
( 6 ) 暴雨的多尺度作用机理及预测理论和方法, 参与, 国家任务, 2018-12--2021-12
( 7 ) 西北太平洋热带气旋路径的可预报性上限研究, 负责人, 国家任务, 2022-01--2025-12

指导学生

已指导学生

霍振华  博士研究生  070601-气象学  

现指导学生

叶一苇  硕士研究生  070600-大气科学