袁乃明，教授，博士生导师

主要从事地球系统中的复杂性、气候变化、气候预测及预估、以及气候变化与经济能源相互作用等方面的研究。近年来已在Nature Climate Change, PNAS, Journal of Climate, Geophysical Research Letters等期刊发表学术论文60余篇，其中50余篇收录在SCI期刊，第一或通讯作者SCI论文30余篇。2016年荣获世界气象组织颁发的Mariolopoulos教授信托基金奖。2020年荣获谢义炳青年气象科技奖。2021年荣获中山大学第九届教师教学竞赛理科组特等奖（第一名）。2022年获广东省第六届高校（本科）青年教师教学大赛三等奖。2022年获广东省杰出青年基金。2023年入选国家重大人才工程（青年学者）。

 

联系方式

通讯地址：广东省珠海市香洲区海琴2号A342

电子邮箱：yuannm@mail.sysu.edu.cn

 

招生&招聘

现招收博士研究生1名，硕士研究生1名，欢迎对气候变化及其影响、气候预测、尤其是气象大数据/复杂气候网络等领域感兴趣的同学联系报考。

课题组常年招聘博士后，提供优厚待遇。

 

教育和工作经历

2023 - -至今    中山大学大气科学学院，教授，博士生导师

2020 -- 2023    中山大学大气科学学院，副教授，博士生导师

2016 -- 2020   中国科学院大气物理研究所，副研究员

2013 -- 2016   中国气象科学研究院，助理研究员

2008 -- 2013   北京大学大气与海洋科学系，博士研究生

2004 -- 2008   北京师范大学物理学系，本科生

 

学术兼职

2019年起担任欧洲地球科学联盟(EGU)年会非线性分会场联合召集人

2021年担任欧洲科学理事会项目评审专家

2022年起担任《物理学报》专题客座编辑

2023年起担任《高原气象》青年编委

担任Nature Climate Change, Geophysical Research Letters, Journal of Climate, Journal of Geophysical Research, Earth System Dynamics, International Journal of Climatology, Theoretical and applied Climatology等多个期刊审稿人

 

获奖情况

2022年08月   广东省第六届高校（本科）青年教师教学大赛三等奖

2021年11月   第九届中山大学教师教学竞赛理科组特等奖

2020年11月   谢义炳青年气象科技奖

2016年09月   世界气象组织（WMO）Mariolopoulos教授信托基金奖

 

主要国际合作

德国吉森大学Prof. Juerg Luterbacher课题组，合作领域：古气候分析、气候变化影响；

德国波茨坦气候影响研究所（PIK）Prof. Juergen Kurths课题组，合作领域：复杂气候网络、气象大数据及预测方法；

英国爱丁堡大学Prof. Gabriele Hegerl课题组，合作领域：气候变化、未来预估；

德国吉森大学Prof. Armin Bunde课题组，合作领域：气候预测、气候系统持续性特征分析及趋势诊断；

德国汉堡大学Dr. Christian Franzke课题组，合作领域：非线性大气动力学、随机动力学；

俄罗斯圣彼得堡电工大学Prof. Mikhail Bogachev课题组，合作领域：复杂气候网络理论。

 

承担项目

1.广东省杰出青年基金项目，气候系统的复杂性研究（2023B1515020084），2023.01-2026.12，100万元，在研，主持

2.国家自然科学基金面上项目，融合多因子多尺度相互作用的气候网络分析方法研发（42175068），2022.01-2025.12，58万元，在研，主持；

3.广东省自然科学基金面上项目，基于多尺度气候网络分析的印度洋偶极子早期预警研究（2022A1515011569），2022.01-2024.12，10万元，在研，主持；

4.中山大学高校基本业务费青年拔尖科研人才培育计划项目，基于复杂系统科学的气候预测方法研究，2022.01-2023.12，40万元，在研，主持；

5.中山大学百人计划人才引进经费，2021-2023，60万元，在研，主持；

6.国家自然科学基金面上项目，基于气候系统中多因子相互作用的气候预测新方法研究（41675088），2017.01-2020.12，68万元，已结题，主持；

7.国家自然科学基金青年项目，气候变率中长期记忆性信号的提取及其在中国气候预测中的应用（41405074），2015.01-2017.12，25万元，已结题，主持；

8. 科学技术部国家重点研发计划，年代际气候变化和重大事件的可预报性及预估方法（第四课题，2016YFA0600404），2016.07至2021.06，85万元，在研，专题负责人;

 

教学情况

本科生课程：专业必修课《热力学与统计物理学》、专业选修课《大气和海洋的物理学基础》、通识课程《城市和气候》

研究生课程：专业选修课《非线性动力学前沿进展》

 

发表论文（*为通讯作者）

2022

  • Naiming Yuan, Christian L. E. Franzke*, Feilin Xiong, Zuntao Fu, and Wenjie Dong, The impact of long-term memory on the climate response to greenhouse gas emissions, npj Climate and Atmospheric Science, (2022), 5, 70. https://doi.org/10.1038/s41612-022-00298-8.
  • Zhenghui Lu#, Wenjie Dong*, Bo Lu*, Naiming Yuan#*, Zhuguo Ma, Mikhail I. Bogachev, and Juergen Kurths, Early warning of the Indian Ocean Dipole using climate network analysis, PNAS, (2022), 119, e2109089119.
  • Yiling Ma, Naiming Yuan*, Tianyun Dong, and Wenjie Dong, On the Pacifc Decadal Oscillation Simulations in CMIP6 Models: A New Test‑Bed from Climate Network Analysis, Asia-Pacifc Journal of Atmospheric Sciences, (2022), https://doi.org/10.1007/s13143-022-00286-1.
  • Yu Huang, Naiming Yuan*, Ming Shi, Zhenghui Lu, and Zuntao Fu*, On the Air-Sea Couplings Over Tropical Pacific: An Instantaneous Coupling Index Using Dynamical Systems Metrics, Geophysical Research Letters, (2022) 49, e2021GL097049. https://doi. org/10.1029/2021GL097049.

2021

  • Naiming Yuan*, Feilin Xiong*, Elena Xoplaki, Wenping He*, and Juerg Luterbacher, A new approach to correct the overestimated persistence in tree-ring width based precipitation reconstructions, Climate Dynamics, (2021). https://doi.org/10.1007/s00382-021-06024-z.
  • Zhenghui Lu, Naiming Yuan*, Qing Yang, Zhuguo Ma, and Juergen Kurths, Early warning of the Pacific Decadal Oscillation phase transition using complex network analysis, Geophysical Research Letters, (2021), 48, e2020GL091674.
  • Haoxin Zhang, Naiming Yuan*, Zhuguo Ma, and Yu Huang, Understanding the soil temperature variability at different depths: effects of surface air temperature, snow cover, and the soil memory, Advances in Atmospheric Sciences, 38, 493-503 (2021). https://doi.org /10.1007/s00376-020-0074-y.
  • Meixia Lv, Zhuguo Ma, and Naiming Yuan, Attributing Terrestrial Water Storage Variations across China to Changes in Groundwater and Human Water Use, Journal of Hydrometeorology, 22, 3-21 (2021).
  • Ruben Seibert, Louise C. Andersen, Klaus A. Jarosch, Gerald Moser, Claudia I. Kammann, Naiming Yuan, Juerg Luterbacher, Ronnie J. Laughlin, Catherine J. Watson, Martin Erbs, and Christoph Mueller, Plant Functional Types Differ in Their Long-term Nutrient Response to eCO2 in an Extensive Grassland, Ecosystems, (2021). https://doi.org/10.1007/s100021-021-00703-y.

2020

  • Naiming Yuan*, and Zhenghui Lu, Warming reduces predictability, Nature Climate Change, 10, 13-14 (2020). https://doi.org/10.1038/s41558-019-0669-4.
  • Zhenghui Lu, Naiming Yuan*, Lin Chen, and Zhiqiang Gong, On the impacts of El Nino events: A new monitoring approach using complex network analysis, Geophysical Research Letters, 47, e2019GL086533, (2020). https://doi.org/10.1029/2019GL086533.
  • Da Nian, Naiming Yuan*, Kairan Ying, Ge Liu, Zuntao Fu, Yanjun Qi, and Christian L. E. Franzke, Identifying the sources of seasonal predictability based on climate memory analysis and variance decomposition, Climate Dynamics, 55, 3239-3252 (2020).
  • Min Qiu, Naiming Yuan*, Shujie Yuan, Understanding long-term memory in global mean temperature: An attribution study based on model simulations, Atmospheric and Oceanic Science Letters, in press, (2020). https://doi.org/10.1080/16742834.2020.1778418.
  • Christian L. E. Franzke, Susana Barbosa, Richard Blender, Hege-Beate Fredriksen, Thomas Laepple, Fabrice Lambert, Tine Nilsen, Kristoffer Rypdal, Martin Rypdal, Manuel G. Scotto, Stephane Vannitsem, Nicholas W. Watkins, Lichao Yang, and Naiming Yuan, The structure of climate variability across scales, Reviews of Geophysics, 58, e2019RG000657, (2020). https://doi.org/10.1029/2019RG000657.
  • Yu Huang, Christian L. E. Franzke, Naiming Yuan, and Zuntao Fu, Systematic identification of causal relations in high-dimensional chaotic systems: Application to stratosphere-troposphere coupling, Climate Dynamics, 55，2469-2481, (2020).
  • Christian L. E. Franzke, and Naiming Yuan, Is climate variability organized, Eos, 101, (2020). https://doi.org/10.1029/2020EO145366

2019

  • Naiming Yuan*, Yan Huang, Jianping Duan, Congwen Zhu, Elena Xoplaki, and Juerg Luterbacher, On climate prediction: how much can we expect from climate memory? Climate Dynamics, 52(1-2), 855-864 (2019). https://doi.org/10.1007/s00382-018-4168-5.
  • Feilin Xiong, Naiming Yuan*, Xiaoyan Ma, Zhenghui Lu, and Jinhui Gao, On memory and non-memory parts of surface air temperatures over China: can they be simulated by decadal hindcast experiments in CMIP5? Climate Dynamics, 52, 4515-4525 (2019). https://doi.org/10.1007/s00382-018-4395-9.
  • Fenghua Xie, Naiming Yuan*, Yanjun Qi, and Wenlu Wu, Is long-term climate memory important in temperature/precipitation predictions over China, Theoretical and Applied Climatology, 137, 459-466 (2019). https://doi.org/10.1007/s00704-018-2608-0.
  • Josef Ludescher, Naiming Yuan*, and Armin Bunde, Detecting the statistical significance of the trends in the Antarctic sea ice extent: an indication for a turning point, Climate Dynamics, 53, 237-244 (2019). https://doi.org/10.1007/s00382-018-4579-3.
  • Wenlu Wu, Naiming Yuan*, Fenghua Xie, and Yanjun Qi, Understanding long-term persistence and multifractal behaviors in river runoff: A detailed study over eastern China, Physica A, 533, 122042 (2019). https://doi.org/10.1016/j.physa.2019.122042.
  • Jianping Duan, Zhuguo Ma, Naiming Yuan, Lun Li, and Liang Chen, Extremes in the magnitude of annual temperature cycle on the Tibetan Plateau over the past three centuries, Climate Dynamics, 52, 3599-3608 (2019). https://doi.org/10.1007/s00382-018-4346-5.
  • 袁乃明，杨庆，刘健，陶丽，冯锦明，马柱国，年代际气候事件的归因及预估研究进展，中国基础科学，21(3)，36-44 (2019).
  • 祝从文，刘伯奇，左志燕，袁乃明，刘舸，东亚夏季风次季节变化研究进展，应用气象学报，30，401-415 (2019). doi: 10.11898/1001-7313.20190402.

2018

  • Naiming Yuan*, Gerald Moser, Christoph Mueller, Wolfgang A. Obermeier, Joerg Bendix, and Jürg Luterbacher, Extreme climatic events down-regulate the grassland biomass response to elevated carbon dioxide, Scientific Reports, 8, 17758 (2018). https://doi.org/10.1038/s41598-018-36157-x.
  • Zhenghui Lu, Zuntao Fu, Lijuan Hua, Naiming Yuan*, and Lin Chen, Evaluation of ENSO simulations in CMIP5 models: A new perspective based on percolation phase transition in complex networks, Scientific Reports, 8, 14912 (2018). https://doi.org/10.1038/s41598-018-33340-y
  • Louise C. Andresen, Naiming Yuan, Ruben Seibert, Gerald Moser, Claudia I. Kammann, Juerg Luterbacher, Martin Erbs, Christoph Mueller, Biomass responses in a temperate European grassland through 17 years of elevated CO2, Global Change Biology, 24, 3875-3885 (2018). https://doi.org/10.1111/gcb.13705.

2017

  • Naiming Yuan, Minghu Ding, Josef Ludescher, and Armin Bunde, Increase of the Antarctic Sea Ice Extent is highly significant only in the Ross Sea, Scientific Reports, 7, 41096 (2017). https://doi.org/10.1038/srep41096.
  • Lijuan Hua, Zhenghui Lu, Naiming Yuan*, Lin Chen, Yongqiang Yu, Lu Wang, Percolation Phase Transition of Surface Air Temperature Networks: A new test bed for El Nino/La Nina simulations, Scientific Reports, 7, 8324 (2017). https://doi.org/10.1038/s41598-017-08767-4.
  • W. A. Obermeier, L. W. Lehnert, C. I. Kammann, C. Mueller, L. Gruenhage, J. Luterbacher, M. Erbs, G. Moser, R. Seibert, N. Yuan, J. Bendix, Reduced CO2 fertilization effect in temperate C3 grasslands under more extreme weather conditions, Nature Climate Change, 7, 137-141 (2017). https://doi.org/10.1038/nclimate3191.
  • Christian L. E. Franzke, Naiming Yuan, Why is scaling important, PAGES MAGAZINE, 25, 134-135, (2017). https://doi.org/10.22498/pages.25.3.134
  • Mikhail Bogachev, Naiming Yuan, Armin Bunde, Fractals and Multifractals in Geophysical Time Series, in: Fractals: Concepts and Applications in Geosciences, Chapter 9, Eds B. Ghanbarian, A. G. Hunt, CRC Press Taylor & Francis Group (2017).

2016

  • Naiming Yuan*, Elena Xoplaki, Congwen Zhu, and Juerg Luterbacher, A novel way to detect correlations on multi-time scales, with temporal evolution and for multi-variables, Scientific Reports, 6, 27707 (2016). https://doi.org/10.1038/srep27707.
  • Lin Piao, Zuntao Fu, and Naiming Yuan*, “Intrinsic” correlations and their temporal evolutions between wintertime PNA/EPW and winter drought in the west United States, Scientific Reports, 6, 19958 (2016). https://doi.org/10.1038/srep19958.
  • Zhenghui Lu, Naiming Yuan, Zuntao Fu, Percolation phase transition of surface air temperature networks under attacks of El Nino/La Nina, Scientific Reports, 6, 26779 (2016). https://doi.org/10.1038/srep26779.
  • Zuntao Fu, Fenghua Xie, Naiming Yuan, Lin Piao, Impact of previous one-step variation in positively long-range correlated processes, Theor. Appl. Climatol, 124, 339-347 (2016). https://doi.org/10.1007/s00704-015-1419-9.
  • Minghu Ding, Cunde Xiao, Yuande Yang, Yetang Wang, Chuanjin Li, Naiming Yuan, Guitao Shi,Weijun Sun, Jing Ming, Re-assessment of recent (2008-2013) surface mass balance over Dome Argus, Antarctica, Polar Research, 35, 26133 (2016). http://dx.doi.org/10.3402/polar.v35.26133.
  • J Luterbacher, J P Werner, J E Smerdon, L Fernández-Donado, F J González-Rouco, D Barriopedro, F C Ljungqvist, U Büntgen, E Zorita, S Wagner, J Esper, D McCarroll, A Toreti, D Frank, J H Jungclaus, M Barriendos, C Bertolin, O Bothe, R Brázdil, D Camuffo, P Dobrovolný, M Gagen, E García-Bustamante, Q Ge, J J Gómez-Navarro, J Guiot, Z Hao, G C Heger, K Holmgren, V V Klimenko, J Martín-Chivelet, C Pfister, N Roberts, A Schindler, A Schurer, O Solomina, L von Gunten, E Wahl, H Wanner, O Wetter, E Xoplaki, N Yuan, D Zanchettin, H Zhang and C Zerefos, European summer temperatures since Roman times, Env. Res. Lett., 11, 024001 (2016). https://doi.org/10.1088/1748-9326/11/2/024001.

2015

  • Naiming Yuan*, Minghu Ding, Yan Huang, Zuntao Fu, Elena Xoplaki, and Juerg Luterbacher, On the long-term climate memory in the surface temperature records over Antarctica: A non-negligible factor for trend evaluation, Journal of Climate, 28, 5922-5934 (2015). https://doi.org/10.1175/JCLI-D-14-00733.1.
  • Naiming Yuan*, Zuntao Fu, Huan Zhang, Lin Piao, Elena Xoplaki, and Juerg Luterbacher, Detrended partial-cross-correlation analysis: a new method for analyzing correlations in complex system, Scientific Reports, 5, 8143 (2015). https://doi.org/10.1038/srep08143.
  • Qinglei Li, Zuntao Fu, and Naiming Yuan*, Beyond Benford's Law: Distinguishing Noise from Chaos, PLOS ONE, 10(6), e0129161 (2015). https://doi.org/10.1371/journal.pone.0129161.
  • Huan Zhang, Naiming Yuan, Jan Esper, Johannes Werner, Elena Xoplaki, Ulf Buntgen, Kerstin Treydte, and Juerg Luterbacher, Modified climate with long term memory in tree ring proxies, Env. Res. Lett., 10, 084020 (2015). https://doi.org/10.1088/1748-9326/10/8/084020.
  • 黄琰, 袁乃明*, 何文平, 长时间大气温度序列的外部变化趋势判别研究, 物理学报, 64, 029201 (2015). https://dx.doi.org/10.7498/aps.64.029201.
  • 丁明虎，卞林根，张林，王召民，逯昌贵，孙维君，袁乃明，傅良，谢泽林，中国南极维多利亚地新站气象特征分析, 极地研究, 27(4), 344-350 (2015). doi: 10.13679/j.jdyj.2015.4.344.

2014

  • Naiming Yuan, and Zuntao Fu, Century-Scale Intensity Modulation of Large-Scale Variability in Long Historical Temperature Records, Journal of Climate, 27, 1742-1750 (2014). https://doi.org/10.1175/JCLI-D-13-00349.1.
  • Naiming Yuan*, Zuntao Fu, and Shida Liu, Extracting climate memory using Fractional Integrated Statistical Model: A new perspective on climate prediction, Scientific Reports, 4, 6577 (2014). https://doi.org/10.1038/srep06577.
  • Naiming Yuan*, and Zuntao Fu, Different spatial cross-correlation patterns of temperature records over China: A DCCA study on different time scales, Physica A, 400, 71-79 (2014). http://dx.doi.org/10.1016/j.physa.2014.01.014.
  • Qinglei Li, Zuntao Fu, Naiming Yuan, and Fenghua Xie, Effects of non-stationarity on the magnitude and sign scaling in the multi-scale vertical velocity increment, Physica A, 410, 9-16 (2014). http://dx.doi.org/10.1016/j.physa.2014.05.004.
  • Zuntao Fu, Qinglei Li, Naiming Yuan, and Zhenhua Yao, Multi-scale entropy analysis of vertical wind variation series in atmospheric boundary-layer, Commun Nonlinear Sci Numer Simulat, 19, 83-91 (2014). http://dx.doi.org/10.1016/j.cnsns.2013.06.026.

2013年及以前

  • Naiming Yuan, Zuntao Fu, and Shida Liu, Long-term memory in climate variability: A new look based on fractional integral techniques, Journal of Geophysical Research: Atmospheres, 118, 12962-12969 (2013). https://doi.org/10.1002/2013JD020776.
  • Naiming Yuan, Zuntao Fu, and Jiangyu Mao, Different multi-fractal behaviors of diurnal temperature range over the north and the south of China, Theoretical and Applied Climatology, 112, 673-682 (2013). https://doi.org/10.1007/s00704-012-0762-3.
  • 刘式达，袁乃明，付遵涛，刘式适，气候变化的长期记忆性：理论基础与观测实证, 中国科学：物理学 力学 天文学, 43, 1327-1331 (2013). doi: 10.1360/132013-250
  • Naiming Yuan, Zuntao Fu, Huiqun Li, and Jiangyu Mao, Effect of extreme value loss on long-term correlated time series, Theoretical and Applied Climatology, 109, 133-140 (2012). https://doi.org/10.1007/s00704-011-0566-x.
  • Lei Jiang, Naiming Yuan, Zuntao Fu, Dongxiao Wang, Xia Zhao, and Xiuhua Zhu, Subarea characteristics of the long-range correlations and the index χ for daily temperature records over China, Theoretical and Applied Climatology, 109, 261-270 (2012). https://doi.org/10.1007/s00704-011-0578-6.
  • Feiyu Lu, Naiming Yuan, Zuntao Fu, and Jiangyu Mao, Universal scaling behaviors of meteorological variables’ volatility and relations with original records, Physica A, 391, 4953-4962 (2012). doi:10.1016/j.physa.2012.05.031.
  • Naiming Yuan, Zuntao Fu, and Jiangyu Mao, Different scaling behaviors in daily temperature records over China, Physica A, 389, 4087-4095 (2010). doi:10.1016/j.physa.2010.05.026.
  • Naiming Yuan, Zuntao Fu, Jiangyu Mao, and Shikuo Liu, Novel solutions to the combined dispersion equation, Physics Letters A, 373, 1826-1829 (2009). doi:10.1016/j.physleta.2009.03.041.
  • Zuntao Fu, Naiming Yuan, Zhe Chen, Jiangyu Mao, and Shikuo Liu, Multi-order exact solutions to the Drinfel’d-Sokolov-Wilson equations, Physics Letters A, 373, 3710-3714 (2009). doi:10.1016/j.physleta.2009.08.014.
  • Zuntao Fu, Naiming Yuan, Jiangyu Mao, and Shikuo Liu, New Lamé function and its application to nonlinear equations, Physics Letters A, 374, 214-217 (2009). doi:10.1016/j.physleta.2009.10.055.