李娟教授主页
李娟
32

个人信息Personal Information

教授 硕士生导师

教师拼音名称:LiJuan

所在单位:大气科学学院

办公地点:气象楼318

联系方式:juanl@nuist.edu.cn

职称:教授

毕业院校:中科院大气物理研究所

硕士生导师

  • 基本信息
  • 个人简介
  • 近期主要论著
  • 近期科研项目
  • 姓        名:  李娟

    出生年月:  1985年1月

    国        籍:  中国

    性        别:  女

    导        师:  董文杰教授, 严中伟研究员 (硕博),Prof. Bin Wang (博士后)

    职        称:  教授

    最高学历:  博士

    所属专业:  气象学

    所属系部:  天气学系

    毕业院校:  中科院大气物理研究所

    研究方向:  季风动力学,极端天气气候归因,气候预测

    办公地点:  气象楼318

    邮        箱:  juanl@nuist.edu.cn

    主要研究领域:季风多尺度变率及其海气相互作用,极端天气气候事件机理,次季节至年代际预测, 多模式动力诊断评估

    主讲课程:天气学原理与方法,专业英语,Climate Change and Climate Prediction

  • 教育背景:  

    2003/09-2007/07       南京信息工程大学   大气科学专业   学士
    2007/09-2012/07       中科院大气物理研究所   气象学专业   博士

    工作经历:  

    2012/11-2017/10       美国夏威夷大学        博士后
    2017/12-2019/06       南京信息工程大学    校聘教授
    2019/07-至今            南京信息工程大学    教授

    荣誉获奖:
    2020  江苏省重大人才工程B类特聘教授
    2023  南京信息工程大学本科毕业设计(论文)优秀指导教师
    2023  大气院年度科技工作突出贡献奖

  • 2024

      Li J.*, Y. Long. 2024: Predictability of the anomaly pattern of summer extreme high temperature days over northern China.  Clim Dyndoi.org/10.1007/s00382-024-07301-3 

      Fu, H., F. Shi, W. Liu, H. Xue, W. Man, J. Li, and Z. Guo, 2024: Tracing the centennial variation of East Asian Summer Monsoon. Global and Planetary Change, 238, 104464.

      Yao M., J. Li*, C. Zheng, M. Yao, Z. Zhu. 2024: How predictable is the anomaly pattern of summer extreme high-temperature days over Central Asia? Clim Dyn, doi: 10.1007/s00382-024-07299-8.

      刘嘉锡, 朱志伟, 卢睿, 李娟. 2024:ENSO循环海表温度演变多样性的客观分类. 高原气象. 43(6), doi: 10.7522/i.issn.1000-0534.2024.00026.

      李娟*, 王诚, 徐邦琪, 朱志伟. 2024:中国东部夏季季节内降水异常的经向移动分类及可能机理. 大气科学. doi: 10.3878/j.issn.1006-9895.2402.23144.

      Xiang Y., J. Li*, B. Wang, L. Ma, Z. Zhu. 2024: MJO structure-propagation nexus and impacts of background mean states in CMIP6 models. J Climate, doi: 10.1175/JCLI-D-23-0348.1.

      Huang H, Z. Zhu, J. Li. 2024: Disentangling the unprecedented Yangtze River Basin extreme high temperatures in summer 2022: Combined impacts of the re-intensified La Niña and strong positive NAO. J Climate, 37(3), 927-942. doi: 10.1175/JCLI-D-23-0466.1.


    2023

       Jiang Y.#, J. Li#, B. Wang, Y-M. Yang, Z. Zhu. 2023: Weakening of decadal variation of Northern Hemisphere land monsoon rainfall under global warming. npj Clim. Atmos. Sci., doi: 10.1038/s41612-023-00441-z.

       Jiang Y., Z. Zhu, J. Li, L. Miao, Z. Miao. 2023: Changes of mean and extreme precipitation and their relationship in Northern Hemisphere land monsoon domain under global warming. Int. J. Climato., doi:10.1002/joc.8159.

      Li J., C. Zheng, Y. Yang, R. Lu, Z. Zhu, 2023: Predictability of spatial distribution of pre-summer extreme precipitation days over southern China revealed by the physical-based empirical model. Clim Dyn, doi: 10.1007/s00382-023-06681-2.

      李娟,朱志伟,徐邦琪,张可越,基于低频增量时空耦合的动力统计结合的次季节预测方法. 国家发明专利.

      张可越, 李娟* , 徐邦琪, 朱志伟. 2023: 中国南方降水及其极端事件的动力-统计相结合的延伸期预报. 气象学报, doi: 10.11676/qxxb2023.20220061.

      Zhou Z., J. Li*, H. Chen, Z. Zhu. 2023: Seasonal prediction of extreme high temperature days in southwestern China based on physical precursors. Adv Atmos Sci, doi: 10.1007/s00376-022-2075-5.

       Wu J., J. Li*Z. ZhuP-C. Hsu. 2023: Factors determining the subseasonal prediction skill of summer extreme rainfall over southern China. Clim Dyndoi: 10.1007/s00382-022-06326-w.


    2022

      Shi, F.,  Goosse, H.,  Li, J.,  Yin, Q.,  Ljungqvist, F. C.,  Lian, T.,C. Sun, L. Wang, Z. Wu, J. Li, S. Zhao, C. Xu, W. Liu, T. Liu, T. Nakatsuka, Z. Guo, 2022:  Interdecadal to multidecadal variability of East Asian summer monsoon over the past half millennium. J Geophy. Res-Atmos,  127

     Yang Y-M, J-H. Park, S-I. An, S-W. Yeh, Z. Zhu, F. Liu, J. Li, J-Y. Lee, B. Wang. 2022: Increased Indian Ocean-North Atlantic Ocean warming chain under greenhouse warming. Nat Commun, 13, 3978. doi: 10.1038/s41467-022-31676-8

      Fu, Z., P.-C. Hsu, J. Li, J. Cao, Y-M Yang, and F. Liu. 2022: Multidecadal changes in zonal displacement of tropical Pacific MJO variability modulated by North Atlantic SST. J Climate, doi: 10.1175/JCLI-D-21-0819.1  

      Long Y., J. Li*, Z. Zhu, J. Zhang. 2022: Predictability of the anomaly pattern of summer extreme high-temperature days over southern China. Clim Dyn, doi: 10.1007/s00382-022-06170-y.


    2021

      Wu, N., Y. Li, J. Li, L. Feng, F. Liu, Decadal changes of the Intraseasonal Oscillation during 1979‒2016, Adv Clim Chang Res, https://doi.org/10.1016/j.accre.2021.10.001.

      Zhang, K., J. Li*, Z. Zhu, T. Li, 2021: Implications from subseasonal prediction skills of the prolonged heavy snow event over southern China in early 2008. Adv Atmos Sci, 38 (11), doi: 10.1007/s00376-021-0402-x.

       Cao, J., L. Ma, F. Liu, J. Chai, H. Zhao, Q. He, B. Wang, B. Yan, J. Li, Y. Yang, H. Deng, B. Wang, 2021: NUIST ESM v3 data submission to CMIP6.  Adv Atmos Sci, 38(2), 268−284, https://doi.org/10.1007/s00376-020-0173-9


    2020

       Li, J., B. Wang, and Y.-M. Yang, 2020: Diagnostic metrics for evaluating model simulations of the East Asian monsoon. J Clim, 33, 1777-1801.

       Li, J., Y. Yang, and Z. Zhu, 2020: Application of MJO dynamics-oriented diagnostics to CMIP5 Models. Theor Appl Climatol, 141, 673-684. 

       李娟, 闫会平, 朱志伟. 2020: 中国夏季极端气温和降水事件日数随平均气温变化的定量分析. 高原气象. 39(3):532-542

       Zhu, H., Z. Jiang, J. Li et al., 2020: Does CMIP6 Inspire More Confidence in Simulating Climate Extremes over China? Adv Atmos Sci, 37(10), https://doi.org/10.1007/s00376-020-9289-1

       Yang, Y.-M., B. Wang, J. Cao, L. Ma, J. Li, 2020: Improved historical simulation by enhancing moist physical parameterizations in the climate system model NESM3.0. Clim Dyn, 54, 3819–3840.


    2019

       Ma, L., Z. Zhu, J. Li, and J. Cao, 2019: Improving the simulation of the climatology of the East Asian summer monsoon by coupling the Stochastic Multicloud Model to the ECHAM6.3 atmosphere model. Clim Dyn, 532061-2081.

       Ma, L., K. Peters, B. Wang, and J. Li, 2019: Revisiting the impact of Stochastic Multicloud Model on the MJO using low-resolution ECHAM6.3 atmosphere model. J Meteor Soc Japan, 97,977-993.

       曹剑, 马利斌, 李娟, 王斌, 王波, 2019: NUIST-ESM模式及其参与CMIP6的方案. 气候变化研究进展, 5, 566-570.


    2018

      Yang, Y.-M., B. Wang, and J. Li, 2018: Improving Seasonal Prediction of East Asian Summer Rainfall Using NESM3.0: Preliminary Results. Atmosphere, 9, 1-19.

       Li, J., and B. Wang, 2018: Predictability of summer extreme precipitation days over eastern China. Clim Dyn. 51,4543-4554. 

       Li, J., Y.-M. Yang and B. Wang, 2018: Evaluation of NESMv3 and CMIP5 Models’ Performance on Simulation of Asian-Australian Monsoon. Atmosphere, 9, 1-16.

       Cao, J., Wang, B., Yang, Y.-M., Ma, L., Li, J., Sun, B., Bao, Y., He, J., and Zhou, X. 2018: The NUIST Earth System Model (NESM) version 3: Description and preliminary evaluation, Geosci Model Dev, 11,2975-2993.

       Li, J., and B. Wang, 2018: Origins of the decadal predictability of East Asian land summer monsoon rainfall. J Clim, 31,6229-6243. 

       Wang, B., J. Li*, M. Cane, J. Liu, P. Webster, B. Xiang, H-M. Kim, J. Cao, K-J. Ha, 2018: Towards predicting changes in the land monsoon rainfall a decade in advance. J Clim, 31, 2699-2714. 

       Wang, K., Ma, H., J. Li*, Gu, B., Wu, H., 2018: Assessment of the POEM2 model for simulating tropical intraseasonal oscillation. J Trop Meteoro, 24, 323-333.


    2017

       Li, J., Z. Zhu, and W. Dong, 2017: Assessing the uncertainty of CESM-LE in simulating the trends of mean and extreme temperature and precipitation over China. Int J Climatol, 37, 2101-2110.

       Wang, B., J. Li*, and Q. He, 2017: Variable and robust East Asian monsoon rainfall response to El Nino over thepast 60 years (1957–2016). Adv Atmos Sci, 34(10), 1235–1248, doi: 10.1007/s00376-017-7016-3.

       Li, J., B. Wang, and Y.-M. Yang, 2017: Retrospective seasonal prediction of summer monsoon rainfall over West Central and Peninsular India in the past 142 years. Clim Dyn, 48, 2581-2596.

       Li, J., Z. Zhu, and W. Dong, 2017: A new mean-extreme vector for the trends of temperature and precipitation over China during 1960–2013. Meteorol Atmos Phys, 129:273–282. DOI 10.1007/s00703-016-0464-y.


    2016

       Li, J., and B. Wang, 2016: How predictable is the anomaly pattern of the Indian summer rainfall? Clim Dyn, 46, 2847-2861.

       王阔, 马浩, 李娟*, 顾伯辉, 吴浩, 2016: POEM2模式对热带季节内振荡模拟能力的评估. 热带气象学报, 32, 358-367.


    2015

       Wang, B., B. Xiang, J. Li, P. J. Webster, M. N. Rajeevan, J. Liu, and K.-J. Ha, 2015: Rethinking Indian monsoon rainfall prediction in the context of recent global warming. Nat Commun, 6, 7154.

       Cao, J., B. Wang, B. Xiang, J. Li, T. Wu, X. Fu, L. Wu, and J. Min., 2015: Major modes of short-term climate variability in the newly developed NUIST Earth System Model (NESM). Adv Atmos Sci, 32, 585-600.

       Fu, X., W. Wang, J.-Y. Lee, B. Wang, K. Kikuchi, J. Xu, J. Li, and S. Weaver, 2015: Distinctive Roles of Air–Sea Coupling on Different MJO Events: A New Perspective Revealed from the DYNAMO/CINDY Field Campaign. Mon Weather Rev, 143, 794-812.


    2014

       Xiang, B., B. Wang, J. Li, M. Zhao, and J.-Y. Lee, 2014: Understanding the Anthropogenically Forced Change of Equatorial Pacific Trade Winds in Coupled Climate Models. J Clim, 27, 8510-8526.


    2013

       Peng, J., W. Dong, W. Yuan, J. Chou, Y. Zhang, and J. Li, 2013: Effects of increased CO2 on land water balance from 1850 to 1989. Theor Appl Climatol, 111, 483-495. 


    2012

       Li, J., W. Dong, and Z. Yan, 2012: Changes of climate extremes of temperature and precipitation in summer in eastern China associated with changes in atmospheric circulation in East Asia during 1960–2008. Sci Bull, 57, 1856-1861.

  • 近期科研项目:  

    2024/01-2027/12   国家自然科学基金气象联合基金项目(U2342208)  长江中下游持续性高温次季节和年际变率热带外强迫影响机理及其预测研究(骨干)
    2023/01-2027/12   国家重点研发计划重点专项(2022YFF0801702)中纬度海气系统在北极-热带关联中的作用(骨干)
    2020/08-2023/08   江苏省重大人才工程B类特聘教授(主持)
    2020/01-2021/12   中科院大气科学和地球流体力学数值模拟国家重点实验室开放课题  (主持)
    2019/01-2021/12   国家自然科学基金青年项目(41805048)中国东部夏季极端高温/降水日数分布的年际变化机理及其可预报性研究(主持)
    2018/12-2021/11   国家重点研发计划重点专项(2018YFC1505803)10-30天极端天气过程可预报性及其预报理论与方法研究(骨干)
    2018/12-2021/11   国家重点研发计划重点专项(2018YFC1505905)30-90天气候变异信号和影响预测能力的多模式评估(骨干)
    2018/06-2021/06   南京信息工程大学人才启动项目 (主持)