基本信息

李剑东  男  博导  中国科学院大气物理研究所
电子邮件: lijd@mail.iap.ac.cn
通信地址: 中国科学院大气物理研究所
邮政编码: 100029

研究领域

云-辐射-气溶胶-降水物理过程;气候模式评估与改进;卫星资料的气候应用;青藏高原气候效应


招生信息

招收大气科学、地学或数理背景研究生

教育背景

2010-08--2012-09   纽约州立大学Albany分校   博士后
2005-09--2009-06   中国科学院大气物理研究所   博士
2002-09--2005-06   中国气象科学研究院   硕士
1998-09--2002-06   南京信息工程大学   学士

工作经历

2024-01~现在,中国科学院大气物理研究所, 研究员

2017-02~2024-01,中国科学院大气物理研究所, 副研究员

2019-10~2019-11,英国埃克赛特大学, 访问学者

2012-10~2017-01,中国科学院大气物理研究所, 助理研究员

2013-10~2013-11,台湾大学大气科学系, 访问学者

2012-09~2012-10,加拿大国家气候模拟与分析中心, 访问学者

2009-07~2010-07,国家气候中心, 工程师

2004-04~2004-07,西藏那曲气象局外场观测站, 观测员

专利与奖励

2020.07,入选中科院大气所青年科学家实验室成员

2021.06,获评中科院大气所建党100周年优秀共产党员

2022.12,获评中科院大气所2022年度科技创新贡献奖

2023.10,入选中科院第3批特聘研究骨干岗位

奖励信息
(1) 中国科学院大气物理研究所2022年度科技创新贡献奖, 一等奖, 研究所(学校), 2022

出版信息

第1(通讯)作者论文:
Zi, P., Y. M. Liu, Li, J. D.*, R. W. Yang, B. He, and Q. Bao., 2024: Reduced Spring Precipitation Bias and Associated Physical Causes over South China in FGOALS-f3 Climate Models:  Experiments with the Horizontal Resolution. Journal of Meteorological Research, DOI: 10.1007/s13351-024-3200-4.
Li, J. D.*, R. Geen, J. Y. Mao, Y. J. Song, G. K. Vallis, and G. X. Wu, 2023: Mechanical and thermal forcings of Asian large-scale orography on spring cloud amount and atmospheric radiation budget over East Asia. Journal of Climate, 36, 5215–5232, doi:10.1175/JCLI-D-22-0797.1.
Li, J. D.*, Z. Guo, and G .X. Chen, and P. Zi, 2023: Seasonal and interannual characteristics of atmospheric cloud radiative effect over South China and neighboring ocean regions. International Journal of Climatology, 43, 7412–7427, http://doi.org/10.1002/joc.8271.
Hao, S. B., J. D. Li* and J. Y. Mao, 2022: Interannual Relationship of Summer North Atlantic Oscillation with the Subsequent November Precipitation Anomalies over Yunnan in Southwest China. Journal of Meteorological Research, 36(5), 718–732, doi:10.1007/s13351-022-2046-x.
Li, J. D.*, W.-C. Wang, G. X. Chen, and Q. L. You, 2022: Characteristics of Top-of-Atmosphere Radiation Budget over the Tibetan Plateau and Its Bias Sources in Climate Models. Atmospheric Research, doi: 10.1016/j.atmosres.2022.106256.
Li, J. D.*, Z. A. Sun, Y. M. Liu, Q. L. You, G. X. Chen, and Q. Bao, 2021: Top-of-Atmosphere Radiation Budget and Cloud Radiative Effects over the Tibetan Plateau and Adjacent Monsoon Regions from CMIP6 Simulations. Journal of Geophysical Research: Atmospheres, 126, e2020JD034345, doi: 10.1029/2020JD034345.
Li, J. D.*, Q. L. You, and B. He, 2020: Distinctive spring shortwave cloud radiative effect and its inter-annual variation over southeastern China. Atmospheric Science Letters, 21:e970, doi: 10.1002/asl.970.
Huang M., J. D. Li*, G. Zeng, et al., 2020: Regional Characteristics of Cloud Radiative Effects before and after the South China Sea Summer Monsoon Onset. Journal of Meteorological Research, 34(6), 1-16, doi: 10.1007/s13351-020-0018-6.
Wu, Y., Y. M. Liu, J. D. Li*, Q. Bao, B. He, L. Wang, X. C. Wang and J. X. Li, 2021: Analysis of Surface Temperature Bias over the Tibetan Plateau in the CAS FGOALS-f3-L Model. Atmospheric and Oceanic Science Letters, 14(1), 1-7, doi: 10.1016/j.aosl.2020.100012.
Li, J. D.*, W. C. Wang, J. Y. Mao, Z. Q. Wang, G. Zeng and G. X. Chen, 2019: Persistent spring cloud shortwave radiative effect and the associated circulations over southeastern China. Journal of Climate, 32, 3069–3087.
Li, J. D.*, W.-C. Wang, X. Q. Dong, and J. Y. Mao, 2017a: Cloud-radiation-precipitation associations over the Asian monsoon region: an observational analysis. Climate Dynamics, 49(9), 3237–3255.
Li, J. D.*, J. Y. Mao, and F. Wang, 2017b: Comparative study of five current reanalyses in characterizing total cloud fraction and top-of-the-atmosphere cloud radiative effects over the Asian monsoon region. International Journal of Climatology, 37, 5047–5067.
Li, J. D.*, T. H. Wang, and A. Habib, 2017c: Observational characteristics of cloud radiative effects over three arid regions in the Northern Hemisphere. Journal of Meteorological Research, 31(4), 654–664.
Wu, G. X., Z. Q. Li, C. B. Fu, X. Y. Zhang, R. Y. Zhang, R. H. Zhang, T. J. Zhou, J. P. Li, J. D. Li* (通讯作者), D. G. Zhou, L. Wu, L. T. Zhou, B. He, and R. H. Huang, 2016: Advances in studying interactions between aerosols and monsoon in China. Science China: Earth Sciences, 58, 1–16. 吴国雄,李占清,符淙斌,张小曳,张人一,张人禾,周天军,李建平,李剑东*,周德刚,武亮,周连童,何编,黄荣辉,2015: 气溶胶与东亚季风相互影响的研究进展. 中国科学: 地球科学,45,1–19. 
Li, J. D.*, W.-C. Wang, H. Liao, and W. Y. Chang, 2015: Past and future direct radiative forcing of nitrate aerosol in East Asia. Theoretical and Applied Climatology, 121, 445–458.
Li, J. D.*, and J. Y. Mao, 2015: The preliminary evaluation of global and East Asian cloud radiative effects in reanalyses. Atmospheric and Oceanic Science Letters, 8 (2), 100–106.
Li, J. D., W.-C. Wang, Z. A. Sun., G. X. Wu, H. Liao, and Y. M. Liu, 2014: Decadal variation of East Asian radiative forcing due to anthropogenic aerosols during 1850–2100 and the role of atmospheric moisture. Climate Research, 61(3), 241–257.
Li, J. D., Z. A. Sun, Y. M. Liu, J. N. Li, W.-C. Wang, and G. X. Wu, 2012: A study on sulfate optical properties and direct radiative forcing using the LASG-IAP general circulation model. Advances in Atmospheric Sciences, 29(6), 1185–1199.
Li, J. D., Y. M. Liu, and G. X. Wu, 2009: Cloud Radiative Forcing in Asian Monsoon Region Simulated by IPCC AR4 AMIP Models. Advances in Atmospheric Sciences, 26(5), 923–939.
郭珊珊, 李剑东*, 袁俊鹏,冯涛, 2022: 云南区域夏季风雨季爆发前后大气热源和云量特征. 大气科学,doi:10.3878/j.issn.1006-9895.2211.22105. (通讯作者)
宋晓辉, 杜亮亮, 李剑东*, 程晓丹, 张珺, 2020: 邯郸采暖期环境污染特征及基于BP神经网络的空气质量预报方法研究. 生态与农村环境学报, 36(8):998–1005. (通讯作者)
李剑东*,毛江玉,王维强,2015: 大气模式估算的东亚区域人为硫酸盐和黑碳气溶胶辐射强迫及其时间变化特征. 地球物理学报,58(4),1103–1120.
李剑东,刘屹岷,吴国雄,2010:积云对流和云物理过程调整对气候模拟的影响. 大气科学,34(5),891–904.
李剑东,刘屹岷,孙治安,吴国雄,2009:辐射和积云对流过程对大气辐射通量的影响. 气象学报,67(3),355–369.
李剑东,卞林根,高志球等,2005:北冰洋浮冰区近冰层湍流通量计算方法比较. 冰川冻土,27(3),368–375.
合作作者论文:
Xiaoqing Liao, Christopher E. Holloway, Xiangbo Feng, Chunlei Liu, Xinyu Lyu, Yufeng Xue, Ruijuan Bao, J. D. Li, F. L. Qiao, 2023: Observed interannual relationship between ITCZ position and tropical cyclone frequency. Journal of Climate, https://doi.org/10.1175/JCLI-D-22-0865.1.
Wang, W. L., M. F. Méndez, F. Elmer, G. Gao, Y. Y. Zhao, Y. Y. Han, J. D. Li, F. Chai and M. H. Dai, 2023: Ocean afforestation is a potentially effective way to remove carbon dioxide. Nature Communications, NCOMMS-22-19688, in press.
Wang, Y. X., S. X. Yang, G. X. Chen, Q. Bao, and J. D. Li, 2022: Evaluating two diagnostic schemes of cloud-fraction parameterization using the CloudSat data. Atmospheric Research, 282, 106510, DOI: 10.1016/j.atmosres.2022.106510
Wang, Z. Q., S. Yang, H. L. Luo, J. D. Li, 2022: Drying tendency over the southern slope of the Tibetan Plateau in recent decades: role of a CGT-like atmospheric change. Climate Dynamics, 59:2801–2813, https://doi.org/10.1007/s00382-022-06262-9
Chen, G. X., W.-C. Wang, Q. Bao, and J. D. Li,2022:Evaluation of simulated cloud diurnal variation in CMIP6 climate models. Journal of Geophysical Research: Atmospheres, 127, e2021JD036422, doi:10.1029/2021JD036422.
Sun, Z., J. Li, G. Shi, J. Manners, and J. D. Li, 2020: Fast scheme for determination of direct normal irradiance. Part II: Parameterization of circumsolar radiation. Solar Energy, 199, 256–267.
He, B., Y. M. Liu, G. X. Wu, Q. Bao, T. J. Zhou, X. F. Wu, J. D. Li, et al., 2020: CAS FGOALS-f3-L Model Datasets for CMIP6 GMMIP Tier-1 and Tier-3 Experiments. Advances in Atmospheric Sciences, 37, 18–28.
Li, J. X., Q. Bao, Y. M. Liu, G. X. Wu, L. Wang, B. He, X. C. Wang and J. D. Li, 2019: Evaluation of FAMIL2 in Simulating the Climatology and Seasonal-to-Interannual Variability of Tropical Cyclone Characteristics. Journal of Advances in Modeling Earth Systems, 11, 1117–1136.
Wang, L., Q. Bao, W. C. Wang, Y. M. Liu, G. X. Wu, L. J. Zhou, J. D. Li, H. Gong, G. K. Nian, J. X. Li, X. C. Wang, B. He, 2019: LASG Global AGCM with a Two-moment Cloud Microphysics Scheme: Energy Balance and Cloud Radiative Forcing Characteristics. Advances in Atmospheric Sciences, 36(7), 697–710.
He, B., Y. M. Liu, G. X. Wu, Q. Bao, T. J. Zhou, X. F. Wu, L. Wang, J. D. Li, et al. 2019: CAS FGOALS-f3-L Model datasets for CMIP6 Historical Atmospheric Model Intercomparison Project Simulation. Advances in Atmospheric Sciences, 36, 771–778.
Zhou, T. J., B. Wang, Y. Q. Yu, Y. M. Liu, W. P. Zheng, L. J. Li, B. Wu, P. F. Lin, Z. Guo, W. M. Man, Q. B. Bao, A. M. Duan, H. L. Liu, X. L. Chen, B. He, J. D. Li, L. W. Zou, X. C. Wang, L. X. Zhang, Y. Sun, W. X. Zhang, 2018. The FGOALS climate system model as a modeling tool for supporting climate sciences: An overview. Earth and Planetary Physics, 2(4), 276–291.
Xie, X., X. Liu, H. Che, X. Xie, H. Wang, J. D. Li, Z. G. Shi, Y. G. Liu, 2018: Modeling East Asian dust and its radiative feedbacks in CAM4-BAM. Journal of Geophysical Research: Atmospheres, 123, 1079–1096.
Chang, W. Y., J. Q. Zhan, Y. Zhang, Z. Q. Li, J. Xing, and J. D. Li, 2018: Emission-driven changes in anthropogenic aerosol concentrations in China during 1970–2010 and its implications for PM 2.5 control policy. Atmospheric Research, 212, 106–119.
He Y. J., Z. A. Sun, G. P. Shi, J. M. Liu and J. D. Li, 2017: Modification of SUNFLUX scheme with a new aerosol parameterization and its validation using observations at BSRN and SURFRAD networks. Advances in Atmospheric Sciences, 34(11), 1301–1315.
Xie, X. N., H. L. Wang, X. D. Liu, J. D. Li, Z. S. Wang, and Y. G. Liu, 2016: Distinct effects of anthropogenic aerosols on the East Asian summer monsoon and precipitation between multi-decadal strong and weak monsoon stages. Journal of Geophysical Research: Atmospheres, 121, 7026–7040.
Sun, Z, J. N. Li, Y. J. He, J. D. Li, A. X. Liu, and F. Zhang, 2016: Determination of direct normal irradiance including circumsolar radiation in climate/NWPmodels. Quarterly Journal of The Royal Meteorological Society, 142, 2591–2598.
Li, J. Y., B. Q. Liu, J. D. Li, and J. Y. Mao, 2015: A comparative study on the dominant factors responsible for the weaker-than-expected El Nino event in 2014. Advances in Atmospheric Sciences, 32(10), 1381–1390.
Zhou L. J., Q. Bao, Y. M. Liu, G. X. Wu, W. C. Wang, X. C. Wang, B. He, H. Y. Y, J. D. Li, 2015: Global Energy and Water Balance: Characteristics from Finite-volume Atmospheric Model of the IAP/LASG (FAMIL1). Journal of Advances in Modeling Earth Systems, 7, 1–20.
He, B., Q. Bao, J. D. Li, G. X. Wu, Y. M. Liu, X. C. Wang, and Z. B. Sun, 2013: Influences of external forcing changes on the summer cooling trend over East Asia. Climatic Change, 117, 829–841.
Bao, Q., P. F. Lin, T. J. Zhou, Y. M. Liu, Y. Q. Yu, G. X. Wu, B. He, J. He, L. J. Li, J. D. Li, and Coauthors, 2013: The Flexible Global Ocean-Atmosphere-Land System model, Spectral Version 2: FGOALS-s2. Advances in Atmospheric Sciences, 30(3), 561–576.
张华, 王菲, 汪方, 李剑东, 陈晓龙, 王在志, 李建, 周喜讯, 王秋艳, 王海波, 游婷, 谢冰, 陈琪, 端义宏,2022:全球气候变化中的云辐射反馈作用研究进展,中国科学,52(3),400-417, doi: 10.1360/SSTe-2021-0052.
游庆龙,康世昌,李剑东,陈德亮,翟盘茂,吉振明,2021:青藏高原气候变化若干前沿科学问题. 冰川冻土,43(3):885–901.
张华,谢冰,刘煜,汪方,王在志,张金强,李剑东,胡斯勒图,尚华哲,陈勇航,宣越建, 2017: 东亚地区云对地球辐射收支和降水变化的影响研究. 中国基础科学,5,18–22.
王欣,卞林根,彭浩,李剑东,2005:风廓线仪系统探测试验与应用. 应用气象学报,16(5),693–698.
论著:
《云辐射和降水》,2023年2月,气象出版社,分别以第3和第1作者参与第1和2章.
《中国大百科全书》第三版,2021年7月,中国大百科全书出版社,主笔大气科学条目:“地球辐射平衡”、“阳伞效应”和“大气臭氧”.
Li, J. D., G. X. Wu, Y. M. Liu, and W.-C. Wang, 2014: Radiative process and sulfate direct effect in FGOALS-s2. Flexible Global Ocean-Atmosphere-Land System Model: A Modeling Tool for the Climate Change Research Community. Springer Earth System Sciences, p357–364. doi: 10.1007/978-3-642-41801-3_42.


科研项目

[1] 国家自然科学基金面上项目,青藏高原热动力强迫对中国东南部春季云和大气辐射收支的影响,42275026,2023/01-2026/12,70万,主持。
[2] 国家自然科学基金面上项目,中国东南部春季云辐射效应及其对区域环流季节内演变的影响,41975109,2020/01-2023/12,74万,主持。
[3] 国家自然科学基础科学中心项目,海-陆-气系统与北半球中高纬极端天气气候,42288101,2023/01-2027/12,中科院大气所参加成员。
[4] 科技部重点研发计划,“全球-区域一体化非静力海洋模式及其耦合模式的研制和应用”,2022YFF0802000,第3课题大气环流模式FAMIL高分辨率版本研发,2022YFF0802003,80万,骨干。
[5] 国家自然科学基金重点项目,青藏高原及周边大气水循环过程多尺度变化特征及其天气气候效应,91837204,2019/01-2022/12,30万,骨干。
[6] 国家自然科学基金重点项目,青藏高原和东亚地表位涡制造对我国东部强降水天气过程的影响,41730963,2018/01-2022/12,30万,骨干。
[7] 国家自然科学基金委重大研究计划集成项目,高分辨率陆-气耦合气候系统模式研制及在青藏高原区域的模拟性能评估,91737306,2018/01-2020/12,30万,骨干。
[8] 科技部重点研发计划,东亚地区云对地球辐射收支和降水变化的影响研究,2017YFA0603503,2017/08-2022/07,92万,专题组长。
[9] 国家自然科学基金青年项目,气溶胶对中国东部冬季低云微物理特性及云辐射效应的影响研究,41505130,2016/01-2018/12,25万,主持。
[10] 英国牛顿基金和英国气象局CSSP计划2020年度项目CH19/4, “Dynamics of East Asian monsoon variability and climate change”第2课题“Thermodynamical interactions with the East Asian Summer Monsoon and their simulation in CMIP5 and 6”,2020/01-2020/12,骨干。
[11] 广东省基础与应用基础研究重大项目“泛南海海洋-陆地-大气相互作用及重大灾害预测预警研究”,2021/01-2024/12,课题骨干。
[12] 中国科学院战略性先导科技专项(B类)“亚太多尺度气候环境变化动力学”,XDB40000000,工业革命以来海陆气相互作用的气候环境影响,XDB40030204,2020/01-2024/12,60万,骨干。
[13] 中国科学院战略性先导科技专项(A类)课题 “青藏高原平流层-对流层交换观测研究”第5子课题,XDA17010105-02,平流层-对流层物质交换过程及影响研究,2018/01-2022/12,30万,骨干。
[14] 中国科学院前沿科学重点研究项目,位涡源汇模型和全球变暖区域气候效应的新机制,QYZDY-SSW-DQC018,2016/08-2021/07,30万,骨干。
[15] 中国科学院战略性先导科技专项,东印暖池对年际气候变化信号的影响和响应,XDA11010402,2013/07-2017/06,30万,骨干。
[16] 国家重大科学研究计划项目,云、气溶胶气候效应的观测与模拟研究,2013CB955803,2013/01-2017/08,209万,子课题组长。
[17] 国家重大科学研究计划项目,全球典型干旱半干旱地区气候变化及其影响,2012CB955303,2012/01-2016/08,56万元,骨干。
[18] 北京师范大学地表过程与资源生态国家重点实验室开放课题,云对2000年以来中国东部春季地表辐射的影响,2022-KF-05,2022/07-2023/12,主持。
[19] 南京信息工程大学气象灾害教育部重点实验室开放课题,气溶胶对中国东部地区冬季云辐射效应的影响研究,KLME1409,2015/01-2016/12,主持。
[20] 中国科学院地球环境研究所黄土与第四纪地质国家重点实验室开放课题,气溶胶对我国中东部地区云辐射强迫长期变化趋势的影响研究,SKLLQG1407,2015/01-2016/12,主持。


合作情况

中山大学;南京信息工程大学;复旦大学;国家气候中心;中国气象科学研究院;广东海洋大学;兰州大学;北京师范大学;美国纽约州立大学Albany分校;英国埃克赛特大学、伯明翰大学和雷丁大学

指导学生

已指导学生

郝沙彬  博士研究生  070601-气象学