姜智娜
研究员,博士生导师中国气象科学研究院全球变化与极地研究所，研究员，博导。
主要从事极端天气、中高纬大气环流可预报性以及海-冰-气相互作用等方面的研究。先后主持国家自然科学基金青年基金、国家自然科学基金面上基金、公益性行业科研重点专项、气象预报业务关键技术发展专项等项目。发表期刊论文四十余篇，其中第一（含通讯）作者论文三十余篇。先后入选中国气象科学研究院“优秀青年”、中国气象局直属机关“优秀青年”、中国气象科学研究院高层次人才培养计划“科技领军人才”、“华云优秀导师”。
教育经历：
1997.9-2001.7 中国海洋大学 本科
2001.9-2004.7 中国海洋大学 硕士
2004.9-2007.7 中国科学院大气物理研究所 博士
工作经历：
2007.7 - 2009.8 中国气象科学研究院，助研。
2009.9 - 2017.11，中国气象科学研究院 ，副研。
2012.8 - 2013.1，宾夕法尼亚州立大学，访问学者。
2019.2 - 2019.9，宾夕法尼亚州立大学，访问学者。
2017.12 - 至今，中国气象科学研究院，研究员。
论文列表
1) Jiang Zhina*, Bai Zijian and Yao Yao, 2026: Physical mechanism of winter extreme sea ice decline events from a pan-Arctic viewpoint. Atmospheric Research, 345(2027), 109385.
2) Hu Xia, Jiang Zhina*, Li Yijiao, Dai Guokun and Ma Libin, 2026: Abrupt Arctic sea ice decline on synoptic timescale during summer: physical processes and background climate impacts. Journal of Meteorological Research, 40(2026), 138-155. doi:10.1007/s13351-026-4217-7.
3) Ding Minghu, Zhang Qinglin, Wang Xin, Li Zhiqiang, Yu Yong, Bian Lingen, Jiang Zhina, Lin Xiang, Ren Shihe, Su Jie, Tian Biao, Wang Sai, Wu Qingyuan, Yu Yining, Zhang Dongqi, Zhang Lei, Zhang Wenqian, Zhao Shoudong and Zhu Kongju, 2026: State of Polar Climate (2025). Advances in Climate Change Research, https://doi.org/10.1016/j.accre.2026.04.017.
4) Hu Xia, Jiang Zhina*, Zhong Linhao, Ding Minghu and Zhang Lei, 2025: Changes of atmospheric warming associated with rapid sea ice loss events on the synoptic time scale in winter. Atmospheric Research, 322, 108129.
5) Hu Xia, Jiang Zhina*, Yao Yao and Dai Guokun, 2025: Arctic sea ice whiplash modes investigated from a pan-Arctic viewpoint: atmospheric drivers and feedbacks. Environmental Research Communications, 7, 105014.
6) Ding Minghu, Wang Xin, Bian Lingen, Jiang Zhina, Lin Xiang, Ren Shihe, Su Jie, Tian Biao, Wang Sai, Yu Yining, Zhang Dongqi, Zhang Lei, Zhang Wenqian, Zhao Shoudong and Zhu Kongju, 2025: State of Polar Climate (2024). Advances in Climate Change Research, https://doi.org/10.1016/j.accre.2025.06.001.
7) Hu Xia, Jiang Zhina* and Dai Guokun, 2024: Atmospheric temperature changes during rapid sea ice loss over Barents-Kara Seas in winter. Quarterly Journal of the Royal Meteorological Society, 150, 5535-5547.
8) Jiang Zhina*, Ding Minghu, Zhong Linhao, Li Yijiao and Hu Xia, 2024: Seasonal variations of Arctic clouds in recent 14 years using CALIPSO product. Atmospheric Research, 309(2024), 107598.
9) Li Yijiao, Jiang Zhina*, Dai Guokun and Ding Minghu, 2024: The enhanced synoptic sea ice variation over Arctic Pacific Ocean during summer half year. Advances in Polar Science, 35, 438-448.
10) Li Yijiao, Jiang Zhina*, Yao Yao, Ding Minghu and Zhang Lei, 2024: Two distinct declining trend of autumn Arctic sea ice concentration before and after 2002. Environmental Research Communications, 6, 035018.
11) Ding Minghu, Wang Xin, Bian Lingen, Jiang Zhina, Lin Xiang, Qu Zhifeng, Su Jie, Wang Sai, Wei Ting, Zhai Xiaochun, Zhang Dongqi, Zhang Lei, Zhang Wenqian, Zhao Shoudong and Zhu Kongju, 2024: State of Polar Climate in 2023. Advances in Climate Change Research, https://doi.org/10.1016/j.accre.2024.08.004.
12) Luo Binhe, Luo Dehai, Dai Aiguo, Xiao Cunde, Simmonds Ian, Hanna Edward, Overland James, Shi Jiaqi, Yao Yao, Duan Wansuo, Liu Yimin, Zhang Qiang, Xu Xiyan, Diao Yina, Jiang Zhina and Gong Tingting, 2024: Rapid summer Russian Arctic sea-ice loss enhances the risk of recent Eastern Siberian wildfire. Nature Communications, 15, 5399.
13) Jiang Zhina*, Feldstein Steven B. and Lee Sukyoung, 2023: Why does the upward surface turbulent heat flux resulting from sea ice loss last only for a few days? Quarterly Journal of the Royal Meteorological Society, 149, 984-993.
14) Dai Guokun, Ma Xueying, Mu Mu, Han Zhe, Li Chunxiang, Jiang Zhina and Zhu Mengbin, 2023: Optimal Arctic sea ice concentration perturbation in triggering Ural blocking formation. Atmospheric Research, 289, 106775.
15) Dai Guokun, Mu Mu, Han Zhe, Li Chunxiang, Jiang Zhina, Ma Xueying and Zhu Mengbin, 2023: The influence of Arctic sea ice concentration perturbations on subseasonal predictions of North Atlantic Oscillation events. Advances in Atmospheric Sciences, 40(2023), 2242-2261.
16) Li Chunxiang, Mu Mu, Dai Guokun, Han Zhe, Ma Xueying, Jiang Zhina and Zheng Jiayu, 2023: The influence of Arctic sea ice concentration on extended-range forecasting of cold events in East Asia. Advances in Atmospheric Sciences, 40(2023), 2224-2241.
17) Duan Shengni, Jiang Zhina* and Wen Min, 2022: Modelled realistic daily variation in low winter sea ice concentration over the Barents Sea amplify Asian cold events. Polar Research, 41(2022), 7834.
18) Ma Xueying, Mu Mu, Dai Guokun, Han Zhe, Li Chunxiang and Jiang Zhina, 2022: Influence of Arctic sea-ice concentration on extended-range prediction of Ural blocking events in winter. Journal of Geophysical Research: Atmospheres, 127, e2021JD036282.
19) Jiang Zhina*, Feldstein Steven B. and Lee Sukyoung, 2021: Two atmospheric responses to winter sea ice decline over the Barents-Kara Seas. Geophysical Research Letters, 48(2021), e2020GL090288.
20) 段升妮，姜智娜*，2021：冬季北半球大气对巴伦支海海冰异常的敏感性研究。气象学报，79(2)，209-228。
21) Zhuo Wenqin and Jiang Zhina*, 2020: Possible links between Arctic sea ice loss events and cold Eurasian anomalies in winter. Journal of Meteorological Research, 34, 1214-1225.
22) Zhuo Wenqin and Jiang Zhina*, 2020: A possible mechanism for winter sea ice decline over the Bering Sea and its relationship with cold events over North America. Journal of Meteorological Research, 34, 575-585.
23) Jiang Zhina*, Zhang Da-Lin and Liu H. B., 2020: Roles of synoptic to quasi-monthly disturbances in generating two pre-summer heavy rainfall episodes over South China. Advances in Atmospheric Sciences, 37, 211-228.
24) Dai Guokun, Mu Mu and Jiang Zhina, 2019: Targeted observations for improving predictions of the NAO event onset. Journal of Meteorological Research, 33, 1044-1059.
25) Dai Guokun, Mu Mu and Jiang Zhina*, 2019: An evaluation of forecast skill for North Atlantic Oscillation onsets. Advances in Atmospheric Sciences, 36, 753-765.
26) Jiang Zhina*, Feldstein Steven B. and Lee Sukyoung, 2017: The relationship between the Madden-Julian Oscillation and the North Atlantic Oscillation. Quarterly Journal of the Royal Meteorological Society, 143, 240-250.
27) Jiang Zhina*, Zhang Da-Lin, Xia Rudi and Qian Tingting, 2017: Diurnal variations of pre-summer rainfall over southern China. Journal of Climate, 30, 755-773.
28) Dai Guokun, Mu Mu and Jiang Zhina*, 2016: Relationships between optimal precursors triggering NAO onset and optimally growing initial errors during NAO prediction. Journal of the Atmospheric Sciences, 73, 293-317.
29) Jiang Zhina*, Wang Xin and Wang Donghai, 2015: Exploring phase strength asymmetry of the North Atlantic Oscillation by using conditional nonlinear optimal perturbation. Advances in Atmospheric Sciences, 32, 671-679.
30) Mu Mu, Wang Qiang, Duan Wansuo and Jiang Zhina, 2014: Application of conditional nonlinear optimal perturbation to targeted observation studies of the atmosphere and ocean. Journal of Meteorological Research, 28, 923-933.
31) Jiang Zhina*, Mu Mu and Luo Dehai, 2013: A study of the North Atlantic Oscillation using conditional nonlinear optimal perturbation. Journal of the Atmospheric Sciences, 70(2013), 855-875.
32) Jiang Zhina* and Wang Donghai, 2012: Conditional nonlinear optimal perturbations: behaviour during the evolution of cold vortices over Northeast China. Quarterly Journal of the Royal Meteorological Society, 138, 198-208.
33) Jiang Zhina* and Wang Donghai, 2012: The behaviors of optimal precursors during the wintertime Eurasian blocking onset. Advances in Atmospheric Sciences, 29, 1174-1184.
34) Mu Mu and Jiang Zhina*, 2011: Similarities between optimal precursors that trigger the onset of blocking events and optimally growing initial errors in onset prediction. Journal of the Atmospheric Sciences, 68, 2860-2877.
35) Jiang Zhina* and Wang Donghai, 2011: Nonlinearity and finite-time instability in a T21L3 quasi-geostrophic model. Acta Meteorologica Sinica, 25, 419-429.
36) Jiang Zhina*, Mu Mu and Wang Donghai, 2011: Optimal perturbations triggering weather regime transitions: onset of blocking and strong zonal flow. Advances in Atmospheric Sciences, 28, 59-68.
37) Jiang Zhina* and Wang Donghai, 2010: A study on precursors to blocking anomalies in climatological flows by using conditional nonlinear optimal perturbations. Quarterly Journal of the Royal Meteorological Society, 136, 1170-1180.
38) Jiang Zhina* and Mu Mu, 2009: A comparison study of the methods of conditional nonlinear optimal perturbations and singular vectors in ensemble prediction. Advances in Atmospheric Sciences, 26, 465-470.
39) Jiang Zhina*, Mu Mu and Wang Donghai, 2009: Ensemble prediction experiments using conditional nonlinear optimal perturbation. Science in China Series D: Earth Sciences, 52, 511-518.
40) Jiang Zhina*, Mu Mu and Wang Donghai, 2008: Conditional nonlinear optimal perturbation of a T21L3 quasi-geostrophic model. Quarterly Journal of the Royal Meteorological Society, 134, 1027-1038.
41) Mu Mu and Jiang Zhina, 2008: A method to find perturbations that trigger blocking onset: conditional nonlinear optimal perturbations. Journal of the Atmospheric Sciences, 65, 3935-3946.
42) Mu Mu and Jiang Zhina, 2008: A new approach to the generation of initial perturbations for ensemble prediction: conditional nonlinear optimal perturbation. Chinese Science Bulletin, 53, 2062-2068.
43) 王东海，柳崇健，刘英，魏凤英，赵南，姜智娜，李英，陈菊英，王亚非，施晓晖，徐祥德，2008：2008年1月中国南方低温雨雪冰冻天气特征及其天气动力学成因的初步分析。气象学报，66(3)，405-422。
44) Duan Wansuo, Jiang Zhina and Xu Hui, 2007: Progress in predictability studies in China (2003-2006). Advances in Atmospheric Sciences, 24, 1086-1098.
45) Jiang Zhina*, 2006: Applications of conditional nonlinear optimal perturbation to the study of stability and sensitivity of Jovian atmosphere. Advances in Atmospheric Sciences, 23, 775-783.
46) Jiang Zhina and Luo Dehai, 2005: Study of the optimal precursors for blocking events. Advances in Atmospheric Sciences, 22, 408-414.
47) 姜智娜，罗德海，刁一娜，2005：行星尺度阻塞波和天气尺度波相互作用的数值模拟。青岛海洋大学学报，35(6)，895-899。
48) 黄菲，姜智娜，2002：欧亚大陆阻塞高压的统计特征及其与中国东部夏季降水的关系。青岛海洋大学学报，32(2)，186-192。
英文论著：
Jiang Zhina, Wang Hongli, Zhou Feifan and Mu Mu, 2009: Applications of conditional nonlinear optimal perturbations to ensemble prediction and adaptive observation. In: Park Seon K. and Xu Liang (eds.), Data Assimilation for Atmospheric, Oceanic, and Hydrologic Applications. Springer-Verlag, Berlin, 290 pp.
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