刘奇


助理教授(特任研究员,博士生导师)


Email: qiliu@nju.edu.cn

招生信息
 招生计划为每年招收硕士研究生1-2名,博士研究生1名。
 本年度还有招生名额,欢迎具有大气科学/应用气象、流体力学、大数据/统计学、计算机等学科背景的员工邮件咨询报考事宜。
教育背景
 2014.09 - 2021.03直博,太阳成集团tyc234cc
 2017.11 - 2019.05美国佛罗里达州立大学 (博士联合培养)
 2010.09 - 2014.06本科,太阳成集团tyc234cc
工作经历
 2025.07 至今准聘助理教授,太阳成集团tyc234cc
 2021.05 - 2025.06助理研究员,太阳成集团tyc234cc
研究方向

   气候变化及气候动力学

   天气尺度变率及其影响(极端事件、公共健康和生态等)

   东亚季风变异及天气尺度涡街波动

代表性著作

气候变化与极端事件、天气尺度变率

[1] Liu Qi, Fu Congbin*, Xu Zhongfeng, Ding Aijun. (2025). Global warming intensifies extreme day-to-day temperature changes in mid–low latitudes. Nature Climate Change, https://doi.org/10.1038/s41558-025-02486-9(基于天气尺度变率定义一类极端事件,揭示了全球变暖背景下,“天气忽冷忽热”现象为主要特征的极端日际气温变化事件的时空特征、驱动机制及其健康影响)2025年度中国气候研究重大进展、CCTV1的3分钟科普短片新闻报道

[2] Liu Qi†, Tan Zhe-Min†, Sun Jie, Hou Yayi, Fu Congbin*, Wu Zhaohua*.(2020). Changing rapid weather variability increases influenza epidemic risk in a warming climate. Environmental Research Letters, 15: 044004.(研究揭示了在气候变暖背景下天气尺度变率会显著升高北半球中纬度流感流行的风险,分析出秋季天气尺度变率超前影响冬季流感峰强度)Nature Reviews Earth & Environment研究亮点,被世界气象组织第一份气候影响疫情报告多次引用,被美国气象学会前主席Mashall Shepherd院士撰文推介,引用101次

[3] Ge Jun†, Liu Qi†, Zan Beilei, Lin Zhiqiang, Lu Sha, Qiu Bo, Guo Weidong. (2022). Deforestation intensifies daily temperature variability in the northern extratropics. Nature Communications, 13: 5955. (博士论文中提出了对天气尺度变率的诊断方法,研究揭示了森林砍伐会加剧北半球温带与寒带地区的天气尺度变率)

[4] Guzailinuer Yasen, Liu Qi*, Guo Weidong, et al. (2025). Rapid increase in the United States influenza epidemics driven by anthropogenic rapid temperature variations during the autumn transition period. Advances in Climate Change Researchhttps://doi.org/10.1016/j.accre.2026.04.007.(通讯作者)(研究发现人为气溶胶下降和温室气体上升增强了美国天气尺度变率,驱动美国流感强度快速上升)

[5] Liu Qi, Fu Congbin*, Xu Zhongfeng*.(2024). Revisiting two indices measuring high‐frequency daily variability. International Journal of Climatology, 44(8): 2792-2807.(比较了两种表征高频气候变率的指标的差异:标准差指数和日际气温变化指数,揭示了日际气温变化指数可以有效表征天气尺度变率)

[6] Liu Qi, Fu Congbin* (2026). Interannual variations in the day-to-day temperature variability in the northern hemisphere and possible causalities. Journal of Geophysical Research: Atmospheres, 131, e2025JD045754. (分析了北半球天气尺度变率的年际变化特征,揭示了冬季和夏季东亚天气尺度变率分别受水平平流作用和降水变率的影响)(AGU Editors' Highlight)

[7] Gan Ruyu, Hu Kaiming*, Liu Qi*, et al. (2026). Asymmetric response of day-to-day temperature variability to CO₂ forcing over Northern Hemisphere mid–high latitudes. npj Climate and Atmospheric Sciences 9, 102.(通讯作者)(研究揭示CO2移除情景下北半球高纬度天气尺度变率的不对称响应)

[8] Xu Zhongfeng, Huang Fang, Liu Qi, Fu Congbin*. (2020) Global pattern of historical and future changes in day-to-day temperature variability. Environmental Research Letters, 15: 124073. doi: 10.1088/1748-9326/abccf3(系统分析了全球天气尺度变率的历史及未来变化)


青藏高原绕流涡街与东亚天气至季节内尺度振荡

[9] Liu Qi, Wu Zhaohua*, Tan Zhe-Min, Yang Fucheng, Fu Congbin*.(2023) The atmospheric vortex streets and their impact on precipitation in the wake of the Tibetan Plateau. Atmosphere, 14(7): 1096.(纪念叶笃正院士专刊特邀稿)(从流体力学基本原理出发,对青藏高原绕流涡街进行了系统性的定量论证,原创性提出“青藏高原绕流涡街系统是影响东亚梅雨锋主雨带的重要机制”,证实“青藏高原绕流涡街是东亚3至5天尺度降水变率的重要来源”)

[10] Liu Qi, Fu Congbin*, Xu Zhongfeng.(2025). The key role of abnormal Vortex Street-like system in the Tibetan plateau’s wake in modulating extreme June-July rainfall events over Eastern China (2020 and 2024). Climate Dynamics, 63(5): 216. (初步揭示涡街系统与上下游西风带、西太副高的协同作用机制:上游西风强度和绕流影响了涡街的生成与强度;下游西太副高西北侧气流与西风带共同为涡街的东传提供了导向基本流。分析了涡街活动指标(强度、传播线、东传速度、脱落周期等),并应用于分析中国东部强降水事件)

[11] Liu Qi, Fu Congbin*, Xu Zhongfeng, et al.(2025).Strong contributions of abnormal vortex street-like system in the Tibetan Plateau's wake to record-breaking strong rainfall over southern China in April 2024. Journal of Climate, 38(23):6893-6906. (揭示 ENSO 信号可通过影响青藏高原绕流涡街系统,进一步影响东亚降水。该机制解释了2024年4月华南破纪录强降水事件)

[12] Liu Qi, Zhou Tianjun, Mao Huiting, Fu Congbin*.(2019). Decadal variations in the relationship between the western Pacific subtropical high and summer heat waves in East China. Journal of Climate, 32: 1627–40. (西太副高与中国东部主雨带演变(及极端高温)的关系受太平洋年代际振荡调制,当太平洋年代际振荡处于正位相时印度洋电容器效应增强,导致西太副高显著西伸,此时副高与主雨带关系更为密切。引用118次)

[13] Gan Ruyu, Liu Qi*, Huang Gang*, Hu Kaiming, Li Xichen. (2023). Greenhouse warming and internal variability increase extreme and central Pacific El Niño frequency since 1980. Nature Communications, 14: 394.(通讯作者)(指明 1980s 以后,超强型和温和中部型厄尔尼诺增多,温和东部型减少。这一变化由温室气体外强迫叠加自然变率(AMO)共同导致,并造成东亚气温响应的显著差异。)


其它研究

[14] Chu Bowen, Chen Renjie, Liu Qi, Wang Haikun*.(2023). Effects of high temperature on COVID‐19 deaths in US counties. Geohealth, 7(3): e2022GH000705.

[15] Gan Ruyu, Hu Kaiming*, Huang Gang*, Ma Xiaofan, Liu Qi. (2026). Shifts in the annual cycle and associated impacts on Northern Hemisphere summer onset under global warming. Geophysical Research Letters, 53, e2025GL120126.





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