袁潮霞，博士，南京信息工程大学未来技术学院教授、博导、副院长。先后于南京大学和东京大学取得理学本科、硕士和博士学位，历任东京大学特任研究员、日本海洋研究开发机构博士后研究员、南京信息工程大学大气科学学院教授，目前兼职日本海洋研究开发机构客座研究员、名古屋大学空间地球环境研究所国际顾问委员会委员、 江苏省气象协会台风与热带海洋学科委员会委员。曾获日本政府奖学金、日本学术振兴会（JSPS）fellow、笹川研究助成、JAMSTEC研究开发功绩赏等。主要从事气候动力、极端天气和AI气象等，先后主持和参与多项国家自然科学基金以及科技部重点研发计划，发表SCI论文40多篇。

研究领域

气候动力，极端天气气候，气候预测，AI气象

科研成果

International Journals

42. Yang, Y. and C. Yuan*, 2025, Causality of compound extreme heat-precipitation events in Northeastern China. Atmos. Res., doi:10.1016/j.atmosres.2025.107975

41. Wei, Y., C. Yuan*, H.-C. Chen and J.-J. Luo, 2025, On the Slow Decay of El Niño in CMIP6 Models, Geophys. Res. Lett., https://doi.org/10.1029/2024GL112518  

40. Zhou, A. and C. Yuan*, 2024, Global warming intensifies once-in-a-decade extreme precipitation in summer in China, Atmos. Ocean. Sci. Lett, https://doi.org/10.1016/j.aosl.2024.100561.

39. Shen, Z., et al., 2024, Current progress in subseasonal-to-decadal prediction based on machine learning. Applied Computing and Geosci., https://doi.org/10.1016/j.acags.2024.100201

38. Qi, Z., et al., 2024, Incorporation crisis lifecycle theory into full-stage flash drought spatio-termporal pattern identification and risk analysis. J. Hydrology, doi:10.1016/j.jhydrol.2024.131828

37. Lu, X., T. Doi, C. Yuan*, J.-J. Luo, S. K. Behera and T. Yamagata, 2024, Anatomy of the 2022 scorching summer in the Yangtze River Basin using the SINTEX-F2 seasonal prediction system, Geophys. Res. Lett., doi:10.1029/2024GL109554

36. Zhou, A. C. Yuan*, J.-J. Luo and T. Yamagata, 2024, Warming tropical Indian Ocean wets the Tibetan Plateau, Geophys. Res. Lett., doi:10.1029/2024GL108989

35. Wang et al., 2024, Waming climate is helping human beings run faster, jump higher and throw farther through less dense air, npj Clim. Atmos. Sci., doi: 10.1038/s41612-024-00635-z

34. Gao, Z. and C. Yuan*, 2024, Changes in BSISO under global warming in CMIP6 models, Adv. Atmos. Sci., doi: 10.1007/s00376-024-3300-1.

33. Chen, A. and C. Yuan*, 2024, Deep learning-based spatial downscaling and its application for tropical cyclone detection in the western North Pacific, Front. Earth Sci., doi:10.3389/feart.2024.1345714

32. Gao, Z. and C. Yuan*, 2024, Changes in tropical cyclone response to the Boreal Summer Intraseasonal Oscillation in the western North Pacific under global warming in EC-Earth3P-HR, Atmos. Ocean. Sci. Lett, https://doi.org/10.1016/j.aosl.2024.100482.

31. Liu, S., C. Yuan, S. Behera, J.-J. Luo, and T. Yamagata, 2024, Indian Ocean Dipole changes during the Last Interglacial modulated by the mean oceanic climatology, Geophys. Res. Lett., https://doi.org/10.1029/2023GL106153.

30. Wei, J., B. Wang, J.-J. Luo, C. Li and C. Yuan, 2023, Synopitic characteristics of heatwave events in Australia during austral summer of 1950/51-2019/20. Int. J. Clim., doi:10.1002/joc.8166

29. Liu, J., C. Yuan* and J.-J. Luo, 2023, Impacts of model resolution on responses of western North Pacific tropical cyclones to ENSO in the HighResMIP-PRIMAVERA ensemble. Front. Earth Sci., doi:10.3389/feart.2023.1169885

28. Liu, S., C. Yuan, J.-J. Luo, X. Ma, X. Zhou and T. Yamagata, 2023, Weakening of the Indian Ocean Dipole in the mid-Holocene due to the mean oceanic climatology chang. J. Climate, doi:10.1175/JCLI-D-22-0878.1

27. Yang, M, X. Shi, C. Yuan*, X. Lu and J Liu, 2023, Summer extreme precipitation in Southern China from the perspective of moisture static energy. J. Climate, doi:10.1175/JCLI-D-22-0627.1

26. Wang, M, C. Yuan*, J. Liu, Y. Wei, J. Wu and J.-J. Luo, 2023, Underestimated relationship between westerly wind bursts and ENSO in CMIP6 models. Atmos. Ocean. Sci. Lett., doi:10.1016/j.aosl.2023.100336

25. Ye, J., C. Yuan*, M. Yang, X. Lu, J.-J. Luo and T. Yamagata, 2023, Delayed impacts of ENSO on the frequency of summer extreme hot days in the Asian monsoon region. Part I: observation, historical simulation and future projection in CMIP6 models. J. Climate, doi:10.1175/JCLI-D-21-0667.1

24.Lu, X., C. Yuan*, J.-J. Luo and T. Yamagata, 2023, Delayed impacts of ENSO on the frequency of summer extreme hot days in the Asian monsoon region. Part II: implication for seasonal prediction. J. Climate, doi:10.1175/JCLI-D-21-0668.1

23. Xu, J, J.-J. Luo and C. Yuan, 2022, Tropical Indian Ocean warming contributes to Arctic warming, Geophys. Res. Lett., https://doi.org/10.1029/2022GL101339

22. Xue, J., H. Yang, J.-J. Luo, C. Yuan, B. Wang and T. Yamagata, 2022. Ningaloo Niño/Niña in CMIP6 models: characteristics, mechanisms, and climate Impacts, 2022, Geophys. Res. Lett., https://doi.org/10.1029/2022GL099781

21. Yuan, C.*, W. Zhang, Y. Zhong, X. Lu, J. Liu and M. Wahiduzzaman, 2022, North Atlantic forcing of autumn drought in Southwest China. Atmos. Ocean. Sci. Lett., 15, 100152,  doi:10.1016/j.aosl.2022.100152

20. Hu, Y., X. Wang, J.-J. Luo, D. Wang, H, Yang, C. Yuan and X. Lin, 2022, Forecast of MJO during DYNAMO in a coupled tropical channel model: Impact of parameterization schemes. Int. J. Climatol., 42, 6771-6792

19. Wahiduzzaman, M., M. Arfan Ali, K., Cheung, J.-J. Luo, S. Tang, P. Bhaskran, C. Yuan, et al., 2022, Impacts of aerosols and climate modes on tropical cyclone frequency over the North Indian Oceans: A statistical link approach. J. Climate, 35, 2549-2564.

18. Wahiduzzaman, M., K., Cheung, J.-J. Luo, P. Bhakaran, S. Tang, C. Yuan, 2022, Impact assessment of Indian Ocean Dipole on the North Indian Ocean tropical cyclone prediction using a statistical model. Clim. Dyn., 58:1275-1292.

17. Hu, Y., X. Wang, J.-J. Luo, D. Wang, H, Yang, C. Yuan and X. Lin, 2022, Forecasts of MJO during DYNAMO in a coupled tropical channel model: Impact of planetary boundary layer schemes. Atmosphere 13 (5), 666, doi:10.3390/atmos13050666

16. Xue, J., J-J. Luo, C. Yuan and T. Yamagata, 2021, Predictability of Chile Niño/Niña. Geophys. Res. Lett., doi:10.1029/2021GL095309.

15. Lu, X., C. Yuan*, M. Yang, T. Doi, Md Wahiduzzaman, and J.-J. Luo, 2021, Prediction of summer extreme hot days in China using the SINTEX-F2. Int. J. Climatol, 41, 4966-4976.

14. Wahiduzzaman, Md, A. Yeasmin, J.-J. Luo, D. Quadir, A. Amstel, K. Cheung and C. Yuan, 2021, Markov Chain Monte Carlo simulation and regression approach guided by El Nino-Southern Oscillation to model the tropical cyclone occurrence over the Bay of Bengal. Clim. Dyn., doi:10.1007/s00382-020-05610-x 

13. Yuan, C., and M. Yang, 2020, Interannual variations in summer precipitation in Southwest China: Anomalies in moisture transport and the role of the tropical Atlantic. J. Climate,  33, 5993-6007

12. Xue, J., J-J. Luo, C. Yuan and T. Yamagata, 2020, Discovery of Chile Niño/Niña. Geophys. Res. Lett., doi:10.1029/2019GL086468.

11. Yuan, C.*, J. Liu, J.-J. Luo, and Z. Guan, 2019, Influences of Tropical Indian and Pacific Oceans on the Interannual Variations of Precipitation in the Early and Late Rainy Seasons in South China. J. Climate, 32, 3681-3694.

10. Yuan, C.*, and W. Li, 2019, Variations in the Frequency of Winter Extreme Cold Days in Northern China and Possible Causalities. J. Climate, 32, 8127-8141

9. Yuan, C.*, W. Li, Z. Guan, and T. Yamagata, 2019, Impacts of April snow cover extent over Tibetan Plateau and the central Eurasia on Indian Ocean Dipole. Int. J. Climatol., 39, 1756-1767.

8. Yuan, C.*, D. Wang, 2019, Inter-decadal variations in El Niño–Southern Oscillation impacts on the autumn precipitation in the eastern China. Int. J. Climatol., 39, 5316-6326.

7. Yuan, C. and T. Yamagata, 2015, Impact of IOD, ENSO and ENSO Modoki on Australian Winter Wheat Yields in Recent Decades. Scientific Reports, 5, 17252, doi:10.1038/srep17252

6. Doi, T., C. Yuan, S. Behera and T. Yamagata, 2015, Predictability of California Niño/Niña, J. Climate, 28, 7237-7259

5. Yuan, C.* and T. Yamagata, 2014, California Niño/Niña, Scientific Reports, 4, 4801, doi:10.1038/srep04801

4. Yuan, C., T. Tozuka, J.-J. Luo and T. Yamagata, 2014, Predictability of subtropical dipole modes in a coupled ocean-atmosphere model, Clim. Dyn., 42, 1291-1308

3. Yuan, C.*, T. Tozuka, W. A. Landman and T. Yamagata, 2014, Dynamical seasonal forecast of southern African summer precipitation, Clim. Dyn., 42, 3357-3374

2. Yuan, C*., T. Tozuka and T. Yamagata, 2012, IOD influence on the early winter Tibetan Plateau snow cover: Diagnostic analyses and an AGCM simulation, Clim. Dyn., 39,  1643-1660

1. Yuan, C*., T. Tozuka, T. Miyasaka, and T. Yamagata, 2009, Respective influences of IOD and ENSO on the Tibetan snow cover in early winter, Clim. Dyn., 33, 509-520.

中文杂志

7. 杨萌洲，袁潮霞*，姜蕾衫，山形俊男，2024，典型和非典型大西洋尼诺对前冬ENSO的响应及其在春夏季的反馈研究，大气科学学报（接收）

6. 杨怡蓉，袁潮霞*，2024，中国西北地区复合极端高温-降水事件可能成因，大气科学学报（接收）

5. 杨萌洲，袁潮霞*，2024，非典型大西洋尼诺对中国东部前、后汛期降水的影响，大气科学学报，47（2），260-272

4. 刘远盈，袁潮霞*，2023，不同类型ENSO事件对初冬北极海冰的影响，气象科学，44，35-45

3. 杨萌洲，袁潮霞*，2022，IPO调节大西洋纬向模对澳大利亚秋季降水年际变动的影响，大气科学学报，45， 76-86

2. 李文杰，袁潮霞*，赵平，2018，青藏高原地区积雪及其变化的不确定性：三种积雪观测资料的对比分析，气象科学, 38, 719-729

1. 袁潮霞，钱永甫，2005，南半球高纬地区前期环流异常和我国华北地区夏季降水的联系，热带气象学报，6，570-578

Book Chapters

2. Luo, J.-J., J.-Y. Lee, C. Yuan, et al., 2013: Current status of intraseasonal-seasonal-to-interannual prediction of the Indo-Pacific climate, in “The Indo-Pacific Climate Variability and Predictability”, World Scientific Publisher on Asia-Pacific Weather and Climate

1. Oettli, P, C. Yuan, I. Richter, 2021, The other coastal Niño/Niña-the Benguela, California, and Dakar Niños/Niñas, in "Tropical and Extratropial Air-sea Interaction", World Scientific Publisher on Asia-Pacific Weather and Climate

科研项目

8. 企业委托，2024.06-2025.05，在研，主持

7. 科技部，国际重点研发计划，2022YFF080702，“北极海-冰-气系统和热带海-气系统的相互作用及其与全球变暖的联系”，2022.12-2027.11，在研，参与

6. 国家自然科学基金委员会，面上项目，41875099，“不同热带海温异常背景下华南夏极端降水与大气充能放能现象及机理研究”，2019.01-2022.12，结题，主持

5. 科技部，国家重点研发计划，2016YFA0600402，“气候多尺度变化与年代际重大时间的归因及预估”的子课题“工业革命以来年代际气候变化的全球格局及归因”，2016.07-2021.06，结题，参与

4. 科技部，国家重点研发计划，2016YFA0600702，“中国北方地区极端气候的变化及成因”的子课题”的子课题“中国北方地区极端气候的年代际变化及成因”，2016.07-2021.06，结题，参与

3. 国家自然科学基金委员会，青年项目，41505064，“青藏高原积雪异常对热带印度洋偶极子影响研究”，2016.01-2018.12，结题，主持

2. 日本科学协会，笹川科学研究助成金，25-724，南半球亜熱帯海洋の季節変動と亜熱帯ダイポールモード現象の相互作用の研究，2013.04-2014.03，结题，主持

1. 日本学术振兴会JSPS，特别研究员奖励费，21-9216，熱帯域の大気海洋相互現象とユーラシアの降雪の関係の解明，2009.04-2011.03，结题，主持