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个人信息Personal Information
副教授 硕士生导师
教师英文名称:Yi Fan
教师拼音名称:fanyi
所在单位:大气科学学院
性别:女
联系方式:fanyi(at)nuist.edu.cn 【以@替换(at)即可】
职称:副教授
毕业院校:中国科学院大学
硕士生导师
学科:气象学
- 基本信息
- 个人简介
- 近期主要论著
- 近期科研项目
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姓 名: 范怡
国 籍: 中国
性 别: 女
导 师: 范可研究员
职 称: 副教授/硕导
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: 中国科学院大气物理研究所
研究方向: 气候动力学,短期气候预测,气候变化预估
办公地点: 气象楼517室
邮 箱: fanyi(at)nuist.edu.cn 【以@替换(at)即可】
主讲课程: 天气学原理、天气学分析基础、气象统计方法
研究领域: 气候系统年际变率变化成因、极端气候年代际变化成因、次季节尺度的动力预报及改进、深度学习
教育背景
2010年–2014年 南京信息工程大学大气科学学院 大气科学专业本科
2014年–2019年 中国科学院大气物理研究所 气象学专业博士研究生
2017年–2018年 德国汉堡大学/马克斯普朗克研究所 公派联合培养博士生
工作经历
2019–2023 南京信息工程大学大气科学学院 讲师
2023–至今 南京信息工程大学大气科学学院 副教授
荣誉获奖
2024 南京信息工程大学“优秀班主任”
2024 第49届日内瓦国际发明展金奖
2023 南京信息工程大学大气科学学院突出贡献奖
2023 南京信息工程大学“青年五四奖章”
2023 教育部大气科学类专业教学指导委员会 专业课程思政示范课(天气学原理和方法)授课获奖
2023 教育部大气科学类专业教学指导委员会 专业课程思政示范课建设团队(天气学原理和方法)成员
2022 江苏省高校微课教学比赛二等奖
2022 南京信息工程大学大气科学学院教学优秀奖
2021 南京信息工程大学“课程思政”优秀教学团队(天气学原理和方法)成员
2020 南京信息工程大学“优秀班主任”
2020 中国气象局首批全国气象教学团队(天气学原理)成员
2020 “十三五”江苏高校外国留学生英文授课省级精品课程“Advanced Synoptic Dynamics”团队成员
2018 中国科学院大学“三好学生标兵”
2017 博士研究生国家奖学金
2014 南京信息工程大学“优秀毕业生”
*通讯作者,#学生一作
2025
Chen S#, Fan Y*, Zhou B. Decadal variation of late summer extreme temperatures in Eastern China and the influence from the North Atlantic[J]. Atmospheric Research, 2025, 322: 108134.
Rwambo I#, Fan Y*, Yu P, et al. Interannual variability of short rains in Tanzania and the influences from ENSO and the Indian Ocean Dipole[J]. Atmospheric and Oceanic Science Letters, 2025: 100614.
Liu Y, Zhang L, Fan Y, et al. Classification of extensive extreme cold-precipitation compound events in Southern China and their synoptic circulation patterns[J]. Atmospheric Research, 2025: 108525.
Pan S, Yin Z, Fan Y, et al. Sub-seasonal prediction of extreme high temperature over the Yangtze River Basin based on deep learning[J]. Atmospheric Research, 2025: 108602.
Zhu S, Lyu Y, Fan Y, et al. A novel multi-model pattern projection superensemble method: Experiments on subseasonal forecasts of surface air temperature[J]. Weather and Forecasting, 2025.
Xie Y, Fan K, Yang H, Fan Y, et al. An effective deep-learning prediction of Arctic sea-ice concentration based on the U-Net model[J]. Atmospheric and Oceanic Science Letters, 2025: 100691.
发明专利:
[1]一种基于神经网络对比学习的极端低温雨雪复合事件的识别方法:202410652944.0[P].2025-03-18.
[2]基于多源模态融合深度学习的高分辨雨情分析生成方法:202411607038.5[P].2025-03-25.
2024
Fan Y*, Lyu Y, Zhu S, et al. Monthly prediction on summer extreme precipitation with a deep learning approach: Experiments over the mid‐to‐lower reaches of the Yangtze River[J]. Earth and Space Science, 2024, 11(11): e2024EA003926. https://doi.org/10.1029/2024EA003926
Chu C# (本科大创), Fan Y*, Yu P, Liu Y, Chen S, Zhou B. Variations of summer extreme high temperatures over the Indochina Peninsula: Roles of oceanic systems[J]. Atmospheric Research, 2024: 107684. https://doi.org/10.1016/j.atmosres.2024.107684
Pan S, Yin Z, Duan M, Han T, Fan Y, Hunag Y, Wang H. Seasonal prediction of extreme high-temperature days over the Yangtze River basin[J]. Science China Earth Sciences, 2024: 1-11. https://doi.org/10.1007/s11430-023-1265-2
Lyu Y, Zhu S, Zhi X, Wang J, Ji Y, Fan Y, Dong F. Significant advancement in subseasonal-to-seasonal summer precipitation ensemble forecast skills in China mainland through an innovative hybrid CSG-UNET method[J]. Environmental Research Letters, 2024, 19(7): 074055. https://doi.org/10.1088/1748-9326/ad5577
发明专利:
[1]一种基于改进的U-Net网络的次季节极端高温预测方法:202410798747.X[P].2024-09-27.
[2]一种基于3D-TimesNet的次季节气温预报订正方法:202411225933.0[P].2024-10-01.
[3]一种前兆因子深度融合的次季节极端降水预测方法:202411305389.0[P].2024-12-06.
2023
Fan Y, Yao X, Zhou B, Li H and Liu M. 2023. Decadal variation of the summer extreme high temperature days in northern Eurasia during 1960–2018. 10: 1076396. https://doi.org/10.3389/feart.2022.1076396
Dong F#, Zhi X, Zhu S, Zhang L, Ge F, Fan Y, Lyu Y, Wang J, Fraedrich K. 2023. Principal modes of diurnal cycle of rainfall over South China during the pre-summer rainy season. Journal of Climate, 36: 2457–2470. https://doi.org/10.1175/JCLI-D-22-0284.1
Zhu S, Zhang L, Jiang H, Lyu Y, Fan Y, Guo Z, Zhi X. 2023. Pattern projection calibrations on subseasonal forecasts of surface air temperature over East Asia. Weather and Forecasting, 38: 865–878. https://doi.org/10.1175/WAF-D-22-0046.1
2022
Fan Y, Zhu S, Wang L, and Wang X. 2022. Subseasonal dynamical prediction of South China Sea summer monsoon. Atmospheric Research, 278: 106347. https://doi.org/10.1016/j.atmosres.2022.106347
Fan Y, Li J, Zhu S, Li H, and Zhou B. 2022. Trends and variabilities of precipitation and temperature extremes over Southeast Asia during 1981–2017. Meteorology and Atmospheric Physics, 134: 78. https://doi.org/10.1007/s00703-022-00913-6
Wang X# (本科大创), Fan Y*, Wang L, and Zhu Y. 2022. The 1–31-day predictions of the South China Sea summer monsoon in the CAMS-CSM climate forecast system. 13: 1051. https://doi.org/10.3390/atmos13071051
Zhu S, Yang H, Liu D, Wang H, Zhou L, Zhu C, Zu F, Wu H, Lyu Y, Xia Y, Zhu Y, Fan Y, Zhang L, Zhi X. 2022. Observations and forecasts of urban transportation meteorology in China: a review. Atmosphere, 13: 1823. https://doi.org/10.3390/atmos13111823
Sun X#, Ge F, Fan Y, Zhu S, and Chen Q. 2022. Will population exposure to heat extremes intensify over Southeast Asia in a warmer world? Environmental Research Letters, 17: 044006. https://doi.org/10.1088/1748-9326/ac48b6
Lyu Y#, Zhu S, Zhi X, Dong F, Zhu C, Ji L, and Fan Y. 2022. Subseasonal forecasts of precipitation over Maritime Continent in boreal summer and the sources of predictability. Frontiers in Earth Science, 10: 970791. https://doi.org/10.3389/feart.2022.970791
2021
Fan Y, Fan K, and Xu Z. 2021. Intraseasonal oscillation intensity over the western North Pacific: projected changes under global warming. Atmospheric and Oceanic Science Letters. https://doi.org/10.1016/j.aosl.2020.100046
Liao W# (本科毕设), Fan Y*, Zhu S, Huang Y, and Lv Y. 2021. Monthly Variations of the Winter Precipitation over the Philippines During the Mature Phase of Eastern Pacific El Niño. 8:625455. https://doi.org/10.3389/feart.2020.625455
Zhu S, Zhi X, Ge F, Fan Y, and et al. 2021. Subseasonal forecast of surface air temperature using superensemble approaches: experiments over Northeast Asia for 2018. Weather and Forecasting. https://doi.org/10.1175/WAF-D-20-0096.1
Lyu Y#, Zhi X, Zhu S, Fan Y, and Pan M. 2021. Statistical calibrations of surface air temperature forecasts over East Asia using pattern projection methods. Weather and Forecasting. https://doi.org/10.1175/WAF-D-21-0043.1
李惠心, 孙博, 周波涛, 王树舟, 朱宝艳, 范怡. 2021. 3月巴伦支海海冰对中国东部8月气温偶极子型的影响及机制研究. 大气科学学报. https://doi.org/10.13878/j.cnki.dqkxxb.20201013001
2020 and before
Zhu S, Ge F, Fan Y, and et al. 2020. Conspicuous temperature extremes over Southeast Asia: seasonal variations under 1.5 °C and 2 °C global warming. Climatic Change. https://doi.org/10.1007/s10584-019-02640-1
Fan Y, Fan K, Zhu X, and Fraedrich K. 2019. El Niño-related summer precipitation anomalies in Southeast Asia modulated by the Atlantic Multidecadal Oscillation. Journal of Climate. https://doi.org/10.1175/JCLI-D-19-0049.1
Fan Y, Fan K, Xu Z, and Li S. 2018. ENSO–South China Sea summer monsoon interaction modulated by the Atlantic Multidecadal Oscillation. Journal of Climate. https://doi.org/10.1175/JCLI-D-17-0448.1
Fan Y, and Fan K. 2017. Pacific decadal oscillation and the decadal change in the intensity of the interannual variability of the South China Sea summer monsoon. Atmospheric and Oceanic Science Letters. https://doi.org/10.1080/16742834.2016.1256189
Fan Y, Fan K, and Tian B. 2016. Has the prediction of the South China Sea summer monsoon improved since the late 1970s? Journal of Meteorological Research. https://doi.org/10.1007/s13351-016-6052-8
近期科研项目
6. 2025.01-2028.12 国家自然科学基金联合基金项目“西北干旱区极端降水的多尺度系统作用机理与预测新方法”参与
5. 2023.12-2028.11 国家重点研发计划“长江流域复合型气候极端事件未来风险及应对策略”第四课题(2023YFF0805704)参与
4. 2023.01-2026.12 国家自然科学基金面上项目“基于统计方法和机器学习的8-42d次季节多模式集成预报研究”参与
3. 2022.01-2024.12 国家自然科学青年基金“AMO对中南半岛旱季极端高温频次年代际变化的影响及机制研究“主持
2. 2021.10-2023.09 江苏省高校面上项目(21KJB170005) 主持
1. 2020.01-2022.12 校人才启动经费 主持
指导学生
【大创项目】
1. 2024.07-2025.06 大学生创新训练项目(202410300002Z) 国家级 (初常钰等)
2. 2022.07-2023.06 大学生创新训练项目(202210300005Z) 国家级 (汪鑫等)
3. 2024.07-2025.06 大学生创新训练项目 校级 (梁鸿玮等)
4. 2023.07-2024.06 大学生创新训练项目 校级 (李宁康等)
【互联网+项目】
1. 2023.06 南京信息工程大学 互联网+ 大学生创新创业选拔赛 校内金奖
2. 2022.06 南京信息工程大学 互联网+ 大学生创新创业选拔赛 校内铜奖

