胡晓明,理学博士、教授、博士生导师
个人简介 [CV.PDF]
胡晓明,现任中山大学大气科学学院教授,国家自然科学基金优秀青年基金项目获得者。致力于气候动力学研究,主要兴趣为以大气质量、能量和水循环为切入点探索全球和区域气候变化机理、热带海气相互作用、热带影响极地气候的物理机制等问题。已在Nature Communications、National Sciences Review、Journal of Climate、Climate Dynamics等期刊已发表学术论文近40篇,主持国家级、省级等科研项目共7项。曾获美华海洋大气学会宇翔海归青年学者奖(2017)、谢义炳青年气象科技奖(2021)。
地址:广东省珠海市大学路2号中山大学海琴2号楼A344(邮编 519082)
Email: huxm6@mail.sysu.edu.cn
欢迎有兴趣开展研究性学习训练、本科毕业论文设计、硕博研究生深造的同学加入!
教育背景
2013.08-2016.06 中山大学大气科学学院气象系(导师:杨崧教授),博士
2010.09-2013.06 中国海洋大学海洋环境学院气象系(导师:黄菲教授),硕士
2006.09-2010.06 中国海洋大学海洋环境学院大气科学系,学士
工作经历
2023.06-至今 中山大学大气科学学院,教授
2019.05-2023.05 中山大学大气科学学院,副教授
2016.12-2017.06 美国佛罗里达州立大学地球、海洋和大气科学系,访问学者
2016.07-2019.04 中山大学大气科学学院,特聘副研究员
2014.11-2015.12 美国佛罗里达州立大学地球、海洋和大气科学系,访问学生
2011.06-2013.05 中国气象局国家气候中心,访问学生
学术兼职
2020至今 Frontiers in Earth Sciences Guest Editor
2022至今 Ocean-Land-Atmosphere Research Editor
2023至今 气象科学 编委
2025至今 Scientific Reports Editor
2025至今 Journal of Geophysical Research: Atmosphere Associate Editor
2019-2020 卫星海洋环境动力学国家重点实验室 访问“海星学者”
Climate Dynamics、Journal of Climate、Journal of Geophysical Research: Atmospheres、International Journal of Remote Sensing Letter 等期刊审稿人;
研究方向
气候变化、预估及其不确定性
气候反馈对全球变暖及区域气候变化的贡献
极地气候变化及热带-极区气候相互作用
ENSO对全球变暖的响应与反馈
讲授课程
《动力气象》 (本科核心课程)
《海洋与冰冻圈科学》 (本科必修课程)
《海洋学》 (本科课程)
《冰冻圈科学概论》 (本科课程)
《热带大气动力学》 (硕士必修课程)
本科生研习示例
- 排放-气候-经济交互模型(完成人:王树,获得软件著作权 1 项,软件下载)
- 罗斯冰架表面融化机理研究(完成人:李雯宜,发表SCI一区论文)
科研项目
- 2023.01-2025.12 国家自然科学基金优秀青年科学基金:气候反馈及其不确定性,主持
- 2021.01-2024.12 国家自然科学基金面上项目:向极能量和水汽输运对南极温度变化的影响,主持
- 2021.10-2024.09 南方海洋科学与工程广东省重点实验室(珠海)青年人才支持项目:全球变暖背景下南北极增暖不对称性研究,主持
- 2019.07-2021.06 国家自然科学基金国际合作与交流项目(中韩):东亚气候敏感度,主持(已结题)
- 2019.01-2021.12 国家自然科学基金青年基金:定量分析模式间气候态差异对气候敏感度不确定性的影响,主持(已结题)
- 2018.05-2021.04 广东省自然科学基金:ENSO衰退速度对华南春季气候变化及预测的影响,主持(已结题)
- 2017.05-2020.05 广东省自然科学基金:厄尔尼诺和拉尼娜对我国华南旱涝灾害的影响多样性的研究,主持(已结题)
- 2017.01-2019.12 校级青年教师培育项目:热带气候态海温模拟误差对气候模拟及气候变化预估的影响,主持(已结题)
- 2017.01-2021.12 国家基金委重大项目:ENSO对全球变暖的响应和反馈,参加(骨干,已结题)
- 2019.07-2024.06 科技部国家重点研发:影响北极未来变化趋势的关键过程、情景与效应研究,参加(骨干)
- 2020.12-2025.11 科技部国家重点研发:西太平洋与周边海域相互作用对 ENSO 过程的影响,参加(骨干)
团队研究生
- 硕士:孔蕴淇(广东省气象局生态中心)、段志方(云南省气象局迪庆州气象局)、陈昕璐(已转博)、张晓曼、许可、宋佳颖、刘翔宇
- 博士:韩宇慧、张义晗、李敬怡
博士(参与指导):李亚娜、范汉杰、吴玉婷、方樱霏、王佩禧、吴树炎、徐敏、杨冉、刘妍池
国际学术交流
2023.1.12,中国,厦门,特邀报告,XMAS-VI (6th Xiamen Symposium on Marine Enviromental Sciences),A quantitative analysis of the source of inter-model spread of Arctic surface warming response to increased CO2 concentration
2019.10.3,美国,Tallahassee, FL,特邀报告,Florida State Univ.,What are the main sources for the global warming projection spread by climate models?
2015.11.20,美国,Tallahassee, FL,特邀报告,Florida State Univ.,Delineation of Thermodynamic and Dynamic Response to SST Forcing Associated with El Niño
2020.01.12-16,美国,Boston, MA,大会报告,AMS2020,Atmospheric Dynamics Footprint on the January 2016 Ice Sheet Melting in West Antarctica
2019.10.08-12,韩国,首尔,大会报告,Korea-China Joint Climate Workshop,What are the main sources for the spread of climate model warming projection?
2019.05.26-30,日本,千叶,大会报告,JpGU,Decadal Evolution of the Surface Energy Budget during the Fast Warming and Global Warming Hiatus Periods in the ERA-Interim
2018.07.03-08,美国,Honolulu, HI,大会报告,AOGS2018,Inter-Model Warming Projection Spread: Inherited Traits from Control Climate Diversity
2018.05.08-10,中国,青岛,大会报告,OSS2018,Delineation of Thermodynamic and Dynamic Response to SST Forcing Associated with El Niño
2018.01.07-11,美国,Austin, TX,大会报告,AMS2018,Inter-Model Warming Projection Spread: Inherited Traits from Control Climate Diversity
2016.08.04,中国,北京,大会报告,AOGS2016,Delineation of Thermodynamic and Dynamic Response to SST Forcing Associated with El Niño
2016.07.29,中国,北京,大会报告,COAA2016,Process-based Attribution of the Temporal Evolution of the Global Warming in the Last 37 Years
2015.08.02-07,新加坡,大会报告,AOGS2015,A Digital Map from External Forcing to the Final Surface Warming Pattern
2015.08.02-07,新加坡,大会报告,AOGS2015,The Eastern Pacific El Niño and the Central Pacific El Niño: Process-Based Feedback Attribution
2015.1.04-08,美国,Phoenix, AZ,大会报告,AMS2015,Contrasting Feedback Attribution of Atmospheric and Surface Temperature Anomalies Related to Eastern Pacific ENSO and Central Pacific ENSO
发表著作及论文
Yang, S., R. Wu, M. Jian, J. Huang, X. Hu, Z. Wang, and X. Jiang. 2020: Variations of Climate over Southeast Asia and the Adjacent Regions. Springer, pp 1-500. (Lead author of Chapter 6)
杨崧,吴仁广,简茂球,黄健,王子谦,胡晓明,蒋兴文编. 2019: 东南亚及其周边地区气候变化. 北京:科学出版社.(第五章:胡晓明, 李亚娜, 杨崧, 黄平, 蔡鸣, 陈俊文, 林文实, 应俊, 2019: 东南亚地区及全球气候变化归因分析)
周天军等,《第四次国家气候变化评估报告》第十二章:气候敏感度、气候阈值及减缓视角.
蔡榕硕、成里京、曹龙、吴仁广、武炳义、杜凌、胡晓明、李元龙、王志彪(青年科学家)、李海艳,《第五次国家气候变化评估报告》第7章:海洋和极地
待发表工作(*为通讯作者):
- Han, Y. (韩宇慧), X. Hu, J. Liu, and K. Deng, 2026: Projected increases in Antarctic strong offshore wind events over major high-salinity shelf water production regions in CMIP6 simulations. In preparation.
- Hu, X., Y. Zhang, P. Wang, Z. Li, M. Cai, S. Yang*, D. Chen*, J. Liu, and Q. Yang, 2026: Bathymetry dominates asymmetric polar warming amplification. Science Advances, submitted.
- Fang, Y.(方樱霏), J. Screen, X. Hu*, S. Lin, and S. Yang, 2026: Consistent strengthening of ENSO teleconnection in the Southern Hemisphere across future emission scenarios. Geophy. Res. Lett.,, under review.
- Zhang, Y.(张义晗), S. Yang, Z. Li, P. Wang*, and X. Hu*, 2026: Does Polar Warming Asymmetry Exist in Bathy-planet Experiments?. Geophy. Res. Lett.,, under review.
- Wang, P.(王佩禧), Z. Li, Q. Yu, S. Yang, and X. Hu*, 2026: Role of ocean topography in shaping Earth’ s climate: Insights from aquaplanet simulation with realistic bathymetry. Ocean-Land-Atmos. Res., under review.
- Chen (陈昕璐) et al., 2026: Sub-seasonal Variability of West Antarctic Surface Air Temperature in Austral Summer. J. Climate, under review.
一作及通讯文章(*为通讯作者,中文标注为学生一作):
- Han, Y. (韩宇慧), M. Cai*, Z. Li, S. Yang, and X. Hu*, 2025: Hemispheric asymmetry of land-ocean distribution causes asynchronous global atmospheric energy response to solar forcing. Adv. in Atmos. Sci., https://doi.org/10.1007/s00376-025-5239-2.[PDF]
- Xu, L., S. Yang, A. Wang, S. He, D. Wang, X. Hu*, T. Zhang, Y. Chen, K. Deng, 2025: Unveiling remote and local drivers for the interdecadal increase in summer extreme high temperature days over southern China, Adv. in Climate Change Res., in press. [PDF]
- Zhang, X. (张晓曼), W. Zhong, Q. Li, X. Hu*, M. Li*, and Y. Kong, 2025: Assessment of multi-year El Niño and the associated spring rainfall over Southern China in CMIP6. Ocean-Land-Atmos. Res., 4, 1-12. doi:10.34133/olar.0126. [PDF]
- Wang, P. (王佩禧), Y. Han, S. Yang*, Z. Li, X. Li, J. Ying, and X. Hu*, 2025: Impacts of strengthened Antarctic Circumpolar Current on the seasonality of Arctic climate, Geophy. Res. Lett., 52, e2025GL115211. https://doi.org/10.1029/2025GL115211. [PDF]
- Zhang, Y. (张义晗), S. Yang*, P. Wang, and X. Hu*, 2025: Projected Antarctic land warming and uncertainty driven by atmospheric heat transport, Geophy. Res. Lett., 52, e2025GL114630. https://doi.org/10.1029/2025GL114630. [PDF]
- Han, Y. (韩宇慧), S. Yang*, P. Wang, Z. Li, and X. Hu*, 2025:Response of Australian Summer Monsoon precipitation to a strengthening Antarctic Circumpolar Current, Geophy. Res. Lett., 52, e2024GL113080. https://doi.org/10.1029/2024GL113080.[PDF]
- Hu, X., M. Cai*, J. Sun, F. Ding, and J. Feng, 2025: Energy gain kernel for climate feedbacks. Part II: Spatial pattern of surface amplification factor and its dependency on climate mean state. J. Atmos. Sci., 82(3): 675-688.[PDF]
- Cai*#, M., X. Hu#, J. Sun, G. Liu, and Z. Wu, 2025: principles-based adept predictions of global warming from climate mean states. Natl. Sci. Rev., nwae442, https://doi.org/10.1093/nsr/nwae442 (Zhang, G., 2025: An innovative approach to predicting global warming without using climate model simulations, Natl Sci Rev, 12(2), nwae453, https://doi.org/10.1093/nsr/nwae453)[PDF]
- Fang, Y. (方樱霏), J. Screen, X. Hu*, S. Lin, N. Williams, and S. Yang*, 2024: CMIP6 models underestimate ENSO teleconnections in the Southern Hemisphere, Geophy. Res. Lett., 51, e2024GL110738. https://doi.org/10.1029/2024GL110738.[PDF]
- Chen, X. (陈昕璐), L. Xu, R. Yang, M. Cai, Y. Deng, D. Chen, S. Yang, J. Liu, Q. Yang, and X. Hu*, 2024: Deciphering the Prevalence of Warm-Wet Extremes in Ice-Covered Zones, Geophy. Res. Lett., 51, e2024GL109777. https://doi.org/10.1029/2024GL 109777.[PDF]
- Wang, P.(王佩禧), S. Yang, Z. Li, Z. Song, X. Li, and X. Hu*, 2024: Role of the Antarctic Circumpolar Current in asymmetric Arctic and Antarctic warming. Geophy. Res. Lett., 51, e2024GL110265. https://doi.org/10.1029/2024GL110265.[PDF]
- Fang, Y.(方樱霏), S. Yang, X. Hu*, S. Lin, J. Screen, and S. Chen, 2024: Remote Forcing for a Circulation Pattern Favorable to Surface Melt over the Ross Ice Shel. J. Climate, 37(18): 4689-4702, doi: 10.1175/JCLI-D-23-0120.1.[PDF]
Wu, S. (吴树炎), W. Lin, L. Dong*, F. Song, S. Yang, Z. Lu, and X. Hu*, 2024: Role of SST in seasonal Western North Pacific Anomalous anticyclone: Insights from AMIP simulations in CMIP6. Geophy. Res. Lett., 51, doi: 10.1029/2023GL107080. [PDF]
Yang, R. (杨冉), X. Hu*, M. Cai, Y. Deng, K. Clem, S. Yang, L. Xu and Q. Yang*, 2024: A paradigm shift of compound extremes over polar ice sheets. Ocean-Land-Atmos. Res., 3, 6–9, https://doi.org/10.34133/olar.0040. [PDF]
Zhang, Y. (张义晗), Y. Kong, S. Yang, M. Cai, and X. Hu*, 2023: Asymmetric Arctic and Antarctic warmings and their inter-model spread. J. Climate, doi: 10.1175/JCLI-D-23-0118.1 [PDF]
Sun, J., M. Secor, M. Cai, and X. Hu*, 2023: A quasi-linear relation between planetary outgoing longwave radiation and surface temperature in a radiative-convective-transportive climate model of gray atmosphere. Adv. in Atmos. Sci., doi: 10.1007/s00376-023-2386-1.[PDF]
Liu, Y. (刘妍池), Y. Kong, Q. Yang, and X. Hu*, 2023: Influence of surface types on the seasonality and inter-model spread of Arctic amplification in CMIP6. Adv. in Atmos. Sci., doi: 10.1007/s00376-023-2338-9. [PDF]
Li, W. (李雯宜), Y. Wu, and X. Hu*, 2023: Processes-based attribution of four major surface melting events over the Ross Ice Shelf. Adv. in Atmos. Sci., accepted, doi: 10.1007/s00376-023-2287-3.
Hu*, X., Y. Kong, Y. Liu, and Q. Yang, 2022: A quantitative analysis of inter-model spread of arctic amplification of surface warming. Geophy. Res. Lett., 49, e2022GL100034. [PDF]
Wu, Y. (吴玉婷), X. Hu*, Z. Li, M. Cai, M. Lu, and S. Yang*, 2022: Remote effect of model systematic bias in tropical SST on the cold bias over the Tibetan Plateau. Clim. Dyn., doi: 10.1007/s00382-022-06421-y. [PDF]
Kong, Y.(孔蕴淇), Y. Wu, X. Hu*, Y. Li, and S. Yang*, 2022: Uncertainty in projections of the South Asian summer monsoon under global warming by CMIP6 models: Role of tropospheric meridional thermal contrast. Atmos. Oceanic Sci. Lett., 15(1), 100145. [PDF]
Hu*, X., J. Ma, J. Ying, Y. Kong. 2021: Inferring future warming in the Arctic from the observed global warming trend and CMIP6 simulations. Adv. Climate Change Res., doi: 10.1016/j.accre.2021.04.002. [PDF]
Fan, H. (范汉杰), X. Hu*, S. Yang, Y-S Choi, and Y-K Lee. 2021: Relative contributions of thermodynamic and dynamic processes to the future warming projection and its uncertainty over East Asia. Climate Dyn., doi:10.1007/s00382-020-05614-7. [PDF]
Hu, X., H. Fan, M. Cai*, S Sejas, P. Taylor, and S. Yang. 2020: A less cloudy picture of the inter-model spread in future global warming projections. Nat. Commun., 11, 4472. https://doi.org/10.1038/s41467-020-18227-9. [PDF, 高影响因子论文]
Wu, Y. (吴玉婷), S. Yang, X. Hu*, and W. Wei, 2020: Process-based attribution of long-term surface warming over the Tibetan Plateau. Int. J. Climate, doi: 10.1002 /joc.6589. [PDF]
Gao, W., S. Yang, X. Hu*, W. Wei, and Y. Xiao, 2019: Characteristics and Formation Mechanisms of Spring SST Anomalies in the South China Sea and Its Adjacent Regions. Atmosphere (Basel)., 10, 649, doi:10.3390/atmos10110.649. [PDF]
Hu, X., S. Sejas, M. Cai*, Z. Li, and S. Yang, 2019: Atmospheric dynamics footprint on the January 2016 ice sheet melting in West Antarctica. Geophy. Res. Lett., doi: 10.1029/2018GL081374. [PDF]
Hu, X., S. Sejas*, M. Cai, P. Taylor, Y. Deng, and S. Yang, 2018: Decadal evolution of the surface energy budget during the fast warming and global warming hiatus periods in the ERA-interim. Climate Dyn., doi: 10.1007/s00382-018-4232-1. [PDF]
Yang, S., Z. Li, J. Yu, X. Hu*, W. Dong, and S. He, 2018: El Niño–Southern Oscillation and Its Impact in the Changing Climate. Natl. Sci. Rev., doi: 10.1093/nsr/nwy046. [PDF, 高影响因子论文]
Hu, X., M. Cai, S. Yang*, S. Sejas. 2018: Air temperature feedback and its contribution to global warming. Sci China Earth Sci, doi: 10.1007/s11430-017-9226-6. [PDF, 美国科学促进会新闻报导]
Hu, X., P. Taylor, M. Cai*, S. Yang, Y. Deng, and S. Sejas, 2017: Inter-Model warming projection spread: Inherited traits from control climate diversity. Sci. Rep., doi: 10.1038/s41598-017-04623-7. [PDF]
Hu, X., M. Cai*, S. Yang*, and Z. Wu, 2017: Delineation of thermodynamic and dynamic responses to sea surface temperature forcing associated with El Niño. Climate Dyn., doi: 10.1007/s00382-017-3711-0. [PDF]
Hu, X., Y. Li, S. Yang, Y. Deng, and M. Cai*, 2017: Process-based decomposition of the decadal climate difference between 2002–13 and 1984–95. J. Climate, 30, 4373–4393, doi: 10.1175/JCLI-D-15-0742.1. [PDF]
Hu, X., S. Yang*, and M. Cai, 2016: Contrasting the eastern Pacific El Niño and the central Pacific El Niño: process-based feedback attribution. Climate. Dyn., 47, 2413-2424, doi: 10.1007/s00382-015-2971-9. [PDF]
胡晓明,蔡鸣,杨崧*, S. Sejas. 2018: 大气温度反馈的机理及其对全球增暖的贡献. 中国科学:地球科学,doi: 10.1007/s11430-017-9226-6. [PDF, 美国科学促进会新闻报导]
胡晓明,王国复*,黄菲,2014:不同站网对极端降水事件变化监测的影响. 气象科技,42 (3),382-390. [PDF]
部分合作文章:
Zhang, S., H. Fan*, X. Hu, S. Lin, 2024: Unprecedented cross-equatorial southerly wind anomalies during the 2020–2023 triple-dip La Niña: Impacts and mechanisms. Atmos. Res., doi: 10.1016/j.atmosres.2024.107412. [PDF]
Cai*, M., X. Hu, J. Sun, F. Ding, and J. Feng, 2024: Energy gain kernel for climate feedbacks. Part I: Formulation and physical understanding. J. Atmos. Sci., https://doi.org/10.1175/JAS-D-23-0148.1.
Lee, Y.-K., Y.-S. Choi, J. Hwang, X. Hu, and S. Yang, 2024: On the importance of a geostationary view for tropical cloud feedback. Geophy. Res. Lett., 51(4), 10.1029/2023GL106897, doi: 10.1029/2023GL106897. [PDF]
Wu, Q., Q. Li, X. Hu, and X. Sun, 2023: Prosses-based attributions of the summer upper-tropospheric temperature related to the South Asian summer monsoon. J. Climate, 37(5): 1683-1701, doi: 10.1029/2023GL106897. [PDF]
Cai*, M., J. Sun, F. Ding, W. Kang, and X. Hu, 2023: The quasi-linear relation between planetary outgoing long wave radiation and surface temperature: a climate footprint of radiative and non-radiative processes, J. Atmos. Sci., 80, 2131-2146, doi: 10.1175/JAS-D-22-0261.1. [PDF]
Xu, M., Q. Yang, K. Clem, L. Yu, X. Hu, 2023: On the seasonal and spatial dependence of extreme warm days in Antarctica. Geophy. Res. Lett., doi: 10.1029/2022GL102472. [PDF]
Wu, R., X. Hu, S. Yang, and S. Sejas. 2022: Editorial: Changes in snow, monsoon and snow-monsoon relationship in the warming climate. Frontiers Earth Sci., 10: 906982, doi: 10.3389/feart.2022.906982. [PDF]
Chen, J., S. Yang*, X. Hu, S. Lin, Z. Li, 2022: Influence of deep convective heating over the Maritime Continent on the Amundsen Sea Low in the boreal spring. Geophy. Res. Lett., 49(9): e2021GL097322. doi: 10.1029/2021GL097322. [PDF]
Xu, M., Q. Yang*, X. Hu, K. Liang, and T. Vihma, 2022: Record-breaking rain falls at Greenland summit controlled by warm moist air intrusion. Envir. Res. Lett., 17(4): 044061, doi: 10.1088/1748-9326/ac60d8. [PDF]
Sejas*, A.S., X. Hu, M. Cai, and H. Fan, 2021: Understanding the differences between TOA and surface energy budget attributions of surface warming. Frontiers Earth Sci., accepted. [PDF]
Xu, M., L. Yu, T. Vihma, D. Bozkurt, K. Liang, X. Hu, Q. Yang*, 2021: Dominant role of vertical motion in the unprecedented warming on the Antarctic Peninsula in February 2020. Commun. Earth & Environment, 2: 133, https://doi.org/10.1038/s43247-021-00203-w. [PDF]
Ma, J., T. Zhang, X. Guan*, X. Hu, Y. Xu, and A. Duan, 2019: The dominant role of snow albedo feedback related to black carbon on enhanced warming over the Himalayas. J. Climate, doi: 10.1175/JCLI-D-18-0720.1. [PDF]
Li, Y., S. Yang*, Y. Deng, X. Hu, M. Cai, and W. Zhou, 2018: Detection and attribution of upper-tropospheric warming over the tropical western Pacific. Climate Dyn., doi: 10.1007/s00382-019-04681-9. [PDF]
Li, Z., S. Yang*, X. Hu, W. Dong, and B. He, 2017: Charge in long-lasting El Niño events by convection-induced wind anomalies over the western Pacific in boreal spring. J. Climate, doi: 10.1175/JCLI-D-17-0558.1. [PDF]
Li, Y., S. Yang*, Y. Deng, X. Hu, and M. Cai, 2017: A process-level attribution of the annual cycle of surface temperature over the maritime continent. Climate Dyn., doi: 10.1007/s00382-017-4043-9. [PDF]
张涛,刘喜迎*,胡晓明,2013: 北极海冰与大气环流耦合主模态的时空特征分析. 极地研究,25,226–233. [PDF]
(最近更新:2026年1月)
