个人信息Personal Information

工作经历

2022~至今，教授，南京信息工程大学大气科学学院

2018.07~2022.05，Postdoctoral fellow, Pacific Climate Impacts Consortium, University of Victoria，Canada

教育背景

2015.09~2018.07， 北京师范大学，地理科学学部，全球环境变化，博士

2016.09~2018.03， University of California, Irvine，联合培养博士

2012.09~2015.07， 北京师范大学，全球变化与地球系统科学研究院，全球环境变化，硕士

2008.09~2012.07 ，福建师范大学，地理科学学院，地理科学，学士联合培养博士

学术服务

Associate editor，Weather and Climate Extremes (2025- )；

全球能量与水循环试验计划水文气象委员会成员（GEWEX, Hydroclimatology Panel) ，Panel member （2023-）

AOGS Hydrological Sciences (HS) section 秘书（2023-）

2021年，IPCC 6th Assessment WGI Report, contributing author；

2020年，《第四次国家气候变化评估报告》主要作者；

包括Nature Communication, PNAS, Bulletin of the American Meteorological Society, Geophysical Research Letters, Journal of Climate, Journal of Geophysical Research, Journal of Hydrology, Water Resources Research, Remote Sensing of Environment等20多个SCI期刊的审稿人

获奖情况

2025，亚洲大洋洲地球科学大会（AOGS ）Kamide Lecture奖

2024，美国气象学会（AMS）Editor award, Bulletin of the American Meteorological Society

2023，国家海外引才计划青年学者

2023，南京信息工程大学优秀班主任

2022，江苏省重大人才工程B类特聘教授

2020，北京师范大学优秀博士学位论文；

2018，北京市优秀毕业研究生（博士）；

2018，北京师范大学优秀毕业研究生（博士）；

2017, 2016, 2015, 2014连续四年研究生国家奖学金；

2015，第六届周廷儒奖学金优秀研究生奖；

2015，北京市优秀毕业研究生（硕士）；

Dai, Y., Sun, Q. *, Zhou, B., Li, Y., Xie, W., Li, L., & Zhu, Z., 2025. Human Influence on Changes in Seasonal Extreme Precipitation Across Different Land Regions. Geophysical Research Letters. https://doi.org/10.1029/2025GL117875

Yuan, Y., Sun, Q., Zhou, B., & Xie, W., 2025. More prolonged hot, dry, and compound dry‒hot events in China than expected based on observation-constrained projections. Advances in Climate Change Research. https://doi.org/10.1016/j.accre.2025.09.008

Vargas Godoy, M.R., Markonis, Y., Thomson, J.R., Simões Ballarin, A., Perri, S., Miao, C., Sun, Q., Hanel, M., Papalexiou, S.M., Kummerow, C. and Oki, T., 2025. Which Precipitation Dataset to Choose for Hydrological Studies of the Terrestrial Water Cycle?. Bulletin of the American Meteorological Society, 106(9), E2000-E2016.

Hu, J., Miao, C., Su, J., Zhang, Q., Gou, J. and Sun, Q., 2025. An upgraded high-precision gridded precipitation dataset for the Chinese mainland considering spatial autocorrelation and covariates. Earth System Science Data, 17(8), 3987-4004.

Chai, Y., Miao, C., Gentine, P., Mudryk, L., Thackeray, C.W., Berghuijs, W.R., Wu, Y., Fan, X., Slater, L., Sun, Q. and Zwiers, F., 2025. Constrained Earth system models show a stronger reduction in future Northern Hemisphere snowmelt water. Nature Climate Change, 1-7.

Li, P., Zhou, B., Zhang, D., Xie, W., Yin, Z., Huang, Y., Sun, B. and Sun, Q., 2024. Contribution of anthropogenic aerosol and greenhouse gas emissions to changes in summer upper-tropospheric thermal contrast between Asia and the North Pacific. npj Climate and Atmospheric Science, 7(1), 303.

Li, C., Sun, Q., Wang, J., Liang, Y., Zwiers, F.W., Zhang, X. and Li, T., 2024. Constraining projected changes in rare intense precipitation events across global land regions. Geophysical Research Letters, 51(3), p.e2023GL105605.

Sun, Q.^*, Zwiers, F., Zhang, X. and Tan, Y., 2023. The effect of greenhouse gas induced warming on the impact of El Niño and La Niña events on daily precipitation extremes in the boreal cold season. Journal of Climate, pp.1-40.

Sun, Q.^*, F. W. Zwiers, X. Zhang, J. Yan, 2022: Quantifying the human influence on the intensity of extreme 1- and 5-day precipitation amounts at global, continental, and regional scales, Journal of Climate, 35, 195–210, doi: 10.1175/JCLI-D-21-0028.1.

Li, M., Q. Sun*, M. A. Lovino, S. A, M. Islam, T. Li, C. Li, Z. Jiang, 2022: Non-uniform changes in different daily precipitation events in the contiguous United States. Weather and Climate Extremes, p.100417, doi: 10.1016/j.wace.2022.100417.

Gillett, N. P., Cannon, A. J., Malinina, E., Schnorbus, M., Anslow, F., Sun, Q., et al., 2022: Human influence on the 2021 British Columbia floods. Weather and Climate Extremes, 100441.

Gao, T., Xu, Y., Wang, H. J., Sun, Q., Xie, L., and Cao, F. 2022, Combined Impacts of Climate Variability Modes on Seasonal Precipitation Extremes Over China. Water Resources Management, 1-21.

Sun, Q.^*, X. Zhang, F. W. Zwiers, S. Westra, and L.V. Alexander, 2021: A global, continental and regional analysis of changes in extreme precipitation, Journal of Climate, 34: 243–258, doi: 10.1175/JCLI-D-19-0892.1. (ESI, highly cited paper)

Tan, Y., S. Yang, F. Zwiers, Z. Wang, and Q. Sun, 2021: Moisture budget analysis of extreme precipitation associated with different types of atmospheric rivers over western North America. Climate Dynamics, doi: 10.1007/s00382-021-05933-3.

Paik S., S. K. Min, X. Zhang, M. G. Donat, A. D. King, and Q. Sun, 2020: Determining the anthropogenic greenhouse gas contribution to the observed intensification of extreme precipitation. Geophysical Research Letters, 47(12), doi: 10.1029/2019GL086875.

Sun, Q. ^*, F. W. Zwiers, X. Zhang, and G. Li, 2020: A comparison of intra-annual and long-term trend scaling of extreme precipitation with temperature in a large-ensemble regional climate simulation, Journal of Climate, 33 (21): 9233–9245, doi: 10.1175/JCLI-D-19-0920.1.

Sun, Q., Miao C.Y., AghaKouchak A., Mallakpour I., Ji D.Y., and Duan Q.Y., 2020: Possible Increased frequency of ENSO-related dry and wet conditions over some major watersheds in a warming climate, Bulletin of the American Meteorological Society, 101(4): 409-426, doi:10.1175/BAMS-D-18-0258.1. (IF = 8.766)

Sun, Q., Miao C.Y., Hanel M., Borthwick A.G.L., Duan Q.Y., Ji D.Y., Li H., 2019: Global heat stress on health, wildfires, and agricultural crops under different levels of climate warming, Environment International, 128: 125-136, doi: 10.1016/j.envint.2019.04.025. (IF = 9.621, ESI, highly cited paper)

Sun, Q., Miao C.Y., Duan Q.Y., Ashouri H., Sorooshian S., Hsu K.L., 2018: A review of global precipitation datasets: data sources, estimation, and intercomparisons. Reviews of Geophysics, 56: 79-107, doi: 10.1002/2017RG000574. (ESI, highly cited paper；Citation>600；IF=22)

Sun, Q., C, Miao C., Q. Duan, 2017: Changes in the spatial heterogeneity and annual distribution of observed precipitation across China. Journal of Climate, 30(23): 9399-9416, doi:10.1175/JCLI-D-17-0045.1.

Sun, Q., C. Miao, 2018: Extreme Rainfall (R20mm, RX5day) in Yangtze-Huai, China, in June–July 2016: The Role of ENSO and Anthropogenic Climate Change. Bulletin of the American Meteorological Society, 99(1): S102-S106, doi: 10.1175/BAMS-D-17-0091.1. (IF = 8.766)

Miao, C., Q. Duan, Q. Sun, X. Lei, H. Li, 2018: Non-uniform changes in different categories of precipitation intensity across China and the associated large-scale circulations. Environmental Research Letters, doi: 10.1088/1748-9326/aaf306.

Faiz, M. A., D. Liu, Q. Fu, Q. Sun, M. Li, F. Baig., ... S. Cui, 2018: How accurate are the performances of gridded precipitation data products over Northeast China? Atmospheric Research, 211, 12-20.

Sun, Q., C. Miao, A. AghaKouchak, Q. Duan, 2017: Unraveling anthropogenic influence on the changing risk of heat waves in China. Geophysical Research Letters, 44(10): 50748-5085, doi: 10.1002/2017GL073531. (AGU highlight)

Sun, Q., C. Miao, Y. Qiao, Q. Duan, 2017: The nonstationary impact of local temperature changes and ENSO on extreme precipitation at the global scale, Climate Dynamics, 49(11-12): 4281-4292, doi:10.1007/s00382-017-3586-0.

Sun, Q., J. Xia, C. Miao, and Q. Duan, 2017: Bayesian multi-model projections of extreme hydroclimatic events under RCPs scenarios. Advances in Climate Change Research, 8(2): 80-92, doi: 10.1016/j.accre.2017.06.001.

Sun, Q., C. Miao, A. AghaKouchak, Q. Duan, 2016: Century-scale causal relationships between global dry/wet conditions and the state of the Pacific and Atlantic Oceans, Geophysical Research Letters, 43(12): 6528-6537, doi: 10.1002/2016GL069628.

Sun, Q., C. Miao, Q. Duan, 2016: Extreme climate events and agricultural climate indices in China: CMIP5 model evaluation and projections. International Journal of Climatology,36: 43-61, doi: 10.1002/joc.4328.

Miao, C., Q. Sun, D. Kong, Q. Duan, 2016: Record-breaking heat in northwest China in July 2015: Analysis of the severity and underlying causes, Bulletin of the American Meteorological Society, 97(12): 97-101, doi:10.1175/BAMS-D-16-0142.1.

Miao, C., Q. Sun, A. G. L. Borthwick, 2016: Linkage between hourly precipitationevents and atmospheric temperature changes over China during the warm season. Scientific Reports, doi:10.1038/srep22543.

Miao, C., Q. Sun, Q. Duan, Y. Wang, 2016: Joint analysis of changes in temperature and precipitation on the Loess Plateau during the period 1961–2011. Climate Dynamics, 47(9), 3221-3234, doi: 10.1007/s00382-016-3022-x.

Miao, C., L. Su, Q. Sun, Q. Duan, 2016: A nonstationary bias-correction technique to remove bias in GCM simulations.   Journal of Geophysical Research, 121(10):5718-5735, doi: 10.1002/2015JD024159.

Sun, Q., C. Miao, Q. Duan, 2015: Comparative analysis of CMIP3 and CMIP5 global climate models for simulating the daily mean, maximum, and minimum temperatures and daily precipitation over China. Journal of Geophysical Research - Atmospheres, 120(10): 4806-4824, doi:10.1002/2014JD022994.

Sun, Q., C. Miao, Q. Duan, 2015: Assessment of temperature and precipitation changes in Loess Plateau during 1961-2011 based on high density gauge observations. Global and Planetary Change, 132, 1-10, doi: 10.1016/j.gloplacha.2015.05.011.

Sun, Q., C. Miao, Q. Duan, 2015: Projected changes in temperature and precipitation in ten river basins over China in 21st century. International Journal of Climatology, 35(6): 1125-1141, doi: 10.1002/joc.4043.

Kong, D., C. Miao, J. Wu, Q. Duan, Q. Sun, A. Ye, Z. Di, W. Gong, 2015: The hydro-environmental response on the lower Yellow River to the water-sediment regulation scheme. Ecological Engineering,79,69–79.

Kong, D., C. Miao, A. G. L. Borthwick, Q. Duan, H. Liu, Q. Sun, A. Ye, Z. Di, W. Gong, 2015: Evolution of the Yellow River Delta and its relationship with runoff and sediment load from 1983 to 2011. Journal of Hydrology, 520: 157-167. (ESI, highly cited paper)

Sun, Q., C. Miao, Q. Duan, et al., 2014: Would the “real” observed dataset stand up? A critical examination of eight observed gridded climate datasets for China. Environmental Research Letters, 9: 015001, doi:10.1088/1748-9326/9/1/015001. (IF = 6.191)

Sun, Q., and Coauthors, 2014: Variations in global temperature and precipitation for the period of 1948 to 2010. Environmental Monitoring and Assessment, 2014, 186(9): 5663-5679, doi: 10.1007/s10661-014-3811-9.

Miao, C., Q. Duan, Q. Sun, Y. Huang, D. Kong, T. Yang, A. Ye, Z. Di, W. Gong, 2014: Assessment of CMIP5 climate models and projected temperature changes over Northern Eurasia. Environmental Research Letters, 9, doi: 10.1088/1748-9326/9/5/055007.

Miao, C., Q. Duan, Q. Sun, J. Li, 2013: Evaluation and application of Bayesian Multi-model estimation in temperature simulations. Progress in physical geography, 37(6): 727-744.

国家自然科学基金委员会，面上项目，2026/01-2029/12，在研，主持

国家自然科学基金委员会，重点项目，2026/01-2030/12，在研，参与

国家重点研发计划项目“长江流域复合型气候极端事件影响机理与风险预估”第四课题“长江流域复合型气候极端事件未来风险及应对策略”，2023/12-2028/11,在研，参与（骨干）

国家自然科学基金优秀青年科学基金项目（海外），极端天气气候归因和预估，2024-2026，主持

江苏省重大人才工程B类特聘教授，2023-2025，主持

校人才启动经费，2022-2025，主持

国家自然科学基金委员会, 面上项目, 41877155, 气候变化背景下黄土高原降雨侵蚀力估算, 2019-01-01 至 2022-12-31, 参与；

British Columbia Ministry of Transportation, British Columbia, Canada, Research Contract, Revision and Expansion of Extreme Streamflow Design Value Projection Online Tool, 2021-11 至 2022-03, 参与；

中华人民共和国科学技术部, 中华人民共和国科学技术部, 2016YFC0501604, 黄土高原区域生态系统演变规律和维持机制研究, 2016-01 至 2021-06, 参与；

British Columbia Ministry of Transportation, British Columbia, Canada, Research Contract, Pilot Study for Development of Stream Flow Design Value Projections and Prototype Online Tool, 2020-08 至 2021-03, 参与；

Canada First Research Excellence Fund, Competitive Research Grant, 419736, Global Water Futures: Short-Duration Extreme Precipitation in Future Climate, 2017-12 至 2020-11, 参与