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.

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)

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)

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.

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.

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.

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.

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.

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.

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.

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)

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.