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第一或通讯作者论文（下划线标记课题组研究生或博士后，星号*标记通讯作者）
Li, C.*, Q. Sun, J. Wang, Y. Liang, F. W. Zwiers, X. Zhang, and T. Li, 2024: Constraining projected changes in rare intense precipitation events across global land regions. Geophysical Research Letters, https://doi.org/10.1029/2023GL105605（模式气候敏感度导致的区域极端降水预估不确定性和约束）
Qiao, S., D. Chen, M. He, C. Li*, C. Hu, J. Zhao, J.Cheng, and G. Feng, 2023: Was the February 2022 persistent heavy precipitation event over South China enhanced by anthropogenic climate change? Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-22-0258.1
Li, M., C. Li*, Z. Jiang*, X. Zhang, F. W. Zwiers, 2022: Deciphering China's complex pattern of summer precipitation trends. Earth's Future, https://doi.org/10.1029/2022EF002797（中国夏季降水长期趋势“南涝北旱”格局的检测归因）
Liu, Y., C. Li*, Y. Sun, F. W. Zwiers, X. Zhang, Z. Jiang, and F. Zheng, 2021: The January 2021 cold air outbreak: is there a human fingerprint? Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-21-0143.1
Li, C.*, Z. Wang, F. W. Zwiers, and X. Zhang, 2021: Improving the estimation of human climate influence by selecting appropriate forcing simulations. Geophysical Research Letters, https://doi.org/10.1029/2021GL095500（一种具有普遍适用性的气候变化“最优指纹”检测归因方案优化配制策略，入选GRL亮点论文，https://eos.org/editor-highlights/framework-for-fingerprinting-human-influence-on-climate）
Wang, J., C. Li*, F. W. Zwiers, X. Zhang, G. Li, Z. Jiang, P. Zhai, Y. Sun, Z. Li, and Q. Yue, 2021: On the optimal design of field significance test for changes in climate extremes. Geophysical Research Letters, https://doi.org/10.1029/2021GL092831
Li, C.*, F. W. Zwiers, X. Zhang, G. Li, Y. Sun, and M. Wehner, 2021: Changes in annual extremes of daily temperature and precipitation in CMIP6 climate models. Journal of Climate, https://doi.org/10.1175/JCLI-D-19-1013.1（小概率极端降水和极端温度未来将如何变化，被IPCC AR6主报告《决策者摘要》以关键图件采用，https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_SPM_final.pdf，hot temperature extremes and extreme precipitation in Figure SPM.6；被该报告《第11章，气候变暖中的极端天气与气候》用于绘制多个图表，包括图11.6、图11.7、图11.12、图11.15、表11.4、表11.5，详见https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Chapter11.pdf；ESI高被引和热点论文）
Li, C.*, Y. Sun, F. W. Zwiers, D. Wang, X. Zhang, G. Chen, and H. Wu, 2020: Rapid warming in summer wet bulb globe temperature in China with human-induced climate change. Journal of Climate, https://doi.org/10.1175/JCLID-19-0492.1
Li, C.*, F. W. Zwiers, X. Zhang, G. Chen, J. LV, G. Li, J. Norris, Y. Tan, Y. Sun, and M. Liu, 2019: Larger increases in more extreme local precipitation extremes as climate warms. Geophysical Research Letters, https://doi.org/10.1029/2019Gl082908（越极端的降水对气候变暖的响应越敏感）
Li, C. X. Zhang*, F. W. Zwiers, and G. Li, 2019: How much information is required to well constrain local estimates of future precipitation extremes. Earth's Future, https://doi.org/10.1029/2018EF001001（估计极端降水对气候变暖的响应究竟需要多少数据）
Li, C.* Y. Fang, K. Calderia, X. Zhang, N. S. Diffenbaugh, and A. M. Michalak, 2018: Widespread persistent changes to temperature extremes occurred earlier than predicted. Scientific Reports, https://doi.org/10.1038/s41598-018-19288-z
Li, C.* X. Zhang, F. W. Zwiwers, Y. Fang, and A. M. Michalak: 2017: Recent very hot summers in northern hemispheric land areas measured by wet bulb globe temperature will be the norm within 20 years. Earth's Future, https://doi.org/10.1002/2017EF000639
Li, C.* E. Sinha, D. E. Horton, N. S. Diffenbaugh, and A. M. Michalak, 2014: Joint bias correction of temperature and precipitation in climate model simulations. Journal of Geophysical Research: Atmospheres, https://doi.org/10.1002/2014JD022514
Li, C.* and V. P. Singh, 2014: A multimodel regression-sampling algorithm for generating rich monthly streamflow scenarios. Water Resources Research, https://doi.org/10.1002/2013WR013969
Li, C.*, V. P. Singh, and A. K. Mishra, 2013: Monthly river flow simulation with a joint conditional density estimation network. Water Resources Research, https://doi.org/10.1002/wrcr.20146
Li, C.*, V. P. Singh, and A. K. Mishra, 2013: A bivariate mixed distribution with a heavy-tailed component and its application to single-site daily rainfall simulation. Water Resources Research, https://doi.org/10.1002/.wrcr.20063
Li, C.*, V. P. Singh, and A. K. Mishra, 2012: Entropy theory-based criterion for hydrometric network evaluation and design: maximum information minimum redundancy. Water Resources Research, https://doi.org/10.1029/2011WR011251
Li, C.*, V. P. Singh, and A. K. Mishra, 2012: Simulation the entire range of daily precipitation using a hybrid probability distribution. Water Resources Research, https://doi.org/10.1029/2011WR011446
其他合作论文
Wang, J., P. Zhai, and C. Li, 2024: Non-uniform changes of daily precipitation in China: Observations and simulations. Weather and Climate Extremes, https://doi.org/10.1016/j.wace.2024.100665
Cao, C., X. Guan, C. Li, Z. Gao, and T. Gu, 2024: Anthropogenic contribution to the unprecedented 2022 midsummer extreme high-temperature event in southern China. Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-23-0199.1
Wei, J., B. Wang, J. Luo, C. Li, and C. Yuan, 2023: Synoptic characteristics of heatwave events in Australia during austral summer of 1950/1951-2019/2020. International Journal of Climatology, https://doi.org/10.1002/joc.8166
Ma, Y., Z. Hu, C. Li, T. Feng, X. Meng, and W. Dong, 2023: Anthropogenic climate change enhances the July 2021 super-heavy rainfall event in Central China. Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-22-0141.1
Wang, Z., Y. Sun, X. Zhang, T. Li, C. Li, S. Min, and T. Hu, 2023: Human influence on historical heaviest precipitation events in the Yangtz River Valley. Environmental Research Letters，https://doi.org/10.1088/1748-9326/acb563
Cui, T., Y. Li, L. Yang, Y. Nan, K. Li, M. Tudaji, H. Hu, D. Long, M. Shahid, A. Mubeen, Z. He, B. Yong, H. Lu, C. Li, G. Ni, C. Hu, and F. Tian, 2023: Non-monotonic changes in in Asian Water Towers' streamflow at increasing warming levels. Nature Communications, https://doi.org/10.1038/s41467-023-36804-6
Xu, Z., L. Chen, Y. Zhang, G. Han, Q. Chen, Z. Chu, Y. Zhang, C. Li, Y. Yang, and X. Wang, 2022, Meteorological drivers of atmospheric mercury seasonality in the temperate norther hemisphere. Geophysical Research Letters, https://doi.org/10.1029/2022GL100120
Li, Q., B. Shen, J. Huang, C. Li, Z. Song, L. Chao, W. Sun, Y. Yang, B. Jiao, Z. Guo, L. Liao, X. Li, C. Sun, W. Li, B. Huang, W. Dong, and P. Jones, 2022: Different climate response persistence causes warming trend unevenness at continental scales. Nature Climate Change, https://doi.org/10.1038/s41558-022-01313-9
Li, M., Q. Sun, M. A. Lovino, S. Ali, M. Islam, T. Li, C. Li, and Z. Jiang, 2022: Non-uniform changes in different daily precipitation events in the contiguous United States. Weather and Climate Extremes, https://doi.org/10.1016/j.wace.2022.100417
Qian, W., X. Sun, and C. Li, 2022: Spatial effects on extreme precipitation in the coastal areas of southeastern China during the raining season. International Journal of Climatology, https://doi.org/10.1002/joc.7524
Gong, H., C. Li, and Y. Zhou, 2021: Emerging global ocean deoxygenation across the 21th century. Geophysical Research Letters, https://doi.org/10.1029/2021GL095370（AGU Press Release Highlight， https://news.agu.org/press-release/climate-change-has-likely-begun-to-suffocate-the-worlds-fisheries）
Liu, W., F. Sun, Y. Feng, C. Li, J. Chen, Y. Sang, and Q. Zhang, 2021: Increasing population exposure to global warm-season concurrent dry and hot extremes under different warming levels. Environmental Research Letters, https://doi.org/10.1088/1748-9326/ac188f
Liu, J., S. Qiao, C. Li, S. Tang, D. Chen, and G. Fneg, 2021: Anthropogenic influence on the intensity of extreme precipitation in the Asian-Australian monsoon region in HadGEM3-A-N216. Atmospheric Science Letters, https://doi.org/10.1002/asl.1036
Qian, G., Q. Li, C. Li, H. Li, X. Wang, W. Dong, and P. Jones, 2021: A novel statistical decomposition of the historical change in global mean surface temperature. Environmental Research Letters, https://doi.org/10.1088/1748-9326/abea34
Cui, T., C. Li, and F. Tian, 2021: Evaluation of temperature and precipitation simulations in CMIP6 models over the Tibetan Plateau. Earth and Space Science, https://doi.org/10.1029/2020EA001620
Dong, S., Y. Sun, C. Li, X. Zhang, S. Min, and Y. Kim, 2021: Attribution of extreme precipitation with updated observations and CMIP6 simulations. Journal of Climate, https://doi.org/10.1175/JCLI-D-19-1017.1
Norris, J., G. Chen, and C. Li, 2020: Dynamic amplification of subtropical extreme precipitation in a warming climate. Geophysical Research Letters, https://doi.org/10.1029/2020GL087200
Dong, S., Y. Sun, and C. Li, 2020: Detection of human influence on precipitation extremes in Asia. Journal of Climate, https://doi.org/10.1175/JCLI-D-19-0371.1
Tan, Y., F. W. Zwiers, S. Yang, C. Li, and K. Deng, 2020: The role of circulation and its change in present and future atmospheric rivers over western North America. Journal of Climate, https://doi.org/10.1175/JCLI-D-19-0134.1
Sun, Y., T. Hu, X. Zhang, C. Li, C. Lu, G. Ren, and Z. Jiang, 2020: Contribution of global warming and urbanization to changes in temperature extremes in eastern China. Geophysical Research Letters, https://doi.org/10.1029/2019GL084281
Wang, Y., H. Wu, J. Lin, J. Zhu, W. Zhang, and C. Li, 2019: Phytoplankton blooms off a high turbidity estuary: a case study in the Changejiang river estuary. Journal of Geophysical Research: Oceans, https://doi.org/10.1029/2019JC015343
Xu, R., H. Hu, F. Tian, C. Li, and M. Y. Ali Khan, 2019: Projected climate change impacts on future streamflow over the Yarlung Tsangpo-Brahmaputra River. Global and Planetary Change, https://doi.org/10.1016/j.gloplacha.2019.01.012
Zhou, Y., N. Zhang, C. Li, Y. Liu, and P. Huang, 2018: Decreased takeoff performance of aircraft due to climate change. Climatic Change, https://doi.org/10.1007/s10584-018-2335-7
Lu, Y., H. Hu, C. Li, and F. Tian, 2018: Increasing compound events of extreme hot and dry days during growing seasons of wheat and maize in China. Scientific Reports: https://doi.org/10.1038/s41598-018-34215-y
Chen, J., C. Li, F. P. Brissette, H. Chen, M. Wang, G. R. C. Essou, 2018: Impacts of correcting the inter-variable correlation of climate model outputs on hydrological modeling. Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2018.03.040
Liu, Z., C. Li, P. Zhou, and X. Chen, 2016: A probabilistic assessment of the likelihood of vegetation drought under varying climate conditions across China. Scientific Reports, https://doi.org/10.1038/srep35105
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