袁星 - 南京信息工程大学 - 水文与水资源工程学院

个人简介

教育经历 2005-2009：中国科学院大气物理研究所，气象学，博士 2000-2004：湖南大学数学与计量经济学院，信息与计算科学，学士工作经历 2018-present：南京信息工程大学，水文与水资源工程学院，教授，博士生导师，历任副院长、院长 2014-2018：中国科学院大气物理研究所，中科院东亚区域气候-环境重点实验室，研究员，博士生导师，“国家海外引才计划”青年学者，中科院重点实验室主任助理 2011-2014：美国普林斯顿大学，土木环境工程系，Research Scientist 2009-2011：美国伊利诺伊大学香槟分校，水文研究所，Research Scientist 2004-2005：中国科学院大气物理研究所，研究实习员

研究领域

全球变化与水循环高分辨率陆面模式发展水文气候集合预测极端事件归因

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Yuan, X.*, L. Wang, P. Wu, P. Ji, J. Sheffield, and M. Zhang, 2019: Anthropogenic shift towards higher risk of flash drought over China. Nature Communications, 10, 4661, https://doi.org/10.1038/s41467-019-12692-7 Zhu, E., X. Yuan*, and A. Wood, 2019: Benchmark Decadal Forecast Skill for Terrestrial Water Storage Estimated by an Elasticity Framework. Nature Communications, 10, 1237, doi: 10.1038/s41467-019-09245-3 Ji, P., X. Yuan*, Y. Jiao, C. Wang, S. Han, and C. Shi, 2019: Anthropogenic contributions to the 2018 extreme flooding over upper Yellow River basin in China. Bulletin of the American Meteorological Society, accepted. Ji, P., X. Yuan*, and D. Li, 2019: Atmospheric radiative processes accelerate ground surface warming over Tibetan Plateau. Journal of Climate, doi: 10.1175/JCLI-D-19-0410.1, in press. Jiao, Y., and X. Yuan*, 2019: More Severe Hydrological Drought Events Emerge at Different Warming Levels over the Wudinghe Watershed in northern China. Hydrology and Earth System Sciences, 23, 621–635, https://doi.org/10.5194/hess-23-621-2019 Zeng, D., X. Yuan*, and J. K. Roundy, 2019: Effect of Teleconnected Land-atmosphere Coupling on Northeast China Persistent Drought in Spring-Summer of 2017. Journal of Climate, 32(21), 7403-7420, https://doi.org/10.1175/JCLI-D-19-0175.1 Wang, S., X. Yuan*, R. Wu, 2019: Attribution of the persistent spring-summer hot and dry extremes over Northeast China in 2017. Bulletin of the American Meteorological Society, 100(1), S85-S89, doi: 10.1175/BAMS-D-18-0120.1 Zhang, M., and X. Yuan*, 2019: Crucial role of natural processes in detecting human influence on evapotranspiration by multisource data analysis. Journal of Hydrology, doi:10.1016/j.jhydrol.2019.124350. Li, Y.*, X. Yuan*, H. Zhang, R. Wang, C. Wang, X. Meng, Z. Zhang, S. Wang, Y. Yang, B. Han, K. Zhang, X. Wang, H. Zhao, G. Zhou, Q. Zhang, Q. He, N. Guo, W. Hou, C. Zhang, G. Xiao, X. Sun, P. Yue, S. Sha, H. Wang, T. Zhang, J. Wang, and Y. Yao, 2019: Mechanisms and Early Warning of Drought Disasters: Experimental Drought Meteorology Research over China. Bulletin of the American Meteorological Society, 100, 673-687, doi: 10.1175/BAMS-D-17-0029.1 Ji, P., and X. Yuan*, 2020: Underestimation of Warming Trend over Tibetan Plateau during 1998-2013 by Global Land Data Assimilation Systems and Atmospheric Reanalysis. Journal of Meteorological Research, 34(1), 1–13, doi: 10.1007/s13351-020-9100-3 Apurv, T., X. Cai, and X. Yuan, 2019: Influence of internal variability and global warming on multidecadal changes in regional drought severity over the continental U.S. Journal of Hydrometeorology, 20, 411–429, https://doi.org/10.1175/JHM-D-18-0167.1. Liang, P., Z.-Z. Hu, Y. Liu, X. Yuan, X. Li, and X. Jiang, 2019: Challenges in predicting and simulating summer rainfall in the eastern China. Climate Dynamics, 52, 2217–2233, doi:10.1007/s00382-018-4256-6 Yuan, X.*, L. Wang, and E. F. Wood, 2018: Anthropogenic intensification of southern African flash droughts as exemplified by the 2015/16 season. Bulletin of the American Meteorological Society, 99, S86-S90, doi:10.1175/BAMS-D-17-007.1 Yuan, X.*, S. Wang, and Z.-Z. Hu, 2018: Do climate change and El Niño increase likelihood of Yangtze River extreme rainfall? Bulletin of the American Meteorological Society, 99, S113-S117, doi:10.1175/BAMS-D-17-0089.1 Yuan, X.*, and E. Zhu, 2018: A first look at decadal hydrological predictability by land surface ensemble simulations. Geophysical Research Letters, 45, 2362-2369, doi:10.1002/2018GL077211 Yuan, X.*, Y. Jiao, D. Yang, and H. Lei, 2018: Reconciling the attribution of changes in streamflow extremes from a hydroclimate perspective. Water Resources Research, 54, 3886–3895, doi:10.1029/2018WR022714 Yuan, X.*, P. Ji, L. Wang, X.-Z. Liang, K. Yang, A. Ye, Z. Su, and J. Wen, 2018: High-resolution land surface modeling of hydrological changes over the Sanjiangyuan region in the eastern Tibetan Plateau: 1. Model development and evaluation. Journal of Advances in Modeling Earth Systems, 10, 2806–2828, doi:10.1029/2018MS001412. Ji, P., and X. Yuan*, 2018: High-resolution land surface modeling of hydrological changes over the Sanjiangyuan region in the eastern Tibetan Plateau: 2. Impact of climate and land cover change. Journal of Advances in Modeling Earth Systems, 10, 2829–2843, doi:10.1029/2018MS001413. Wang, S., and X. Yuan*, 2018: Extending seasonal predictability of Yangtze River summer floods. Hydrology and Earth System Sciences, 22, 4201-4211, doi:10.5194/hess-22-4201-2018. Zeng, D., and X. Yuan*, 2018: Multi-scale land-atmosphere coupling and its application in assessing subseasonal forecasts over East Asia. Journal of Hydrometeorology, 19, 745-760, doi:10.1175/JHM-D-17-0215.1