袁星(Xing Yuan)


Research Interests:land surface processesland-atmosphere interactionhydroclimate forecastingclimate change and drought

袁星,男,博士,中国科学院大气物理研究所研究员,博士生导师,中组部“青年千人计划”入选者 (2015)。2004年获湖南大学计算数学学士学位,2008年获中国科学院气象学博士学位,2009-2014年先后在美国伊利诺伊大学香槟分校及美国普林斯顿大学工作。主要从事陆面水文过程及参数化、陆气耦合、水文气候预测、气候变化与干旱等方面研究,发表SCI收录论文40余篇,平均影响因子4.2,包括5篇美国气象学会会刊 (BAMS)、7篇地球物理研究快报 (GRL)等。担任美国自然科学基金 (NSF)和荷兰科学研究组织 (NWO)的特邀评审,并被30种SCI 期刊邀请审稿150余次。全球超高分辨率水文模拟 (HyperHydro)工作组成员,中国气象学会水文气象学专业委员会委员,中国计算数学学会理事。

I am a professor at the Institute of Atmospheric Physics (IAP) at Chinese Academy of Sciences (CAS). I received my B.S. degree at Hunan University in 2004, and Ph.D. degree at IAP/CAS in 2008. Then I worked as a climate modeler at University of Illinois at Urbana-Champaign during 2009-2011, and as an associate climate specialist at Princeton University during 2011-2014. My research interests are primarily in the field of hydroclimatology, including the understanding of land-atmosphere interaction and its connection with global climate variability and change, modeling of surface and subsurface hydrologic processes, predictability and adaptation of hydro-climate extremes. I welcome postdocs, visiting scholars and graduate students.


Contact:

Professor/Dr. Xing Yuan

Institute of Atmospheric Physics, Chinese Academy of Sciences

Huayanli 40, Chaoyang District, Beijing 100029, China

E-mail:yuanxing@tea.ac.cn

Tel:86-10-82995385

  1. Understanding and seasonal forecasting of hydrological drought in the anthropocene
    Yuan, X.*, M. Zhang, and L. Wang. Hydrology and Earth System Sciences: 2017 ,revised
  2. Do climate change and El Niño increase likelihood of Yangtze River extreme rainfall?
    Yuan, X.*, S. Wang, and Z. Hu. Bulletin of the American Meteorological Society: 2017 ,accepted
  3. Anthropogenic intensification of southern African flash droughts as exemplified by the 2015/16 season
    Yuan, X.*, L. Wang, and E. F. Wood. Bulletin of the American Meteorological Society: 2017 ,doi:10.1175/BAMS-D-17-007.1, in press
  4. Does a strong El Niño imply a higher predictability of extreme drought?
    Wang, S., X. Yuan*, and Y. Li. Scientific Reports: 2017 ,7, 40741 ,doi: 10.1038/srep40741
  5. An overview of drought monitoring and prediction systems at regional and global scales
    Hao, Z., X. Yuan, Y. Xia, F. Hao, and V. Singh. Bulletin of the American Meteorological Society: 2017 ,doi:10.1175/BAMS-D-15-00149.1, in press.
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Updated on:2017-08-01 08:55      Total Visits:12686

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