Dr. Xing Yuan is a professor at the Institute of Atmospheric Physics (IAP) at Chinese Academy of Sciences (CAS). He received his B.S. degree at Hunan University in 2004, and Ph.D. degree at IAP/CAS in 2008. Then he 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. He was awarded “Thousand Talents Program for Distinguished Young Scholars” by Chinese central government in 2015.
Dr. Yuan’s 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 hydrological processes, predictability and adaptation of hydro-climate extremes. He has authored 40+ peer-reviewed journal papers. His research on seasonal hydrological forecasting covers a variety of areas including multi-model ensemble, dynamical and statistical downscaling, and hydrological post-processing. Recently, Dr. Yuan’s group is working on the attribution and predictability of multi-scale droughts in a changing environment, from seasonal drought predictability, flash drought change, to the understanding and forecasting of hydrological drought in the anthropocene.
Professor/Dr. Xing Yuan
Institute of Atmospheric Physics, Chinese Academy of Sciences
Huayanli 40, Chaoyang District, Beijing 100029, China
- Do lateral flows matter for the hyperresolution land surface modeling? Journal of Geophysical Research: Atmospheres: 2017 ,122 ,12,077–12,092, doi:10.1002/2017JD027366
- Understanding and seasonal forecasting of hydrological drought in the anthropocene Hydrology and Earth System Sciences: 2017 ,21 ,5477-5492, doi:10.5194/hess-21-5477-2017
- Do climate change and El Niño increase likelihood of Yangtze River extreme rainfall? Bulletin of the American Meteorological Society: 2017 ,98 ,S113-S117, doi:10.1175/BAMS-D-17-0089.1
- Anthropogenic intensification of southern African flash droughts as exemplified by the 2015/16 season Bulletin of the American Meteorological Society: 2017 ,98 ,S86-S90, doi:10.1175/BAMS-D-17-007.1
- Does a strong El Niño imply a higher predictability of extreme drought? Scientific Reports: 2017 ,7, 40741 ,doi: 10.1038/srep40741
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