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Xia Sun

Xia Sun

Xia Sun works on the Unified Forecast System (UFS) Weather Models and the Common Community Physics Package (CCPP). Xia is interested in topics aiming at improving the forecasting of high-impact weather events and air quality. Specifically, she has research experiences in  land-atmosphere interactions, boundary layer structures, atmospheric composition, and wildfire smoke exposure assessment.

Research Interests

  • Physics parameterization improvement in numerical weather prediction models
  • Land-atmosphere interactions
  • Turbulent mixing and boundary layer meteorology 
  • Air quality modeling
  • Interdisciplinary research to investigate air pollution and extreme weather events impacts on public health

Education

  • Ph.D. in Atmospheric Science, University of Nevada, Reno, 05/2019
  • M.S. in Atmospheric Physics and Environment, Nanjing University of Information Science & Technology, China, 06/2013
  • B.S  in Atmospheric Physics and Environment, Nanjing University of Information Science & Technology, China, 06/2010

Experience

  • Research Scientist at NOAA/GSL, Developmental Testbed Center, CIRES at CU Boulder, 12/2019-present
  • Postdoctoral Researcher at University of Nevada, Reno, 07/2019-11/2019
  • Meteorologist, Hebei Meteorological Disaster Prevention Center, Shijiazhuang, China, 07/2013-12/2015

Peer-Reviewed Publications (Selected)

  • X. Sun, H. A. Holmes, and H. Xiao (2020). Surface turbulent fluxes during Persistent Cold Air Pool Events in the Salt Lake Valley, Utah. Part II: Simulations. Journal of Applied Meteorology and Climatology, 2020, 59(6): 1029-1050. https://doi.org/10.1175/JAMC-D-19-0250.1
  • X. Sun, H. A. Holmes (2019). Surface turbulent fluxes during Persistent Cold Air Pool Events in the Salt Lake Valley, Utah. Part I: Observations. Journal of Applied Meteorology and Climatology, 58(12), 2553–2568. https://doi.org/10.1175/JAMC-D-19-0053.1
  • X. Sun, H. A. Holmes, O. O. Osibanjo, Y. Sun, and C. E. Ivey (2017). Evaluation of surface fluxes in the WRF model: case study for farmland in rolling terrain. Atmosphere, 8(10), 197. https://doi.org/10.3390/atmos8100197
  • S. Kong, B. Wen, K. Chen, Y. Yin, L. Li, Q. Li, … & X. Sun (2014). Ion chemistry for atmospheric Size-segregated Aerosol and depositions at an offshore site of Yangtze River Delta region, China. Atmospheric Research, 147, 205-226. https://doi.org/10.1016/j.atmosres.2014.05.018
  • X. Sun, Y. Yin, Y. Sun, Y. Sun, W. Liu, and Y. Han (2013). Seasonal and vertical variations in aerosol distribution over Shijiazhuang, China. Atmospheric Environment, 81, 245-252. https://doi.org/10.1016/j.atmosenv.2013.08.009

Related Links

Our Mission

Lead research and directed development through the transition of environmental data, models, products, tools, and services to support commerce, protect life and property, and promote a scientifically literate public.

Research Areas

Organizational Excellence, Earth System Prediction, Advanced Technologies, and Decision Support are the foundation to achieving the GSL Grand Challenge: Deliver actionable global storm-scale prediction and environmental information through advanced technologies to serve society.

Global Systems Laboratory