Environmental Science Division (EVS)a Division of Argonne National Laboratory
Predictive environmental understanding
Yan Feng
Principal Atmospheric and Climate Scientist
Climate & Earth System Science Department
  • Ph.D., Atmospheric Science, University of Michigan, Ann Arbor, 2005.
  • M.S., Computer Science and Engineering, University of Michigan, Ann Arbor, 2002.
Current Role
Atmospheric and Climate Scientist
Global and regional modeling of atmospheric aerosols and impacts on climate; development and evaluation of aerosol schemes for Earth System Models; multi-scale modeling of cloud processes; air quality modeling; satellite data analyses; boundary layer meteorology for wind energy forecasting.
Career Highlights
  • Principal investigator: Argonne Laboratory Director's Competitive Grant on "Probing the Chemistry of Atmospheric Dust Particles Using the X-ray Spectromicroscopy for Climate Science" (2014-2016) and Strategic Laboratory Directed Research and Development Program on "Cloud processes and uncertainty modeling in next-generation high-resolution climate models" (2011-2013).
  • Co-investigator: DOE BER Atmospheric System Research project on aerosol processes; DOE EERE Atmosphere to Electrons project on micro-scale atmosphere boundary layer modeling; NSF project on Pacific dust and cloud-climate feedbacks due to extra-tropical cloud systems; key player in the California Air Resources Board project on black carbon and regional climate.
  • Journal publications: 23 peer-reviewed journal publications (>1200 citations, H-index=15), including Nature Geoscience, Proceedings of the National Academy of Sciences of the United States of America, and Geophysical Research Letters.
  • Book chapters: Intergovernmental Panel on Climate Change (IPCC) Third Assessment Report (2001), chapter on aerosol effects; United Nations Environment Programme (UNEP) regional climate assessment report on Atmospheric Brown Clouds over Asia (2008), chapters: Summary for Policy Makers and Technical Summary, and Part I: Atmospheric Brown Clouds and Regional Climate Change.
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