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Ben Green

Ben Green

Born and raised in Silver Spring, Maryland, I became interested in meteorology at a very young age. I pursued this interest after high school, obtaining three degrees (B.S., M.S., Ph.D.) at Penn State University. At Penn State, I worked with Dr. Fuqing Zhang on tropical cyclone modeling. In 2015, I began a postdoctoral position at CIRES, and have remained ever since. My research at CIRES has mainly focused on subseasonal prediction, and I always find myself dabbling in surface layer parameterizations.

Outside of work, I enjoy keeping up with current events, listening to old-time radio shows (1930s-1950s), and — most importantly — spending quality time with my wife, daughter, and dog.

Research Interests

  • Subseasonal to seasonal prediction; numerical weather prediction; air-sea interaction; tropical cyclones; atmospheric boundary layer

Education

  • Ph.D., Meteorology, The Pennsylvania State University, May 2015; M.S., Meteorology, The Pennsylvania State University, December 2011; B.S., Meteorology, The Pennsylvania State University, December 2009

Professional Experience

  • May 2018 – present: Research Scientist II, CIRES/CU and NOAA/GSL
  • April 2016 – April 2018: Research Scientist I, CIRES/CU and NOAA/GSL
  • May 2015 – March 2016: Postdoctoral Visiting Fellow, CIRES/CU and NOAA/GSL 
  • January 2010 – May 2015: Graduate Research Fellow/Assistant, Penn State
  • May – August 2013: Graduate Visitor, National Center for Atmospheric Research
  • January – May 2013: Instructor, Meteorology 3, Penn State
  • June – August 2008: Student Volunteer, NWS Weather Forecast Office, Sterling, VA

Awards

  • 2015: John C. Wyngaard Graduate Research Award, Penn State Department of Meteorology

Professional Activities

  • American Meteorological Society

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