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Cory Baggett

Research Scientist I, Barnes & Maloney Research Groups
email: cbaggett at rams dot colostate dot edu

Curriculum Vitae


Research Interests

  • My current research focuses on identifying sources of predictability to develop skillful 3 to 5 week forecasts of precipitation and of extreme weather such as atmospheric rivers, tornadoes, and hail. Two such sources of predictability that are of great interest are the Madden-Julian and the quasi-biennial oscillations.

News Articles


Publications


Publications (pre-acceptance)

  • Baggett, Cory F., and Sukyoung Lee, 2019: Summertime mid-latitude weather and climate extremes induced by moisture intrusions to the west of Greenland. Quarterly Journal of the Royal Meteorological Society, submitted 2019-02.
  • McGraw, Marie C., Cory F. Baggett, Chengji Liu, and Bryan D. Mundhenk, 2019: Changes in Arctic moisture transport over the North Pacific associated with sea ice loss. Climate Dynamics, re-submitted 2019-02.
  • Stone, Kane A., Susan Solomon, Douglas E. Kinnison, Cory F. Baggett, and Elizabeth A. Barnes, 2019: Prediction of Northern Hemisphere regional surface temperatures using stratospheric ozone information. Journal of Geophysical Research: Atmospheres, re-submitted 2019-01.
  • Sokolowsky, G. Alexander, Eugene E. Clothiaux, Sukyong Lee, Steven B. Feldstein, Cory F. Baggett, Edwin W. Eloranta, Maria P. Cadeddu, Nitin Bharadwaj, and Andrei Lindenmaier, 2018: Contributions to the Surface Downwelling Longwave Irradiance during an Arctic Winter. Journal of Climate, submitted 2018-12.
  • Mariotti, Annarita, Cory F. Baggett, Elizabeth Barnes, Andrew Robertson, Laura Ferranti, Amy Butler, Andrea Lang, Benjamin Kirtman, Matt Newman, Dan Collins, Duane Waliser, Jeanine Jones, Paul Dirmeyer, Andrea Molod, Siegfried Schubert, and Nat Johnson, 2019: Windows of Opportunity for Skillful S2S Forecasts. Bulletin of the American Meteorological Society, in preparation.
  • Baggett, Cory F, Elizabeth A. Barnes, and Eric D. Maloney, 2018: Extending atmospheric river and precipitation forecasts along the U.S. West Coast into subseasonal lead times using consistency-based forecasts derived from numerical models. Geophysical Research Letters, in preparation.

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