Marty Baxter
Associate Professor
Brooks Hall 325

Dr. Baxter is a member of the American Meteorology Society, the National Weather Association, the American Geophysical Union, the American Meteorological Society Weather Analysis and Forecasting Committee, and the Unidata Strategic Advisory Committee.

Honors and Awards

  • 2013-2014 College of Science & Engineering Sabbatical Fellowship Award
  • 2012 Editor's Award from the American Meteorological Society's Bulletin of the American Meteorological Society
  • 2009-2010 Central Michigan University Excellence in Teaching Award
2015 Co-recipient European Severe Storms Laboratory Heini Tooming Award


  • Ph.D., Meteorology, St. Louis University, 2006
  • M.S., Meteorology, St. Louis University, 2003
  • B.S., Meteorology, University of Missouri-Columbia, 2001

Professional Interests

Precipitation Systems, Synoptic Meteorology and Climatology, Numerical Weather Prediction, Weather Forecasting, Forecase Verification

Teaching Areas

  • MET 260: Introduction to Atmospheric Science
  • MET 265: Professional Development in the Atmospheric Sciences
  • MET 315: Computer Applications in Meteorology
  • MET 340 & 345: Synoptic Meteorology I & II
  • MET 355: Weather Forecasting Practicum
  • MET 470: Advanced Weather Forecasting

Severe thunderstorms have shaped the development of communities worldwide, and how these events respond to climatic variations remains an open question. The primary goal of my research program is to understand how severe thunderstorms respond to climate variability and, in doing so, improve quantification of potential risk to life, property and agriculture from the present and future climate perspective. However, to achieve this goal, there are several directions. One of these focuses is expanding and exploring our understanding of the climatology of severe thunderstorms both in the United States and globally, finding new ways to leverage developing or existing technology and observations to contribute to our outstanding. Other areas of interest include the physical mechanisms of how climate change and variability can impact extreme events, including severe thunderstorm frequency or intensity, deriving forecasting insight and guidance from lessons learned using climatology, and applications of our understanding of severe thunderstorms to their impacts on agriculture and the built environment.

Teaching Areas

  • MET 140: Severe & Unusual Weather
  • MET 450: Mesoscale Meteorology
  • MET 480: Atmospheric Modeling

Selected Publications

  • Baxter, M.A. and P.N. Schumacher, 2017: Distribution of Single-Banded Snowfall in Central United States Cyclones. Weather and Forecasting, 32, 533-554.
  • Hartnett, J.J., J.M. Collins, M.A. Baxter, and D.P. Chambers, 2014: Spatiotemporal Snowfall Trends in Central New York, Journal of Applied Meteorology and Climatology, 53, 2685-2697.
  • Baxter, M.A,, G. Lackmann, K. Mahoney, T. Workoff, and T. Hamill, 2014: Verification of Quantitative Precipitation Reforecasts over the Southeast United States. Weather and Forecasting, 29, 1199-1207.
  • Bunkers, M.J. and M. A. Baxter, 2011: Radar Tornadic Debris Signatures on 27 April 2011, Electronic Journal of Operational Meteorology, 12, (7), 1-6.
  • Baxter, M.A., 2011: Impacts of Very Small Initial Condition Errors on Mesoscale Aspects of Two Cyclones, Electronic Journal of Operational Meteorology, 12, (1), 1-44.
  • Baxter, M.A., 2011: Reforecasts of a 2004 Elevated Convection Event Misforecast by the Eta Model, National Weather Digest, 35, 3-26.
  • Baxter, M.A., P. N. Schumacher, and J. M. Boustead, 2011: The Use of Potential Vorticity Inversion to Evaluate the Effect of Precipitation on Downstream Mesoscale Processes, Quarterly Journal of the Royal Meteorological Society, 137, 179–198.
  • Baxter, M.A., C.E. Graves, and J.T. Moore, December 2006: A Physically-Based Method for Diagnosing Snow to Liquid Ratio Using Climatology, National Weather Digest, 30, 29-44.
  • Baxter, M.A., C.E. Graves, and J.T. Moore, 2005: A Climatology of Snow to Liquid Ratio for the Contiguous United States, Weather and Forecasting, 20, 729-744.