John Mecikalski

Professor, Interim Chair, Atmospheric Science Department


John's interest in weather started in elementary school, and this fed his curiosity to collect weather observations in Wisconsin for ~10 years. chasing storms, modeling convective clouds, and understanding how to use satellite data provides the basis of his enthusiasm in a relatively wide variety of research he performs today at UAH.

Visit John Mecikalski's personal website


  • Ph.D., Atmospheric Science, University of Wisconsin, 1999
  • M.S., M.S., Atmospheric Science, University of Wisconsin, 1991
  • B.S., Atmospheric Science, University of Wisconsin, 1998

Classes Taught

    >ATS 781 - ATS Student Seminar


  • Posselt, D. J., Li, X., Tushaus, S. A., Mecikalski, J. R. (in press). Assimilation of dual-polarization radar observations in mixed- and ice- phase regions of convective storms: Information content and forward model error. Mon. Wea. Rev.
  • Mecikalski, J. R., Williams, J. k., Jewett, C. P., Ahijevych, D., LeRoy, A., Walker, J. R. (2015). Probabilistic 0–1 hour Convective Initiation Nowcasts that Combine Geostationary Satellite Observations and Numerical Weather Prediction Model Data. J. Climat. Appl. Meteorol.
  • Gravelle, C. M., Mecikalski, J. R., Bedka, K. M., Line, W. E., Petersen, R. A., Sieglaff, J. M., Stano, G. T., Goodman, S. J. (in press). Using GOES-R demonstration products to “bridge the gap” between severe weather watches and warnings: An example for the 20 May 2013 Moore, OK tornado outbreak. Bull. Amer. Meteorol. Soc.
  • Harmsen, E. W., Cruz, P. T., Mecikalski, J. R. (2014). Calibration of selected pyranometers and satellite derived solar radiation in Puerto Rico. Int. J. Renewable Energy Technology, 5, 43-54.
  • Vant-Hull, B., Mahani, S., Autones, F., Mecikalski, J. R., Rabin, R. (2014). Infrared satellite rainfall monitoring: relationships between cloud towers, rainfall intensity, and lightning. Int. J. Water, 8(4), 343 - 367.
  • Matthee, R., Mecikalski, J. R., Carey, L. D., Bitzer, P. M. (2014). Quantitative differences between lightning and non-lightning convective rainfall events as observed with polarimetric radar and MSG satellite data. Monthly Weather Review, 142, 3651–3665.