John R. Mecikalski
Dr. John R. Mecikalski
Associate Professor
UAH
320 Sparkman Drive
Huntsville, AL 35805
Phone 256-961-7046
Fax 256-961-7788
john.mecikalski@nsstc.uah.edu
John's research interests cover a broad area, including satellite remote sensing, satellite data assimilation (teaches course ATS675-Atmospheric Data Assimilation), tropical dynamics (teaches ATS656-Tropical Meteorology), cloud-resolving modeling, issues of convective initiation, convective scale dynamics (teaches ATS740-Cloud Processes), synoptic meteorology (teaches ATS652-Advanced Synoptic Meteorology), land-surface energy budgets and soil moisture retrievals, as well as solar insolation modeling. New areas of research include dual-polarimetric radar assimilation, lightning initiation and convective regime assessment via remote sensing. Dr. Mecikalski mentors between 3 and 7 graduate students (on average) at UAHuntville, and has active collaboration with NOAA, NASA, USDA, USGS, the Univ. of New Hampshire, U. Wisconsin-CIMSS, NCAR-RAL and EUMETSAT (Germany).
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Education
- Doctor of Philosophy in Atmospheric Science/Math/Comp. Sci. (1999), The University of Wisconsin - Madison, Atmospheric & Oceanic Sciences Department
- Master of Science in Atmospheric Science/Math (1991), The University of Wisconsin - Milwaukee
- Bachelor of Science in Atmospheric Science/Botany/Math (1988), The University of Wisconsin - Milwaukee
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Positions
- Associate Professor (August 2009 - Present), UAHuntsville
- Assistant Professor (January 2004 - August 2009), UAHuntsville
- Assistant Scientist (July 2002 - December 2003), UW—Cooperative Institute for Meteorological Satellite Studies (CIMSS). PI on multiple projects, numerous collaborators
- Associate Researcher (July 1997 - June 2002), UW—CIMSS, Attained PI status
- Assistant Researcher (January 1995 - June 1997), UW—CIMSS, Dr. George R. Diak supervisor
- Software and System Tester (May 1992 - January 1995), Space Science and Engineering Center (SSEC), Man-computer Interactive Data Access System (McIDAS)
- Meteorologist Intern (May 1990 - July 1991), National Weather Service in Green Bay, Wisconsin
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Publications
- Mecikalski, J. R., 2003: Estimating momentum fluxes of deep precipitating convection using profiling Doppler radar. J. Geophys. Res., 108 (D6), AAC2-1-AAC2-14. (March 2003)
- Mecikalski, J. R., K. M. Bedka, S. J. Paech, and L. A. Litten, 2008: A statistical evaluation of GOES cloud-top properties for nowcasting convective initiation. Mon. Wea. Rev., 136, 4899-4914.
- Li, X., and Mecikalski, J. R., 2009: Impact of dual-Polarization Doppler radar data on the short-term forecasts of two convective storms. In review. Mon. Wea. Rev.
- Mecikalski, J. R., W. M. MacKenzie, Jr., M. Koenig, and S. A. Muller, 2009: Use of Meteosat Second Generation data in 0-1 hour convective initiation nowcasting. Part I: Infrared fields. Accepted. J. Appl. Meteorol. Climate.
- Mecikalski, J. R., J. J. Murray, W. F. Feltz, D. B. Johnson, K. M. Bedka, S. M. Bedka, others, 2007: Aviation applications for satellite-based observations of cloud properties, convective initiation, in-flight icing, turbulence and volcanic ash. Bull Amer. Meteor. Soc., 88, 1589-1607.
- Mecikalski, J. R., G. R. Diak, M. C. Anderson, and J. M. Norman, 1999: Estimating fluxes on continental scales using remotely-sensed data in an atmospheric-land exchange model. J. Appl. Meteor., 38, 1352-1369.
- Mecikalski, J. R., and G. J. Tripoli, 2003: The influence of upper tropospheric inertial stability on the cumulus transport of momentum. Q. J. Roy. Meteor. Soc., 129, 1537-1563.
- Mecikalski, J. R., and K. M. Bedka, 2006: Forecasting convective initiation by monitoring the evolution of moving convection in daytime GOES imagery. Mon. Wea. Rev. 134, 49-78.
- Siewert, C. W., M. Koenig, and J. R. Mecikalski, 2009: Application of Meteostat Second Generation data towards improving the nowcasting of convective initiation. In press. Meteorol. Appl.
- Mackenzie, W. M., Mecikalski, J.R., and C. W. Siewert, 2009: Enhancements to 0-2 hour lightning initiation and nighttime convective initiation through use of the 3.9 µm channel on GOES. In review. J. Geophys. Res.
- Mecikalski, J. R., G. R. Diak, M. C. Anderson, and J. M. Norman, 1999: Estimating fluxes on continental scales using remotely-sensed data in an atmospheric-land exchange model. J. Appl. Meteor., 38, 1352-1369.
