Skip Navigation
Satellite-based Nowcasting and Aviation Program


Peer Reviewed papers by University of Wisconsin CIMSS


Dworak, R., K. Bedka, J. Brunner and W. Feltz, 2012: Comparison between GOES-12 Overshooting Top Detections, WSR-88D Radar Reflectivity, and Severe Storm Reports. Wea. Forecasting, Vol. 27, pp 684–699.


Bedka, K.M., 2010: Overshooting cloud top detections using MSG SEVIRI infrared brightness temperatures and their relationship to severe weather over Europe. Submitted to Atmos. Res.

Pavolonis, M.J., 2010: Advances in Extracting Cloud Composition Information from Spaceborne Infrared Radiances: A Robust Alternative to Brightness Temperatures Part I: Theory. J. Appl. Meteor. Climatol., doi: 10.1175/2010JAMC2433.1, Sepetember, 2010.

Sieglaff, J.M., L.M. Cronce, W.F. Feltz, K.M. Bedka, M.J. Pavolonis, and A. Heidinger 2010: Nowcasting convective storm initiation using box-averaged cloud-top cooling and microphysical phase trends. Submitted to J. Appl. Meteor. Climatol. January, 2010.


Bedka, K.M., J. Brunner, R. Dworak, W. Feltz, J. Otkin, and T. Greenwald, 2009: Objective satellite-based overshooting top detection using infrared window channel brightness temperature gradients. Accepted for publication.

Bedka, K.M., C. Velden, R. Petersen, W. F. Feltz, and J. R. Mecikalski, 2009: Comparisons of satellite-derived atmospheric motion vectors, rawinsondes, and NOAA profiler observations. Accepted for publication in J. Appl. Meteor. Climatol.

Feltz, W. F., K. M. Bedka, J. Otkin, T. Greenwald and S. A. Ackerman, 2009: Understanding satellite obvserved mountain-wave signatures using high-resolution numberical model data. Wea. Forecasting, Vol. 24, Issue 1, pages 7686.

Heidinger, A. K., and M. J. Pavolonis, 2009: Gazing at cirrus clouds for 25 years through a split window, part 1: Methodology. J. Appl. Meteor. Climatol., Vol. 48, Issue 6, pages 11101116.

Lenz, A., K. Bedka, W. Feltz, and S. Ackerman, 2009: Convectively-induced transverse band signatures in satellite imagery. Wea. Forecasting, Vol. 24, No. 5, pages 1362–1373

Velden, C. S., and K. M. Bedka, 2009: Identifying the uncertainty in determining satellite-derived atmospheric motion vector height attribution. J. Appl. Meteor. Climatol., Vol. 48, Issue 3, pages 450463.


Berendes, T. A., J. R. Mecikalski, W. M. MacKenzie, K. M. Bedka, and U. S. Nair, 2008: Convective cloud indentification and classification in daytime satellite imagery using deviation limited adaptive clustering. J. Geophys. Res., Vol. 113, Doi.10:1029/2008JDO10287

Lenz, A., 2008: Identification of aviation turbulence signatures from mesoscale convective features using satellite imagery. Senior Undergraduate Thesis University of Wisconsin-Madison

Mecikalski, J. R. and K. M. Bedka, 2008: Forecasting convective initiation by monitoring the evolution of moving cumulus in daytime GOES imagery. Mon. Wea. Rev. Vol. 134, Issue 1, pages 4978.

Mecikalski, J. R., K. M. Bedka, S. J. Paech, L. A. Litten, 2008: A statistical evaluation of GOES cloud-top properties for nowcasting convective initiation. Mon. Wea. Rev. Vol. 136, Issue 12, pages 48994914.


Bedka, S. T., W. F. Feltz, A. J. Schreiner, and R. E. Holz, 2007: Satellite-derived cloud top pressure product validation using aircraft-based cloud physics lidar data from the ATReC field campaign. Int. J. Remote Sens., Vol. 28, Issue 10, pages 22212239.

Brunner, J. C., S. A. Ackerman, A. S. Bachmeier, and R. M. Rabin, 2007: A quantitative analysis of the enhanced-V feature in relation to severe weather. Wea. Forecasting Vol. 22, Issue 4, pages 853872

Uhlenbrock, N. L., K. M. Bedka, W. F. Feltz and S. A. Ackerman, 2007: Mountain wave signatures in MODIS 6.7 micron imagery and their relation to pilot reports of turbulence. Wea. Forecasting, Vol. 22, Issue 3, pages 662670.

Mecikalski, J. R., W. F. Feltz, J. J. Murray, D. B. Johnson, K. M. Bedka, S. T. Bedka, A. J. Wimmers, M. Pavolonis, T. A. Berendes, J. Haggerty, P. Minnis, B. Bernstein, and E. WIlliams, 2007: Aviation applications for satellite-based observations of cloud properties, convection initiation, in-flight icing, turbulence, and volcanic ash. Bull. Amer. Meteor. Soc. Vol. 88, Issue 10, pages 1589-1607.


Mecikalski, J. R., K. M. Bedka, D. D. Turner, W. F. Feltz, and S. J. Paech, 2006: Ability to quantify coherent turbulent structures in the convective boundary layer using thermodynamic profiling instruments. J. Geophys. Res., Vol. 111, Doi:1029/2005JD006456.

Pavolonis, M. J., W. F. Feltz, A. K. Heidinger, G. M. Gallina, 2006: A daytime complement to the reverse absorption technique for improved automated detection of volcanic ash. J. Atmos. Oceanic Technol., Vol. 23, Issue 11, pages 14221444.


Bedka K. M. and J. R. Mecikalski, 2005: Application of satellite-derived atmospheric motion vectors for estimating mesoscale flows. J. Appl. Meteor., Vol. 44, Issue 11, pages 17611772.

Bedka, S. T., W. F. Feltz, A. J. Schreiner, and R. E. Holz, 2005: Satellite derived cloud top pressure product validation using aircraft based cloud physics lidar data from the AtREC field campaign, Accepted in the Int. J. Remote Sens..

Mecikalski, J. R., K. M. Bedka, and S. J. Paech, 2005: Correlating satellite infrared trends, total lightning, and rainfall with convective initiation and development. Bull. Amer. Meteor Soc., (NOWCAST: Conference Notebook section), 86, 2122.

Pavolonis, M.J., A.K. Heidinger, and T. Uttal, 2005: Daytime global cloud typing from AVHRR and VIIRS: Algorithm description, validation, and comparisons. J. Appl. Meteor., Vol. 44, Issue 6, pages 804826.

Pavolonis, M.J. and A.K. Heidinger, 2005: A multi-year global climatology of cloud temperature and emissivity from the AVHRR split-window observations. Part II: Global Analysis. In Prep.

Uhlenbrock, N. 2005: The Use of MODIS Water Vapor Imagery, Model Output, and Pilot Reports to Diagnose Turbulent Mountian Waves, M. S. Thesis University of Wisconsin-Madison, available at