Satellite-based Nowcasting and Aviation Program

Publications

Peer Reviewed papers by University of Wisconsin CIMSS

2009

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 76–86.

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 1110–1116.

Lenz, A., K. Bedka, W. Feltz, and S. Ackerman, 2009: Convectively-induced transverse band signatures in satellite imagery. Accepted for publicaiton in J. of Weather and Forecasting

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 450–463.

2008

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 49–78.

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 4899–4914.

2007

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 2221–2239.

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 853–872

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 662–670.

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.

2006

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 1422–1444.

2005

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 1761–1772.

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, 21–22.

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 804–826.

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 ftp://ftp.ssec.wisc.edu/validation/thesis/uhlenbrock/