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RELATED TECHNICAL PAPERS ::

Mecikalski, J. R., X. Li, L. D. Carey, E. W. McCaul, Jr., and T. A. Coleman, 2013: Regional comparison of GOES cloud-top properties and radar characteristics in advance of first-flash lightning initiation. Mon. Wea. Rev. 141, 55-74. (download pdf)

Mecikalski, J. R., P. Minnis, and R. Palikonda, 2013: Use of satellite derived cloud properties to quantify growing cumulus beneath cirrus clouds. Atmos. Res., 120-121, 192-201. (download pdf)

Walker, J. R., W. M. MacKenzie, and J. R. Mecikalski, 2012: An enhanced geostationary satellite-based convective initiation algorithm for 0–2 hour nowcasting with object tracking. J. Appl. Meteor. Climatol., 51, 1931-1949. (download pdf)

Mecikalski, J. R., P. D. Watts, and M. Koenig, 2011: Use of Meteosat Second Generation optimal cloud analysis fields for understanding physical attributes of growing cumulus clouds. Atmos. Res., 102, 175-190. (download pdf)

Harris, R. J., J. R. Mecikalski, W. M. MacKenzie, Jr., P. A. Durkee, and K. E. Nielsen, 2010: The definition of GOES infrared lightning initiation interest fields. J. Appl. Meteor. Climat., 49, 2527-2543. (download pdf)

Siewert, C. W., M. Koenig, and J. R. Mecikalski, 2010: Application of Meteosat Second Generation data towards improving the nowcasting of convective initiation. Meteorol. Appl., 17, 442-451. (download pdf)

Mecikalski, J. R., W. M. Mackenzie, M. Koenig, and S. Muller, 2010b: Use of Meteosat Second Generation infrared data in 0-1 hour convective initiation nowcasting. Part 2. Use of visible reflectance. J. Appl. Meteor. Climat. 49, 2544-2558. (download pdf)

Mecikalski, J. R., W. M. Mackenzie, M. Koenig, and S. Muller, 2010a: Use of Meteosat Second Generation infrared data in 0-1 hour convective initiation nowcasting. Part 1. Infrared fields. J. Appl. Meteor. Climate., 49, 521-534. (download pdf)

Mecikalski, J. R., W. M. Mackenzie, M. Koenig, and S. Muller, 2010a: Use of Meteosat Second Generation infrared data in 0-1 hour convective initiation nowcasting. Part 1. Infrared fields. J. Appl. Meteor. Climate., 49, 521-534. (download pdf)

Bedka, K. M., C. S. Velden, R. Petersen, and J. R. Mecikalski, 2009: Statistical comparisons between satellite-derived atmospheric motion vectors, rawinsondes, and NOAA wind profiler observations. J. Appl. Meteor. Climate. 48, 1542-1561. (download pdf)

Mecikalski, J. R., K. M. Bedka, S. J. Paech, and L. A. Litten, 2008: A statistical evaluation of GOES cloud-top properties for predicting convective initiation. Mon. Wea. Rev., 136, 4899-4914. (download pdf)

Berendes, T. A., J. R. Mecikalski, W. M. Mackenzie, K. M. Bedka, and U. S. Nair, 2008: Convective cloud detection in satellite imagery using standard deviation limited adaptive clustering. J. Geophys. Res., 113, 20207, doi:10.1029/2008JD010287. (download pdf)

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. (download pdf)

Bedka, K. M., and J. R. Mecikalski, 2005: Application of satellite-derived atmospheric motion vectors for estimating mesoscale flows. J. Appl. Meteor. 44, 1761-1772. (download pdf)

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