Articles | Volume 11, issue 3
https://doi.org/10.5194/amt-11-1615-2018
https://doi.org/10.5194/amt-11-1615-2018
Research article
 | 
22 Mar 2018
Research article |  | 22 Mar 2018

A prototype method for diagnosing high ice water content probability using satellite imager data

Christopher R. Yost, Kristopher M. Bedka, Patrick Minnis, Louis Nguyen, J. Walter Strapp, Rabindra Palikonda, Konstantin Khlopenkov, Douglas Spangenberg, William L. Smith Jr., Alain Protat, and Julien Delanoe

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Cited articles

Ai, Y., Li, J., Shi, W., Schmit, T. J., Cao, C., and Li, W.: Deep convective cloud characterizations from both broadband imager and hyperspectral infrared sounder measurements, J. Geophys. Res.-Atmos., 122, 1700–1712, https://doi.org/10.1002/2016JD025408, 2017.
Apke, J. M., Mecikalski, J. R., and Jewett, C. P.: Analysis of mesoscale atmospheric flows above mature deep convection using super rapid scan geostationary satellite data, J. Appl. Meteorol. Clim., 55, 1859–1887, https://doi.org/10.1175/JAMC-D-15-0253.1, 2016.
Bedka, K., Brunner, J., Dworak, R., Feltz, W., Otkin, J., and Greenwald, T.: Objective satellite-based detection of overshooting tops using infrared window channel brightness temperature gradients, J. Appl. Meteorol. Clim., 49, 181–202, https://doi.org/10.1175/2009JAMC2286.1, 2010.
Bedka, K., Dworak, R., Brunner, J., and Feltz, W.: Validation of satellite-based objective overshooting cloud-top detection methods using CloudSat cloud profiling radar observations, J. Appl. Meteorol. Clim., 51, 1811–1822, https://doi.org/10.1175/JAMC-D-11-0131.1, 2012.
Bedka, K. M. and Khlopenkov, K.: A probabilistic multispectral pattern recognition method for detection of overshooting cloud tops using passive satellite imager observations, J. Appl. Meteorol. Clim., 55, 1983–2005, https://doi.org/10.1175/JAMC-D-15-0249.1, 2016.
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Accretion of cloud ice particles upon engine or instrument probe surfaces can cause engine malfunction or even power loss, and therefore it is important for aircraft to avoid flight through clouds that may have produced large quantities of ice particles. This study introduces a method by which potentially hazardous conditions can be detected using satellite imagery. It was found that potentially hazardous conditions were often located near or beneath very cold clouds and thunderstorm updrafts.