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

Viewed

Total article views: 3,991 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,517 1,341 133 3,991 430 151 175
  • HTML: 2,517
  • PDF: 1,341
  • XML: 133
  • Total: 3,991
  • Supplement: 430
  • BibTeX: 151
  • EndNote: 175
Views and downloads (calculated since 01 Nov 2017)
Cumulative views and downloads (calculated since 01 Nov 2017)

Viewed (geographical distribution)

Total article views: 3,991 (including HTML, PDF, and XML) Thereof 3,859 with geography defined and 132 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Nov 2025
Download
Short summary
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.
Share