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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Christopher Yost on behalf of the Authors (06 Feb 2018)  Author's response    Manuscript
ED: Publish as is (13 Feb 2018) by Alexander Kokhanovsky
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.