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

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

doi:https://doi.org/10.5194/amt-11-1615-2018

Articles | Volume 11, issue 3

https://doi.org/10.5194/amt-11-1615-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-11-1615-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 3

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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Final revised paper (published on 22 Mar 2018)
Supplement to the final revised paper
Preprint (discussion started on 01 Nov 2017)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'review amt-2017-367', Adrianus de Laat, 22 Nov 2017
- AC1: 'RC1 responses', Christopher Yost, 23 Jan 2018
RC2: 'Review of manuscript "A Prototype Method for Diagnosing High Ice Water Content Probability Using Satellite Imager Data2, by Yost et al.', Anonymous Referee #3, 28 Nov 2017
- AC2: 'RC2 response', Christopher Yost, 23 Jan 2018

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

AR by Christopher Yost on behalf of the Authors (14 Feb 2018)

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.