Articles | Volume 15, issue 20
Research article
20 Oct 2022
Research article |  | 20 Oct 2022

Uncertainty-bounded estimates of ash cloud properties using the ORAC algorithm: application to the 2019 Raikoke eruption

Andrew T. Prata, Roy G. Grainger, Isabelle A. Taylor, Adam C. Povey, Simon R. Proud, and Caroline A. Poulsen


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-166', Anonymous Referee #2, 05 Jul 2022
    • AC1: 'Reply on RC1', Andrew Prata, 20 Sep 2022
  • RC2: 'Comment on amt-2022-166', Anonymous Referee #1, 08 Jul 2022
    • AC2: 'Reply on RC2', Andrew Prata, 20 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Andrew Prata on behalf of the Authors (20 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (20 Sep 2022) by Christian von Savigny
RR by Anonymous Referee #1 (20 Sep 2022)
RR by Anonymous Referee #2 (21 Sep 2022)
ED: Publish as is (21 Sep 2022) by Christian von Savigny
Short summary
Satellite observations are often used to track ash clouds and estimate their height, particle sizes and mass; however, satellite-based techniques are always associated with some uncertainty. We describe advances in a satellite-based technique that is used to estimate ash cloud properties for the June 2019 Raikoke (Russia) eruption. Our results are significant because ash warning centres increasingly require uncertainty information to correctly interpret, aggregate and utilise the data.