Articles | Volume 22, issue 9
https://doi.org/10.5194/acp-22-6115-2022
https://doi.org/10.5194/acp-22-6115-2022
Research article
 | 
10 May 2022
Research article |  | 10 May 2022

Refining an ensemble of volcanic ash forecasts using satellite retrievals: Raikoke 2019

Antonio Capponi, Natalie J. Harvey, Helen F. Dacre, Keith Beven, Cameron Saint, Cathie Wells, and Mike R. James

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-858', Anonymous Referee #1, 09 Dec 2021
    • AC1: 'Reply on RC1', Antonio Capponi, 30 Mar 2022
  • RC2: 'Comment on acp-2021-858', Anonymous Referee #2, 01 Mar 2022
    • AC2: 'Reply on RC2', Antonio Capponi, 30 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Antonio Capponi on behalf of the Authors (30 Mar 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (08 Apr 2022) by Yves Balkanski
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Short summary
Forecasts of the dispersal of volcanic ash in the atmosphere are hampered by uncertainties in parameters describing the characteristics of volcanic plumes. Uncertainty quantification is vital for making robust flight-planning decisions. We present a method using satellite data to refine a series of volcanic ash dispersion forecasts and quantify these uncertainties. We show how we can improve forecast accuracy and potentially reduce the regions of high risk of volcanic ash relevant to aviation.
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