Articles | Volume 22, issue 21
Research article
02 Nov 2022
Research article |  | 02 Nov 2022

Evaluation and bias correction of probabilistic volcanic ash forecasts

Alice Crawford, Tianfeng Chai, Binyu Wang, Allison Ring, Barbara Stunder, Christopher P. Loughner, Michael Pavolonis, and Justin Sieglaff


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-290', Arnau Folch, 26 May 2022
    • AC1: 'Reply on RC1', Alice Crawford, 18 Jun 2022
  • RC2: 'Comment on egusphere-2022-290', Anonymous Referee #2, 26 Jul 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Alice Crawford on behalf of the Authors (29 Aug 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (05 Sep 2022) by Stefano Galmarini
AR by Alice Crawford on behalf of the Authors (15 Sep 2022)  Author's response   Manuscript 
Short summary
This study describes the development of a workflow which produces probabilistic and quantitative forecasts of volcanic ash in the atmosphere. The workflow includes methods of incorporating satellite observations of the ash cloud into a modeling framework as well as verification statistics that can be used to guide further model development and provide information for risk-based approaches to flight planning.
Final-revised paper