Articles | Volume 22, issue 21
https://doi.org/10.5194/acp-22-13967-2022
https://doi.org/10.5194/acp-22-13967-2022
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

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Latest update: 12 Jul 2024
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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.
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