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

Viewed

Total article views: 2,231 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,711 466 54 2,231 28 31
  • HTML: 1,711
  • PDF: 466
  • XML: 54
  • Total: 2,231
  • BibTeX: 28
  • EndNote: 31
Views and downloads (calculated since 09 Nov 2021)
Cumulative views and downloads (calculated since 09 Nov 2021)

Viewed (geographical distribution)

Total article views: 2,231 (including HTML, PDF, and XML) Thereof 2,182 with geography defined and 49 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Apr 2024
Download
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.
Altmetrics
Final-revised paper
Preprint