Articles | Volume 22, issue 5
https://doi.org/10.5194/acp-22-3409-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-3409-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Mar 2022
Research article |
| 15 Mar 2022
| 15 Mar 2022
Modelling the size distribution of aggregated volcanic ash and implications for operational atmospheric dispersion modelling
Frances Beckett
CORRESPONDING AUTHOR
Met Office, Exeter, UK
Eduardo Rossi
Department of Earth Sciences, University of Geneva, Geneva, Switzerland
Benjamin Devenish
Met Office, Exeter, UK
Claire Witham
Met Office, Exeter, UK
Costanza Bonadonna
Department of Earth Sciences, University of Geneva, Geneva, Switzerland
Viewed
Total article views: 4,857 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 May 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,373 | 1,376 | 108 | 4,857 | 328 | 100 | 141 |
- HTML: 3,373
- PDF: 1,376
- XML: 108
- Total: 4,857
- Supplement: 328
- BibTeX: 100
- EndNote: 141
Total article views: 3,940 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Mar 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,880 | 975 | 85 | 3,940 | 169 | 86 | 129 |
- HTML: 2,880
- PDF: 975
- XML: 85
- Total: 3,940
- Supplement: 169
- BibTeX: 86
- EndNote: 129
Total article views: 917 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 May 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 493 | 401 | 23 | 917 | 159 | 14 | 12 |
- HTML: 493
- PDF: 401
- XML: 23
- Total: 917
- Supplement: 159
- BibTeX: 14
- EndNote: 12
Viewed (geographical distribution)
Total article views: 4,857 (including HTML, PDF, and XML)
Thereof 4,857 with geography defined
and 0 with unknown origin.
Total article views: 3,940 (including HTML, PDF, and XML)
Thereof 3,940 with geography defined
and 0 with unknown origin.
Total article views: 917 (including HTML, PDF, and XML)
Thereof 917 with geography defined
and 0 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
17 citations as recorded by crossref.
- Understanding and modeling tephra transport: lessons learned from the 18 May 1980 eruption of Mount St. Helens L. Mastin et al. https://doi.org/10.1007/s00445-022-01613-0
- Voronoi-based analysis of clustering dynamics in experimental volcanic ash clouds A. Capponi et al. https://doi.org/10.1007/s00445-025-01933-x
- X-Ray micro-tomography unveils the internal features of volcanic ash aggregates P. Gabellini et al. https://doi.org/10.1038/s43247-025-02378-y
- A One‐Dimensional Volcanic Plume Model for Predicting Ash Aggregation D. Hoffman et al. https://doi.org/10.1029/2023JB027002
- Particle Sedimentation in Numerical Modelling: A Case Study from the Puyehue-Cordón Caulle 2011 Eruption with the PLUME-MoM/HYSPLIT Models A. Tadini et al. https://doi.org/10.3390/atmos13050784
- Satellite-Based Emission Inversion for Air Pollutants and Greenhouse Gases: A Review Z. Jiang et al. https://doi.org/10.1007/s13351-025-4914-7
- Characterization and Polydispersity of Volcanic Ash Nanoparticles in Synthetic Lung Fluid B. Schiavo et al. https://doi.org/10.3390/toxics11070624
- Inertial particle clustering due to turbulence in an air jet B. Viggiano et al. https://doi.org/10.1016/j.ijmultiphaseflow.2024.104734
- Insights into the sticking probability of volcanic ash particles from laboratory experiments C. Diaz-Vecino et al. https://doi.org/10.1038/s41598-023-47712-6
- Torques on curved atmospheric fibers F. Candelier et al. https://doi.org/10.1103/PhysRevResearch.7.013179
- Size-resolved CMAS deposition characteristics on film-cooled turbine vanes Z. Chu et al. https://doi.org/10.1016/j.powtec.2026.122525
- How dependent are quantitative volcanic ash concentration and along‐flight dosage forecasts to model structural choices? L. James et al. https://doi.org/10.1002/met.70003
- Global sensitivity analysis of models for volcanic ash forecasting E. Scott et al. https://doi.org/10.1016/j.jvolgeores.2025.108393
- Measurements of Soot and Model Assessment for Energetic Material Intermediaries at Fireball-Relevant Conditions T. Loye et al. https://doi.org/10.1080/00295639.2026.2631305
- Formation and sedimentation of ash fingers below volcanic clouds: insights from lock-release experiments C. Díaz-Vecino et al. https://doi.org/10.3389/feart.2026.1781303
- EXPERIMENTAL STUDY OF PREFERENTIAL CONCENTRATION WITHIN A PARTICLE-LADEN JET M. Hossain et al. https://doi.org/10.1615/JFlowVisImageProc.2025056985
- Volcanic emission estimates from the inversion of ACTRIS lidar observations and their use for quantitative dispersion modeling A. Kampouri et al. https://doi.org/10.5194/acp-25-7343-2025
17 citations as recorded by crossref.
- Understanding and modeling tephra transport: lessons learned from the 18 May 1980 eruption of Mount St. Helens L. Mastin et al. https://doi.org/10.1007/s00445-022-01613-0
- Voronoi-based analysis of clustering dynamics in experimental volcanic ash clouds A. Capponi et al. https://doi.org/10.1007/s00445-025-01933-x
- X-Ray micro-tomography unveils the internal features of volcanic ash aggregates P. Gabellini et al. https://doi.org/10.1038/s43247-025-02378-y
- A One‐Dimensional Volcanic Plume Model for Predicting Ash Aggregation D. Hoffman et al. https://doi.org/10.1029/2023JB027002
- Particle Sedimentation in Numerical Modelling: A Case Study from the Puyehue-Cordón Caulle 2011 Eruption with the PLUME-MoM/HYSPLIT Models A. Tadini et al. https://doi.org/10.3390/atmos13050784
- Satellite-Based Emission Inversion for Air Pollutants and Greenhouse Gases: A Review Z. Jiang et al. https://doi.org/10.1007/s13351-025-4914-7
- Characterization and Polydispersity of Volcanic Ash Nanoparticles in Synthetic Lung Fluid B. Schiavo et al. https://doi.org/10.3390/toxics11070624
- Inertial particle clustering due to turbulence in an air jet B. Viggiano et al. https://doi.org/10.1016/j.ijmultiphaseflow.2024.104734
- Insights into the sticking probability of volcanic ash particles from laboratory experiments C. Diaz-Vecino et al. https://doi.org/10.1038/s41598-023-47712-6
- Torques on curved atmospheric fibers F. Candelier et al. https://doi.org/10.1103/PhysRevResearch.7.013179
- Size-resolved CMAS deposition characteristics on film-cooled turbine vanes Z. Chu et al. https://doi.org/10.1016/j.powtec.2026.122525
- How dependent are quantitative volcanic ash concentration and along‐flight dosage forecasts to model structural choices? L. James et al. https://doi.org/10.1002/met.70003
- Global sensitivity analysis of models for volcanic ash forecasting E. Scott et al. https://doi.org/10.1016/j.jvolgeores.2025.108393
- Measurements of Soot and Model Assessment for Energetic Material Intermediaries at Fireball-Relevant Conditions T. Loye et al. https://doi.org/10.1080/00295639.2026.2631305
- Formation and sedimentation of ash fingers below volcanic clouds: insights from lock-release experiments C. Díaz-Vecino et al. https://doi.org/10.3389/feart.2026.1781303
- EXPERIMENTAL STUDY OF PREFERENTIAL CONCENTRATION WITHIN A PARTICLE-LADEN JET M. Hossain et al. https://doi.org/10.1615/JFlowVisImageProc.2025056985
- Volcanic emission estimates from the inversion of ACTRIS lidar observations and their use for quantitative dispersion modeling A. Kampouri et al. https://doi.org/10.5194/acp-25-7343-2025
Saved (final revised paper)
Latest update: 11 Jun 2026
Short summary
As volcanic ash is transported through the atmosphere, it may collide and stick together to form aggregates. Neglecting the process of aggregation in atmospheric dispersion models could lead to inaccurate forecasts used by civil aviation for hazard assessment. We developed an aggregation scheme for use with the model NAME, which is used by the London Volcanic Ash Advisory Centre. Using our scheme, we investigate the impact of aggregation on simulations of the 2010 Eyjafjallajökull ash cloud.
As volcanic ash is transported through the atmosphere, it may collide and stick together to form...
Altmetrics
Final-revised paper
Preprint