A comparison of volcanic ash source term characteristics estimated by source inversion and plume rise modelling methods: Raikoke 2019

Predictions of volcanic ash location and concentration following an eruption rely heavily on estimates of source term characteristics including mass eruption rate, vertical distribution of ash and particle size distribution. These characteristics can be provided by several methods including (i) preset values based on historical data, (ii) near-source plume rise model simulations, (iii) a combination of satellite retrievals and long-range dispersion model simulations (known as source inversion). For the first time, this study presents a comparison of source term characteristics from these different methods. The study focuses on the 2019 Raikoke eruption and analysis of the volcanic ash cloud 150 km downwind from the volcano vent, representing an effective source term for the dispersion of ash in the distal volcanic cloud. Results indicate good agreement in the vertical distribution of ash between the plume rise and source inversion methods but large differences in estimates of the horizontal mass flux at this distance. The plume rise model demonstrates the rapid sedimentation and deposition of coarse ( > 100 μ m diameter) ash particles close to the volcano vent resulting in a particle size distribution comparable to the preset distribution used operationally by the London VAAC at this range. These results suggest that source inversion can provide a computationally cheaper alternative to the 3D plume rise method for estimating the vertical distribution of ash, and that the assumption of near-source fallout of coarse particles in the preset particle size distribution holds fairly well. Further investigations are recommended including particle aggregation effects to understand differences in estimates of the effective mass eruption rate. • Study compares volcanic ash source term estimation methods for the 2019 Raikoke eruption. • Good agreement found in ash vertical distribution between plume rise and source inversion. • Large differences observed in horizontal mass flux estimates between different methods. • Source inversion offers a cheaper alternative to 3D plume models for determining vertical ash distribution. • Coarse particle fallout near vent aligns with preset particle size distribution estimates.

Authors

Institutions

Publication Details

Journal
Journal of Volcanology and Geothermal Research
Published
2025-03-05
DOI
https://doi.org/10.1016/j.jvolgeores.2025.108304
Citations
2
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
2.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A comparison of volcanic ash source term characteristics estimated by source inversion and plume rise modelling methods: Raikoke 2019

Michael Herzog, Helen Dacre, Helen Webster, Natalie J. Harvey
2 citations
Journal of Volcanology and Geothermal Research
Atmospheric and Environmental Gas Dynamics
2.21
article

A comparison of volcanic ash source term characteristics estimated by source inversion and plume rise modelling methods: Raikoke 2019

Michael Herzog, Helen Dacre, Helen Webster, Natalie J. Harvey
article en
2 citations

Abstract

Predictions of volcanic ash location and concentration following an eruption rely heavily on estimates of source term characteristics including mass eruption rate, vertical distribution of ash and particle size distribution. These characteristics can be provided by several methods including (i) preset values based on historical data, (ii) near-source plume rise model simulations, (iii) a combination of satellite retrievals and long-range dispersion model simulations (known as source inversion). For the first time, this study presents a comparison of source term characteristics from these different methods. The study focuses on the 2019 Raikoke eruption and analysis of the volcanic ash cloud 150 km downwind from the volcano vent, representing an effective source term for the dispersion of ash in the distal volcanic cloud. Results indicate good agreement in the vertical distribution of ash between the plume rise and source inversion methods but large differences in estimates of the horizontal mass flux at this distance. The plume rise model demonstrates the rapid sedimentation and deposition of coarse ( > 100 μ m diameter) ash particles close to the volcano vent resulting in a particle size distribution comparable to the preset distribution used operationally by the London VAAC at this range. These results suggest that source inversion can provide a computationally cheaper alternative to the 3D plume rise method for estimating the vertical distribution of ash, and that the assumption of near-source fallout of coarse particles in the preset particle size distribution holds fairly well. Further investigations are recommended including particle aggregation effects to understand differences in estimates of the effective mass eruption rate. • Study compares volcanic ash source term estimation methods for the 2019 Raikoke eruption. • Good agreement found in ash vertical distribution between plume rise and source inversion. • Large differences observed in horizontal mass flux estimates between different methods. • Source inversion offers a cheaper alternative to 3D plume models for determining vertical ash distribution. • Coarse particle fallout near vent aligns with preset particle size distribution estimates.

Journal of Volcanology and Geothermal ResearchVol. 462
Met Office (GB), University of Exeter (GB), University of Cambridge (GB), University of Reading (GB)
Sight Research UK, Natural Environment Research Council
Climate action
Openalex Percentile: Top 15%
Atmospheric and Environmental Gas Dynamics
2.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.