Articles | Volume 8, issue 8
https://doi.org/10.5194/gmd-8-2447-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-2447-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
PLUME-MoM 1.0: A new integral model of volcanic plumes based on the method of moments
M. de' Michieli Vitturi
Istituto Nazionale di Geofisica e Vulcanologia, Pisa, Italy
Istituto Nazionale di Geofisica e Vulcanologia, Pisa, Italy
S. Barsotti
Icelandic Meteorological Office, Reykjavík, Iceland
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32 citations as recorded by crossref.
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- CrystalMom: a new model for the evolution of crystal size distributions in magmas with the quadrature-based method of moments C. Simone et al. 10.1007/s00410-017-1421-6
- A framework for validation and benchmarking of pyroclastic current models T. Esposti Ongaro et al. 10.1007/s00445-020-01388-2
- Simulating the Transport and Dispersal of Volcanic Ash Clouds With Initial Conditions Created by a 3D Plume Model Z. Cao et al. 10.3389/feart.2021.704797
- The effect of wind and plume height reconstruction methods on the accuracy of simple plume models — a second look at the 2010 Eyjafjallajökull eruption T. Dürig et al. 10.1007/s00445-022-01541-z
- What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement and to inform policy-making in earth system modelling T. Wagener & F. Pianosi 10.1016/j.earscirev.2019.04.006
- Quantifying the Uncertainty of a Coupled Plume and Tephra Dispersal Model: PLUME‐MOM/HYSPLIT Simulations Applied to Andean Volcanoes A. Tadini et al. 10.1029/2019JB018390
- Reconstructing eruptive source parameters from tephra deposit: a numerical study of medium-sized explosive eruptions at Etna volcano A. Spanu et al. 10.1007/s00445-016-1051-2
- Uncertainties in volcanic plume modeling: A parametric study using FPLUME G. Macedonio et al. 10.1016/j.jvolgeores.2016.03.016
- Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna V. Freret-Lorgeril et al. 10.3390/rs13112097
- Optimizing mass eruption rate estimates by combining simple plume models T. Dürig et al. 10.3389/feart.2023.1250686
- Grain size distribution uncertainty quantification in volcanic ash dispersal and deposition from weak plumes F. Pardini et al. 10.1002/2015JB012536
- A review of laboratory and numerical modelling in volcanology J. Kavanagh et al. 10.5194/se-9-531-2018
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- Effect of particle volume fraction on the settling velocity of volcanic ash particles: insights from joint experimental and numerical simulations E. Del Bello et al. 10.1038/srep39620
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- The terminal velocity of volcanic particles with shape obtained from 3D X-ray microtomography F. Dioguardi et al. 10.1016/j.jvolgeores.2016.11.013
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- The Impact of Eruption Source Parameter Uncertainties on Ash Dispersion Forecasts During Explosive Volcanic Eruptions F. Dioguardi et al. 10.1029/2020JD032717
- Quantifying the Effect of Wind on Volcanic Plumes: Implications for Plume Modeling T. Dürig et al. 10.1029/2022JD037781
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- Results of the eruptive column model inter-comparison study A. Costa et al. 10.1016/j.jvolgeores.2016.01.017
- Tephra Fallout Probabilistic Hazard Maps for Cotopaxi and Guagua Pichincha Volcanoes (Ecuador) With Uncertainty Quantification A. Tadini et al. 10.1029/2021JB022780
- Ensemble-Based Data Assimilation of Volcanic Ash Clouds from Satellite Observations: Application to the 24 December 2018 Mt. Etna Explosive Eruption F. Pardini et al. 10.3390/atmos11040359
- Initial constraints on triggering mechanisms of the eruption of Fuego volcano (Guatemala) from 3 June 2018 using IASI satellite data F. Pardini et al. 10.1016/j.jvolgeores.2019.03.014
- ASHEE-1.0: a compressible, equilibrium–Eulerian model for volcanic ash plumes M. Cerminara et al. 10.5194/gmd-9-697-2016
- The Effect of Wind and Atmospheric Stability on the Morphology of Volcanic Plumes From Vulcanian Eruptions A. Poulidis et al. 10.1029/2018JB016958
- Uncertainty quantification and sensitivity analysis of volcanic columns models: Results from the integral model PLUME-MoM M. de' Michieli Vitturi et al. 10.1016/j.jvolgeores.2016.03.014
- Plume-SPH 1.0: a three-dimensional, dusty-gas volcanic plume model based on smoothed particle hydrodynamics Z. Cao et al. 10.5194/gmd-11-2691-2018
32 citations as recorded by crossref.
- Physical properties of pyroclastic density currents: relevance, challenges and future directions T. Jones et al. 10.3389/feart.2023.1218645
- Insights into the formation and dynamics of coignimbrite plumes from one‐dimensional models S. Engwell et al. 10.1002/2016JB012793
- CrystalMom: a new model for the evolution of crystal size distributions in magmas with the quadrature-based method of moments C. Simone et al. 10.1007/s00410-017-1421-6
- A framework for validation and benchmarking of pyroclastic current models T. Esposti Ongaro et al. 10.1007/s00445-020-01388-2
- Simulating the Transport and Dispersal of Volcanic Ash Clouds With Initial Conditions Created by a 3D Plume Model Z. Cao et al. 10.3389/feart.2021.704797
- The effect of wind and plume height reconstruction methods on the accuracy of simple plume models — a second look at the 2010 Eyjafjallajökull eruption T. Dürig et al. 10.1007/s00445-022-01541-z
- What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement and to inform policy-making in earth system modelling T. Wagener & F. Pianosi 10.1016/j.earscirev.2019.04.006
- Quantifying the Uncertainty of a Coupled Plume and Tephra Dispersal Model: PLUME‐MOM/HYSPLIT Simulations Applied to Andean Volcanoes A. Tadini et al. 10.1029/2019JB018390
- Reconstructing eruptive source parameters from tephra deposit: a numerical study of medium-sized explosive eruptions at Etna volcano A. Spanu et al. 10.1007/s00445-016-1051-2
- Uncertainties in volcanic plume modeling: A parametric study using FPLUME G. Macedonio et al. 10.1016/j.jvolgeores.2016.03.016
- Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna V. Freret-Lorgeril et al. 10.3390/rs13112097
- Optimizing mass eruption rate estimates by combining simple plume models T. Dürig et al. 10.3389/feart.2023.1250686
- Grain size distribution uncertainty quantification in volcanic ash dispersal and deposition from weak plumes F. Pardini et al. 10.1002/2015JB012536
- A review of laboratory and numerical modelling in volcanology J. Kavanagh et al. 10.5194/se-9-531-2018
- Non-equilibrium processes in ash-laden volcanic plumes: new insights from 3D multiphase flow simulations T. Esposti Ongaro & M. Cerminara 10.1016/j.jvolgeores.2016.04.004
- Effect of particle volume fraction on the settling velocity of volcanic ash particles: insights from joint experimental and numerical simulations E. Del Bello et al. 10.1038/srep39620
- MagmaFOAM-1.0: a modular framework for the simulation of magmatic systems F. Brogi et al. 10.5194/gmd-15-3773-2022
- The terminal velocity of volcanic particles with shape obtained from 3D X-ray microtomography F. Dioguardi et al. 10.1016/j.jvolgeores.2016.11.013
- PLUME-MoM-TSM 1.0.0: a volcanic column and umbrella cloud spreading model M. de' Michieli Vitturi & F. Pardini 10.5194/gmd-14-1345-2021
- The Impact of Eruption Source Parameter Uncertainties on Ash Dispersion Forecasts During Explosive Volcanic Eruptions F. Dioguardi et al. 10.1029/2020JD032717
- Quantifying the Effect of Wind on Volcanic Plumes: Implications for Plume Modeling T. Dürig et al. 10.1029/2022JD037781
- FPLUME-1.0: An integral volcanic plume model accounting for ash aggregation A. Folch et al. 10.5194/gmd-9-431-2016
- The grain size dependency of vesicular particle shapes strongly affects the drag of particles. First results from microtomography investigations of Campi Flegrei fallout deposits D. Mele & F. Dioguardi 10.1016/j.jvolgeores.2018.01.023
- 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. 10.3390/atmos13050784
- Results of the eruptive column model inter-comparison study A. Costa et al. 10.1016/j.jvolgeores.2016.01.017
- Tephra Fallout Probabilistic Hazard Maps for Cotopaxi and Guagua Pichincha Volcanoes (Ecuador) With Uncertainty Quantification A. Tadini et al. 10.1029/2021JB022780
- Ensemble-Based Data Assimilation of Volcanic Ash Clouds from Satellite Observations: Application to the 24 December 2018 Mt. Etna Explosive Eruption F. Pardini et al. 10.3390/atmos11040359
- Initial constraints on triggering mechanisms of the eruption of Fuego volcano (Guatemala) from 3 June 2018 using IASI satellite data F. Pardini et al. 10.1016/j.jvolgeores.2019.03.014
- ASHEE-1.0: a compressible, equilibrium–Eulerian model for volcanic ash plumes M. Cerminara et al. 10.5194/gmd-9-697-2016
- The Effect of Wind and Atmospheric Stability on the Morphology of Volcanic Plumes From Vulcanian Eruptions A. Poulidis et al. 10.1029/2018JB016958
- Uncertainty quantification and sensitivity analysis of volcanic columns models: Results from the integral model PLUME-MoM M. de' Michieli Vitturi et al. 10.1016/j.jvolgeores.2016.03.014
- Plume-SPH 1.0: a three-dimensional, dusty-gas volcanic plume model based on smoothed particle hydrodynamics Z. Cao et al. 10.5194/gmd-11-2691-2018
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Short summary
In this paper a new mathematical model of volcanic plume, named Plume-MoM, is presented. The model is based on the method of moments and it is able to describe the continuous variability in the grain size distribution (GSD) of the pyroclastic mixture ejected at the vent, crucial to characterize the source conditions of ash dispersal models. Results show that the GSD at the top of the plume is similar to that at the base and that plume height is weakly affected by the parameters of the GSD.
In this paper a new mathematical model of volcanic plume, named Plume-MoM, is presented. The...