60 citations as recorded by crossref.

1. Volcanic ash modeling with the online NMMB-MONARCH-ASH v1.0 model: model description, case simulation, and evaluation A. Marti et al. 10.5194/acp-17-4005-2017
2. Dispersion and Aging of Volcanic Aerosols After the La Soufrière Eruption in April 2021 J. Bruckert et al. 10.1029/2022JD037694
3. The 2019 Raikoke eruption as a testbed used by the Volcano Response group for rapid assessment of volcanic atmospheric impacts J. Vernier et al. 10.5194/acp-24-5765-2024
4. The Influence of Particle Concentration on the Formation of Settling-Driven Gravitational Instabilities at the Base of Volcanic Clouds A. Fries et al. 10.3389/feart.2021.640090
5. Stability of volcanic ash aggregates and break-up processes S. Mueller et al. 10.1038/s41598-017-07927-w
6. Experimental High-Resolution Forecasting of Volcanic Ash Hazard at Sakurajima, Japan A. Poulidis et al. 10.20965/jdr.2019.p0786
7. Insights into the sticking probability of volcanic ash particles from laboratory experiments C. Diaz-Vecino et al. 10.1038/s41598-023-47712-6
8. Atmospheric processes affecting the separation of volcanic ash and SO<sub>2</sub> in volcanic eruptions: inferences from the May 2011 Grímsvötn eruption F. Prata et al. 10.5194/acp-17-10709-2017
9. Volcanic ash modeling with the NMMB-MONARCH-ASH model: quantification of offline modeling errors A. Marti & A. Folch 10.5194/acp-18-4019-2018
10. 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
11. New insights on entrainment and condensation in volcanic plumes: Constraints from independent observations of explosive eruptions and implications for assessing their impacts T. Aubry & A. Jellinek 10.1016/j.epsl.2018.03.028
12. Intricate episodic growth of a Hawaiian tephra deposit: case study of the 1959 Kīlauea Iki eruption S. Mueller et al. 10.1007/s00445-018-1249-6
13. Uncertainties in volcanic plume modeling: A parametric study using FPLUME G. Macedonio et al. 10.1016/j.jvolgeores.2016.03.016
14. FALL3D-8.0: a computational model for atmospheric transport and deposition of particles, aerosols and radionuclides – Part 1: Model physics and numerics A. Folch et al. 10.5194/gmd-13-1431-2020
15. A Computational Methodology for the Calibration of Tephra Transport Nowcasting at Sakurajima Volcano, Japan A. Poulidis et al. 10.3390/atmos12010104
16. Experimental investigation of particle aggregation in a humid and turbulent environment D. Hoffman & J. Eaton 10.1016/j.ijmultiphaseflow.2023.104423
17. Reconstructing volcanic plume evolution integrating satellite and ground-based data: application to the 23 November 2013 Etna eruption M. Poret et al. 10.5194/acp-18-4695-2018
18. The lifecycle of volcanic ash: advances and ongoing challenges J. Paredes-Mariño et al. 10.1007/s00445-022-01557-5
19. Insights into the vulnerability of vegetation to tephra fallouts from interpretable machine learning and big Earth observation data S. Biass et al. 10.5194/nhess-22-2829-2022
20. Atmospheric Dispersion Modelling at the London VAAC: A Review of Developments since the 2010 Eyjafjallajökull Volcano Ash Cloud F. Beckett et al. 10.3390/atmos11040352
21. 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
22. A One‐Dimensional Volcanic Plume Model for Predicting Ash Aggregation D. Hoffman et al. 10.1029/2023JB027002
23. Impact of global warming on the rise of volcanic plumes and implications for future volcanic aerosol forcing T. Aubry et al. 10.1002/2016JD025405
24. Modelling tephra dispersal and ash aggregation: The 26th April 1979 eruption, La Soufrière St. Vincent M. Poret et al. 10.1016/j.jvolgeores.2017.09.012
25. Model sensitivities in the case of high-resolution Eulerian simulations of local tephra transport and deposition A. Poulidis & M. Iguchi 10.1016/j.atmosres.2020.105136
26. 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
27. High–Resolution Modeling of Airflows and Particle Deposition over Complex Terrain at Sakurajima Volcano T. Takemi et al. 10.3390/atmos12030325
28. Anak Krakatau triggers volcanic freezer in the upper troposphere A. Prata et al. 10.1038/s41598-020-60465-w
29. A new analytical scaling for turbulent wind-bent plumes: Comparison of scaling laws with analog experiments and a new database of eruptive conditions for predicting the height of volcanic plumes T. Aubry et al. 10.1016/j.jvolgeores.2017.07.006
30. A review of laboratory and numerical modelling in volcanology J. Kavanagh et al. 10.5194/se-9-531-2018
31. The 1986–2021 paroxysmal episodes at the summit craters of Mt. Etna: Insights into volcano dynamics and hazard D. Andronico et al. 10.1016/j.earscirev.2021.103686
32. Aggregation in particle rich environments: a textural study of examples from volcanic eruptions, meteorite impacts, and fluidized bed processing S. Mueller et al. 10.1007/s00445-018-1207-3
33. Ash sedimentation by fingering and sediment thermals from wind-affected volcanic plumes V. Freret-Lorgeril et al. 10.1016/j.epsl.2020.116072
34. Modeling Eruption Source Parameters by Integrating Field, Ground‐Based, and Satellite‐Based Measurements: The Case of the 23 February 2013 Etna Paroxysm M. Poret et al. 10.1029/2017JB015163
35. Volcanic ash forecast using ensemble-based data assimilation: an ensemble transform Kalman filter coupled with the FALL3D-7.2 model (ETKF–FALL3D version 1.0) S. Osores et al. 10.5194/gmd-13-1-2020
36. The Impact of Eruption Source Parameter Uncertainties on Ash Dispersion Forecasts During Explosive Volcanic Eruptions F. Dioguardi et al. 10.1029/2020JD032717
37. Turbulent Entrainment Into Volcanic Plumes: New Constraints From Laboratory Experiments on Buoyant Jets Rising in a Stratified Crossflow T. Aubry et al. 10.1002/2017GL075069
38. Particle-filter-based volcanic ash emission inversion applied to a hypothetical sub-Plinian Eyjafjallajökull eruption using the Ensemble for Stochastic Integration of Atmospheric Simulations (ESIAS-chem) version 1.0 P. Franke et al. 10.5194/gmd-15-1037-2022
39. Effects of Variable Eruption Source Parameters on Volcanic Plume Transport: Example of the 23 November 2013 Paroxysm of Etna U. Rizza et al. 10.3390/rs13204037
40. 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
41. Optimization of atmospheric transport models on HPC platforms R. de la Cruz et al. 10.1016/j.cageo.2016.08.019
42. An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions M. Plu et al. 10.5194/nhess-21-2973-2021
43. Online treatment of eruption dynamics improves the volcanic ash and SO<sub>2</sub> dispersion forecast: case of the 2019 Raikoke eruption J. Bruckert et al. 10.5194/acp-22-3535-2022
44. The Effect of Wind and Atmospheric Stability on the Morphology of Volcanic Plumes From Vulcanian Eruptions A. Poulidis et al. 10.1029/2018JB016958
45. A New One‐Equation Model of Fluid Drag for Irregularly Shaped Particles Valid Over a Wide Range of Reynolds Number F. Dioguardi et al. 10.1002/2017JB014926
46. Modeling volcanic ash aggregation processes and related impacts on the April–May 2010 eruptions of Eyjafjallajökull volcano with WRF-Chem S. Egan et al. 10.5194/nhess-20-2721-2020
47. RePLaT-Chaos: A Simple Educational Application to Discover the Chaotic Nature of Atmospheric Advection T. Haszpra 10.3390/atmos11010029
48. Modelling the volcanic ash plume from Eyjafjallajökull eruption (May 2010) over Europe: evaluation of the benefit of source term improvements and of the assimilation of aerosol measurements M. Plu et al. 10.5194/nhess-21-3731-2021
49. Quantifying the Effect of Wind on Volcanic Plumes: Implications for Plume Modeling T. Dürig et al. 10.1029/2022JD037781
50. Optimizing mass eruption rate estimates by combining simple plume models T. Dürig et al. 10.3389/feart.2023.1250686
51. 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
52. A review of volcanic electrification of the atmosphere and volcanic lightning C. Cimarelli & K. Genareau 10.1016/j.jvolgeores.2021.107449
53. A new strategy for the estimation of plume height from clast dispersal in various atmospheric and eruptive conditions E. Rossi et al. 10.1016/j.epsl.2018.10.007
54. 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
55. Quantifying the impact of meteorological uncertainty on emission estimates and the risk to aviation using source inversion for the Raikoke 2019 eruption N. Harvey et al. 10.5194/acp-22-8529-2022
56. Particle aging and aerosol–radiation interaction affect volcanic plume dispersion: evidence from the Raikoke 2019 eruption L. Muser et al. 10.5194/acp-20-15015-2020
57. Geometric estimation of volcanic eruption column height from GOES-R near-limb imagery – Part 1: Methodology Á. Horváth et al. 10.5194/acp-21-12189-2021
58. 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
59. How Does a Pinatubo‐Size Volcanic Cloud Reach the Middle Stratosphere? G. Stenchikov et al. 10.1029/2020JD033829
60. ASHEE-1.0: a compressible, equilibrium–Eulerian model for volcanic ash plumes M. Cerminara et al. 10.5194/gmd-9-697-2016