scholarly journals Modeling Ash Dispersal From Future Eruptions of Taupo Supervolcano

2019 ◽  
Vol 20 (7) ◽  
pp. 3375-3401 ◽  
Author(s):  
S. J. Barker ◽  
A. R. Van Eaton ◽  
L. G. Mastin ◽  
C. J. N. Wilson ◽  
M. A. Thompson ◽  
...  
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2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Eduardo Rossi ◽  
Gholamhossein Bagheri ◽  
Frances Beckett ◽  
Costanza Bonadonna

AbstractA large amount of volcanic ash produced during explosive volcanic eruptions has been found to sediment as aggregates of various types that typically reduce the associated residence time in the atmosphere (i.e., premature sedimentation). Nonetheless, speculations exist in the literature that aggregation has the potential to also delay particle sedimentation (rafting effect) even though it has been considered unlikely so far. Here, we present the first theoretical description of rafting that demonstrates how delayed sedimentation may not only occur but is probably more common than previously thought. The fate of volcanic ash is here quantified for all kind of observed aggregates. As an application to the case study of the 2010 eruption of Eyjafjallajökull volcano (Iceland), we also show how rafting can theoretically increase the travel distances of particles between 138–710 μm. These findings have fundamental implications for hazard assessment of volcanic ash dispersal as well as for weather modeling.


PLoS ONE ◽  
2013 ◽  
Vol 8 (6) ◽  
pp. e65839 ◽  
Author(s):  
Kathryn E. Fitzsimmons ◽  
Ulrich Hambach ◽  
Daniel Veres ◽  
Radu Iovita

2016 ◽  
Vol 321 ◽  
pp. 44-57 ◽  
Author(s):  
F. Reckziegel ◽  
E. Bustos ◽  
L. Mingari ◽  
W. Báez ◽  
G. Villarosa ◽  
...  
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2019 ◽  
Author(s):  
Soledad Osores ◽  
Juan Ruiz ◽  
Arnau Folch ◽  
Estela Collini

Abstract. Quantitative volcanic ash cloud forecasts are prone to uncertainties coming from the source term quantification (e.g. eruption strength or vertical distribution of the emitted particles), with consequent implications on operational ash impact assessment. We present an ensemble-based data assimilation and forecast system for volcanic ash dispersal and deposition aimed at reducing uncertainties related to eruption source parameters. The FALL3D atmospheric dispersal model is coupled with the Ensemble Transform Kalman Filter (ETKF) data assimilation technique by combining ash mass loading observations with ash dispersal simulations in order to obtain a better joint estimation of 3D ash concentration and source parameters. The ETKF-FALL3D data assimilation system is evaluated performing Observation System Simulation Experiments (OSSE) in which synthetic observations of fine ash mass loadings are assimilated. The evaluation of the ETKF-FALL3D system considering reference states of steady and time-varying eruption source parameters shows that the assimilation process gives both better estimations of ash concentration and time-dependent optimized values of eruption source parameters. The joint estimation of concentrations and source parameters leads to a better analysis and forecast of the 3D ash concentrations. Results show the potential of the methodology to improve volcanic ash cloud forecasts in operational contexts.


2012 ◽  
Vol 39 (10) ◽  
pp. n/a-n/a ◽  
Author(s):  
A. Costa ◽  
A. Folch ◽  
G. Macedonio ◽  
B. Giaccio ◽  
R. Isaia ◽  
...  

2012 ◽  
Vol 64 (1) ◽  
pp. 821-838 ◽  
Author(s):  
A. N. Bear-Crozier ◽  
Nugraha Kartadinata ◽  
Anjar Heriwaseso ◽  
Ole Nielsen

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