Articles | Volume 13, issue 3
https://doi.org/10.5194/gmd-13-1431-2020
https://doi.org/10.5194/gmd-13-1431-2020
Model description paper
 | 
24 Mar 2020
Model description paper |  | 24 Mar 2020

FALL3D-8.0: a computational model for atmospheric transport and deposition of particles, aerosols and radionuclides – Part 1: Model physics and numerics

Arnau Folch, Leonardo Mingari, Natalia Gutierrez, Mauricio Hanzich, Giovanni Macedonio, and Antonio Costa

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Cited articles

Aschenbrenner, B. C.: A new method of expressing particle sphericity, J. Sediment. Petrol., 26, 15–31, 1956. a
Bear-Crozier, A., Kartadinata, N., Heriwaseso, A., and Møller Nielsen, O.: Development of python-FALL3D: a modified procedure for modelling volcanic ash dispersal in the Asia-Pacific region, Nat. Hazards, 64, 821–838, 2012. a
Bengtsson, L., Andrae, U., Aspelien, T., Batrak, Y., Calvo, J., de Rooy, W., Gleeson, E., Hansen-Sass, B., Homleid, M., Hortal, M., Ivarsson, K.-I., Lenderink, G., Niemela, S., Nielsen, K., Onvlee, J., Rontu, L., Samuelsson, P., Munoz, D., Subias, A., Tijm, S., Toll, V., Yang, X., and Koltzow, M.: The HARMONIE-AROME Model Configuration in the ALADIN-HIRLAM NWP System, Mon. Weather Rev., 145, 1919–1935, https://doi.org/10.1175/MWR-D-16-0417.1, 2017. a
Biass, S., Scaini, C., Bonadonna, C., Folch, A., Smith, K., and Höskuldsson, A.: A multi-scale risk assessment for tephra fallout and airborne concentration from multiple Icelandic volcanoes – Part 1: Hazard assessment, Nat. Hazards Earth Syst. Sci., 14, 2265–2287, https://doi.org/10.5194/nhess-14-2265-2014, 2014. a
Bonasia, R., Scaini, C., Capra, L., Nathenson, M., Siebe, C., Arana-Salinas, L., and Folch, A.: Long-range hazard assessment of volcanic ash dispersal for a Plinian eruptive scenario at Popocatépetl volcano (Mexico): implications for civil aviation safety, Bull. Volcanol., 76, 789, https://doi.org/10.1007/s00445-013-0789-z, 2013. a
Short summary
This paper presents FALL3D-8.0, the latest version release of an open-source code with a track record of 15+ years and a growing number of users in the volcanological and atmospheric communities. The code, originally conceived for atmospheric dispersal and deposition of tephra particles, has been extended to model other types of particles, aerosols and radionuclides. This paper details the FALL3D-8.0 model physics and the numerical implementation of the code.
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