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Authors: | Folch, Arnau* Mingari, Leonardo* Gutierrez, Natalia* Hanzich, Mauricio* Macedonio, Giovanni* Costa, Antonio* |
Title: | FALL3D-8.0: a computational model for atmospheric transport and deposition of particles, aerosols and radionuclides. Part I: model physics and numerics | Journal: | Geoscientific Model Development | Series/Report no.: | 3/13 (2020) | Publisher: | EGU - Copernicus | Issue Date: | 2020 | DOI: | 10.5194/gmd-13-1431-2020 | Keywords: | Atmospheric transport Radionuclides |
Subject Classification: | 04.08. Volcanology | Abstract: | This manuscript presents FALL3D-8.0, the last version release of an open-source code with 15+ years of track record and a growing number of users in the vol- canological and atmospheric communities. The code has been redesigned and rewritten from scratch in the framework of the EU Center of Excellence for Exascale in Solid Earth (ChEESE) in order to overcome legacy issues and allow for successive optimisations that are already planned in the preparation of the code towards extreme-scale computing. However, this baseline version already contains substantial improvements in terms of model physics, solving algorithms, and code accuracy and performance. The code, originally conceived for atmospheric dispersal and deposition of tephra particles, has been extended to model other types of particles, aerosols and radionuclides. The solving strategy has also been changed, replacing the former central-differences scheme for a high-resolution central-upwind scheme derived from finite volumes, which minimises numerical diffusion even in presence of sharp concentration gradients and discontinuities. The parallelisation strategy, Input/Output (I/O), model pre-process workflows and memory management have also been reconsidered, leading to substantial improvements on code scalability, efficiency, and overall capability to han- dle much larger problems. This paper details the FALL3D-8.0 model physics and the numerical implementation of the code. |
Appears in Collections: | Article published / in press |
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File | Description | Size | Format | |
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folmin2019.pdf | Folch et al., 2019 | 1.1 MB | Adobe PDF | View/Open |
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