Articles | Volume 16, issue 12
https://doi.org/10.5194/gmd-16-3459-2023
https://doi.org/10.5194/gmd-16-3459-2023
Development and technical paper
 | 
27 Jun 2023
Development and technical paper |  | 27 Jun 2023

Reconstructing tephra fall deposits via ensemble-based data assimilation techniques

Leonardo Mingari, Antonio Costa, Giovanni Macedonio, and Arnau Folch

Data sets

gmd-2022-246 (2.0) Leonardo Mingari, Antonio Costa, Giovanni Macedonio, and Arnau Folch https://doi.org/10.5281/zenodo.7259531

Model code and software

FALL3D (8.1.2) Arnau Folch, Antonio Costa, Giovanni Macedonio, and Leonardo Mingari https://doi.org/10.5281/zenodo.6343786

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Short summary
Two novel techniques for ensemble-based data assimilation, suitable for semi-positive-definite variables with highly skewed uncertainty distributions such as tephra deposit mass loading, are applied to reconstruct the tephra fallout deposit resulting from the 2015 Calbuco eruption in Chile. The deposit spatial distribution and the ashfall volume according to the analyses are in good agreement with estimations based on field measurements and isopach maps reported in previous studies.