SOFTWARE
FALL3D
Cite: Prata, A. T., Mingari, L., Folch, A., Macedonio, G., and Costa, A.: FALL3D-8.0: a computational model for atmospheric transport and deposition of particles, aerosols and radionuclides – Part 2: Model validation, Geosci. Model Dev., 14, 409–436, https://doi.org/10.5194/gmd-14-409-2021, 2021.

PyVOLCANS
The main goal of PyVOLCANS is to help alleviate data-scarcity issues in volcanology, and contribute to developments in a range of topics, including (but not limited to): quantitative volcanic hazard assessment at local to global scales; investigation of magmatic and volcanic processes; and even teaching and scientific outreach.
PyVOLCANS provides its users with full flexibility to identify customised sets of analogue volcanoes, by exploring three main variables:
1. Target volcano (or volcano of interest);
2. Weighting scheme (i.e. set of weights given to each of the five volcanological criteria to calculate multi-criteria, total analogy);
3. Number of ‘top’ analogue volcanoes (i.e. those with the highest value of analogy with the target volcano).
In addition, PyVOLCANS allows the user to compare the values of total analogy computed for ‘a priori analogues’ (i.e. volcanoes thought to be good analogues to the target volcano by other strands of evidence, e.g. expert knowledge) with those computed for the rest of volcanoes in the GVP database. This permits investigation of sets of analogue volcanoes for varied purposes, and makes PyVOLCANS a useful complementary method to expert-derived analogue volcanoes.
GitHub repository: https://github.com/BritishGeologicalSurvey/pyvolcans
PyPI project: https://pypi.org/project/pyvolcans/
Cite: Tierz, P., Christodoulou, V., Stevenson, J.A., Loughlin, S.C. (2021). PyVOLCANS: A Python package to flexibly explore similarities and differences between volcanic systems. Journal of Open Source Software, 6(68), 3649. https://doi.org/10.21105/joss.03649


