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ZENODO
Software . 2022
Data sources: Datacite
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ZENODO
Software . 2022
Data sources: ZENODO
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bmartmon/PVHA_WF: v0.1.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 21 Mar 2022Publisher:ZenodoFunded by:EC | ChEESE, EC | POP2, EC | PRACE
Authors: Beatriz Martinez Montesinos; Laura Sandri; Manuel Titos; Oleksandr Rudyy; Alexey Cheptsov; Sara Barsotti; Arnau Folch; +3 Authors
Code repository: https://github.com/bmartmon/PVHA_WF/tree/v0.1.0

doi: 10.5281/zenodo.6374041

bmartmon/PVHA_WF: v0.1.0

Abstract

PVHA_WF is a workflow created to develop the probabilistic volcanic hazard assessment for tephra fallout at ground and ash concentration at flight levels for a specific volcano, both short-term and long-term. This software is an update of the Bet-Tephra Python software package, is based on the Bayesian Event Tree methodology, uses the WMS-light and interacts with the ash dispersion model FALL3D. This repository contains the link to the PVHA_WF (Probabilistic Volcanic Hazard Assessment Workflow) GitHub software repository, where some results of its application in Campi Flegrei (Italy) and Jan Mayen (Norway) can also be found.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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