Estimating the mass eruption rate of volcanic eruptions from the plume height using Bayesian regression with historical data: The MERPH model-Reference-Cited by-同舟云学术

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Estimating the mass eruption rate of volcanic eruptions from the plume height using Bayesian regression with historical data: The MERPH model

Published:2024-10 Issue: Volume:454 Page:108175
ISSN:0377-0273
Container-title:Journal of Volcanology and Geothermal Research
language:en
Short-container-title:Journal of Volcanology and Geothermal Research

Author:

Woodhouse Mark J.

Funder

Engineering and Physical Sciences Research Council

University of Bristol

UKRI Natural Environment Research Council

Publisher

Elsevier BV

Reference42 articles.

1. PyMC: a modern, and comprehensive probabilistic programming framework in Python;Abril-Pla;PeerJ Comp. Sci.,2023

2. Student's t distribution;Ahsanullah,2014

3. The Independent Volcanic Eruption Source Parameter Archive (IVESPA, version 1.0): a new observational dataset to support explosive eruptive column model validation and development;Aubry;J. Volcanol. Geoth. Res.,2021

4. New insights into the relationship between mass eruption rate and volcanic column height based on the IVESPA data set;Aubry;Geophys. Res. Lett.,2023

5. Probabilistic Volcanic Ash Hazard Analysis (PVAHA) I: Development of the VAPAH tool for emulating multi-scale volcanic ash fall analysis;Bear-Crozier;J. Appl. Volcanol.,2016

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