Comment on "Estimates on the Frequency of Volcanic Eruptions on Venus" by Byrne & Krishnamoorthy (2022)

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Supplementary Files

Iris van Zelst 


Byrne & Krishnamoorthy (2022) estimated the frequency of volcanic eruptions on Venus by scaling the eruption frequency obtained from a database containing Earth data. In reproducing their study, I found that the estimated number of new and ongoing volcanic eruptions on Venus in a given year is approximately 42, instead of the previously reported 120 eruptions. This updated estimate of Byrne & Krishnamoorthy (2022) based on the assumption that data from Earth can be scaled to Venus is an important step towards quantifying volcanism on Venus. However, it is important to note that in this estimate, the amount of volcanism associated with rifting is underestimated and subduction-related volcanism is overestimated.

The annual volcanic flux on Venus resultant from the estimated amount of volcanic eruptions aligns with previous estimates of Venus' volcanic flux based on, e.g., chemical reaction times and geological mapping.

Applying the same method of estimating volcanic eruption frequency to the other terrestrial planets in the Solar System indicates that the Earth scaling method is perhaps not universally applicable, especially concerning bodies with vastly different tectonic regimes.



Other Planetary Sciences, Physical Sciences and Mathematics, Planetary Geology, Planetary Geophysics and Seismology, Planetary Sciences


Venus, volcanism, planetary volcanism


Published: 2022-11-30 23:42

Last Updated: 2022-12-01 07:42


CC BY Attribution 4.0 International

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Data Availability (Reason not available):
The Jupyter Notebook used to reproduce the findings of Byrne & Krishnamoorthy (2022) and produce the figures in this comment can be found on Zenodo: The VOTW~4.9.0 database and a list classifying the volcanoes in that database from 1955 -- 2021 according to tectonic setting can also be found there. All generated results can be found in the supplementary material. Figures were made with Python and Adobe Illustrator.