A statistical analysis of Io's hot spots

As the most volcanically-active body in the Solar System, Io represents an extreme case of tidal heating and silicate volcanism. To better constrain the mechanics of Io's volcanism, we have performed a variety of statistical tests on a recently-published catalog of Io's hot spots, as imaged by recent Juno flybys. A spherical harmonic decomposition of Io's hot spots finds a negative Y 44 component ( p = 0.00064) to Io's volcanic spatial heat flow distribution and no other signals of spatial heterogeneity, which is not predicted by any of the three end-member models for melt generation in Io's interior. We infer that the lateral transport of melt in Io's interior could obscure signals of spatial heterogeneity; if so, then the negative Y 44 component may reflect near-surface processes rather than melt generation depth. Second, taking Io's hot spots as instances of a spatial point process, we calculated Ripley's K function and Moran's I to find that Io's hot spots do not cluster, but have positive autocorrelation ( z = +8.57). Third, we used kernel density estimation to calculate the magnitude-frequency distribution of Io's hot spots. Io's largest 20 hot spots abide by a power law n(q) ∝ q -α , where α = 2.26. In aggregate, these findings prioritize the need for new theoretical models exploring how melt is transported to the surface, not just where it's generated. • Io's surface volcanic expression is not correlated to depth of tidal dissipation. • Io's hot spots do not cluster, but their heat flows have positive spatial auto-correlation. • Io's largest hot spots follow a different magnitude-frequency distribution than the rest.

Authors

Institutions

Publication Details

Journal
Icarus
Published
2026-03-31
DOI
https://doi.org/10.1016/j.icarus.2026.116997
Primary Topic
Astro and Planetary Science
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A statistical analysis of Io's hot spots

D. P. Stevenson, Michael A.M. Sowell
Icarus
Astro and Planetary Science
article

A statistical analysis of Io's hot spots

D. P. Stevenson, Michael A.M. Sowell
article en

Abstract

As the most volcanically-active body in the Solar System, Io represents an extreme case of tidal heating and silicate volcanism. To better constrain the mechanics of Io's volcanism, we have performed a variety of statistical tests on a recently-published catalog of Io's hot spots, as imaged by recent Juno flybys. A spherical harmonic decomposition of Io's hot spots finds a negative Y 44 component ( p = 0.00064) to Io's volcanic spatial heat flow distribution and no other signals of spatial heterogeneity, which is not predicted by any of the three end-member models for melt generation in Io's interior. We infer that the lateral transport of melt in Io's interior could obscure signals of spatial heterogeneity; if so, then the negative Y 44 component may reflect near-surface processes rather than melt generation depth. Second, taking Io's hot spots as instances of a spatial point process, we calculated Ripley's K function and Moran's I to find that Io's hot spots do not cluster, but have positive autocorrelation ( z = +8.57). Third, we used kernel density estimation to calculate the magnitude-frequency distribution of Io's hot spots. Io's largest 20 hot spots abide by a power law n(q) ∝ q -α , where α = 2.26. In aggregate, these findings prioritize the need for new theoretical models exploring how melt is transported to the surface, not just where it's generated. • Io's surface volcanic expression is not correlated to depth of tidal dissipation. • Io's hot spots do not cluster, but their heat flows have positive spatial auto-correlation. • Io's largest hot spots follow a different magnitude-frequency distribution than the rest.

IcarusVol. 453
California Institute of Technology (US), Planetary Science Institute (US)
Southwest Research Institute
Openalex Percentile: Top 15%
Astro and Planetary Science
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.