Unearthing the Moon’s deep secrets: multi-site geomagnetic depth sounding evidence for mantle heterogeneity and partial melt

Abstract The structure and thermal state of the Moon’s deep interior remain incompletely understood. Here, we apply geomagnetic depth sounding (GDS) to Apollo 12, 15, and 16 surface magnetometer data—yielding the first comparative, multi-site resistivity models of the lunar mantle. Using transfer function analysis during magnetotail quiet periods, we invert apparent resistivity profiles via one-dimensional Occam methods. All three sites reveal a resistive upper mantle (> 10 3 Ω·m) extending to ~ 300 km. However, Apollo 15 and 16 exhibit sharp resistivity reductions between 300 and 500 km, likely associated with thermochemical heterogeneity caused by ilmenite-bearing cumulate (IBC) descent. More strikingly, a deep conductive zone spanning 900–1100 km depth is consistently detected, coinciding with the location of deep moonquakes (DMQs). This zone’s enhanced conductivity, unexplained by seismic velocity models, supports the presence of low-degree partial melt insufficient to eliminate brittle failure. These findings redefine our understanding of the Moon’s thermal evolution and provide a new explanation for DMQ generation, demonstrating that surface-based GDS techniques offer critical insight into planetary interiors. Graphical abstract

Authors

Institutions

Publication Details

Journal
Earth Planets and Space
Published
2026-03-14
DOI
https://doi.org/10.1186/s40623-026-02412-z
Primary Topic
Planetary Science and Exploration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unearthing the Moon’s deep secrets: multi-site geomagnetic depth sounding evidence for mantle heterogeneity and partial melt

Kiyoshi Baba, P. Chi, Ding-Jiun Lin, Chi‐Kuang Chao et al.
Earth Planets and Space
Planetary Science and Exploration
article

Unearthing the Moon’s deep secrets: multi-site geomagnetic depth sounding evidence for mantle heterogeneity and partial melt

Kiyoshi Baba, P. Chi, Ding-Jiun Lin, Chi‐Kuang Chao, Y. Lu, Hisayoshi Shimizu, P. J. Chang, Ya-Hui Yang
article en

Abstract

Abstract The structure and thermal state of the Moon’s deep interior remain incompletely understood. Here, we apply geomagnetic depth sounding (GDS) to Apollo 12, 15, and 16 surface magnetometer data—yielding the first comparative, multi-site resistivity models of the lunar mantle. Using transfer function analysis during magnetotail quiet periods, we invert apparent resistivity profiles via one-dimensional Occam methods. All three sites reveal a resistive upper mantle (> 10 3 Ω·m) extending to ~ 300 km. However, Apollo 15 and 16 exhibit sharp resistivity reductions between 300 and 500 km, likely associated with thermochemical heterogeneity caused by ilmenite-bearing cumulate (IBC) descent. More strikingly, a deep conductive zone spanning 900–1100 km depth is consistently detected, coinciding with the location of deep moonquakes (DMQs). This zone’s enhanced conductivity, unexplained by seismic velocity models, supports the presence of low-degree partial melt insufficient to eliminate brittle failure. These findings redefine our understanding of the Moon’s thermal evolution and provide a new explanation for DMQ generation, demonstrating that surface-based GDS techniques offer critical insight into planetary interiors. Graphical abstract

Earth Planets and Space
Planetary Science Institute (US), University of California, Los Angeles (US), National Central University (TW), The University of Tokyo (JP)
Openalex Percentile: Top 21%
Planetary Science and Exploration
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.