Evidence map›Paper›PMID 41266627›Full record

ArticleScientific reports2025

Discovery of a wind-driven diamagnetic current system in the Martian magnetosphere.

Yuki Harada, Robert J Lillis, Matthew O Fillingim, Shun Imajo, Takuto Minami, Yingjuan Ma, Jacob R Gruesbeck, Gina A DiBraccio, Jared R Espley

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yuki HaradaDepartment of Geophysics, Graduate School of Science, Kyoto University, Kyoto, Japan. haraday@kugi.kyoto-u.ac.jp.
Robert J LillisSpace Sciences Laboratory, University of California Berkeley, Berkeley, CA, USA.
Matthew O FillingimSpace Sciences Laboratory, University of California Berkeley, Berkeley, CA, USA.
Shun ImajoData Analysis Center for Geomagnetism and Space Magnetism, Graduate School of Science, Kyoto University, Kyoto, Japan.
Takuto MinamiDepartment of Planetology, Graduate School of Science, Kobe University, Kobe, Japan.
Yingjuan MaDepartment of Earth Planetary and Space Sciences, UCLA, Los Angeles, CA, USA.
Jacob R GruesbeckNASA Goddard Space Flight Center, Greenbelt, MD, USA.
Gina A DiBraccioNASA Goddard Space Flight Center, Greenbelt, MD, USA.
Jared R EspleyNASA Goddard Space Flight Center, Greenbelt, MD, USA.

Funding

Japan Society for the Promotion of Science JP25K00024, 25H00684, 25K01053, JP22H01285NASA NNH10CC04C
6 · The paper itself

Abstract

Magnetic fields around Mars shape the pathways of energy input into, and ion escape from, the Martian atmosphere, thereby potentially affecting the atmospheric evolution of Mars. The Martian magnetic field environment is primarily determined by the global electric current system resulting from the solar wind interaction with the upper atmosphere and crustal magnetic fields of Mars. Recently, it has been recognized that neutral wind-driven ionospheric dynamo currents generate magnetic field perturbations observable in orbits and on the surface of Mars. However, the entire system of near-Mars currents is not fully understood. Here we present a newly identified current system in the Martian magnetosphere directly coupled to the wind-driven ionospheric currents, based on the spherical harmonic analysis of magnetic field data obtained by the Mars Atmosphere and Volatile Evolution spacecraft. This magnetospheric current system can be explained by diamagnetic currents associated with magnetic fields generated by the wind-driven ionospheric dynamo currents. Our results demonstrate a close coupling between the neutral atmospheric dynamics and the high-altitude magnetospheric current system at Mars mediated by wind-driven ionospheric dynamo currents. This reveals a previously unrecognized role of the neutral atmosphere in controlling magnetic field environments of unmagnetized planets.

Identifiers

PMID41266627
PMCPMC12635062

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.