An Improved CHAOS-Based Correction Model for Storm-Time External Magnetic Fields

Summary Accurate separation of the Earth’s internal and external geomagnetic fields requires robust modeling, especially during the geomagnetic storms. Because the comprehensive CHAOS model is primarily designed to represent the Earth’s magnetic field under geomagnetically quiet periods, residuals of satellite observations relative to the CHAOS model during storms exhibit systematic dependencies on magnetic local time (MLT) and the disturbance levels, highlighting limitations in its representation of external field morphology. To address this limitation, we developed an empirical correction for the CHAOS model that specifically targets the magnetic signatures of the residual ring current at low and mid-latitudes. Using the high-quality scalar magnetic data from Swarm A/B and the Macau Science Satellite-1 (MSS-1) at nighttime hours, between November 2023 and September 2025, we modeled the systematic perturbations remaining after CHAOS background removal. Our separable parameterization explicitly resolves MLT structure while incorporating dependencies on geomagnetic disturbance levels. Event analyses demonstrate that our correction model can successfully capture the pronounced dawn-dusk MLT asymmetries of the external field during storms main and recovery phases. Statistically, the empirical model robustly captures residual ring current signals across all evaluated nighttime sectors, yielding the greatest improvements at dusk. Ultimately, the proposed correction effectively mitigates the activity-dependent biases in the CHAOS model’s external field, yielding a more reliable representation for the accurate interpretation of storm-time magnetic residuals.

Authors

Institutions

Publication Details

Journal
Geophysical Journal International
Published
2026-09-01
DOI
https://doi.org/10.1093/gji/ggag349
Primary Topic
Geomagnetism and Paleomagnetism Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

An Improved CHAOS-Based Correction Model for Storm-Time External Magnetic Fields

Pengfei Liu, Keke Zhang, Bohao Qian, Fengjue Wang et al.
Geophysical Journal International
Geomagnetism and Paleomagnetism Studies
article

An Improved CHAOS-Based Correction Model for Storm-Time External Magnetic Fields

Pengfei Liu, Keke Zhang, Bohao Qian, Fengjue Wang, Chao Xiong, Yunliang Zhou
article en

Abstract

Summary Accurate separation of the Earth’s internal and external geomagnetic fields requires robust modeling, especially during the geomagnetic storms. Because the comprehensive CHAOS model is primarily designed to represent the Earth’s magnetic field under geomagnetically quiet periods, residuals of satellite observations relative to the CHAOS model during storms exhibit systematic dependencies on magnetic local time (MLT) and the disturbance levels, highlighting limitations in its representation of external field morphology. To address this limitation, we developed an empirical correction for the CHAOS model that specifically targets the magnetic signatures of the residual ring current at low and mid-latitudes. Using the high-quality scalar magnetic data from Swarm A/B and the Macau Science Satellite-1 (MSS-1) at nighttime hours, between November 2023 and September 2025, we modeled the systematic perturbations remaining after CHAOS background removal. Our separable parameterization explicitly resolves MLT structure while incorporating dependencies on geomagnetic disturbance levels. Event analyses demonstrate that our correction model can successfully capture the pronounced dawn-dusk MLT asymmetries of the external field during storms main and recovery phases. Statistically, the empirical model robustly captures residual ring current signals across all evaluated nighttime sectors, yielding the greatest improvements at dusk. Ultimately, the proposed correction effectively mitigates the activity-dependent biases in the CHAOS model’s external field, yielding a more reliable representation for the accurate interpretation of storm-time magnetic residuals.

Geophysical Journal International
Macau University of Science and Technology (MO), Wuhan University of Technology (CN), Wuhan University of Science and Technology (CN)
Openalex Percentile: Top 17%
Geomagnetism and Paleomagnetism Studies
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.