New Model Predicts Satellite Orbital Decay From Storms
The regression tool quantifies how atmospheric drag impacts satellites in low Earth orbit during geomagnetic events.
Updated on Oct. 27, 2026 in Space
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Researchers have developed a predictive model to quantify how geomagnetic storms accelerate orbital decay for satellites in low Earth orbit. The study, which analyzed 22 geomagnetic events between 2003 and 2024, establishes a regression-based method to calculate increased atmospheric drag during space weather.
Why it matters
As the density of objects in low Earth orbit increases, the ability to predict orbital degradation caused by geomagnetic activity is critical for maintaining satellite mission longevity. This model provides an empirical framework to mitigate risks like the 2022 loss of 38 Starlink satellites.
The regression model achieved an R-squared value of 0.91, with a root mean square error of 12.3 meters per day. It correlates satellite operation altitude and maximum Kp indices with orbital decay rate increases, ranging from 77.2% for G1 storms to 166.5% for G5 events.
The players
GRACE and GRACE-FO
Earth science satellite missions operated to map variations in the planet's gravitational field and atmospheric properties.
Starlink
A satellite constellation managed by SpaceX that provides global internet connectivity through low Earth orbit nodes.
The details
Geomagnetic storms heat the upper atmosphere, causing it to expand and increase air density at low altitudes. This process subjects satellites to intensified atmospheric drag—the resistance force that slows an object in motion. Researchers utilized orbit data from GRACE (Gravity Recovery and Climate Experiment) and GRACE-FO satellites to build a multiple linear regression model, which inputs quiet-time decay rates and altitude to predict storm-time orbital response.
Timeline
2003-2024: The period covering the 22 geomagnetic storms analyzed in the study.
February 2022: The timeframe marking the loss of 38 Starlink satellites.
May 2024: The occurrence of the Gannon geomagnetic storm included in the dataset.
The Tech Race
The study marks a shift from qualitative solar monitoring toward quantitative orbital risk assessment for commercial satellite operators. It follows a pattern set by the 2022 Starlink event, where atmospheric drag dynamics underscored the necessity for precise, predictive drag-modeling in orbit planning.
Satellite operators can integrate this regression model into flight dynamics software to adjust station-keeping maneuvers during predicted G1 to G5 geomagnetic storms. The framework serves as a tool for mission controllers to mitigate decay risks for constellations operating at low-Earth altitudes.
The takeaway
Reliable atmospheric drag prediction is essential for managing the growing congestion in low Earth orbit. Operators should look for the application of this regression methodology in future space weather mission planning and collision avoidance maneuvers.
Further reading
For broader trends in satellite infrastructure, consult the Space section.
Source note: This article includes information reported by Nature.
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