A decade of the fast-varying ionospheric and magnetospheric magnetic fields from ground and multi-satellite observations

TL;DR

This paper introduces a novel method combining ground and satellite data to model and analyze the time-varying ionospheric, magnetospheric, and induced magnetic fields over a decade, enhancing understanding of space weather dynamics.

Contribution

The paper presents a new approach for simultaneous characterization of external and internal magnetic fields without assuming harmonic behavior, applied to a 10-year dataset.

Findings

Identified non-periodic dynamics during geomagnetic storms

Linked magnetospheric periodicities to solar activity

Improved characterization of internal induced fields

Abstract

The time-varying geomagnetic field is a superposition of contributions from multiple internal and external current systems. A major source of geomagnetic variations at periods less than a few years are current systems external to the solid Earth, namely the ionospheric and magnetospheric currents, as well as associated induced currents. The separation of these three sources is mathematically underdetermined using either ground or satellite measurements alone, but becomes tractable when the two datasets are combined. Based on this concept, we developed a new geomagnetic field modelling approach that allows us to simultaneously characterise the mid-latitude ionospheric, magnetospheric and the internal induced magnetic fields using ground and satellite observations for all local times and magnetic conditions, and without prescribing any harmonic behaviour on these current systems in time, as is typical in other models. By applying this new method to a 10-year dataset of ground observatory and multi-satellite measurements from 2014 to 2023, we obtained the time series of the spherical harmonic coefficients of the ionospheric, magnetospheric and induced fields. These new time series allow the study of complex non-periodic dynamics of the external magnetic fields during global geomagnetic storms, as well as periodicities in the magnetospheric coefficients linked to solar activities and periodic ionospheric magnetic fields linked to lunar daily variations, contributing to a more complete picture of the dynamics of the external currents and magnetosphere-ionosphere interactions, and facilitating more accurate space weather nowcast and forecast. Finally, the new approach allows for a better characterisation of internal induced field sources, leading to higher quality electromagnetic transfer functions.