MIST

Magnetosphere, Ionosphere and Solar-Terrestrial

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MIST is the community of Magnetosphere, Ionosphere and Solar-Terrestrial researchers working in the United Kingdom. We represent the interests of MIST scientists and hold meetings to showcase MIST science twice a year.

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Quantifying the number of false positive substorms identified in the SuperMAG SML index arising from enhancements in magnetospheric convection

By Christian Lao (MSSL, University College London)

Substorms can be identified from negative bays in the SML index, which traces the minimum northward ground magnetic deflection at auroral latitudes, produced by enhancements of the westward electrojet. For substorms, negative bays are caused by the closure of the Substorm Current Wedge through the ionosphere, typically localized to the nightside and centred around 23-00 magnetic local time (MLT). In this case, the equivalent current pattern that causes the magnetic deflections is given the name Disturbance Polar (DP) 1. However, negative bays may also form when the westward electrojet is enhanced by increased convection, driving Pedersen and Hall currents in the auroral zone. Convection enhancements also strengthen the eastward electrojet, monitored by SMU index. In this case, the equivalent current pattern that produces the magnetic deflections is called DP2.

In this study, we investigated the contributions of the magnetic perturbations from the DP1 and DP2 current patterns to substorm-like magnetic bays identified in SML using the SOPHIE technique of Forsyth et al. (2015), https://doi.org/10.1002/2015ja021343. SOPHIE attempts to distinguish between the DP1 and DP2 enhancements, whereas other SML-based substorm identification methods don’t (e.g. Newell & Gjerloev, 2011; Ohtani+, 2020; etc). However, despite this, we find evidence that between 1997 and 2019 up to 59% of the 30,329 events originally identified by SOPHIE as substorms come from enhancements of DP2, which are unrelated to substorm phenomena, on top of the 2,627 convection enhancement events already identified. We highlight that any “substorm” list is, in fact, a list of magnetic enhancements, auroral enhancements, etc., which may or may not correspond to substorm activity and should be treated that way.

 

See publication for details:
Lao, C. J., Forsyth, C., Freeman, M. P., & Gjerloev, J. W. (2025). Separating DP1 and DP2 current pattern contributions to substorm-like intensifications in SML. Journal of Geophysical Research: Space Physics, 130, e2024JA033592. https://doi.org/10.1029/2024JA033592

 

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Estimating Electron Temperature and Density Using Van Allen Probe Data: Typical Behavior of Energetic Electrons in the Inner Magnetosphere

By Dovile Rasinskaite (Northumbria University)

The Earth’s inner magnetosphere contains multiple electron populations influenced by different factors. The cold electrons of the plasmasphere, warm plasma that contributes to the ring current, and the relativistic plasma of the radiation belts often seem to behave independently. Using omni-directional flux and energy measurements from the HOPE and MagEIS instruments aboard the Van Allen Probes, we provide a detailed density and temperature description of the inner magnetosphere, offering a comprehensive statistical analysis of the entire Van Allen Probe era. While number density and temperature data at geosynchronous orbit are available, this study focuses on the warm plasma in the inner magnetosphere (2<L*<6). Values of density and temperature are extracted by fitting energy and phase space density to obtain the distribution function. The fitted distributions are related to the zeroth and second moments to estimate the number density and temperature. Analysis has indicated that a two Maxwellian fit is sufficient over a wide range of L* and that there are two independent plasma populations. The more energetic population has a median number density of approximately 1.2 * 104 m-3 and a temperature of around 130 keV, with a temperature peak observed between L* = 4 and L* = 4.5. This population is relatively uniform in MLT. In contrast, the less energetic warm electron population has a median number density of about 2.5*104 m-3 and a temperature of 7.4 keV. Strong statistical trends in density and temperature across both L* and MLT are presented, along with potential sources driving these variations.

See publication for details:
Rasinskaite, D., Watt, C. E. J., Forsyth, C., Smith, A. W., Lao, C. J., Chakraborty, S., et al. (2025). Estimating electron temperature and density using Van Allen probe data: Typical behavior of energetic electrons in the inner magnetosphere. Journal of Geophysical Research: Space Physics, 130, e2024JA033443. https://doi.org/10.1029/2024JA033443

 

Related articles: Nuggets

Dynamics of TEC High Density Regions Seen in JPL GIMs: Variations With Latitude, Season and Geomagnetic Activity

By Martin Cafolla (University of Warwick)

The ionosphere is a portion of the upper atmosphere of the Earth consisting of free electrons and ions as a result of exposure to solar radiation. The variability of intensity of this radiation, as well as the differing levels of geomagnetic activity, results in fluctuations in electron number density across the ionosphere, characterised by the Total Electron Content (TEC). We define High Density Regions (HDRs) of TEC, that is regions of enhanced line-integrated electron number density, as the top 1% of TEC measurements from Global Ionospheric Maps (GIMs). We then construct an algorithm that isolates, detects and tracks these regions for 20 years of TEC data in sun-centered geomagnetic coordinates. This produces a contiguous set of uniquely labelled space-time TEC HDRs. We conduct a statistical study to determine reproducible trends in HDR formation location, trajectories and durations for different levels of geomagnetic activity at continental and sub-continental (small) scales.

We find that HDR formation is primarily driven by the sub-solar point, spanning the afternoon ionosphere, and in general occurs around four magnetic latitude clusters. Small HDRs typically move along lines of constant magnetic latitude in the direction of Earth rotation, while continental scale HDRs have much more complex paths. The statistical nature of our results provides a probabilistic prediction on future HDR behaviour, offering an ensemble constraint on enhancements seen in ionospheric models.

Example TEC map for 2009-07-23 at 16:30:00 UTC. Panel (a) plots the geographic TEC map. Each 1 degree by 1 degree grid point plots the Vertical TEC at that longitude/latitude. Black triangles show the locations of ground stations. Panel (b) plots the geomagnetic TEC map with grey contours at the top 1% value of TEC in the map, defining the High Density Regions (HDRs). Panel (c) isolates these HDRs and plots them in black, with green contours drawn around each black region to demonstrate the algorithm’s contour detection. Panel (d) plots the isolated HDRs in SM coordinates with bounding rectangles in blue and centroids marked in black, obtained by the detection/tracking algorithm.

See publication for details:
Cafolla, M. A., Chapman, S. C., Watkins, N. W., Meng, X., & Verkhoglyadova, O. P. (2025). Dynamics of TEC high density regions seen in JPL GIMs: Variations with latitude, season and geomagnetic activity. Space Weather, 23, e2024SW004307. DOI: 10.1029/2024SW004307

Related articles: Nuggets