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April 3, 2026Earth and Space Science3 citationsOpen Access

A New Global Climatological Model of the Equatorial Ionospheric Vertical E × B Drift: Integrating Ground‐Based Magnetometer, Radar, and Satellite Data Sets

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JHJohn Bosco HabarulemaDODaniel OkohEYE. Yizengaw

Key Points

  • The aim is to develop an empirical model for vertical ionospheric drift using multiple data sources over equatorial regions.
  • Utilized ground-based magnetometer, radar, and satellite data.
  • Established an algorithm connecting equatorial electrojet and vertical ion plasma drift.
  • Developed relationships at different longitudes during coincidental data availability.
  • Combined reconstructed vertical drift data with C/NOFS and JULIA datasets.
  • The new model enhances global vertical drift modeling by over 20%.
  • Validation with IVM drifts from ICON satellite for early 2022 confirmed model accuracy.
  • Improved predictions benefit understanding of ionospheric dynamics.

Abstract

Abstract We present a new empirical vertical drift model developed using ground‐based magnetometer, radar, and satellite data over equatorial latitude regions. We first implement an algorithm relating magnetometer derived equatorial electrojet (EEJ) and vertical ion plasma drift (equivalent to vertical drift within magnetic latitudes of and altitudes of about 400–550 km) from the Communications and Navigation Outage Forecasting System (C/NOFS) satellite at different longitude sectors. The relationship between EEJ and C/NOFS vertical drift is developed separately at different longitudes over the globe at coincidental times when both data sets are available. These relationships are then used to estimate continuous vertical drift at each epoch of EEJ observation over the respective longitude sectors during local daytime. The reconstructed vertical drift data are combined with global C/NOFS vertical drifts and JULIA data set to develop a global vertical drift model. Validation using Ion Velocity Meter (IVM) drifts from ICON satellite for January to August 2022 shows that our model improves vertical drift global modeling by over 20% compared to the current climatology representation.

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Cite This Study

Habarulema et al. (2026) studied this question.

synapsesocial.com/papers/69cf5d055a333a821460aacfhttps://doi.org/10.1029/2025ea004622
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Numerical Study on the Impact of E × B Drift on the Vertical Distribution of the Plasma Density Over the Geomagnetic Equatorial Ionospheric Region2024 · 2 citations
  2. 2Ionospheric Vertical Plasma Drifts Over South America: Long‐Term Multi‐Instrument Observations and TIEGCM and WACCM‐X Evaluations2026
  3. 3Apparent vertical ionospheric drift: a comparative assessment of digisonde and ionogram-based methods2025
  4. 4Apparent vertical ionospheric drift: a comparative assessment of digisonde and ionogram-based methods2025
  5. 5Data Assimilation of Ion Drift Measurements for Estimation of Ionospheric Plasma Drivers2024