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

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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Publication Details

Journal
Earth and Space Science
Published
2026-04-01
DOI
https://doi.org/10.1029/2025ea004622
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Zama Katamzi, Danny Scipión, Michael Pezzopane, Valence Habyarimana et al.
Earth and Space Science
Ionosphere and magnetosphere dynamics
article

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

Zama Katamzi, Danny Scipión, Michael Pezzopane, Valence Habyarimana, Daniel Okoh, E. Yizengaw, John Bosco Habarulema, Paulo Roberto Fagundes, Mark B. Moldwin, Claudio Cesaroni
article en

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.

Earth and Space ScienceVol. 13(4)
South African National Space Agency (ZA), Technical University of Kenya (KE), Mbarara University of Science and Technology (UG), The Aerospace Corporation (US), Rhodes University (ZA), North-West University (ZA), University of Michigan (US), Istituto Nazionale di Geofisica e Vulcanologia (IT), National Space Research and Development Agency (NG), Universidade do Vale do Paraíba (BR), Instituto Geofísico del Perú (PE), University of KwaZulu-Natal (ZA)
Air Force Office of Scientific Research
Climate action
Openalex Percentile: Top 30%
Ionosphere and magnetosphere dynamics
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