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

dc.contributor.authorHabarulema, John Bosco
dc.contributor.authorOkoh, Daniel
dc.contributor.authorYizengaw, Endawoke
dc.contributor.authorHabyarimana, Valence
dc.contributor.authorPezzopane, Michael
dc.contributor.authorFagundes, Paulo Roberto
dc.contributor.authorKatamzi-Joseph, Zama
dc.contributor.authorMoldwin, Mark B.
dc.contributor.authorCesaroni, Claudio
dc.contributor.authorScipión, Danny
dc.date.accessioned2026-04-06T17:34:07Z
dc.date.available2026-04-06T17:34:07Z
dc.date.issued2026-04-01
dc.description.abstractWe present a new empirical vertical E×B 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 E×B drift within magnetic latitudes of ±5° 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 E×B 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 E×B drift at each epoch of EEJ observation over the respective longitude sectors during local daytime. The reconstructed vertical E×B drift data are combined with global C/NOFS vertical E×B drifts and JULIA data set to develop a global vertical E×B drift model. Validation using Ion Velocity Meter (IVM) drifts from ICON satellite for January to August 2022 shows that our model improves vertical E×B drift global modeling by over 20% compared to the current climatology representation.
dc.description.peer-reviewPor pares
dc.description.sponsorshipThis research was supported by theThe National Research Foundation of South Africa [Grant N° 112090 y N° 129285]
dc.formatapplication/pdf
dc.identifier.citationHabarulema, J.B., Okoh,D., Yzengaw, E., Habyarimana,V.,Pezzopane,M., Fagundes, P.R., et al.(2026). Anew global climatological model of the equatorial ionospheric vertical E×B drift: Integrating ground‐based magnetometer, radar,and satellite datasets.==$Earthand Space Science, 13$==, e2025EA004622. https://doi.org/10.1029/2025EA004622
dc.identifier.doihttps://doi.org/10.1029/2025EA004622
dc.identifier.journalEarthand Space Science
dc.identifier.urihttps://hdl.handle.net/20.500.12816/5822
dc.language.isoeng
dc.publisherAdvancing Earth and Space Science
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectEquatorial ionosphere
dc.subjectVertical E×B drift
dc.subjectEquatorial electrojet (EEJ)
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.03.05
dc.titleA New Global Climatological Model of the Equatorial Ionospheric Vertical E × B Drift: Integrating Ground‐Based Magnetometer, Radar, and Satellite Data Sets
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.type.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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