eCite Digital Repository

Modeling African equatorial ionosphere using ordinary Kriging interpolation technique for GNSS applications


Abe, OE and Rabiu, AB and Bolaji, OS and Oyeyemi, EO, Modeling African equatorial ionosphere using ordinary Kriging interpolation technique for GNSS applications, Astrophysics and Space Science, 363, (8) Article 168. ISSN 0004-640X (2018) [Refereed Article]

Copyright Statement

Springer Nature B.V. 2018

DOI: doi:10.1007/s10509-018-3387-x


The ability to model the ionosphere accurately for single frequency users in satellite applications has gained some appreciable usage, most especially during quiet conditions in a mild (middle latitudes) ionosphere. However, solving the problem of ionosphere for single frequency user of Global Navigation Satellite Systems (GNSS) in equatorial ionization anomaly (EIA) region is of a great concern for space scientists and engineers. Several methodologies have been used to develop models that describe global or regional maps for ionosphere errors in order to mitigate the effect of the errors on GNSS systems. Global or regional ionosphere Maps have been known to be an efficient tool to monitor the delay introduced by the ionosphere in the satellite signals. This research uses the conventional Planar fit and ordinary Kriging methodologies to assess a regional map for ionosphere correction in equatorial African sector. The result obtained is an indication that modified Kriging methodology describes the EIA ionosphere corrections better compared with ordinary Kriging and Planar fit methodologies.

Item Details

Item Type:Refereed Article
Keywords:regional ionosphere maps, ionosphere delay, Kriging, planar fit, GNSS applications
Research Division:Physical Sciences
Research Group:Space sciences
Research Field:Mesospheric, thermospheric, ionospheric and magnetospheric physics
Objective Division:Environmental Management
Objective Group:Air quality, atmosphere and weather
Objective Field:Atmospheric processes and dynamics
UTAS Author:Bolaji, OS (Dr Olawale Bolaji)
ID Code:140032
Year Published:2018
Web of Science® Times Cited:10
Deposited By:Physics
Deposited On:2020-07-22
Last Modified:2020-08-31

Repository Staff Only: item control page