Performance of IRI‐2012 model during a deep solar minimum and a maximum year over global equatorial regions

Kumar, Sanjay

doi:10.1002/2015ja022269

Cited by 27 publications

(17 citation statements)

References 42 publications

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“…His results showed that the diurnal VTEC prediction performance of the model is generally better during the solar minimum phase 2009 than during solar maximum phase 2012 which is in agreement to this study (Tariku et al 2014). Kumar (2016) studied IRI-2012 model with respect to ground based GPS measurements during ascending phase of solar activity in 2009 to 2013 from low to mid-latitudes and they found that low-latitude regions higher than mid-latitude discrepancies during all the seasons (Kumar et al 2015).…”

Section: Introductionsupporting

confidence: 85%

“…The IRI-2016 model shows slightly small discrepancies in high solar activity phase (2012-2016) by overestimating or underestimating and correlating, which is expected because the IRI model is a model for the ionosphere and does not include the TEC contribution from the plasma sphere. The short coming of this analysis is that the plasmasphere TEC is not taken into account which can be computed using plasmaspheric model (Kumar 2016).…”

Section: Discussionmentioning

confidence: 99%

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Testing and validating IRI-2016 model over Ethiopian ionosphere

Endeshaw¹

2020

Astrophys Space Sci

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This paper focuses on the validation of the latest version of the International Reference Ionosphere (IRI-2016) model in predicting the vertical total electron content (VTEC) variation over Ethiopian ionospheric region during a high solar activity (2012-2016) phase. The diurnal, monthly and seasonal VTEC variations were analyzed from dual-frequency global positioning system (GPS) and IRI-2016 model at the Debark station. The diurnal, monthly and seasonal maximum TEC values measured between around 9:00 and 18:00 UT (12:00 and 21:00 LT) hours and the minimum TEC values measured before 9:00 (12:00 LT) and after 18:00 UT (21:00 LT). The overall results show that IRI-2016 model generally overestimates the diurnal, monthly and seasonal mean VTEC values during the high solar activity (2012-2016) phase. The model prediction generally follows that the monthly and seasonal variations of the measured VTEC values in equinoctial months are higher than solstice months. The monthly mean and seasonal mean values of IRI-TEC and GPS-TEC mostly correlates before early morning and after evening hours and also slightly IRI-TEC underestimates starting from morning hours up to evening hours. The magnetic storm effects on GPS-TEC are associated with fluctuations. However, the IRI-TEC values show smooth pattern during both in storm on and off options. Consequently, the IRI-2016 model does not correctly respond to the effects of the resulting storm disturbance.

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Section: Introductionsupporting

confidence: 85%

Section: Discussionmentioning

confidence: 99%

Testing and validating IRI-2016 model over Ethiopian ionosphere

Endeshaw¹

2020

Astrophys Space Sci

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“…This result is important because it was expected major discrepancies at nighttime due to the fact the IRI-TEC model does not include the effects from the plasmasphere. In general, the GPS-TEC computes the TEC from ground all the way up to the plasmasphere, but the IRI-TEC model includes the ionosphere to the maximum altitude of only 2000 km [Kumar, 2016;Kenpankho et al, 2011]. However, the larger discrepancies observed at SJC station in the afternoon hours for all months are possibly due to dynamics of EIA region in consequence of the equatorial fountain effect, which the IRI model fails to predict correctly.…”

Section: Variations Of Dtec (Difference Between Tec From Gps and Iri-mentioning

confidence: 83%

Comparison of GPS-TEC measurements with IRI2012-TEC predictions in the Brazilian sector during the unusual solar minimum 2009

Abreu

Martin²,

Jesús³

et al. 2017

Annals of Geophysics

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“…Then we can obtain the IPPs according to the coordinates of the stations and satellites. Afterward, the ground‐based GNSS slant total electron content (STEC) measurements, ground‐based LEO STEC measurements, and LEO‐based GNSS STEC measurements are simulated using a ionospheric electron density model (Bilitza et al, ; Kumar, ; Nava et al, ), for example, International Reference Ionosphere (IRI; http://www.irimodel.org/). In this paper, we use the latest version of IRI model, which is IRI2016 version (the download address of Fortran source code: http://www.irimodel.org/IRI-2016/).…”

Section: Methodsmentioning

confidence: 99%

Performance of GNSS Global Ionospheric Modeling Augmented by LEO Constellation

Ren

Zhang

Schmidt³

et al. 2020

Earth and Space Science

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The Low-Earth-Orbiting (LEO) satellite has a fast motion and thus contributes to rapid changes in satellite geometric distribution, which can effectively mitigate multipath effects and offer more available observations. Recently, some studies have investigated LEO-augmented Global Navigation Satellite System (GNSS) positioning and navigation. However, the study of LEO-augmented global ionospheric modeling was not yet available. In this paper, we present the performance and accuracy of global ionospheric model augmented by LEO constellation for the first time. Based on the three kinds of designed LEO constellations with 60, 96, and 192 satellite simulation data, the results show that LEO observations can expand the coverage and increase the density of ionospheric pierce points (IPPs). Meanwhile, the density of IPPs becomes higher with an increasing number of LEO satellites. When the cutoff elevation is set to 40°, the IPP distribution of GNSS+LEO is still better than that of GNSS-only at 10°. This way the cutoff elevation angle of the GNSS measurements can be increased, since the mapping function error and the multipath effects are reduced. Furthermore, the performances of global ionosphere maps based on the observations of GNSS-only and GNSS+LEO scenarios are evaluated. Compared with GNSS-only, the minimum and maximum bias can be reduced from −18.1 to −7.0 total electron content unit and from 12.6 to 6.4 total electron content unit, respectively, and the root-mean-square values with LEO constellations of 60, 96, and 192 satellites improve by 35.9%, 46.5%, and 50%, respectively. Key Points:• LEO satellite was utilized for global ionosphere modeling • LEO satellite observations can fill the gap of missing spatial and temporal values in existing GNSS-based ionospheric modeling • By combining LEO constellation and Multi-GNSS simulated datasets, higher accuracy and higher spatial model can be achieved

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Performance of IRI‐2012 model during a deep solar minimum and a maximum year over global equatorial regions

Cited by 27 publications

References 42 publications

Testing and validating IRI-2016 model over Ethiopian ionosphere

Testing and validating IRI-2016 model over Ethiopian ionosphere

Comparison of GPS-TEC measurements with IRI2012-TEC predictions in the Brazilian sector during the unusual solar minimum 2009

Performance of GNSS Global Ionospheric Modeling Augmented by LEO Constellation

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