A statistical comparison of IRI TEC prediction with GPS TEC measurement over Varanasi, India

Rathore, Vishnu Singh; Kumar, Sanjay; Singh, Ashish Kumar

doi:10.1016/j.jastp.2015.01.006

Cited by 28 publications

(5 citation statements)

References 39 publications

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“…Okoh et al 10 found that the IRI TEC values mostly related well with the GPS TEC values, with correlation coefficients nearly about 0.9, and root-mean square deviations almost about 20–50% for diurnal evaluations. This situation of IRI-Neq to have the smallest deviations of IRI-TEC values from GPS TEC values compared to IRI-2001 was also reported by Rathore et al 24 at Varanasi, India.…”

Section: Resultssupporting

confidence: 82%

Performance of IRI 2016 model in predicting total electron content (TEC) compared with GPS-TEC over East Africa during 2019–2021

Sulungu

2024

Sci Rep

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This study evaluated the applicability of IRI-2016 model in predicting GPS TEC using the monthly means of the five (5) quiet days for equinoxes and solstices months. GPS-derived TEC data were obtained from the IGS network of ground based dual frequency GPS receivers from three stations [(KYN3 0.53° S, 38.53° E; Geom. Lat. 3.91.63° S), (MBAR 0.60° S, 30.74° E; Geom. Lat. 2.76° S) and HOID 1.45° S, 31.34° E; Geom. Lat. 3.71° S]. All the three options for topside Ne of IRI-2016 model and ABT-2009 for bottomside thickness have been used to compute the IRI TEC. The results were compared with the GPS TEC measurements. Correlation Coefficients between the two sets of data, the Root-Mean Square Errors of the IRI-TEC from the GPS-TEC, and the percentage RMSE of the IRI-TEC from the GPS-TEC have been computed. In general, the IRI-2016 model underestimated GPS-TEC during the nighttime, whereas the model overestimated GPS-TEC values during the daytime. At most of the stations and during all seasons where data were available, correlation coefficient was above 0.9, which is quite strong. The variation of O/N2 ratio may potentially be the cause of the IRI TEC deviation from the GPS TEC. This variation arises from lower thermosphere plasma drift that moves upward.

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Section: Resultssupporting

confidence: 82%

Performance of IRI 2016 model in predicting total electron content (TEC) compared with GPS-TEC over East Africa during 2019–2021

Sulungu

2024

Sci Rep

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“…The chain of GPS receivers provided an opportunity to attempt an extensive study of the Indian zone TEC, with high temporal and spatial resolution. Rathore et al (2015) found GPS TEC, at the station Varanasi (Geographic: 25°16 N, 82°59 E), to be in good agreement (r = 0.9) with IRI model TEC (IRI-2012). In seasonal variation, IRI model significantly overestimated TEC for the station during the winter season of 2012-2013.…”

Section: Introductionmentioning

confidence: 78%

Statistics of GPS TEC at the northern EIA crest region of the Indian subcontinent during the solar cycle 24 (2013-2018): comparison with IRI-2016 and IRI-2012 models

Patari

Paul

Guha

2021

Astrophys Space Sci

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In this study the statistics of ionospheric total electron content (TEC), derived from a GSV4004B dualfrequency Global Positioning System (GPS) receiver at Agartala station (23.450°N, 91.150°E) located in northern equatorial ionization anomaly (EIA) crest region of the Indian subcontinent, is reported with a performance analysis of IRI-2016 and IRI-2012 models during the ascending, maxima, declining and minima phases (2013)(2014)(2015)(2016)(2017)(2018) of the solar cycle 24. Variations of model total electron content, as obtained from the IRI-2016 and IRI-2012 for the three options of topside electron density namely NeQuick, IRI 2001 and IRI 01-corr, are compared with the observed total electron content during different periods of interest viz. monthly, seasonal, annual and the correlations with solar activity parameters viz. sunspot number (SSN), 10.7 cm solar radio flux (F10.7), solar EUV flux, are also investigated. All the three options of IRI-2016 and IRI-2012 models show an earlier occurrence of diurnal maximum total electron content, as compared to the observed diurnal maximum GPS total electron content, throughout all the months during the complete period of observation. As the solar activity decreases (from 2015 to 2018), the model starts underestimating GPS total electron content, which becomes significantly high during the very low solar activity period of 2017-18 for all the months. IRI-2016 model underestimates the GPS total electron content before the hours of diurnal maximum and overestimates after the hours of diurnal maximum in the years from 2013-2018. IRI-2012 model underestimates the GPS total electron content before the hours of diurnal maximum and overestimates after the hours of diurnal maximum in the A. Guha

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“…In this study, the percent deviation (% dev) between the ionosonde and IRI-Plas 2017 model ionospheric parameter data has been calculated by using the expression of the observed value (ionosonde) minus the model value (IRI-Plas 2017) divided by the observed value and times 100. Positive percent deviations indicate underestimation of the models from ionosonde electron density measurements, while negative percent deviations indicate overestimation [ [68] , [69] , [70] , [71] , [72] , [73] ]. The percent deviation (% dev) between the IRI-Plas 2017 model and ionosonde ionospheric parameter data has been determined by using the following equation:

where, % dev, Iono Parameters , and IRI Plas Parameters represent the percent deviation and ionospheric parameter values for the ionosode and IRI Plas model respectively.…”

Section: Methodology and Datamentioning

confidence: 99%

Performance evaluation of IRI-Plas 2017 model with ionosonde data measurements of ionospheric parameters

Endeshaw,

Seyoum

2023

Heliyon

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A statistical comparison of IRI TEC prediction with GPS TEC measurement over Varanasi, India

Cited by 28 publications

References 39 publications

Performance of IRI 2016 model in predicting total electron content (TEC) compared with GPS-TEC over East Africa during 2019–2021

Performance of IRI 2016 model in predicting total electron content (TEC) compared with GPS-TEC over East Africa during 2019–2021

Statistics of GPS TEC at the northern EIA crest region of the Indian subcontinent during the solar cycle 24 (2013-2018): comparison with IRI-2016 and IRI-2012 models

Performance evaluation of IRI-Plas 2017 model with ionosonde data measurements of ionospheric parameters

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