Latitudinal characteristics of GPS derived ionospheric TEC : a comparative study with IRI 2012 model

The present study investigates the variation of Total Electron Content (TEC) using Global Positioning System (GPS) satellites from four equatorial to mid-latitudes stations over a period of one year. The stations are Port Blair (11.63°N, 92.70°E), Agartala (23.75°N, 91.25°E), Lhasa (29.65°N, 91.10°E...

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Main Authors: Chakraborty, Monti, Kumar, Sanjay, De, Barin Kumar, Guha, Anirban
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2015
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Online Access:https://hdl.handle.net/10356/104374
http://hdl.handle.net/10220/25900
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1043742020-03-07T14:00:38Z Latitudinal characteristics of GPS derived ionospheric TEC : a comparative study with IRI 2012 model Chakraborty, Monti Kumar, Sanjay De, Barin Kumar Guha, Anirban School of Electrical and Electronic Engineering DRNTU::Science::Physics::Geophysics and geomagnetism The present study investigates the variation of Total Electron Content (TEC) using Global Positioning System (GPS) satellites from four equatorial to mid-latitudes stations over a period of one year. The stations are Port Blair (11.63°N, 92.70°E), Agartala (23.75°N, 91.25°E), Lhasa (29.65°N, 91.10°E) and Urumqi (43.46°N, 87.16°E). The diurnal, monthly and seasonal variations of TEC have been explored to study its latitudinal characteristics. Analysis of TEC data from these stations reveals the characteristics of latitudinal variation of Equatorial Ionospheric Anomaly (EIA). To validate the latest IRI 2012 model, the monthly and seasonal variations of GPS-TEC at all the four stations have been compared with the model for three different topside options of electron density, namely, NeQuick, IRI-01-corr and IRI-2001. TEC predictions from IRI-2001 top side electron density option using IRI 2012 model overestimates the observed TEC especially at the low latitudes. TEC from IRI- NeQuick and IRI-01-corr options shows a tendency to underestimate the observed TEC during the day time particularly in low latitude region in the high solar activity period. The agreement between the model and observed values are reasonable in mid latitude regions. However, a discrepancy between IRI 2012 derived TEC with the ground based observations at low latitude regions is found. The discrepancy appears to be higher in low-latitude regions in comparison to mid latitude regions. It is concluded that largest discrepancy in TEC occur as a result of poor estimation of the hmF2 and foF2 from the coefficients. Published version 2015-06-14T14:40:23Z 2019-12-06T21:31:30Z 2015-06-14T14:40:23Z 2019-12-06T21:31:30Z 2014 2014 Journal Article Chakraborty, M., Kumar, S., De, B. K., & Guha, A. (2014). Latitudinal characteristics of GPS derived ionospheric TEC : a comparative study with IRI 2012 model. Annals of geophysics, 57(5), A0539-. https://hdl.handle.net/10356/104374 http://hdl.handle.net/10220/25900 10.4401/ag-6438 en Annals of geophysics This work is licensed under a Creative Commons Attribution 3.0 License. 13 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Science::Physics::Geophysics and geomagnetism
spellingShingle DRNTU::Science::Physics::Geophysics and geomagnetism
Chakraborty, Monti
Kumar, Sanjay
De, Barin Kumar
Guha, Anirban
Latitudinal characteristics of GPS derived ionospheric TEC : a comparative study with IRI 2012 model
description The present study investigates the variation of Total Electron Content (TEC) using Global Positioning System (GPS) satellites from four equatorial to mid-latitudes stations over a period of one year. The stations are Port Blair (11.63°N, 92.70°E), Agartala (23.75°N, 91.25°E), Lhasa (29.65°N, 91.10°E) and Urumqi (43.46°N, 87.16°E). The diurnal, monthly and seasonal variations of TEC have been explored to study its latitudinal characteristics. Analysis of TEC data from these stations reveals the characteristics of latitudinal variation of Equatorial Ionospheric Anomaly (EIA). To validate the latest IRI 2012 model, the monthly and seasonal variations of GPS-TEC at all the four stations have been compared with the model for three different topside options of electron density, namely, NeQuick, IRI-01-corr and IRI-2001. TEC predictions from IRI-2001 top side electron density option using IRI 2012 model overestimates the observed TEC especially at the low latitudes. TEC from IRI- NeQuick and IRI-01-corr options shows a tendency to underestimate the observed TEC during the day time particularly in low latitude region in the high solar activity period. The agreement between the model and observed values are reasonable in mid latitude regions. However, a discrepancy between IRI 2012 derived TEC with the ground based observations at low latitude regions is found. The discrepancy appears to be higher in low-latitude regions in comparison to mid latitude regions. It is concluded that largest discrepancy in TEC occur as a result of poor estimation of the hmF2 and foF2 from the coefficients.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Chakraborty, Monti
Kumar, Sanjay
De, Barin Kumar
Guha, Anirban
format Article
author Chakraborty, Monti
Kumar, Sanjay
De, Barin Kumar
Guha, Anirban
author_sort Chakraborty, Monti
title Latitudinal characteristics of GPS derived ionospheric TEC : a comparative study with IRI 2012 model
title_short Latitudinal characteristics of GPS derived ionospheric TEC : a comparative study with IRI 2012 model
title_full Latitudinal characteristics of GPS derived ionospheric TEC : a comparative study with IRI 2012 model
title_fullStr Latitudinal characteristics of GPS derived ionospheric TEC : a comparative study with IRI 2012 model
title_full_unstemmed Latitudinal characteristics of GPS derived ionospheric TEC : a comparative study with IRI 2012 model
title_sort latitudinal characteristics of gps derived ionospheric tec : a comparative study with iri 2012 model
publishDate 2015
url https://hdl.handle.net/10356/104374
http://hdl.handle.net/10220/25900
_version_ 1681046470383370240