Comparison of TEC from IRI-2016 and GPS during the low solar activity over Turkey

Tariq, M. Arslan; Shah, Munawar; İnyurt, Samed; Shah, Muhammad Ali; Liu, Libo

doi:10.1007/s10509-020-03894-3

Cited by 25 publications

(9 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[13] [14] reported that these equinoctial asymmetries present at low latitude are influenced by the thermosphere and ionospheric dynamics processes and meridional wind control as well. Also, we can see that during Previous reports by [15] and [10] showed IRI-2016 model tends to underestimate VTEC at low latitude. due to the presence of equatorial ionospheric anomaly.…”

Section: Resultssupporting

confidence: 57%

“…The level of TEC values is quite good in middle latitudes but not for low latitudes. However, the latest report by [10] and [11] regarding the response of the IRI-2016 TEC model at the maximum and minimum solar activities showed the TEC level at low latitudes tends to be lower than the observation data. In this paper, the TEC from GISTM (GPS Ionospheric Scintillation and TEC Monitoring) installed at Pontianak (0.03 o S;109.33 o E) was used for validation and evaluation IRI-2016 TEC model.…”

Section: Introductionmentioning

confidence: 84%

See 1 more Smart Citation

A model of the deviation between IRI-2016 and ionospheric TEC observation based on GISTM at low latitude Indonesia region

Husin¹,

Suraina

Putra

et al. 2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

The diurnal variation pattern of total electron content(TEC) from the International Recurrence Ionosphere (IRI-2016) model is generally is good agreement with observational data at all latitudes. However, at low latitudes the IRI TEC is not as accurate as in midlatitudes. Some reports showed that the IRI-2016 TEC model at the maximum and minimum solar activities at low latitudes tends to be underestimate. In this paper, TEC from GISTM (GPS Ionospheric Scintillation and TEC Monitoring) that is installed at Pontianak station (0.03° S;109.33°E geomagnetic latitude 9.7°S ) used for validation and evaluation of IRI-2016 TEC model over the low latitude Indonesian sector. Data from the 2012 - 2014 period representing solar maximum and data from 2018 representing solar minimum, were used in this study. We also developed VTEC deviation (ΔTEC) model by using multiple linear regression and tested the model by using data 2019. Results show that IRI-2016 generally reproduces the diurnal variations pattern but underestimates the observation data for many hours each day especially during maximum solar activity 2012-20114. The highest deviation in the equinoctial months and lowest during the June and December solstice. The deviation (ΔTEC) model showed good agreement with observation data on January and December but not for other months especially on equinox months. Testing of the VTEC deviation model using 2019 data did not show significant improvement compared to the IRI-2016 itself, which generally produces good TEC prediction in most of the months except for equinox months.

show abstract

Section: Resultssupporting

confidence: 57%

Section: Introductionmentioning

confidence: 84%

A model of the deviation between IRI-2016 and ionospheric TEC observation based on GISTM at low latitude Indonesia region

Husin¹,

Suraina

Putra

et al. 2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…The monitoring of solar activity and geomagnetic storms is very important in earthquake precursory study to distinguish the earthquake induced anomaly from geomagnetic storm. There are several reports about the association of TEC anomalies with geomagnetic storms (e.g., Shah et al, 2020a;Shah et al, 2020b;Shah et al, 2020c;Tariq et al, 2020). We observed ionospheric anomaly at Iqqe and Antc stations on December 21, 2016 (4 days before main shock) against Kp>3 geomagnetic storm and anomalous TEC value at Sant station occurred on December 18, 2016 (Figure 3c).…”

Section: Resultsmentioning

confidence: 51%

Possible Seismo Ionospheric Anomalies before the 2016 Mw 7.6 Chile Earthquake from GPS TEC, GIM TEC and Swarm Satellites

Rahman¹

2020

Nat. App. Sci. Int. J.

View full text Add to dashboard Cite

The recent advances in space based ionospheric measurements can help to investigate seismic precursors before earthquake with multi-parameter observations and more dedicated instrumentations. In this paper, seismo ionospheric anomalies before the December 25, 2016, Mw 7.6, Chile earthquake are investigated in Total Electron Content (TEC) and Global Ionosphere Map (GIM). The temporal TEC from GPS stations and GIM show enhancement during 5- 10 days (local daytime) before main shock. Similarly, spatial TEC confirms abnormal dense cloud at LT=12h-14h on December 21, 2016, that lingers over the epicenter of Chile earthquake. On the other hand, the geomagnetic indices show Dst < -50nT of low intensity variation. Similarly, Kp > 3 on December 21, 2016 within 5-10 days before the Mw 7.6. This study emphasizes that the ionosphere anomalies may not be the possible association of earthquakes induced variation but it is due to the active storm conditions (Kp>3).

show abstract

“…Such empirical models are recognized for predicting/modelling the values of ionospheric TEC during several solar magnetic active phases (Timoçin et al, 2018). The analysis of TEC variability of the ionosphere in solar quiet and active days is beneficial and shows a significant practicality in single frequency receiver based navigation using satellites and for the range error corrections and time delay (Tariq et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have been reported about model predicted VTEC and measured VTEC over different latitudes to validate improvements in delay over low and mid-latitude (Chakraborty et al, 2014;Tariku, 2016;Natali & Meza, 2017;Tariq et al, 2020). In mid-latitude, IRI models provide fine observations (Kumar et al 2015;Gordiyenko & Yakovets, 2017;Tariku, 2019;Shahzad et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Wavelet analysis based VTEC variability over mid-latitude region Sukkur, Pakistan and its comparison with IRI models during 2019-2020

Shahzad¹,

Hafeez²,

Júnior³

et al. 2022

Nat. App. Sci. Int. J.

View full text Add to dashboard Cite

The Total Electron Content (TEC) from the Sukkur GPS station is studied during the final phase of the solar cycle 24 and the initial phase of solar cycle 25 (2019-2020). TEC comparisons are made with three international reference ionospheric models: IRI-2007, IRI-2012 and IRI-2016. The finding of the study indicates that IRI-2016 is better than IRI-2007 and IRI-2012 in monthly values using wavelet transformation. Moreover, the seasonal variations between observed and modelled VTEC were observed maximum during the spring season. Similarly, the IRI-2016 exhibited maximum correlation (i.e., r > 0.8) as compared to the other two models for both solar cycle phases. This study also includes a cross-correlation of GPS-VTEC with several storm indices (Kp, Dst, Ap) via wavelet transformation. In this paper, the wavelet spectrum is analysed for two-year data (2019-2020) to visualize the impact of geomagnetic storm indices on VTEC. Storms of different intensities during 2019-2020 solar activity were also analysed, where maximum correlation from wavelet transformation between GPS VTEC and geomagnetic indices was recorded during the initial solar phase of cycle 25. These kinds of studies assist to correct the measured GPS VTEC and help to improve predicted VTEC over mid-latitude regions.

show abstract

Comparison of TEC from IRI-2016 and GPS during the low solar activity over Turkey

Cited by 25 publications

References 37 publications

A model of the deviation between IRI-2016 and ionospheric TEC observation based on GISTM at low latitude Indonesia region

A model of the deviation between IRI-2016 and ionospheric TEC observation based on GISTM at low latitude Indonesia region

Possible Seismo Ionospheric Anomalies before the 2016 Mw 7.6 Chile Earthquake from GPS TEC, GIM TEC and Swarm Satellites

Wavelet analysis based VTEC variability over mid-latitude region Sukkur, Pakistan and its comparison with IRI models during 2019-2020

Contact Info

Product

Resources

About