Regional ionospheric TEC modeling during geomagnetic storm in August 2021- data fusion using multi-instrument observations

Emmela, Suneetha; Ratnam, D. Venkata; Tan, Eng Leong

doi:10.1016/j.asr.2023.06.054

Cited by 2 publications

(1 citation statement)

References 43 publications

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“…These maps are widely used in the studies associated with the ionosphere. There are many studies on the examination of ionospheric parameters obtained using different data sources [20,[23][24][25][26][27][28][29][30][31][32]. Xu et al [27] examined the ionospheric parameters retrieved from FY3C/COSMIC RO and found that FY3C RO TEC and COSMIC RO TEC correlated with GIM TEC by 95% and 92%, respectively.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Ionospheric VTEC Retrieved from Multi-Instrument Observations

Oztan,

Duman,

Alcay

et al. 2024

Atmosphere

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This study examines the Vertical Total Electron Content (VTEC) estimation performance of multi-instruments on a global scale during different ionospheric conditions. For this purpose, GNSS-based VTEC data from Global Ionosphere Maps (GIMs), COSMIC (F7/C2)—Feng–Yun 3C (FY3C) radio occultation (RO) VTEC, SWARM–VTEC, and JASON–VTEC were utilized. VTEC assessments were conducted on three distinct days: geomagnetic active (17 March 2015), solar active (22 December 2021), and quiet (11 December 2021). The VTEC values of COSMIC/FY3C RO, SWARM, and JASON were compared with data retrieved from GIMs. According to the results, COSMIC RO–VTEC is more consistent with GIM–VTEC on a quiet day (the mean of the differences is 4.38 TECU), while the mean of FY3C RO–GIM differences is 7.33 TECU on a geomagnetic active day. The range of VTEC differences between JASON and GIM is relatively smaller on a quiet day, and the mean of differences on active/quiet days is less than 6 TECU. Besides the daily comparison, long-term results (1 January–31 December 2015) were also analyzed by considering active and quiet periods. Results show that Root Mean Square Error (RMSE) values of COSMIC RO, FY3C RO, SWARM, and JASON are 5.02 TECU, 6.81 TECU, 16.25 TECU, and 5.53 TECU for the quiet period, and 5.21 TECU, 7.07 TECU, 17.48 TECU, and 5.90 TECU for the active period, respectively. The accuracy of each data source was affected by solar/geomagnetic activities. The deviation of SWARM–VTEC is relatively greater. The main reason for the significant differences in SWARM–GIM results is the atmospheric measurement range of SWARM satellites (460 km–20,200 km (SWARM A, C) and 520 km–20,200 km (SWARM B), which do not contain a significant part of the ionosphere in terms of VTEC estimation.

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Section: Introductionmentioning

confidence: 99%

Analysis of Ionospheric VTEC Retrieved from Multi-Instrument Observations

Oztan,

Duman,

Alcay

et al. 2024

Atmosphere

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Geomagnetic storm effect on equatorial ionosphere over Sri Lanka through total electron content observations from continuously operating reference stations network during Mar–Apr 2022

Thiruvarangan,

Rajavarathan,

Panda

et al. 2024

Journal of Applied Geodesy

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The technological advancements in the current era have highlighted the increasing significance of satellite-based positioning, navigation, and timing services in a wide range of dynamic and critical applications. This has led to significant efforts towards enhancing the performance of global navigation satellite systems (GNSS) operating under challenging ionospheric conditions. The Sri Lankan ionosphere region is a focal point of equatorial aeronomy scientists, being situated in the southernmost landmass of the Indian longitude sector within the vicinity of the magnetic equator where a combination of electric, wind, and temperature dynamics exerts a substantial influence on the ionosphere but was relatively unexplored in the past. In the present work, we employed a Kriging interpolation technique on the total electron content (TEC) variables from ten GNSS receivers operating under the Continuously Operating Reference Stations (CORS) network in Sri Lanka first ever of its kind to deliver two-dimensional regional ionospheric TEC maps at hourly intervals, both during quiet and disturbed ionospheric conditions in the equinoctial March and April months of 2022. The latitudinal variation patterns are discernable from the hourly TEC maps. Furthermore, a comparative analysis of the performance of GNSS-derived TEC with that of the routinely published Global Ionospheric Maps (GIMs) confirms overestimation characteristics of the latter irrespective of the local time of observation. The generated regional ionospheric maps are fairly responsive to the onset of the storm and the recovery phase thereafter. The extent of nighttime ionospheric irregularity is also probed through the rate of TEC index (ROTI) variations, demonstrating that the irregularities were insignificant during the selected storm event.

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Regional ionospheric TEC modeling during geomagnetic storm in August 2021- data fusion using multi-instrument observations

Cited by 2 publications

References 43 publications

Analysis of Ionospheric VTEC Retrieved from Multi-Instrument Observations

Analysis of Ionospheric VTEC Retrieved from Multi-Instrument Observations

Geomagnetic storm effect on equatorial ionosphere over Sri Lanka through total electron content observations from continuously operating reference stations network during Mar–Apr 2022

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