Positive and negative ionospheric responses to the March 2015 geomagnetic storm from BDS observations

Jin, Shuanggen; Jin, Rui; Kutoğlu, Şenol Hakan

doi:10.1007/s00190-016-0988-4

Cited by 90 publications

(60 citation statements)

References 50 publications

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“…An interesting approach to estimate DCB using a small scale network was suggested by Ma et al [11]. Many studies have been conducted for BDS-2 DCB estimation [12][13][14][15][16][17], ionospheric modeling [18][19][20], and applications [21].…”

Section: Introductionmentioning

confidence: 99%

Estimation and Analysis of BDS-3 Differential Code Biases from MGEX Observations

et al. 2019

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The third generation of China’s BeiDou Navigation Satellite System (BDS-3) began to provide global services on 27 December, 2018. Differential code bias (DCB) is one of the errors in precise BDS positioning and ionospheric modeling, but the impacts on BDS-2 satellites and receiver DCB are unknown after joining BDS-3 observations. In this paper, the BDS-3 DCBs are estimated and analyzed using the Multi-Global Navigation Satellite System (GNSS) Experiment (MGEX) observations during the period of day of year (DOY) 002–031, 2019. The results indicate that the estimated BDS-3 DCBs have a good agreement with the products provided by the Chinese Academy of Sciences (CAS) and Deutsche Zentrum für Luft- und Raumfahrt (DLR). The differences between our results and the other two products are within ±0.2 ns, with Standard Deviations (STDs) of mostly less than 0.2 ns. Furthermore, the effects on satellite and receiver DCB after adding BDS-3 observations are analyzed by BDS-2 + BDS-3 and BDS-2-only solutions. For BDS-2 satellite DCB, the values of effect are close to 0, and the effect on stability of DCB is very small. In terms of receiver DCB, the value of effect on each station is related to the receiver type, but their mean value is also close to 0, and the stability of receiver DCB is better when BDS-3 observations are added. Therefore, there is no evident systematic bias between BDS-2 and BDS-2 + BDS-3 DCB.

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Section: Introductionmentioning

confidence: 99%

Estimation and Analysis of BDS-3 Differential Code Biases from MGEX Observations

et al. 2019

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“…In order to look for comparable LTEs in a similar geomagnetic storm category, the author turned to the G4 geomagnetic storm that occurred during St. Patrick's Day in 2015 which has been thoroughly studied (Astafyeva et al, 2015;Cherniak et al, 2015;Nava et al, 2016;Yao et al, 2016;Jin et al, 2017;Zhang et al, 2018). In Fig.…”

Section: The St Patrick's Day 2015 Geomagnetic Stormmentioning

confidence: 99%

Emergence of a localized total electron content enhancement during the severe geomagnetic storm of 8 September 2017

Sotomayor-Beltran

2019

Ann. Geophys.

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Abstract. In this work, the results of the analysis on total electron content (TEC) data before, during and after the geomagnetic storm of 8 September 2017 are reported. One of the responses to geomagnetic storms due to the southern vertical interplanetary magnetic field (Bz) is the enhancement of the electron density in the ionosphere. Vertical TEC (VTEC) from the Center for Orbit determination in Europe (CODE) along with a statistical method were used to identify positive and/or negative ionospheric storms in response to the geomagnetic storm of 8 September 2017. When analyzing the response to the storm of 8 September 2017 it was indeed possible to observe an enhancement of the equatorial ionization anomaly (EIA); however, what was unexpected was the identification of a local TEC enhancement (LTE) to the south of the EIA (∼40∘ S, right over New Zealand and extending towards the southeastern coast of Australia and also eastward towards the Pacific). This was a very transitory LTE that lasted approximately 4 h, starting at ∼ 02:00 UT on 8 September where its maximum VTEC increase was of 241.2 %. Using the same statistical method, comparable LTEs in a similar category geomagnetic storm, the 2015 St. Patrick's Day storm, were looked for. However, for the aforementioned storm no LTEs were identified. As also indicated in a past recent study for a LTE detected during the 15 August 2015 geomagnetic storm, an association between the LTE and the excursion of Bz seen during the 8 September 2017 storm was observed as well. Furthermore, it is very likely that a direct impact of the super-fountain effect along with traveling ionospheric disturbances may be playing an important role in the production of this LTE. Finally, it is indicated that the 8 September 2017 LTE is the second one to be detected since the year 2016.

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“…Here, the high-order ionospheric effects are investigated during the intense geomagnetic storm which occurred on 17 March 2015 with a maximum disturbance storm time index (Dst) of −223 nT (Jin et al, 2017). We select nine radio occultation events during the geomagnetic storm for about 06:00.…”

Section: High-order Ionospheric Effects During the Geomagnetic Stormmentioning

confidence: 99%

High-order ionospheric effects on electron density estimation from Fengyun-3C GPS radio occultation

Jin

2017

Ann. Geophys.

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Abstract. GPS radio occultation can estimate ionospheric electron density and total electron content (TEC) with high spatial resolution, e.g., China's recent Fengyun-3C GPS radio occultation. However, high-order ionospheric delays are normally ignored. In this paper, the high-order ionospheric effects on electron density estimation from the Fengyun-3C GPS radio occultation data are estimated and investigated using the NeQuick2 ionosphere model and the IGRF12 (International Geomagnetic Reference Field, 12th generation) geomagnetic model. Results show that the high-order ionospheric delays have large effects on electron density estimation with up to 800 el cm −3 , which should be corrected in high-precision ionospheric density estimation and applications. The second-order ionospheric effects are more significant, particularly at 250-300 km, while third-order ionospheric effects are much smaller. Furthermore, the high-order ionospheric effects are related to the location, the local time, the radio occultation azimuth and the solar activity. The large high-order ionospheric effects are found in the low-latitude area and in the daytime as well as during strong solar activities. The second-order ionospheric effects have a maximum positive value when the radio occultation azimuth is around 0-20 • , and a maximum negative value when the radio occultation azimuth is around −180 to −160 • . Moreover, the geomagnetic storm also affects the high-order ionospheric delay, which should be carefully corrected.

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Positive and negative ionospheric responses to the March 2015 geomagnetic storm from BDS observations

Cited by 90 publications

References 50 publications

Estimation and Analysis of BDS-3 Differential Code Biases from MGEX Observations

Estimation and Analysis of BDS-3 Differential Code Biases from MGEX Observations

Emergence of a localized total electron content enhancement during the severe geomagnetic storm of 8 September 2017

High-order ionospheric effects on electron density estimation from Fengyun-3C GPS radio occultation

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