Global ionospheric scintillations revealed by GPS radio occultation data with FY3C satellite before midnight during the March 2015 storm

Wang, Guojun; Shi, Jian; Bai, Weihua; Galkin, I. A.; Wang, Zeng; Sun, Yang

doi:10.1016/j.asr.2019.01.028

Cited by 7 publications

(10 citation statements)

References 48 publications

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“…Besides, the bias and std of differences of maximum S4 index between FY3C/GNOS and COSMIC are 0.004 and 0.063, respectively [4]. The above results illustrate the decent precision of FY3C/GNOS GPS RO products, which offer the possibilities for its application in magnetic storm research [41,49], indicating its significant potential in studying the physical mechanism of the event-specific magnetic storm. However, its application in ionospheric climatology study is still in an initial stage and has lagged far behind COSMIC.…”

Section: Introductionmentioning

confidence: 68%

“…It is found that the Root-Mean-Square error (RMSE) of foF2 between COSMIC and ionosondes is around 0.5 MHz [29], the bias and std of NmF2 differences between COSMIC and ionosondes are 0.72% and 8.42%, respectively, and the bias and std of hmF2 are 2.80 and 11.46 km [30], respectively, which shows the great precision of COMSIC IRO data. Thanks to the large amount of timely and high-quality IRO products provided by COSMIC, the operationalization of occultation observation has been greatly promoted [20,31], and the IRO products of COSMIC have been widely used in ionospheric research, such as lower atmosphere-ionosphere coupling [32,33], ionospheric climatology study [1,[34][35][36][37], model assimilation [26,33,38,39], scintillation research [4,40,41], earthquake precursor study [42][43][44], and so on. It is worth mentioning that the globally distributed high-precision electron density profiles (EDPs) given by COSMIC provide unprecedented details for global ionospheric climatology study.…”

Section: Introductionmentioning

confidence: 99%

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Comparison and Validation of the Ionospheric Climatological Morphology of FY3C/GNOS with COSMIC during the Recent Low Solar Activity Period

et al. 2019

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With the accumulation of the ionospheric radio occultation (IRO) data observed by Global Navigation Satellite System (GNSS) occultation sounder (GNOS) onboard FengYun-3C (FY3C) satellite, it is possible to use GNOS IRO data for ionospheric climatology research. Therefore, this work aims to validate the feasibility of FY3C/GNOS IRO products in climatology research by comparison with that of Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC), laying the foundation for its application in climatology study. Since previous verification works of FY3C/GNOS were done by comparison with ionosondes, this work matched NmF2/hmF2 of FY3C/GNOS and COSMIC into data pairs to verify the profile-level accuracy of FY3C/GNOS IRO data. The statistical results show that the overall correlation coefficients of both NmF2 and hmF2 are above 0.9, the overall bias and std of NmF2 differences between FY3C/GNOS and COSMIC are −2.19% and 17.48%, respectively, and the bias and std of hmF2 differences are −3.29 and 18.01 km, respectively, indicating a high profile-level precision consistency between FY3C/GNOS and COSMIC. In ionospheric climatology comparison, we divided NmF2/hmF2 of FY3C/GNOS into four seasons, then presented the season median NmF2/hmF2 in 5° × 10° grids and compared them with that of COSMIC. The results show that the ionospheric climatological characteristics of FY3C/GNOS and COSMIC are highly matched, both showing the typical climatological features such as equatorial ionosphere anomaly (EIA), winter anomaly, semiannual anomaly, Weddell Sea anomaly (WSA) and so on, though minor discrepancies do exist like the differences in magnitude of longitude peak structures and WSA, which verifies the reliability of FY3C/GNOS IRO products in ionospheric climatology research.

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Section: Introductionmentioning

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Comparison and Validation of the Ionospheric Climatological Morphology of FY3C/GNOS with COSMIC during the Recent Low Solar Activity Period

et al. 2019

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“…Figure 1 shows the measured SNR in low‐latitude on DOY 76, 2015 (Wang et al., 2019). The labels in the figure indicate the calculated S4 index, decorrelation time ( τ I ) and standard deviation of neutral bending angle (STDV).…”

Section: Evaluation Casesmentioning

confidence: 99%

“…In this paper, the single-slope model for ionospheric scintillation described in Carrano et al (2011) was integrated to MPS method in order to replicate the disturbances, that is, scintillations, on the neutral bending angle as observed in RO measurements. Three measurements in low latitude performed by Meteorological Operational Satellite Program (MetOp) constellation in the early hours of DOY 76, 2015 (Wang et al, 2019) have been considered in the investigation. In this simplified model, parameter such as spectral slope, outer scale, and root-mean-square (RMS) level of fluctuation have been adjusted in simulations.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Ionospheric Scintillation in GNSS Radio Occultation Measurements and Simulations

Ludwig-Barbosa

Sievert

Rasch³

et al. 2020

Radio Science

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Like any other system relying on transionospheric propagation, Global Navigation Satellite System (GNSS) Radio Occultation (GNSS‐RO) is affected by ionospheric conditions during measurements. Regions of plasma irregularities in F region create abrupt gradients in the distribution of ionized particles. Radio signals propagated through such regions suffer from constructive and destructive contributions in phase and amplitude, known as scintillations. Different approaches have been proposed in order to model and reproduce the wave propagation through ionospheric irregularities. We present simulations considering single‐slope power law model of irregularities integrated with Multiple Phase Screen (MPS) propagation. In this work, the capability of the scintillation model to reproduce features in low‐latitude MetOp measurements in the early hours of DOY 76, 2015 is evaluated. Power spectral density (PSD) analysis, scintillation index, decorrelation time, and standard deviation of neutral bending angle are considered in the comparison between the simulations and RO measurements. The results demonstrate the capability of the simulator to replicate an equivalent error contribution to the neutral bending angle measurement in cases of moderate to strong scintillation.

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“…Wang GJ et al (2019) reported global observations of the S 4 amplitude scintillation index by the GPS Occultation Sounder (GNOS) on the Fengyun‐3 C (FY3C) satellite. The observations reveal global dynamic patterns of strong pre‐midnight scintillations in the ionospheric F‐region during the St. Patrick's Day geomagnetic super storm of 17–19 March 2015.…”

Section: Ionospheric Irregularity and Scintillationmentioning

confidence: 99%

Recent ionospheric investigations in China (2018–2019)

Liu

Wan

2020

Earth and Planetary Physics

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Key Points:Ionospheric observations have continuously accumulated with increasing GNSS receivers being installed q Studies of ionospheric climatology and space weather highlight new physical understanding q Study of ionospheric irregularities/scintillations reports interesting features q Abstract: Since the release of the 2018 National Report of China on ionospheric research ( Liu LB and Wan WX, 2018) to the Committee on Space Research (COSPAR), scientists from Mainland China have made many new fruitful investigations of various ionospheric-related issues. In this update report, we briefly introduce more than 130 recent reports ( [2018][2019]. The current report covers the following topics: ionospheric space weather, ionospheric structures and climatology, ionospheric dynamics and couplings, ionospheric irregularity and scintillation, modeling and data assimilation, and radio wave propagation in the ionosphere and sounding techniques. ΔV para (m/s) SYM-H (nT) V para (m/s) V para (m/s) ΔV para (m/s) Figure 2. (a) The SYM-H index on 13-17 July 2012. The blue line marks the storm onset (at 06:42 UT on 15 July); yellow and gray areas indicate the 24-hour storm-time and 24-hour quiet-time intervals. (b) The blue dots denote the storm-time equatorial field-aligned plasma drifts observed by C/NOFS with red curve representing median and red lines denoting upper and lower quartile values. (c) Same as panel (b), but for the 24-hour quiet time interval. (d) The difference between (b) and (c). (e-h) Same as panels (a-d), but for the case on 7-11 July 2012 where the 24-hour quiet and storm intervals start at 04:12 UT on 7 and 9 July, respectively, after Zhang R et al. (2018). Earth and Planetary Physics

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Global ionospheric scintillations revealed by GPS radio occultation data with FY3C satellite before midnight during the March 2015 storm

Cited by 7 publications

References 48 publications

Comparison and Validation of the Ionospheric Climatological Morphology of FY3C/GNOS with COSMIC during the Recent Low Solar Activity Period

Comparison and Validation of the Ionospheric Climatological Morphology of FY3C/GNOS with COSMIC during the Recent Low Solar Activity Period

Evaluation of Ionospheric Scintillation in GNSS Radio Occultation Measurements and Simulations

Recent ionospheric investigations in China (2018–2019)

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