Ionospheric F‐Layer Scintillation Variabilities Over the American Sector During Sudden Stratospheric Warming Events

Ye, Hailun; Xue, Xianghui; Yu, Tao; Sun, Yang‐Yi; Yi, Wu; Long, Chi; Zhang, Weifan; Dou, Xiankang

doi:10.1029/2020sw002703

Cited by 10 publications

(6 citation statements)

References 53 publications

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“…[79] reported a prolonged weakening of the ionospheric scintillation at a ground-based Global Navigation Satellite System (GNSS) station located in Brazil during three SSW events. Yu et al [80] and Ye et al [81] also observed the inhibition of scintillation over the American sector in COSMIC satellite measurements during certain SSW events. Jose et al [82] presented that the timing of the equatorial spread-F occurrence showed a quasi-16-day oscillation during the SSW years.…”

Section: Introductionmentioning

confidence: 90%

Impacts of the Sudden Stratospheric Warming on Equatorial Plasma Bubbles: Suppression of EPBs and Quasi-6-Day Oscillations

Aa,

Pedatella,

Liu

2024

Remote Sensing

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This study investigates the day-to-day variability of equatorial plasma bubbles (EPBs) over the Atlantic–American region and their connections to atmospheric planetary waves during the sudden stratospheric warming (SSW) event of 2021. The investigation is conducted on the basis of the GOLD (Global Observations of the Limb and Disk) observations, the ICON (Ionospheric Connection Explorer) neutral wind dataset, ionosonde measurements, and simulations from the WACCM-X (Whole Atmosphere Community Climate Model with thermosphere–ionosphere eXtension). We found that the intensity of EPBs was notably reduced by 35% during the SSW compared with the non-SSW period. Furthermore, GOLD observations and ionosonde data show that significant quasi-6-day oscillation (Q6DO) was observed in both the intensity of EPBs and the localized growth rate of Rayleigh–Taylor (R-T) instability during the 2021 SSW event. The analysis of WACCM-X simulations and ICON neutral winds reveals that the Q6DO pattern coincided with an amplification of the quasi-6-day wave (Q6DW) in WACCM-X simulations and noticeable ∼6-day periodicity in ICON zonal winds. The combination of these multi-instrument observations and numerical simulations demonstrates that certain planetary waves like the Q6DW can significantly influence the day-to-day variability of EPBs, especially during the SSW period, through modulating the strength of prereversal enhancement and the growth rate of R-T instability via the wind-driven dynamo. These findings provide novel insights into the connection between atmospheric planetary waves and ionospheric EPBs.

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Section: Introductionmentioning

confidence: 90%

Impacts of the Sudden Stratospheric Warming on Equatorial Plasma Bubbles: Suppression of EPBs and Quasi-6-Day Oscillations

Aa,

Pedatella,

Liu

2024

Remote Sensing

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“…For our investigations, the physical quantities used as input data were the zonal wind ( u ), meridional wind ( v ), vertical wind ( w ) and air temperature ( T ) at 5, 10, 20, 50 and 100 hPa of ERA5, which may be related to the generation of ionospheric irregularities (Fang et al., 2013; H. Liu et al., 2013; Ye et al., 2021). Since the Es layer is influenced by solar and geomagnetic activities (Pedatella, 2016), we selected the disturbance storm time index (Dst) and the 10.7 cm solar radio flux (F10.7) as the corresponding input features (Tapping, 2013), which is regarded as the constant physical quantity for each sample.…”

Section: Data and Artificial Intelligence Architecturementioning

confidence: 99%

Estimation Model of Global Ionospheric Irregularities: An Artificial Intelligence Approach

Tian

et al. 2022

Space Weather

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The ionospheric sporadic E layer, the ionospheric irregularities of enhanced electron density, appears in the Earth's ionosphere at altitudes between 90 and 120 km, which supports the real‐world radio communication needs of many sectors reliant on ionosphere‐dependent decision‐making. The prediction of the occurrence of sporadic E layers has been extremely difficult due to the highly complex behavior. Conventional numerical methods are limited because of the inability to extract high‐level information from data. Deep learning is a powerful tool for mining latent features from data, which can theoretically avoid assumptions constraining physical methods. Inspired by feature extraction, we applied deep learning to explore latent relationships between mapping observable lower atmospheric data and ionospheric data from limited observations. The proposed model was trained with high‐resolution ERA5 data during 1 January 2007–30 August 2018 as input and corresponding ionospheric sporadic E data collected from COSMIC RO measurements as output. The results show that the model can learn complex relevance as bridges connecting the input and the desired output and obtain excellent performance and generalization capability by applying multiple evaluation criteria. Additionally, we established several model architecture training methods to explore the performance of the model with different input data. The statistic results show that model inference performance is proportional to the abundance of input information and is impacted by intraseasonal variability. The inference capability of the model achieves the best performance in the June–August (JJA) and December–February (DJF) seasons, which is the exact period of sporadic E layer significant occurrence, although different models are evaluated.

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“…Goncharenko & Zhang, 2008;L. P. Goncharenko et al, 2013;Li et al, 2021;Matsuno, 1971;Pedatella & Forbes, 2010;Ye et al, 2021). Figure 10 presents the DW1 and SW2 tidal amplitude residuals, which are these tidal amplitudes minus the seasonal variations in these tidal components, and the dotted lines indicate the SSW central day, that is, 21 January 2006.…”

Section: Response Of Migrating Tides To the 2006 Stratospheric Sudden...mentioning

confidence: 99%

“…(2015), the 2006 Northern Hemisphere SSW (NH‐SSW) was classified as a major SSW event. Although SSW events mainly occur in the polar stratosphere, they can also strongly affect vertical coupling over a large range of altitudes from the ground surface up to the MLT/ionosphere (e.g., Chau et al., 2012; L. Goncharenko & Zhang, 2008; L. P. Goncharenko et al., 2013; Li et al., 2021; Matsuno, 1971; Pedatella & Forbes, 2010; Ye et al., 2021). Figure 10 presents the DW1 and SW2 tidal amplitude residuals, which are these tidal amplitudes minus the seasonal variations in these tidal components, and the dotted lines indicate the SSW central day, that is, 21 January 2006.…”

Section: Response Of Migrating Tides To the 2006 Stratospheric Sudden...mentioning

confidence: 99%

Coordinated Observations of Migrating Tides by Multiple Meteor Radars in the Equatorial Mesosphere and Lower Thermosphere

Wang

et al. 2022

JGR Space Physics

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We present the migrating tidal winds decomposed jointly from multiple meteor radars in four longitudinal sectors situated in the equatorial mesosphere and lower thermosphere. The radars are located in Cariri, Brazil (7.4°S, 36.5°W), Kototabang, Indonesia (0.2°S, 100.3°E), Ascension Island, United Kingdom (7.9° S, 14.4° W), and Darwin, Australia (12.3°S, 130.8°E). Harmonic analysis was used to obtain amplitudes and phases for diurnal and semidiurnal solar migrating tides between 82 and 98 km altitude during the period 2005–2008. To verify the reliability of the tidal components calculated by the four meteor radar wind measurements, we also present a similar analysis for the Whole Atmosphere Community Climate Model winds, which suggests that the migrating tides are well observed by the four different radars. The tides include the important tidal components of diurnal westward‐propagating zonal wavenumber 1 and semidiurnal westward‐propagating zonal wavenumber 2. In addition, the results based on observations were compared with the Climatological Tidal Model of the Thermosphere (CTMT). In general, in terms of climatic features, our results for the major components of migrating tides are qualitatively consistent with the CTMT models derived from satellite data. In addition, the tidal amplitudes are unusually stronger in January–February 2006. This result is probably because tides were enhanced by the 2006 Northern Hemisphere stratospheric sudden warming event.

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Ionospheric F‐Layer Scintillation Variabilities Over the American Sector During Sudden Stratospheric Warming Events

Cited by 10 publications

References 53 publications

Impacts of the Sudden Stratospheric Warming on Equatorial Plasma Bubbles: Suppression of EPBs and Quasi-6-Day Oscillations

Impacts of the Sudden Stratospheric Warming on Equatorial Plasma Bubbles: Suppression of EPBs and Quasi-6-Day Oscillations

Estimation Model of Global Ionospheric Irregularities: An Artificial Intelligence Approach

Coordinated Observations of Migrating Tides by Multiple Meteor Radars in the Equatorial Mesosphere and Lower Thermosphere

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