Vertical plasma transport in the ionosphere over Irkutsk during St. Patrick’s Day geomagnetic storm: Observations and modeling

Ratovsky, Konstantin; Клименко, М. В.; Vasilyev, Roman; Клименко, В. В.; Podlesnyi, A. V.

doi:10.1016/j.asr.2020.10.021

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…For these reasons, if a strong eastward penetration occurs in the presence of an adequate equatorward neutral wind, there can be a strong positive ionospheric storm. Ratovsky et al [25] recently confirmed these results. Considerable debate did not lead to a single point of view about mechanisms of the positive ionospheric storms [26][27][28].…”

Section: Introductionmentioning

confidence: 70%

Statistical Analysis and Interpretation of High-, Mid- and Low-Latitude Responses in Regional Electron Content to Geomagnetic Storms

et al. 2020

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Geomagnetic storm is one of the most powerful factors affecting the state of the Earth’s ionosphere. Revealing the significance of formation mechanisms for ionospheric storms is still an unresolved problem. The purpose of the study is to obtain a statistical pattern of the response in regional electron content to geomagnetic storms on a global scale to interpret the results using the upper atmosphere model (the Global Self-consistent Model of the Thermosphere, Ionosphere, and Protonosphere), to make the detailed comparison with the thermospheric storm concept, and to compare the obtained pattern with results from previous statistical studies. The regional electron content is calculated based on the global ionospheric maps data, which allows us to cover the midlatitude and high-latitude zones of both hemispheres, as well as the equatorial zone. Most of the obtained statistical pattern agrees with the thermospheric storm concept and with the previous statistical studies: ionospheric responses at ionospheric storm main phases including their seasonal dependences for the high- and midlatitudes and some features of ionospheric responses at recovery phases. However, some of the statistical patterns are inconsistent with the thermospheric storm concept or contradicts the previous statistical studies: negative midlatitude ionospheric responses at recovery phases in the local winter, the domination of the spring response in the equatorial zone, seasonal features of the positive after-effects, the interhemispheric asymmetry of ionospheric responses, and the prestorm enhancement. We obtained that the contribution of electric field to the interpretation of the zonal and diurnal averaged storm-time regional electron content (REC) disturbances is insignificant. The positive after-storm effects at different latitudes are caused by n(O) disturbances.

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Section: Introductionmentioning

confidence: 70%

Statistical Analysis and Interpretation of High-, Mid- and Low-Latitude Responses in Regional Electron Content to Geomagnetic Storms

et al. 2020

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“…Also, Ratovsky et al. (2021) identify the zonal electric field as the main contributor to the hmF2 increase over the Irkutsk station during the St. Patrick's Days storm 2015. Figure 11 shows a limited capability of the tomography result to reproduce the hmF2 increase.…”

Section: Discussionmentioning

confidence: 99%

Global‐Scale Ionospheric Tomography During the March 17, 2015 Geomagnetic Storm

et al. 2021

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Measuring the electron density in the ionosphere is an important step to improve our understanding of the solar-terrestrial environment impact on communication, surveillance, and navigation systems. Several methods can be applied to estimate the three-dimensional (3D) electron density in the ionosphere (Bust & Mitchell, 2008). In this context, the computerized ionospheric tomography (CIT) gained attention in the last three decades since it provides accurate observations of the ionospheric electron density over large areas (Austen et al., 1988;Norberg et al., 2018). The main products are 3D spatial fields of the electron density, which evolve with time in a series of snapshots. Over the last 20 years, several achievements have been obtained by CIT techniques. It has been demonstrated that these images can be used to describe the overall ionospheric plasma structure and its temporal evolution in the atmosphere. They have been successfully used to represent important ionospheric dynamics, such as traveling ionospheric disturbances (Bolmgren et al., 2020;Chen et al., 2016), geomagnetic storm signatures

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“…Recently, the GSM TIP model was used to study different aspects of the upper atmosphere response to geomagnetic storms [27][28][29]. As was shown in [30][31][32], the GSM TIP model well reproduces temporal evaluation of the storm-time tongue of ionization, the main ionospheric trough, and auroral electrojet.…”

Section: Gsm Tip Modelmentioning

confidence: 99%

Energetic Particle Precipitation Influence on Tidal Variations of Thermosphere Parameters in September 2017

et al. 2023

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The role of energetic particle precipitation in the formation of thermospheric tides is investigated. Using the Global Self-consistent Model of the Thermosphere, Ionosphere, and Protonosphere (GSM TIP) and two models of energetic particle precipitation, APM (Auroral Precipitation Model) and AIMOS 2.0.-AISstorm (Atmospheric Ionization Module Osnabrück 2.0—Atmospheric Ionization during Substorms), we performed simulations for the period 3–12 September 2017. This period covers both geomagnetically quiet days and the storm of 7–8 September. The analysis shows that migrating tides diurnal wave (DW) and semidiurnal wave (SW) prevail on quiet days for both versions of the simulations. On the day of maximum storm development on 8 September and the day after—9 September, the nonmigrating components of tidal waves, mainly DW0 and SW0, are intensified. There are also increasing differences in the spatial structure of tides between the two versions of simulations, especially between diurnal and semidiurnal tides at 154 km. On the disturbance days, the amplitudes of diurnal and semidiurnal tides at 154 km in the APM version are markedly greater than the corresponding values in the AIMOS version. Thus, it should be noted that the integral characteristics of the ionization function from precipitations are more important for the formation of DW and SW than its spatial structure or the features of temporal variations. A comparison of the total electron content (TEC) maps for the two versions of the simulation showed that the AIMOS version nicely reproduces the experimental data for a quiet time. The APM version is less accurate for quiet time but simulates the quantitative increase to disturbed conditions at high and middle latitudes better. For model reproduction of observed TEC variations at low and equatorial latitudes, it is not enough to consider the thermospheric source of thermospheric tides. In this case, the role of atmosphere–ionosphere coupling is very important.

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Vertical plasma transport in the ionosphere over Irkutsk during St. Patrick’s Day geomagnetic storm: Observations and modeling

Cited by 3 publications

References 28 publications

Statistical Analysis and Interpretation of High-, Mid- and Low-Latitude Responses in Regional Electron Content to Geomagnetic Storms

Statistical Analysis and Interpretation of High-, Mid- and Low-Latitude Responses in Regional Electron Content to Geomagnetic Storms

Global‐Scale Ionospheric Tomography During the March 17, 2015 Geomagnetic Storm

Energetic Particle Precipitation Influence on Tidal Variations of Thermosphere Parameters in September 2017

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