Ionospheric response of St. Patrick’s Day geomagnetic storm over Indian low latitude regions

Chaurasiya, Sunil Kumar; Patel, Kalpana D.; Kumar, Sanjay; Singh, Abhay Kumar

doi:10.1007/s10509-022-04137-3

Cited by 6 publications

(1 citation statement)

References 94 publications

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“…The propagation of radio links between satellites and the ground, which play critical roles in contemporary communications, navigation, and surveillance technologies, departs from free space circumstances in a variety of ways, with significant ramifications for the service's dependability and accuracy [15]. Over the years several studies on the behaviours of ionosphere due to solar flares, coronal mass ejections, geomagnetic storms and solar eclipses were made over different regions of ionosphere [16][17][18][19][20][21][22][23][24]. The responses of ionospheric TEC indicate both the positive and negative ionospheric effects as a result of space weather alerts such as solar flares, coronal mass ejections, and geomagnetic storms.…”

Section: Introductionmentioning

confidence: 99%

Responses of Total Electron Content to Solar Flares over Low and Mid-Latitude Regions during Sun Halo Day

Idosa,

Adhikari,

Shogile

2023

J. Nep. Phys. Soc.

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The responses of total electron content (TEC) to solar flares over low- and mid-latitude regions during the sun halo days were investigated. The research is based on GPS data obtained from Bangalore (13.02117°N, 77.57038°E) on May 24, 2021; Cape Town (-33.918861°N, 18.423300°E) on October 26, 2020; and North Dakota (46.55756°N, -96.472300°E) on December 27, 2021, during the solar halo days. The results of this study demonstrate that the values of TEC increased at Bangalore and Cape Town stations during solar halo days as compared to other days. However, over the North Dakota station, TEC during the sun halo day was greater than that on the days before and after the halo day from around 19:00 UT to 23:59 UT hours. During the sun halo over Bangalore and Cape Town stations, positive relative changes in TEC prevail, suggesting that the action of the interplanetary electric field, the prompt penetration electric field, and the disturbance dynamo electric field lead to higher TEC values. However, during the sun halo over North Dakota station, negative relative changes in TEC prevail, which might be related to the consequence that low solar activity with no earth’s field disturbances (a positive Dst) leads to lower ionospheric TEC values. Stations that have greater relative changes in TEC have shown greater power spectrum and global wave spectrum energy. Cape Town has a greater relative change in TEC, a greater power spectrum, and a larger global wave spectrum than Bangalore and North Dakota stations. The values of TEC over three stations are different due to the latitudinal and longitudinal differences in addition to the universal time effects. Finally, solar flares have a major influence on ionosphere electrodynamics, and the upward drift velocity of ionospheres at the low latitude station is more strongly influenced by solar flares due to the effects of the ExB drifts, which induce TEC disturbances during the halo days over the suggested stations.

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Section: Introductionmentioning

confidence: 99%

Responses of Total Electron Content to Solar Flares over Low and Mid-Latitude Regions during Sun Halo Day

Idosa,

Adhikari,

Shogile

2023

J. Nep. Phys. Soc.

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GRIMS: global and regional ionosphere monitoring system

Ozdemir,

Alcay,

Ogutcu

et al. 2024

GPS Solut

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The ionosphere shows regular changes such as daily, 27 days, seasonal, semi-annual, annual, and 11 years. These changes can be modeled and their effects largely determined. However, in addition to regular changes, irregular changes occur in the ionosphere due to space weather conditions, natural disasters, and human-induced irregularities. GNSS is one of the instruments along with many others that can give a piece of information on the ionospheric state. Various indices/parameters are used to determine the effect of space weather conditions. The well-known ones are solar activity indices, geomagnetic storm indices, magnetic field components, proton density, and proton flux parameters. It is important to take all of these indices into consideration when investigating the source of the anomaly. Considering only some of them may lead to incorrect inferences about the source of possible anomalies. To carry out comprehensive research in this field, it is necessary to analyze a very large data set. This indicates the requirement for an automatic system. With the Global and Regional Ionosphere Monitoring System (GRIMS) designed within the scope of this study, the ionosphere can be monitored globally and regionally. The GRIMS is online at https://www.online-grims.com/. By using Global ionospheric maps and GNSS receiver data, global, regional, and station-specific anomalies can be detected regularly through methods such as HDI (Highest Density Interval) and ARIMA (Autoregressive Integrated Moving Average). GRIMS gathers space weather-related parameters from ionospheric data centers to help users interpret the situation, and it allows users to download the results and request data for specific days. The details of the experimental results and output products of the system designed during the geomagnetic active days of March 17, 18, 2015 are given in this paper. Moreover, geomagnetic active days that occurred between 2000 and 2023 are given in the GRIMS.

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Total electron content forecasting with neural networks during intense geomagnetic storms of the solar maximum and moderate years of solar cycle 24 in the low latitude Indian region

Chaurasiya,

Patel,

Singh

2023

Astrophys Space Sci

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Ionospheric response of St. Patrick’s Day geomagnetic storm over Indian low latitude regions

Cited by 6 publications

References 94 publications

Responses of Total Electron Content to Solar Flares over Low and Mid-Latitude Regions during Sun Halo Day

Responses of Total Electron Content to Solar Flares over Low and Mid-Latitude Regions during Sun Halo Day

GRIMS: global and regional ionosphere monitoring system

Total electron content forecasting with neural networks during intense geomagnetic storms of the solar maximum and moderate years of solar cycle 24 in the low latitude Indian region

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