Ionospheric and geomagnetic response to the total solar eclipse on 21 August 2017

Meza, Amalia; Bosch, G.; Natali, María Paula; Eylenstein, Bernardo

doi:10.1016/j.asr.2021.07.029

Cited by 11 publications

(13 citation statements)

References 32 publications

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“…In this section, we summarise the procedure that was used to compute VTEC values from GNSS observations; further details can be found in (Meza et al, 2021). We assume that all of the free electrons in the ionosphere are concentrated in a spherical shell of a finite thickness around Earth.…”

Section: Methodsmentioning

confidence: 99%

“…Figure 1 shows the distribution of all of the stations included in this study. Notice the sparse distribution of the GNSS stations in the Patagonia region compared with the dense coverage available for the eclipse during 2017 in North America (Meza et al, 2021). In addition to the magnetometers that were specifically placed for the observational campaign, we analyzed data from permanent geomagnetic observatories closest to the totality path.…”

Section: Permanent Station Datamentioning

confidence: 99%

“…All of the geomagnetic data was obtained from the INTERMAGNET data site. As was already described in (Meza et al, 2021), we selected the 1-min sample rate for the X, Y, Z components and total Field F.…”

Section: Permanent Station Datamentioning

confidence: 99%

“…Among the issues discussed in the literature, the study of the time delay between solar flux occultation by the moon and the response from the geomagnetic field has yielded different results. For example, delays have been found to range from about 2 to 3 min (Hvozdara and Prigancová, 2002), 14-18 min (Meza et al, 2021), and up to more than 20 min (Belikovich et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…This is achieved by means of a cylindrical coordinate system (r, ϕ, z), where the origin of the eclipse-induced conductivity spot and its z axis are normal to the Earth's surface. This approximation has been tested by performing a simultaneous analysis of the effects that the Total Solar Eclipse of 2017 in North America had on the VTEC measured from GNSS observations and its corresponding variations on the geomagnetic field, as detected by the three observatories closest to the shadow path (Meza et al, 2021). Determinations of the VTEC decrease caused by the solar eclipse and a mathematical approximation based on the Ashour-Chapman model were used to predict the geomagnetic disturbance.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Ionospheric and Geomagnetic Response to the 2020 Patagonian Solar Eclipse

Meza

Eylenstein

Natali

et al. 2021

Front. Astron. Space Sci.

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Total solar eclipses are unique opportunities to study how the ionospheric and external geomagnetic field responds to fast changes in the ionizing flux as the moon’s shadow travels through its path over the ionosphere at an average speed of 3,000 km/h. In this contribution, we describe our observing campaign in which we set up GNSS and geomagnetic stations at the city of Valcheta, Río Negro, Argentina (which was located right under the path of totality). We also describe the results obtained from the analysis of the combination of on-site data together with publicly available observations from geodetic and geomagnetic observatories. The large span in latitude of our data allowed us to analyze the different magnitudes of the drop in vertical total electron content (ΔVTEC) with varying occultation percentages. We found an expected reduction in this drop as we move away from totality path but we also detected a new increment in ΔVTEC as we got closer to Earth’s Magnetic Equator. We also compared our observations of the geomagnetic field variations with predictions that were based on the Ashour-Chapman model and we find an overall good agreement, although a ≈20 min delay with the eclipse maximum is evident beyond observing uncertainties. This suggests the presence of processes that delay the response of the lower ionosphere to the loss of the photoionization flux.

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Section: Methodsmentioning

confidence: 99%

Section: Permanent Station Datamentioning

confidence: 99%

Section: Permanent Station Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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