Abstract:We present the first prediction of the ionospheric response to the 14 December 2020 solar eclipse using the SUPIM-INPE model. Simulations are made for all known ionosonde stations for which solar obscuration is significant. The found response is similar to that previously reported for other eclipses, but it also shows a modification of the equatorial fountain transport that will impact the low latitudes after the event. In addition to the large reduction of electron concentration along the totality path (~4.5 … Show more
“…For an in-depth discussion on the use of SAMI3 to predict ionospheric behavior during solar eclipses, see J. D. Huba and Drob (2017) and Senapati et al (2020). A more detailed modeling effort of the predicted TEC response to this TSE can be found in Martínez-Ledesma et al (2020).…”
Section: Observations Of the 2020 Total Solar Eclipsementioning
confidence: 99%
“…A more detailed modeling effort of the predicted TEC response to this TSE can be found in Martínez‐Ledesma et al. (2020).…”
Section: Observations Of the 2020 Total Solar Eclipsementioning
Solar eclipses are known to generate changes throughout the atmosphere, from the surface of the Earth to the top of the ionosphere (Anderson, 1999). Because these changes occur as a result of the passage of the shadow of the Moon, which can be accurately predicted, the eclipse can be used as a controlled atmospheric experiment (Clayton, 1901). Since many atmospheric processes are still not well understood, solar eclipses provide valuable data to further understand atmospheric phenomena.One atmospheric effect produced by total solar eclipses (TSEs), which is now easily measured using GNSS technology, is the change in ionospheric total electron content (TEC). TSEs can generate or favor the observation of at least three TEC perturbation types. First, the umbra creates an ionospheric TEC depletion due to the obscuration of the Sun's ionizing radiation. Second, the sudden cooling of the atmosphere combined with the supersonic speed of the umbra can trigger gravity waves (
“…For an in-depth discussion on the use of SAMI3 to predict ionospheric behavior during solar eclipses, see J. D. Huba and Drob (2017) and Senapati et al (2020). A more detailed modeling effort of the predicted TEC response to this TSE can be found in Martínez-Ledesma et al (2020).…”
Section: Observations Of the 2020 Total Solar Eclipsementioning
confidence: 99%
“…A more detailed modeling effort of the predicted TEC response to this TSE can be found in Martínez‐Ledesma et al. (2020).…”
Section: Observations Of the 2020 Total Solar Eclipsementioning
Solar eclipses are known to generate changes throughout the atmosphere, from the surface of the Earth to the top of the ionosphere (Anderson, 1999). Because these changes occur as a result of the passage of the shadow of the Moon, which can be accurately predicted, the eclipse can be used as a controlled atmospheric experiment (Clayton, 1901). Since many atmospheric processes are still not well understood, solar eclipses provide valuable data to further understand atmospheric phenomena.One atmospheric effect produced by total solar eclipses (TSEs), which is now easily measured using GNSS technology, is the change in ionospheric total electron content (TEC). TSEs can generate or favor the observation of at least three TEC perturbation types. First, the umbra creates an ionospheric TEC depletion due to the obscuration of the Sun's ionizing radiation. Second, the sudden cooling of the atmosphere combined with the supersonic speed of the umbra can trigger gravity waves (
“…At these altitudes, diffusion and transport plasma processes generally dominate the ionospheric behavior, making the ionospheric response to the eclipse highly dependent on different latitudinal effects (Le et al, 2009). In particular, multiple studies have demonstrated that the ionospheric response to eclipses at equatorial and low latitudes is dominated by the fountain effect and the Equatorial Ionization Anomaly (EIA; e.g., Martínez-Ledesma et al, 2020;Bravo et al, 2020;Jonah et al, 2020;Jose et al, 2020;Cheng et al, 1992;Le et al, 2009). Furthermore, the multiple coupling processes that interact in the magnetosphere-ionosphere-thermosphere system and the internal ionospheric processes provide large variability to the ionospheric state (Sarris, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…In this study, the ionospheric response to the 14 December 2020, solar eclipse measured over South America is compared to the SUPIM-INPE model prediction made by Martínez-Ledesma et al (2020). Here, we evaluate the response along the South-American continent, covering a wide range of geomagnetic latitudes, from the Equator (e.g., Jicamarca) to mid-latitude sectors (e.g., Bahía Blanca).…”
In this work, we evaluate the SUPIM-INPE model prediction of the 14 December 2020, total solar eclipse over the South American continent. We compare the predictions with data from multiple instruments for monitoring the ionosphere and with different obscuration percentages (i.e., Jicamarca, 12.0°S, 76.8°W, 17%; Tucumán 26.9°S, 65.4° W, 49%; Chillán 36.6°S, 72.0°W; and Bahía Blanca, 38.7°S, 62.3°W, reach 95% obscuration) due to the eclipse. The analysis is done under total eclipse conditions and non-total eclipse conditions. Results obtained suggest that the model was able to reproduce with high accuracy both the daily variation and the eclipse impacts of E and F1 layers in the majority of the stations evaluated (except in Jicamarca station). The comparison at the F2 layer indicates small differences (<7.8%) between the predictions and observations at all stations during the eclipse periods. Additionally, statistical metrics reinforce the conclusion of a good performance of the model. Predicted and calibrated Total Electron Content (TEC, using 3 different techniques) are also compared. Results show that, although none of the selected TEC calibration methods have a good agreement with the SUPIM-INPE prediction, they exhibit similar trends in most of the cases. We also analyze data from the Jicamarca Incoherent Scatter Radar (ISR), and Swarm-A and GOLD missions. The electron temperature changes observed in ISR and Swarm-A are underestimated by the prediction. Also, important changes in the O/N2 ratio due to the eclipse, have been observed with GOLD mission data. Thus, future versions of the SUPIM-INPE model for eclipse conditions should consider effects on thermospheric winds and changes in composition, specifically in the O/N2 ratio.
“…The decrease in foF2 and hmF2 is notorious at stations near the anomaly's crest (RA, FZ, CP); however, it is not very significant in the stations at the magnetic equator (SL). Moreover, similar ionospheric effects were seen in distant regions in the moon's shadow [16][17][18][19][20][51][52][53][54][55][56]. Differences between foF2 and TEC may be due to the fact that foF2 was the result of the original autoscaled records, and also that TEC was calculated from a spatial average.…”
The main effects of the 10 June 2021 annular solar eclipse on GNSS position estimation accuracy are presented. The analysis is based on TEC measurements made by 2337 GNSS stations around the world. TEC perturbations were obtained by comparing results 2 days prior to and after the day of the event. For the analysis, global TEC maps were created using ordinary Kriging interpolation. From TEC changes, the apparent position variation was obtained using the post-processing kinematic precise point positioning with ambiguity resolution (PPP-AR) mode. We validated the TEC measurements by contrasting them with data from the Swarm-A satellite and four digiosondes in Central/South America. The TEC maps show a noticeable TEC depletion (<−60%) under the moon’s shadow. Important variations of TEC were also observed in both crests of the Equatorial Ionization Anomaly (EIA) region over the Caribbean and South America. The effects on GNSS precision were perceived not only close to the area of the eclipse but also as far as the west coast of South America (Chile) and North America (California). The number of stations with positioning errors of over 10 cm almost doubled during the event in these regions. The effects were sustained longer (∼10 h) than usually assumed.
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