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, 2013). Because the definition for Area-borne measurements can not be simply just adopted in addition, we chose to evaluate the patch enhancement evaluating SWARM density ratio and measurements from ALRT station (its localization close to the pole guaranties probably the most transparent patch buildings). For this purpose we made use of the mixed final results from validation time period (18–27 Oct 2014). The indicator utilized for GNSS information may be called next ratio:

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At this stage we decided to use arcs of the selected satellites only (a similar for all stations). The criterion of variety was the quantity of samples throughout the sector given in Figure 9 (commonly three–five at Every epoch) plus the observed buildings. This sort of technique minimizes the blurring of patches, connected with the primary difference in signatures for specific satellites, and ensures that the derived time series are homogenous in the interval one–two h (typical time period for each satellite).

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The applied methodology of L4 time collection processing is made of a number of actions. The place to begin of algorithm may be the detection and repair of period cycle-slips, which frequently arise at higher latitudes (Astafyeva et al.

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The Preliminary elevation mask is set to ten° in an effort to stabilize the fitting. Due to discontinuous facts at very low elevation the cleanse time sequence normally begin at about 10–fifteen°. Also, we utilized only information arcs lengthier than three h. As demonstrated in our checks, this temporal limit is way better than intervals of enhanced STEC, remaining a consequence of patch propagation. This actuality relatively helps prevent the structure (or their sequence) from filling the entire arc and we didn't observe these result inside our dataset.

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Despite the inhomogeneous distribution of receivers, which is connected to their lower number for chosen locations and land mass configuration, this protection enables the detection of unique ionospheric constructions as well as their convection.

The bottom panel of Figure six, presenting variants of the two parameters alongside midday-midnight axis, confirms the primary difference in highlighted ionospheric consequences. Since ROTI maps enable to follow variants anvelope iarna Romania of auroral oval (Cherniak et al., 2015; Sieradzki & Paziewski 2016), Determine 6c depicts its dynamic growth for the duration of the particular phases of S1 storm. The comparison of ROTI and relative STEC outcomes justifies that the previous index is much more suitable to follow auroral oval boundaries and powerful TEC fluctuation for the cusp (#5).

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This distinction was a result of a little spatial extent of sectors near the geomagnetic pole and resulted in a larger variety of samples available there. On this latter scenario (higher than eighty°) the points were being preliminarily projected on midday-midnight axis after which you can the latitudes of this sort of facts were being used to prepare Figure 6c and d. The ROTI and relative STEC ended up computed for all stations supplied in Determine four with the applying with the elevation mask equivalent to thirty°. Subsequently, they ended up transformed to MLT-AACGM latitude reference frame making use of ionosphere single layer model with top adopted at 350 km. AACGM coordinates were being computed Based on methodology proposed by Shepherd (2014).