According to the classification of the events (with LJ,
, without linked LJ,
, and without LJ,
), the first behavior to be considered was the distribution by months and hours of the three sets of QPE cells. In the case of the two first categories, the monthly distribution was quite similar (see
Figure 6), with a scarce probability of occurrence between January to April and October to December (10.9% for
and only 8.0% for
) and a maximum comprised of June to August (65.2% for
and 66.7% for
) coinciding with warm months. During this period, the high temperatures were favorable to developing clouds due to convection conditions. In the case of
, the distribution varied notably, with 60.1% of the cases spread between September and October, while for the rest of the months, only May (5.8%), June (6.6%), and November (8.0%) exceeded 5%.
Moving to the hourly distribution (
Figure 7), eighty-one-point-five percent of the cases of the
events occurred between 11 and 20 UTC, with a clear maxima between 13 and 16 UTC (more than 10% during each hour). In the case of the QPE cells
, the maxima were slightly displaced to an earlier part of the day, with 64.6% between 11 and 17 UTC and between 12 and 14 UTC with more than 10% of cases in each hour. As happened with the monthly distribution, the time occurrence of
events was again more evenly dispersed, without any hour exceeding 10%: from 12 to 17 UTC, the values moved between 7.3% and 9.8%, the rest giving out 49.5%.
Regarding the spatial distribution, the first result obtained from
Figure 8 was the high variability depending on the season of the year and the type of event. The figure shows the more representative months for each type of event (
, top row,
, middle row, and
, bottom row). The reader must note that in the case of
, only two months were representative (September and October; the rest did not have enough cases to show a clear pattern), while in the other two categories, only the more illustrating ones are shown. The first result was the influence of the Mediterranean Sea in the distribution. In the case of
, there was a high number of these event types occurring in the coastal and over the Sea regions (top panels of
Figure 8). This was because during this period (in September and October), the temperature of the Mediterranean Sea’s water remains high and contributes to the convection. It is worth noting that the spatial distribution refers to the QPE cells. Besides, the lightning and LJ warning monthly distributions presented similar patterns to the bottom row [
52,
53]. The previous charts (
Figure 6,
Figure 7 and
Figure 8) help to understand the usefulness of the tool. The LJ algorithm resulted in being very helpful for surveillance tasks during summer, afternoon, and inland events. On the contrary, as the lightning activity decreased notably, this is for coastal events during autumn, the precision of the tool decreased. For this type of case, other procedures are necessary for forecasting the heavy precipitation. This electrical behavior coincided with that observed in other regions [
54,
55]. The contrast of temperatures between the sea and the air favored the severity of the thunderstorms, and furthermore, the content of water was an important factor to be considered. The behavior of
(see the middle panel of
Figure 8) could be placed between the two other categories, with two areas (the mountainous regions of the south close to the sea and the sea area just in front of the central coast) that presented high values of occurrence. However, these values were lower with respect to the maxima obtained for the Pyrenees area, especially if we compare with the results obtained for
. On the contrary, most of the heavy rainfall
was produced in the mountain areas of the central-north of the region (bottom panel of
Figure 8) due to the essential role the terrain plays in triggering the development of thunderstorms. In this case, the sea seemed not to play any role in the occurrence of the events.