After 25 days without a single sunspot, the longest stretch of spotlessness, on June 24, there appeared two ephemeral active regions: 2742 and 2743. Both of these active regions were from the old solar cycle 24 as seen by their +/- polarity.
While AR2742 appears to have decayed almost immediately as soon as it appeared, AR2743 hung on for one to two more days.
Today, June 26, it appears that both have vanished. We will know more in a few hours. View: https://www.thesuntoday.org/the-sun-now/
Something seems to be coming around the East limb of the sun. We will know in a day or two, but most likely it is only a plage, the shell of a former active region. These plages are common during a solar minimum.
Jun 2019 – stats from Astronomers - my comments follow
2019 06 01 2019.415 0 0.0 38 41 + 2 previous days w/o spots
2019 06 02 2019.418 0 0.0 35 39
2019 06 03 2019.421 0 0.0 35 37
2019 06 04 2019.423 0 0.0 34 36
2019 06 05 2019.426 0 0.0 30 32
2019 06 06 2019.429 0 0.0 33 35
2019 06 07 2019.432 0 0.0 31 32
2019 06 08 2019.434 0 0.0 32 33
2019 06 09 2019.437 0 0.0 29 31
2019 06 10 2019.440 0 0.0 34 35
2019 06 11 2019.442 0 0.0 37 41
2019 06 12 2019.445 0 0.0 31 33
2019 06 13 2019.448 0 0.0 36 38
2019 06 14 2019.451 0 0.0 33 36
2019 06 15 2019.453 0 0.0 32 34
2019 06 16 2019.456 0 0.0 35 37
2019 06 17 2019.459 0 0.0 34 36
2019 06 18 2019.462 0 0.0 33 35
2019 06 19 2019.464 0 0.0 32 35
2019 06 20 2019.467 0 0.0 31 33
2019 06 21 2019.470 0 0.0 36 38
2019 06 22 2019.473 0 0.0 30 33
2019 06 23 2019.475 0 0.0 30 36 – 6 outliers; spot @ 2215 UT
2019 06 24 2019.478 11 7.3 31 37 – very hi std; 6 outliers
2019 06 25 2019.481 12 1.5 25 35 – 10 outliers
Estimated International Sunspot Number (EISN)
For June 24 = 11 with a standard deviation of 7.3 (very high) and 6 outliers
For June 25 = 12 with a standard deviation of 1.5 (low) but with 10 outliers
Outliers are stats that do not fit the curve, and therefore are deleted.
When there are 5 outliers or more, that is significant, especially with only 30 observers,
as the deletion of these outliers may cause significant errors with such a small number
of astronomical stations reporting.
Cloudy days impede astronomical observations. If the astronomers are all from the same
area, then that will also skew the results. Hence some of those stations will have to have
their data deleted. For example, Arizona is known for its sunny days, good conditions for
observing the sun. If 10 of the 30 observation stations are from Arizona on a given day,
then that would not be a very good sampling as a worldwide sampling is needed for
scientific accuracy.