Calibration or Actual Spike? (w/ New Radiation Spikes in Latvia & Austria)

(Though I don’t think it always applies (as that would make their disclaimer rather orwellian), do make sure to read EURDEP’s disclaimer anyhow.  The gist of it is this:  It all means nothing. Ever.  All is well.  Always.)

In this blog post I will look at some calibration spikes, but I start with a record uptick / disturbance in Latvia:

  • 24 hour data (gamma radiation at ground level @ Salaspils, Latvia (Latvija). 
Salaspils_Latvia

A bit of everything in 3 hours: glitch dots, lowered baseline, data gaps, to eventually continue as an apparently fine-functioning monitor…

2500 nanoSievert/hr (nSv/h) = 2.5 µSv/hr

  • For context:  See last half year of related posts.  Something’s up.  Either Fukushima is majorly out of control, and upper tropospheric air is carrying the radionuclides far and fast by way of the jet stream, causing upticks on ground monitors sporadically  (though suspected to rather often be hidden by ‘data gaps’, courtesy of rigged data processing).  Disturbances, such as the one shown above do not look anything like a calibration.   So it’s caused by ‘something’, radioactive particles in the air, natural or unnatural, or mixed.  A spike thát significant is unlikely to be natural.

So, I say it’s either Fukushima (still), or… there has been a major accident that has yet to be admitted to.

Salaspils, Latvia data in half-year perspective (with EURDEP’s standard 400 nSv y-axis):

S_L_1S_L_2

Related?:  Yesterday (in the same 24 period) there was record spike in northern Sweden, , there have been record spikes in southwestern UK, data gaps all over the place (example from Croatia), and last month there was even a most-curious detection of (!!!)–>  Ruthenium-103 in southern Norway.

A flash back at this week’s 5 main spikes (circled), discussed further below:

Gamma_1week_max_Feb16_2016_2350UTC

Showing the circled monitor’s 1 WEEK data, from North to South:

  • Karesuando, Sweden:

ChartImg.axd

  • Salaspils, Latvia:

LatviaNearRiga

  • Exeter, UK:

ExeterUK

  • Papa Repuloter, Hungary:

Hungary

Also in Hungary, but earlier (showing MONTH data):

Hungary2Hungary3

  • And then,-“this just in” – a spike in Laa/Thaya, Austria, discussed in more detail further below:

NorthEastAsutria

Also in Austria, but earlier (showing MONTH data, shared in previous posts already as well):

48.16

  • AND THOSE TWO OTHER MAROON DOTS?

– The maroon dot in Italy (top map)  is a monitor in Tuscany that’s just calibrated/ set up to show a high reading.  It’s always like that (plus the occasional data gap, of course…); MONTH data:

ChartImg-4.axd

– And that one maroon dot in Lithuania is a just a calibration, as far as I can tell,  Why they don’t turn off the data stream when they calibrate, with a little note or symbol or something to point that out, seems just stupid to me, but anyhow…  Why I consider that a calibration, see further below.

ChartImg-6.axd

CallibrationCLusterCalibrations practically always show the very same pattern of 3-4 dots that go to a certain height (most often 560 nSv/h); Compare this most recent one to some other ones from earlier in the month, all in Lithuania as well:

–> Calibration Cluster in Lithuania; 6 examples:

6callibrationsLithuania

Obvious calibrations, as far as I can tell.

Now, which of 5 upticks shown all the way at the top (and circled on the EURDEP map) might still be a calibration, and not a “glitch dot” of significance?  The one in Latvia obviously isn’t, way too erratic and spread over several hours, but some of the single isolated “glitch dots” COULD be.  For instance, those two glitch dots that both reached about 13 µSv/hr (in Hungary and that most recent one in Austria), are those calibrations or true “glitch dots”?    How can you tell?

One of the reasons why I suspect they’re actual measurements is these isolated high values tend to come during periods that are sprinkled with data gaps.   You can’t see those if you look at week or month data.  You have to look at 1-day or 2-day graphs to spot ’em.

Here’s 4 times two-day graphs for that Laa/Thale spike in Austria, pasted together (all data ‘non-validated’), and you can see that the super-high “glitch dot” (highlighted in blue, dot not shown, as I kept the y-axis at 400 nSv) is happening within 6 days saw 8 data gaps, which could all be hiding “glitch dots” (isolated spikes):

DataGapSprinklerON_Laa

I’m bringing this up because I see (in blog trafic) that there’s  couple folks looking at what I post and I want you to know that there’s a lot I don’t know, but also that when I make an assumption (such as about the significance of “glitch dots”), that I have my reasons for that.

Aside the data gaps during the same periods, another reason is seeing a data gap at the exact same time on a monitor close to a monitor that showed such an isolated high value.

An example from last fall (shared before @ (Oct. 31, 2015) EURDEP: Of Data Gaps and “the Sound of One Maroon Dot…” (Germany, Netherlands, Poland, Lithuania, Russia, Latvia, Sweden, Finland DATA)):

A spike (in this case with 3 high values)…

muehlheim-kaerlich_germany_weekpreoct2015_spikewithindisturbance_validated

… sometimes happens during days that have disturbances.  In this case the spike coincides with the disturbance:

mk_wospike

However, on some nearby monitors, no spike is measured:

mkother

Yet on many other nearby monitors, the majority in fact, the spike-time shows a data gap:

mkother2

In other words: the highest spikes may actually be happening when there’s nothing to be seen on these RIGGED official radiation monitoring networks…

wolken

Alright.  Hope that helped to clarify why I do not dismiss these super-high isolated values.

— — — — — — —   — — —  — — —   — — — — — — —

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6 Responses to Calibration or Actual Spike? (w/ New Radiation Spikes in Latvia & Austria)

  1. hadia says:

    Oh, oh, Austria spikes? oh, oh, Mülheim-Kärlich spikes?!Too much of a good thing or?! How are spikes in Belgium presently?

  2. MVB says:

    Check the date on the Mülheim-Kärlich spikes / data gaps. I used those to make my point about data gaps (as I have before).

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