Usoskin Et Al. Discover A New Class of Sunspots

Guest Post by Willis Eschenbach

There’s a new post up by Usoskin et al. entitled “Evidence for distinct modes of solar activity”. To their credit, they’ve archived their data, it’s available here.

Figure 1 shows their reconstructed decadal averages of sunspot numbers for the last three thousand years, from their paper:

usoskin figure 2Figure 1. The results of Usoskin et al.

Their claim is that when the decadal average sunspot numbers are less than 21, this is a distinct “mode” of solar activity … and that when the decadal average sunspot numbers are greater than 67, that is also a separate “mode” of solar activity.

Now, being a suspicious fellow myself, I figured I’d take a look at their numbers … along with the decadal averages of Hoyt and Schatten. That data is available here.

I got my first surprise when I plotted up their results …

Figure 2 shows their results, using their data.

decadal sunspot numbers usoskinFigure 2. Sunspot numbers from the data provided by Usoskin et al.

The surprising part to me was the claim by Usoskin et al. that in the decade centered on 1445, there were minus three (-3) sunspots on average … and there might have been as few as minus ten sunspots. Like I said, Usoskin et al. seem to have discovered the sunspot equivalent of antimatter, the “anti-sunspot” … however, they must have wanted to hide their light under a bushel, as they’ve conveniently excluded the anti-sunspots from what they show in Figure 1 …

The next surprise involved why they chose the numbers 21 and 67 for the breaks between the claimed solar “modes”. Here’s the basis on which they’ve done it.

usoskin Figure 3Figure 3. The histogram of their reconstructed sunspot numbers. ORIGINAL CAPTION: Fig. 3. A) Probability density function (PDF) of the reconstructed decadal sunspot numbers as derived from the same 106 series as in Fig. 2 (gray-filled curve). The blue curve shows the best-fit bi-Gaussian curve (individual Gaussians with mean/σ being 44/23 and 12.5/18 are shown as dashed blue curves). Also shown in red is the PDF of the historically observed decadal group sunspot numbers (Hoyt & Schatten 1998) (using bins of width ΔS = 10).

The caption to their Figure 3 also says:

Vertical dashed lines indicate an approximate separation of the three modes and correspond to ±1σ from the main peak, viz. S = 21 and 67.

Now, any histogram has the “main peak” at the value of the “mode”, which is the most common value of the data. Their Figure 3 shows the a mode of 44, and a standard deviation “sigma” of 23. Unfortunately, their data shows nothing of the sort. Their data has a mode of 47, and a standard deviation of 16.8, call it 17. That means that if we go one sigma on either side of the mode, as they have done, we get 30 for the low threshold, more than they did … and we get 64 for the high threshold, not 67 as they claim.

So that was the second surprise. I couldn’t come close to reproducing their calculations. But that wouldn’t have mattered, because I must admit that I truly don’t understand the logic of using a threshold of a one-sigma variation above and below not the mean, not the median, but the mode of the data … that one makes no sense at all.

Next, in the right part of Figure 1 they show a squashed-up tiny version of their comparison of their results with the results of Hoyt and Schatten … the Hoyt-Schatten data has its own problems, but let’s at least take a look at the difference between the two. Figure 4 shows the two datasets during the period of overlap, 1615-1945:

comparison usoskin and hoyt sunspotsFigure 4. Decadal averages of sunspots, according to Hoyt-Schatten, and also according to Usoskin et al.

Don’t know about you, but I find that result pretty pathetic. In a number of decades, the difference between the two approaches 100% … and the results don’t get better as they get more modern as you’d expect. Instead, at the recent end the Hoyt-Schatten data, which at that point is based on good observations, shows about twice the number of sunspots shown by the Usoskin reconstruction. Like I said … not good.

Finally, and most importantly, I suspect that at least some of what we see in Figure 3 above is simply a spurious interference pattern between the length of the sunspot cycles (9 to 13 years) and their averaging period of ten years. Hang on, let me see if my suspicions are true …

OK, back again. I was right, here are the results. What I’ve done is picked a typical 12-year sunspot cycle from the Hoyt-Schatten data. Then I replicated it over and over starting in 1600. So I have perfectly cyclical data, with an average value of 42.

But once we do the decadal averaging? … well, Figure 5 shows that result:

pseudo sunspot dataFigure 5. The effect of decadal averaging on 12-year pseudo-sunspot cycles. Upper panel (blue) shows pseudo-sunspot counts, lower panel (red) shows decadal averaging of the upper panel data.

Note the decadal averages of the upper panel data, which are shown in red in the lower panel … bearing in mind that the underlying data are perfectly cyclical, you can see that none of the variations in the decadal averages are real. Instead, the sixty-year swings in the red line are entirely spurious cycles that do not exist in the data, but are generated solely by the fact that the 10-year average is close to the 12-year sunspot cycle … and the Usoskin analysis is based entirely on such decadal averages.

But wait … it gets worse. Sunspot cycles vary in length, so the error caused by the decadal averaging will not be constant (and thus removable) as in the analysis above. Instead, decadal averaging will lead to a wildly varying spurious signal, which will not be regular as in Figure 5 … but which will be just as bogus.

In particular, using a histogram on such decadally averaged data will lead to very incorrect conclusions. For example, in the pseudo-sunspot data above, here is the histogram of the decadal averages shown in red.

histogram pseudo sunspot dataFigure 6. Histogram of the decadal average data shown Figure 5 above.

Hmmm … Figure 6 shows a peak on the right, with secondary smaller peak on the left … does this remind you of Figure 3? Shall we now declare, as Usoskin et al. did, and with equal justification, that the pseudo-sunspot data has two “modes”?

CONCLUSIONS:

In no particular order …

1. The Usoskin et al. reconstruction gives us a new class of sunspots, the famous “anti-spots”. Like the square root of minus one, these are hard to observe in the wild … but Usoskin et al. have managed to do it.

2. Despite their claims, the correlation of their proxy-based results with observations is not very good, and is particularly bad in recent times. Their proxies often give results that are in error by ~ 100%, but not always in the same direction. Sometimes they are twice the observations … sometimes they are half the observations. Not impressive at all.

3. They have set their thresholds based on a bizarre combination of the mode and the standard deviation, a procedure I’ve never seen used.

4. They provided no justification for these thresholds other than their histogram, and in fact, you could do the same with any dataset and declare (with as little justification) that it has “modes”.

5. As I’ve shown above, the shape of the histogram (which is the basis of all of their claims) is highly influenced by the interaction between the length(s) of the sunspot cycle and the decadal averaging.

As a result of all of those problems, I’m sorry to say that their claims about the sun having “modes” simply do not stand up to close examination. They may be correct, anything’s possible … but their analysis doesn’t even come near to establishing that claim of distinct solar “modes”.

Regards to all,

w.

THE USUAL: If you disagree with me or someone else, please quote the exact words that you disagree with. That way, we can all understand just what it is that you object to.

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February 23, 2014 12:34 am

We might soon have the opportunity to examine these sunspots right here on Earth:
http://waterfordwhispersnews.com/2014/01/21/north-korea-lands-first-ever-man-on-the-sun-confirms-central-news-agency/

Carl
February 23, 2014 1:05 am

If I ever write a paper to do with climate, I’ll be very careful to make sure I’ve got it right before I let you see it.

February 23, 2014 1:27 am

don’t the co2ers own wiki who instal a curfew thro deletion of non co2 evidence and making sure wiki has a ‘its settled science’ narrative? which is why they like to link to it?

Réaumur
February 23, 2014 1:30 am

I doubt you will ever really observe “i” (or “j” as the sparkies like to denote it) per se, in nature
In quantum mechanics i is not just a convenience for easier calculation, but a necessary part of the description of nature. I agree that it can’t be observed directly, but the “imaginary” seems to be built in to “reality”, what ever that is!

David L
February 23, 2014 1:52 am

lsvalgaard on February 22, 2014 at 10:22 pm
David L says:
February 22, 2014 at 10:20 pm
Serious question: how do you measure sunspot activity from thousands of years ago?
See my explanation upthread at February 22, 2014 at 7:41 pm
———————————
That can’t be a very precise measurement of historical sunspot activity, can it, especially the further one goes back?

February 23, 2014 2:10 am

Reliability of the sunspot reconstructions based on C14 and 10B cosmogenic nuclide production prior to 1600 can not be taken for granted. Solar modulation potential reconstructed from the common cosmic ray intensity record is also function of the precipitation which may account possibly up to 30% of variability.
Another major obstacle is the variability in the intensity of geomagnetic dipole. I have looked at more than half a dozen different GM dipoles, prior to 1840s (Gauss magnetometer) variability between models is further 5-10% .
As Steinhilber correctly states variation on the millennial time-scale of solar modulation potential depends on the geomagnetic field. If another geomagnetic field reconstruction is used it would show another trend on millennial time scales.”
And finally:
a) Solar modulation of the cosmic ray particles is calculated by removing the effect of the geomagnetic field based on paleomagnetic data.
b) Geomagnetic field intensity is estimated from paleomagnetic data using cosmogenic radionuclide production records to eliminate solar influence.

Greg Goodman
February 23, 2014 3:10 am

“Note the decadal averages of the upper panel data, which are shown in red in the lower panel … bearing in mind that the underlying data are perfectly cyclical, you can see that none of the variations in the decadal averages are real. Instead, the sixty-year swings in the red line are entirely spurious cycles that do not exist in the data, but are generated solely by the fact that the 10-year average is close to the 12-year sunspot cycle … and the Usoskin analysis is based entirely on such decadal averages.”
Good catch Willis.
This inappropriate use of means (and running means) which amount to sub-sampling without an anti-alias step is something I’ve been moaning about for years.
Once climate science gets past high school , maybe some of these basic faults will be come less common. for the moment they are par for the course in climatology.
It would be interesting to look at this new data which some proper processing. Maybe some of the oddities like negative numbers will sort themselves out.
I can instantly see bi-modal behaviour in the PDF. A closer looks shows just a hint of a third mode higher up. I’d say they’ve got the bounds about right. Again this may become clearer with better d.p. (or it may turn out to be an artefact, though I doubt it).
Who knows, it may even start to be a better match to Hoyt and Schatten without the spurious glitches caused by the 10y means.
It’s a fine day here,so I’m off to enjoy it , may have a look at filtering later.

Greg Goodman
February 23, 2014 3:24 am

BTW doing a PDF with 10y “bins” is like hitting it with 10 y mean as well. Since the recent data is fairly fine grained, a less clumsy grouping may be better.

February 23, 2014 4:05 am

Thank you Willis and all.

björn from sweden
February 23, 2014 4:48 am

See, this is what happens when you make data available to anyone. Some bitter truth-clinger will come along and prove you wrong.
I think Phil Jones said it best, how freedom of information threatens the advancement of concensus science:
“…We have 25 or so years invested in the work. Why should I make the data available to you, when your aim is to try to find something wrong with it…”

David Norman
February 23, 2014 5:32 am

Your statement “Their data has a mode of 47, and a standard deviation of 16.8, call it 17. That means that if we go one sigma on either side of the mode, as they have done, we get 20 for the low threshold, a bit less than they did … and we get 64 for the high threshold, not 67 as they claim.” Should that not be 30 for the low threshold?
[HAIYEEE, NOT AGAIN … you are correct, sire, I’ve once again fixed my arithmetical errors, my thanks. Grrr … w.]

Rathnakumar
February 23, 2014 5:40 am

Well done again, sir!

Carla
February 23, 2014 7:57 am

As a result of all of those problems, I’m sorry to say that their claims about the sun having “modes” simply do not stand up to close examination. They may be correct, anything’s possible … but their analysis doesn’t even come near to establishing that claim of distinct solar “modes”.
——————————-
Dr. S., uses a “ceiling and floor,” to describe something similar to this paper. Perhaps he will tell us as to how he arrived at his ceiling and floor for describing different solar cycle activity levels?

February 23, 2014 8:06 am

Carla says:
February 23, 2014 at 7:57 am
Dr. S., uses a “ceiling and floor,” to describe something similar to this paper. Perhaps he will tell us as to how he arrived at his ceiling and floor for describing different solar cycle activity levels?
By inspection: slide 33 of
http://www.leif.org/research/Solar%20Wind%20During%20the%20Maunder%20Minimum.pdf
using Yogi Berra’s approach: http://www.brainyquote.com/quotes/quotes/y/yogiberra125285.html

Jenn Oates
February 23, 2014 8:10 am

Great stuff, Willis. Many thanks from this high school science teacher.

duked
February 23, 2014 8:14 am

Jean Parisot says:
February 22, 2014 at 6:48 pm
Why are we averaging relatively sparse data sets that can be visualized with today’s technology?
Lsvalgaard says: The modern sunspot data is produced [deliberately] with the technology of centuries ago.
bushbunny says:
February 22, 2014 at 7:01 pm
I can not rationalize where they got the data from for 3,000 years ago.
Lsvalgaard says: Sunspots are magnetic fields that when extended from the sun keeps some cosmic rays out of the solar system. Cosmic rays smash into Nitrogen and Oxygen atoms in the atmosphere converting them to Carbon 14 which is radioactive. Carbon is plant food, so the radioactive Carbon ends up in tree rings which we can count and so measure how active cosmic rays [and thus the Sun] were thousands of years ago.
Lsvalgaard – 2 questions – on point 1 above – do the results from this methodology come close to current measurements using today’s technology? How close?
On the second point, you partially answered above, but are their adequate controls for other inputs into the tree ring data (or can this effect be isolated?)

Carla
February 23, 2014 8:14 am

lsvalgaard says:
February 22, 2014 at 7:41 pm
bushbunny says:
February 22, 2014 at 7:01 pm
I can not rationalize where they got the data from for 3,000 years ago.
Sunspots are magnetic fields that when extended from the sun keeps some cosmic rays out of the solar system. Cosmic rays smash into Nitrogen and Oxygen atoms in the atmosphere converting them to Carbon 14 which is radioactive. Carbon is plant food, so the radioactive Carbon ends up in tree rings which we can count and so measure how active cosmic rays [and thus the Sun] were thousands of years
———————————–
Yes and those cosmic rays show a very intimate relationship, with solar activity, as well in the modern era.
Strange attractors indeed…
Thanks for the encapsulated explanation Dr. S.

February 23, 2014 8:23 am

duked says:
February 23, 2014 at 8:14 am
Lsvalgaard – 2 questions – on point 1 above – do the results from this methodology come close to current measurements using today’s technology? How close?
Today’s technology is the same as in centuries past [on purpose] so almost by definition the results should match.
On the second point, you partially answered above, but are there adequate controls for other inputs into the tree ring data (or can this effect be isolated?)
The cosmic rays also produce radioactive Beryllium [10Be] which can be found in ice cores. The 10Be and 14C records are in good agreement. The problem with Usoskin’s paper is not the 14C record [which stops in 1950 due to contamination by atom bombs in addition to the length of the long residence time of carbon dioxide in the atmosphere] but the red curve showing the flawed group sunspot number grafted onto the 14C cosmic ray record.

Jim G
February 23, 2014 8:44 am

lsvalgaard says:
But remember, Leif, that according to Yogi, “I never said most of the things I said.” Not a bad philosophy to follow considering some of the pronouncements on both sides of the global warming, climate change, or whatever it is presently called, debate.

February 23, 2014 8:54 am

Thanks, Willis. Good review of a poor paper.
You have a mind for this.

Carla
February 23, 2014 8:59 am

vukcevic says:
February 23, 2014 at 2:10 am
Reliability of the sunspot reconstructions based on C14 and 10B cosmogenic nuclide production prior to 1600 can not be taken for granted….
———————————————
Yes, this is true, the dependency on Earth’s magnetic field strength at a given time period.
But………………..
How long have we been measuring cosmic ray “intensity levels?”
When did we start measuring GCR intensitys above MeV levels to TeV and PeV? And greater?
The historical data does not reflect the various intensity levels.
Galactic cosmic rays at higher electron volt intensities, are not inhibited by the Earths magnetic field strength. This also mucks up the cosmic ray records..
Galactic cosmic rays in the terra electron volt range have gyro radius in the 100’s of AU range….eeek

Carla
February 23, 2014 9:03 am

Gee wouldn’t take lots of TeV GCR to create some gyro vortex like structures along its path ways..

February 23, 2014 9:06 am

Carla says:
February 23, 2014 at 8:59 am
How long have we been measuring cosmic ray “intensity levels?”
Accurately since 1953.
With less accuracy since 1930s
When did we start measuring GCR intensities above MeV levels to TeV and PeV? And greater?
There are so few of those high-energy ones that they don’t matter. Furthermore they do not tell us about solar modulation which is strongest at the lowest energies and disappears above 15 Gev.
The historical data does not reflect the various intensity levels.
The high-level rays don’t matter and won’t show solar modulation anyway.
Perspective, Carla. Perspective. The rattle of loose change in a billionaires pockets does not reflect her overall wealth.

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