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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Tom
February 28, 2014 5:24 pm

Willis
Re my February 26, 2014 at 1:38 pm
Willis,
I haven’t seen a reply to my post with the above time stamp, or any posts after Konrad’s February 26, 2014 at 8:33 pm. I would appreciate a considered response.
What say you to the folly of trying to numerically equate terrestrial flux output with solar flux input, given the 2 x factor difference in area involved and the crucial T^4 relationship via the SB law?
Sincerely,
Tom.

March 1, 2014 3:22 am

Willis , you are the first specialist who deals with finding the causes of climate change , which has decided to come down to my level of knowledge of the causes of climate change . I see that you and the other is not clear what I want to achieve this my request. My response is gradually becoming clearer for anyone who wants to join in my understanding of the true causes of climate change . I have some indicators that confirm the cause. Everything is up to date explored in this direction , it gave the right answers . I offer some ideas that , in my opinion , can give quite true causes of these phenomena. Since this is a level of knowledge and solutions enormously important , so far unsolved mysteries , not normal that I ‘m offering free of charge , especially since some people rich on erroneous and fraudulent ideas. I offer a contractual obligation to resolve this issue . If this is not my true bugs , in my own theory will find more than worth the cost of the enterprise. If there is interest in knowing the truth the causes of climate change , why there is not an institution that wants to help to solve it for the benefit of mankind ?

Tom
March 1, 2014 3:51 am

Willis February 28, 2014 at 5:51 pm
Thanks for the reply. I won’t reciprocate the somewhat smug, patronising tone in this one. You simply don’t, or can’t, appreciate the reality of the physics of the earth/sun system. Instead of dealing with the physical fact that only half of the globe is illuminated at any one time, you alter this reality to an invented one. The invention doubles the surface area lit by the same sun.
From that point on, any such model is physically meaningless. Any logic which flows from it is physically meaningless, as are any conclusions drawn from it – because none of it is actually happening in reality.
In real physics, matter which is affected by energy reacts instantaneously. It does not decide to hang around until an ‘average’ develops. If you deal in reality, one half of the globe gets appropriately hot for the energy hitting it. In your averaged delusion, your sunlight is cold – too cold to melt ice or evaporate water That is precisely the absurdity which results from such “a profound misunderstanding” of the actual physics of the system.
I congratulate you on your announcement of a new law in physics: the Willis Eschenbach Law of Conservation of Energy … Flux”. By the way, your ‘thought experiment’ analogy is DOA. You forgot to rotate the planet, again.

Tom
Reply to  Willis Eschenbach
March 1, 2014 11:37 am

Willis March 1, 2014 at 10:34 am
All very intriguing Willis. Especially this bit:
“Averages have worked for scientists for centuries, I see no reason to stop using them now”.
By that statement, if you had your top half in a furnace, and your bottom half in a freezer, on average, you’d be fine, I presume. Or you could solve a constant thrust, reducing mass, calculation for a space launch by using the average of the mass of the craft at launch and at orbital entry. Good luck with both of those.
In your flat earth, constantly lit paradigm, we are to believe the absurd notion that direct sunlight can’t generate enough heat at the earth’s surface to melt ice and evaporate water (‘average’ temp = -18C). But that’s ok, so long as the fluxes are artificially equalised by pretending the entire globe is always in daylight.
You could probably pick up a Nobel prize for that sort of tosh – hang on a minute …

Tom
Reply to  Willis Eschenbach
March 1, 2014 1:08 pm

Willis, how ironic. You are doing precisely what you accuse me of doing (using averages in such an inappropriate manner).
You are halving the actual solar input flux, by pretending the earth is flat and all of it is constantly lit by the sun, which is obviously not the case. With the associated T^4 relationship, a gross error is induced by using the flux-conserved temperature, instead of the energy-conserved temperature which is actually generated at the surface.
You may not be a physicist Willis, but you are not stupid. Why can’t you see this? What would it take for you to confront and accept this physical reality, which is entirely in keeping with the Law of Conservation of Energy?

Tom
Reply to  Willis Eschenbach
March 1, 2014 2:33 pm

Willis March 1, 2014 at 1:33 pm
Willis, I’m trying to get you to address the fundamental behaviour of matter and energy in an actual physical arrangement. You give me a piece on the arithmetic mean in a demographic context.
I will concede you this working-out of an average: the linearly averaged solar flux which is actually incident on half of the globe at any instant is 480 W/m^2. This can generate a linearly averaged temperature of +30C. This is real, Willis, unless you’d care to contest the SB law.
Any other arrangement is not real. It is imaginary. It doesn’t exist. If you follow the numbers in this method, you can preserve the arithmetic which ‘shows’ that flux in = flux out – BUT – you do not preserve the physics of the actual arrangement.
If you genuinely can’t see this, then maybe I spoke too soon.

Tom
Reply to  Willis Eschenbach
March 2, 2014 12:40 am

Willis March 1, 2014 at 2:33 pm
“However, if you think getting an average of 480 W/m2 half the time is somehow different than getting an average of 240 W/m2 all the time, I’m not sure what I can say …
No, Willis. It isn’t “somehow” different. It is fundamentally different. Averages are useful, up to the point where an absurdity is created, For example, if it takes a woman 9 months to gestate a baby, you don’t get the baby in 4.5 months if you put 2 women on the job. Or if an aircraft needs 10,000ft of runway to get airborne, there’s no point in offering the captain 2 x nearby 5,000ft runways.
Meanwhile, back to your flat earth, cold sun absurdity: the plain fact is that +30C ≠ -18C. The former is sufficient to spontaneously generate and sustain the water cycle; the latter isn’t. You just can’t skip over this large difference which is caused by that T^4 relationship. You arrive at that absurdity by wrongly conserving energy flux, instead of conserving energy. You conduct a successful arithmetic operation by your pseudo-scientific method, but the patient (physical reality) dies. If you can’t, or won’t, see this, then I don’t know what to say.

Tom
Reply to  Willis Eschenbach
March 2, 2014 1:02 am

Always happy to highlight the difference between real and pseudo science Willis. You’re welcome.

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