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.

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February 23, 2014 9:10 am

As far as Leif’s et als reconstruction of the sun spot data, I have not seen any good logic or can think of any that indicates that he is incorrect. I think he is right. But this does not mean that the sun is not the main driver for periods like the Little Ice age or that it cannot have a small impact on temperatures in other times. The Milankovitch cycles drive climate change over longer several thousand year periods of time. Shorter term variations in my view are caused by a combination of solar changes and or random effects of various other cycles like the PDO/AMO and etc. During the Little Ice age, this was a larger than normal (historically) change in the sun and had a correspondingly larger impact on climate. The earth grew cooler and I believe much of that could have been caused by the sun. However, without going through a similar period when we have better ways of measuring the solar output, it is difficult to prove this hypothesis. Exactly how the sun caused the cooling is something that has not been proved. Perhaps it is changes in cosmic rays or changes in TSI during that period. The current warm period we are experiencing is not all that warm. The long term temperature data suggests that the world is not as warm now as it was during other warm periods or even the average temperature over a several thousand year period during the Holocene climate optimum. So, there is no need for any grand maximum of sun spots to explain the gradual warming from the Little Ice Age. All that is needed is average solar conditions for long enough to allow the earth to gradually warm back to the “average conditions” of the last few thousand years keeping in mind that there are significant temperature variations caused by changing climate cycles that cause shorter term cool and warm fluctuations that last a few decades. Climate alarmism is of course total rubbish.

February 23, 2014 10:21 am

BobG says:
February 23, 2014 at 9:10 am
The Milankovitch cycles drive climate change over longer several thousand year periods of time.
But those cycles are MUCH larger than solar activity cycles.

February 23, 2014 10:26 am

BobG
But this does not mean that the sun is not the main driver for periods like the Little Ice age or that it cannot have a small impact on temperatures in other times.

One thing that is interesting is that weather patterns can set up in a rather persistent manner for a while. For example, when we have a more “zonal” flow where the jets are going more or less west to east in the Northern Hemisphere, we get a rather “average” sort of year. Storms come in from the Pacific, track across the US, exit over the Atlantic. When we get into a situation where we have a more meridional flow, a flow that looks more like a sine wave, we can end up with more extreme conditions. And this is why taking continental averages can be somewhat misleading. If we have a meridional flow the continental average can be nominal yet we can see in that average extremely cold and extremely mild regional conditions.
The other thing is that while we could have a meridional flow, the phase of it matters, too. Shift that sine-ish pattern a couple of hundred miles to the east or west and you can change things dramatically. The drought in California has been caused by such a flow where the moisture from the Pacific down around Hawaii (“Pineapple Express”) was pushed at times due north into Alaska giving them very mild, very wet conditions while California has stayed dry due to those “atmospheric rivers” being pushed northward by a rather persistent ridge of high pressure. The moisture is still there, it just isn’t going where it normally goes. Push that phase a bit father to the east and California would have been positively inundated with rain this winter. If the ridge of high pressure had set up over the Rockies instead of just offshore of California, it would have made a huge difference.
By the same token, the “negative” portion of that sine-ish pattern has brought cold air down across the central plains and it has made it extremely cold across the great lakes region. I don’t have access to enough historical data to check this but I would wonder if more meridonal flow is more common when the ENSO values are neutral. We have had neutral-ish conditions for a rather long time and this is two winters in a row where we have had roughly the same sort of conditions off the west coast with a ridge of high pressure which has diverted the moisture to the north.

Carla
February 23, 2014 11:14 am

lsvalgaard says:
February 23, 2014 at 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.
—————————————-
Ok, 15 GeV..
So, anything above 15 GeV is not modulated by Sun or Earth? Just free range of what gyro radius? So the ice core or tree ring has no idea whether or not it was a 1GeV or 5 GeV or 1 TeV?
We have about 5 operations like Milagro and ICE CUBE since 2000’s? that have been able to measure GCR above the 15 GeV level and above?
Thank you Dr. S.

February 23, 2014 11:26 am

Carla says:
February 23, 2014 at 11:14 am
So the ice core or tree ring has no idea whether or not it was a 1GeV or 5 GeV or 1 TeV?
There are so few TeV cosmic rays that almost none would be registered, so if you see a cosmic ray there is almost no chance it is a TeV one.
We have about 5 operations like Milagro and ICE CUBE since 2000′s? that have been able to measure GCR above the 15 GeV level and above?
sure, and they are HUGE because the very high energy cosmic rays are so rare, which is also why they have no measurable effect on anything even vaguely related to solar activity or climate. So are completely irrelevant for this [although interesting in themselves for the question of the origin of cosmic rays].

Matthew R Marler
February 23, 2014 11:30 am

Here is another introduction to estimating pdf via mixtures,, with specific reference to R:
http://exploringdatablog.blogspot.com/2011/08/fitting-mixture-distributions-with-r.html.

February 23, 2014 12:29 pm

For the record here is a comparison of the Hoyt and Schatten Group Sunspot Number [blue] and Our Preliminary Revision [red] of the Group Sunspot Number. We are still working on the pre-1749 data. Little circles and triangles show decadal averages:
http://www.leif.org/research/HS-and-Revised-GSN.png
Here is the method we are using: http://www.leif.org/research/Reconciling-Group-and-Wolf-Sunspot-Numbers.pdf

Anto
February 23, 2014 12:30 pm

Not very much “peer review” done on this one, was there?
….Or, perhaps there was.

February 23, 2014 12:58 pm

Anto says:
February 23, 2014 at 12:30 pm
Not very much “peer review” done on this one, was there?
Which one? Always refer to what you are commenting on.

Carla
February 23, 2014 1:09 pm

Well, I did have to do a little history on the higher eV GCR and our measurement of them.
<100 GeV Nagashima et al. (1998) Hall et al. (1999)
4 TeV Tibet ASγ Amenomori et al. (2006)
10 TeV Super Kamiokande Guillian et al. (2007)
4 TeV ARGO-YBJ Zhang et al. (2009)
5 TeV Milagro Abdo et al. (2009)
20 TeV IceCube Abbasi et al. (2010)
So, like the change in interstellar wind direction, these higher eV GCR could have also recently changed in quantity..

February 23, 2014 1:11 pm

Carla says:
February 23, 2014 at 1:09 pm
So, like the change in interstellar wind direction, these higher eV GCR could have also recently changed in quantity..
Neither have any effect on the Earth on the Sun, so try to regain some perspective.

February 23, 2014 1:48 pm

Purpose of solar reconstructions is in the main to quantify the solar influence on the Earth’s climate and to distinguish between the different forcings, so that climate model simulations can reproduce climate trends more accurately, or that is what they say.
In this graph (with Anthony’s permission)
http://www.vukcevic.talktalk.net/USL.htm
I compare Usoskin’s SSN, Steinhilber’s TSI and Loehle’s global temperature.
You can make your own estimate of how good or adequate they are.

Hank Mccard
February 23, 2014 2:03 pm

Lance Wallace says:
February 22, 2014 at 7:32 pm
In defense of JorgeKafkazar’s statement, I too was trained in astrophysics, and our general mantra was that “1=10″–that is, if we could estimate the energy of a blue giant as exp(55+-1) ergs we were happy
A nit but, AFAIK, exp(2) = 7.389 and exp(2.3026) ~ 10

Lars P.
February 23, 2014 3:12 pm

Latitude says:
February 22, 2014 at 3:42 pm
Figure 1 shows their reconstructed decadal averages of sunspot numbers for the last three thousand years…..
serious question?……how is that possible?

I guess this from the abstracts explains it:
“Methods. We present a new adjustment-free, physical reconstruction of solar activity over the past three millennia, using the latest verified carbon cycle, 14C production, and archeomagnetic field models.”

Matthew R Marler
February 23, 2014 3:13 pm

Willis Eschenbach: However, I’m generally cautious about ascribing anything to “mixtures”.
Me too. That’s why I agreed that the paper had little evidence for more than one category of sunspot activity. It explains, I think, where there figures for mean/mode and sd came from.
They did fit the mixture to an actual empirical density, which we already know a sine curve is not.

Konrad
February 23, 2014 3:24 pm

BobG says:
February 23, 2014 at 9:10 am
————————————
It is notable that the high priests of the Church of Radiative Climatology have no solid explanation for recorded historical events such as the Medieval Warm Period or the Little Ice Age. They prefer to erase these events from their adjusted records with hockey sticks and other religious iconography.
While Willis’ issues with the paper here discussed are valid, Leif’s dismissal of the possibility of significant solar influence on climate is considerably less robust.
To illustrate this point, consider the oceans. The priests of the Church of Radiative Climatology have decreed that direct solar SW alone does not have the power to heat our oceans above freezing. They support this conclusion by using instantaneous radiative flux calculations using average solar radiation at the oceans surface, instead of calculating for SW heating at depth in a diurnal cycle where radiation peaks at over 1000 w/m2.
Empirical experiment shows a very great difference in average temperatures between intermittent SW heating at depth in transparent materials than averaged SW heating at the surface of opaque materials. Direct solar SW alone has the power to warm our oceans and sacred downwelling LWIR need not be invoked to keep them from freezing.
If the high priests of the Church of Radiative Climatology do not understand even the basic physics of how the sun heats our oceans, how reliable is their gospel that solar variation has little influence on climate?

Lars P.
February 23, 2014 3:27 pm

Willis says: “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. “
If I correctly remember Leif was mentioning that also when there have been no sunspots, the Sun still has a certain magnetic activity but it did not reach the level to form a sunspot.
I guess the negative numbers come from the difficulty to model a decrease in magnetic activity from zero sunspots (as the number is still zero but there are still variations in the magnetic activity.) which was then zeroed in real sunspots numbers?
This my two cents…

Anto
February 23, 2014 6:09 pm

@lsvalgaard – Yes, fair point. I was referring to Usoskin et al.

L.J. Neutron Man
February 23, 2014 6:32 pm

I believe the total Solar cycle is closer to 22 years. For an accurate Nyquist or Fourier analysis, a minimum sampling rate of slightly greater than 2n is required which would be closer to 50 years to prevent distortion of the resultant.

Dudley Horscroft
February 23, 2014 8:59 pm

Yogi Berra’s view on CAGW:
“In theory there is no difference between our climate warming predictions and actual temperatures. In practice there is.”
Yogi Berra
Read more at http://www.brainyquote.com/quotes/authors/y/yogi_berra.html#3eM3F0WIIUpmvXK6.99

Dudley Horscroft
February 23, 2014 9:03 pm

Willis Eschenbach says:
February 23, 2014 at 2:03 pm
Willis, I believe that your strawberry and lime (not plain vanilla) curves may have come from an axis-shifted record of passenger numbers from any large transit operation. Perhaps NYCTA? But is it not misleading to think of negative passengers?

Konrad
February 23, 2014 11:22 pm

Willis Eschenbach says:
February 23, 2014 at 8:17 pm
————————————-
My comment was posted in response to BobW, however you have chosen to step up to the plate. No matter. Batter up!
“So before making further untrue claims, you should actually run the numbers on the actual observations so you can check your numbers. Having done so myself, I can assure you that the downwelling solar radiation at the surface is nowhere near enough to explain the temperature at the ocean. And yes, this is including the SW heating at depth, and the peak radiation during the day.”
Willis, I am not making “untrue claims”. You always say “run the numbers” and I always say “run the empirical experiment”. After all the numbers are no use if you do not understand the fundamental physics. You have shown time and again that you do not. You still persist with the view that incident LWIR can heat or slow the cooling rate of liquid water that is free to evaporatively cool. Now you seem to be claiming that the oceans would freeze in the absence of downwelling LWIR. I have run the empirical experiments and I have clearly claimed –
“Empirical experiment shows a very great difference in average temperatures between intermittent SW heating at depth in transparent materials than averaged SW heating at the surface of opaque materials.”
What does “averaged SW heating at the surface of opaque materials” equate to? Could it be applying SB calculations to the surface of the oceans?
Willis, Anthony Watts, the host of this site, started his journey with empirical experiment and observation. It is your influence that has steered back to applying instantaneous radiative flux calculations to moving fluids and transparent materials where calculating non-radiative energy transports is critical.
You have chosen to step up to the plate. I cannot be blamed for disruptive behaviour this time. I stated –
“Empirical experiment shows a very great difference in average temperatures between intermittent SW heating at depth in transparent materials than averaged SW heating at the surface of opaque materials.”
Batter up! Is my claim “untrue” Willis?