Sunspots and Sea Level

Guest Post by Willis Eschenbach

I came across a curious graph and claim today in a peer-reviewed scientific paper. Here’s the graph relating sunspots and the change in sea level:

sea level change and sunspots

And here is the claim about the graph:

Sea level change and solar activity

A stronger effect related to solar cycles is seen in Fig. 2, where the yearly averaged sunspot numbers are plotted together with the yearly change in coastal sea level (Holgate, 2007). The sea level rates are calculated from nine distributed tidal gauges with long records, which were compared with a larger set of data from 177 stations available in the last part of the century. In most of the century the sea level varied in phase with the solar activity, with the Sun leading the ocean, but in the beginning of the century they were in opposite phases, and during SC17 and 19 the sea level increased before the solar activity.

Let me see if I have this straight. At the start of the record, sunspots and sea level moved in opposite directions. Then for most of the time they were in phase. In both those cases, sunspots were leading sea level, suggesting the possibility that sunspots might affect sea level … except in opposite directions at different times. And in addition, in about 20% of the data, the sea level moved first, followed by the sunspots, suggesting the possibility that at times, the sea level might affect the number of sunspots …

Now, when I see a claim like that, after I get done laughing, I look around for some numerical measure of how similar the two series actually are. This is usually the “R2” (R squared) value, which varies from zero (no relationship) to 1 (they always move proportionately). Accompanying this R2 measure there is usually a “p-value”. The p-value measures how likely it is that we’re just seeing random variations. In other words, the p-value is the odds that the outcome has occurred by chance. A p-value of 0.05, for example, means that the odds are one in twenty that it’s a random occurrence.

So … what did the author of the paper put forwards as the R2 and p-value for this relationship?

Sad to relate, that part of the analysis seems to have slipped his mind. He doesn’t give us any guess as to how correlated the two series are, or whether we’re just looking at a random relationship.

So I thought, well, I’ll just get his data and measure the relationship myself. However, despite the journal’s policy requiring public archiving of the data necessary for replication, as is too common these days there was no public data, no code, and not even a Supplementary Online Information.

However, years of messing around with recalcitrant climate scientists has shown me that digitizing data is both fast and easy, so I simply digitized the graph of the data so I could analyze it. It’s quite accurate when done carefully.

And what did I find? Well, the R2 between sunspots and sea level is a mere 0.13, very little relationship. And even worse, the p-value of the relationship is 0.08 … sorry, no cigar. There is no statistically significant relationship between the two. In part this is because both datasets are so highly auto-correlated (~0.8 for both), and in part it’s because … well, it’s because as near as we can tell, sunspots [or whatever sunspots are a proxy for] don’t affect the sea level.

My conclusions from this, in no particular order, are:

• If this is the author’s “stronger effect related to solar cycles”, I’m not gonna worry about his weaker effect.

• This is not science in any sense of the word. There is no data. There is no code. There is no mathematical analysis of any kind, just bald assertions of a “stronger” relationship.

• Seems to me the idea that sunspots rule sea level would be pretty much scuttled by sunspot cycles 17 and 19 where the sea level moves first and sunspots follow … as well as by the phase reversal in the early data. At a minimum, you’d have to explain those large anomalies to make the case for a relationship. However, the author makes no effort to do so.

• The reviewers, as is far too often the case these days, were asleep at the switch. This study needs serious revision and buttressing to meet even the most minimal scientific standards.

 • The editor bears responsibility as well, because the study is not replicable without the data as used, and the editor has not required the author to archive the data.

So … why am I bothering with a case of pseudo-science that is so easy to refute?

Because it is one of the papers in the Special Issue of the Copernicus journal, Pattern Recognition in Physics … and by no means the worst of the lot. There has been much disturbance in the farce lately regarding the journal being shut down, with many people saying that it was closed for political reasons. And perhaps that is the case.

However, if I ran Copernicus, I would have shut the journal down myself, but not for political reasons. I’d have closed it as soon as possible, for both scientific and business reasons.

I’d have shut it for scientific reasons because as we see in this example, peer-review was absent, the editorial actions were laughable, the authors reviewed each others papers, and the result was lots of handwaving and very little science.

And I’d have shut it for business reasons because Copernicus, as a publisher of scientific journals, cannot afford to become known as a place where reviewers don’t review and editors don’t edit. It would make them the laughing stock of the journal world, and being the butt of that kind of joke is something that no journal publisher can survive.

To me, it’s a huge tragedy, for two reasons. One is that I and other skeptical researchers get tarred with the same brush. The media commentary never says “a bunch of fringe pseudo-scientists” brought the journal down. No, it’s “climate skeptics” who get the blame, with no distinctions made despite the fact that we’ve falsified some of the claims of the Special Issue authors here on WUWT.

The other reason it’s a tragedy is that they were offered an unparalleled opportunity, the control of special issue of a reputable journal.  I would give much to have the chance that they had. And they simply threw that away with nepotistic reviewing, inept editorship, wildly overblown claims, and a wholesale lack of science.

It’s a tragedy because you can be sure that if I, or many other skeptical researchers, got the chance to shape such a special issue, we wouldn’t give the publisher any reason to be unhappy with the quality of the peer-review, the strength of the editorship, or the scientific quality of the papers. The Copernicus folks might not like the conclusions, but they would be well researched, cited, and supported, with all data and code made public.

Ah, well … sic transit gloria monday, it’s already tuesday, and the struggle continues …

w.

PS—Based on … well, I’m not exactly sure what he’s basing it on, but the author says in the abstract:

The recent global warming may be interpreted as a rising branch of a millennium cycle, identified in ice cores and sediments and also recorded in history. This cycle peaks in the second half of this century, and then a 500 yr cooling trend will start.

Glad that’s settled. I was concerned about the next half millennium … you see what I mean about the absence of science in the Special Edition.

PPS—The usual request. I can defend my own words. I can’t defend your interpretation of my words. If you disagree with something I or anyone has written, please quote the exact words that you object to, and then tell us your objections. It prevents a host of misunderstandings, and it makes it clear just what you think is wrong, and why.

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temp
January 21, 2014 10:30 pm

“Well, the R2 between sunspots and sea level is a mere 0.13, very little relationship. And even worse, the p-value of the relationship is 0.08 … sorry, no cigar. ”
On what years are you getting those values because from the paper they have a bunch of different cycles pointed out. I’m assuming your getting those values from the whole data set which both you and the paper point out starts with the data in question as an opposing force. Thus pointing out again through these values makes no sense since the paper clearly states as such. I only briefly skimmed the paper since its late but I can I can already see some problems with this whole line here assuming your using the whole data set.

Steve W.
January 21, 2014 10:43 pm

Thanks Willis,
I know you are talking about much more than this one paper, and I see that the correlations are poor, but seeing both of those lines having about the same frequency just makes me wonder what is going on! Why would the frequency of the two signals be about the same? What causes the signal in the sea level? Could there be a loose coupling between the two, like something poking at a pendulum? Why would you expect them to be perfectly in lock-step? Perhaps the sun is a factor, but there are multiple other cyclical drivers of sea level change? The sea level looks like the path of a drunk with several people (one visible, others unknown) trying to push him in the right direction. OK, maybe too much coffee…

Kuhnkat
January 21, 2014 11:04 pm

Willis,
“And I’d have shut it for business reasons because Copernicus, as a publisher of scientific journals, cannot afford to become known as a place where reviewers don’t review and editors don’t edit. It would make them the laughing stock of the journal world, and being the butt of that kind of joke is something that no journal publisher can survive.”
You mean like Nature and the rest of the Believers Climate papers??
HAHAHAHAHAHAHAHAHAHAHAHAHAHAHAHAHAHAHAHAHAHAHAHAHA

kuhnkat
January 21, 2014 11:05 pm

OK, that is one paper. Gonna do the rest for them??

January 21, 2014 11:05 pm

Willis,
The next paragraph says:

The coastal sea level variation cannot be explained as due to expansion/contraction of the oceans due to heating/cooling during a solar cycle as proposed by Shaviv (2008) simply because, near the shore, the thermal expansion becomes zero since the expansion is proportional to the depth (Mörner,
2013b). The good correlation and nearly in-phase response between solar activity and sea level indicates that this is a direct mechanical response – and not a thermal response that needs time to heat up and cool, and therefore shows delayedresponse. This may be seen comparing Figs. 1 and 2.

The author appears to have used Fig 2 to illustrate the de-coupling between solar cativity and sea levels; specifically noted the phase inconsistency and then reasoned that oceanic thermal mass is the reason for phase shifting and a reduction in response for “weak” cycles.
I can’t see how you got the idea from the paper that the author was trying to indicate a simple relationship between solar activity and sea level. Admittedly, I haven’t read the paper in as much depth as you must have before draughting your article.

kuhnkat
January 21, 2014 11:08 pm

By the way Willis, by picking a weak paper to pick on you leave the implication that they are ALL weak. is this your intent or are you going to do the rest of the papers??

Eliza
January 21, 2014 11:15 pm

It’s called spurrious relationship/correlation geeses and babies etc////

January 21, 2014 11:31 pm

Sir James Jeans of the Royal Society posted a similar chart for Sir Richard Gregory in his book “Through Space and Time”. The chart shows the water line of Lake Victoria perfectly correlation to Sunspot Activity.
I was allowed by the publisher to repost that work in my papers along with Atlantic Ocean hurricane seasons Accumulated Cyclone Energy. You can do the same with Earthquake data.
Maybe with for different correlations along with temperatures on our sister planets maybe the EPA will toss the Hockey Stick and Puck back to Ice and quit their false science.
My work is posted at sunspotshurricanesandglaiers.com. Top section.
Sincerely,
Paul Pierett

January 21, 2014 11:42 pm

I would like to thank professor Jan-Erik Solheim, a specialist in astrophysics, for an interesting article.
Please read the article with an open mind.
Regards
Agust

January 21, 2014 11:42 pm

kuhnkat says:
January 21, 2014 at 11:08 pm
By the way Willis, by picking a weak paper to pick on you leave the implication that they are ALL weak. is this your intent or are you going to do the rest of the papers??
##########################################
Why should willis do what reviewers should have done.
In the first 3 papers I read ( this was one) I found similar claims of “relationship’ or correlation, but no numbers.
You CANNOT replicate a find of “good correlation’ unless the author actually tells you what he found.
After reading 3 papers I gave up.

Admin
January 22, 2014 12:36 am

Ok, Team WUWT, united really only by shared insomnia, go!
So Willis, Mosh, if all, or almost all of these papers similar in quality, would a better name for PRiP be CitC, (Castles in the Clouds)?

Maybe this could be a paper in the Journal?

Janice Moore
January 22, 2014 12:42 am

Okay! And YOU GO, CHARLES THE MODERATOR! #(:))
btw: no insomnia — just lack of self-discipline to get to bed.
(hope you don’t mind this totally OT post to just say, “Hi!”)
(yawn)…. bowl of cereal time…. then….. zzzzzzzzzzzz (after I kick my German Shepherd off the bed where he is now snoring away, heh)
LOLOLOL — it’s fun hanging out on WUWT after midnight!

Alex
January 22, 2014 1:07 am

I think you have completely misconstrued the argument into a strawman. Sunspots are an effect, not a cause. No one says ‘Sunspots caused this anomoly’. They are a just a proxy for sun’s magnetic activity and nothing else. And whatever magnetic event that might be affecting earth’s climate could easily precede the change in sunspots. It is absurd to try to disprove the paper based on a claim the authors weren’t even making.

Stephen Wilde
January 22, 2014 1:34 am

The Journal is about pattern recognition.
A pattern is being discussed in the paper.
The conclusion to be derived from any pattern and the question as to whether or not there is a real pattern are obviously open for reasonable discussion.
In this case the pattern appears to hold for a time but to shift in and out of phase.
Many things can cause real patterns to do that and the proper way forward is to investigate whether the pattern may or may not be real in the light of all the potentially confounding influences.
Seems a reasonable scientific endeavour to me.

Stephen Wilde
January 22, 2014 1:41 am

Note that the author actually draws attention to the problems in the analysis as a precursor to further investigation.
The author makes some attempt to suggest a possible explanation in the millennial solar cycle and oceanic thermal inertia.
That is a more scientifically valid approach than most of AGW theory which appears to try and hide or adjust inconvenient data.
I think Willis is being unfair here.

January 22, 2014 1:50 am

Janice Moore says:
January 22, 2014 at 12:42 am
btw: no insomnia — just lack of self-discipline to get to bed.
Similar here, Janice. I could easily keep my thoughts here for the rest of my life.
I raised a G Shep Akita mix for 18 years and 3 generations. I still see them in my dreams at times. They were beautiful creatures.

January 22, 2014 2:00 am

Willis,s argument about taking care to maintain the proper level of integrity in published research makes sense to me.
The graph does have interesting features. Could it be that the main story this graph is telling is that there is another modifier interacting with these systems?

January 22, 2014 2:01 am

No, Willis is not being unfair. Willis is pointing out that if you’re going to do peer-reviewed scientific analysis, then you’d better make sure that your peers are competent enough to critique the analysis.
If Willis can spot the obvious flaws in a paper with five seconds of inspection and a quick calculation, then its clear that the journal (and therefore the publisher) is heading for a pasting that is thoroughly deserved.
Pattern recognition is at the basis of human intelligence, but it is also the greatest threat to human progress if it is not constrained by proper analysis.

Paul Westhaver
January 22, 2014 2:05 am

Willis,
Notwithstanding your gripes about the overall paper and the journal review process, If someone placed the curves in front of me, I;d be very interested i knowing why they are related. They are related without a doubt. So why?
Is the sea level data repeatable? The sunspot data looks right.
I’d say there is something there.

Brian H
January 22, 2014 2:14 am

Stephen Wilde says:
January 22, 2014 at 1:41 am
Note that the author actually draws attention to the problems in the analysis as a precursor to further investigation.

Agree; this comes across as that preliminary pre-hypothesis stage called “speculation”. It’s not trying to claim to do more than point out something curious, suggestive. Demanding it meet inappropriate standards is churlish.

Siberian_Husky
January 22, 2014 2:29 am

Willis,
“The p-value measures how likely it is that we’re just seeing random variations. In other words, the p-value is the odds that the outcome has occurred by chance. A p-value of 0.05, for example, means that the odds are one in twenty that it’s a random occurrence.”
This is not correct. The pvalue is the probability of observing the given result or one more extreme, given that the null hypothesis is true. If you don’t understand the difference between what I have written and what you have said, you shouldn’t be attempting statistics. Period.
“And what did I find? Well, the R2 between sunspots and sea level is a mere 0.13, very little relationship. And even worse, the p-value of the relationship is 0.08 … sorry, no cigar. There is no statistically significant relationship between the two. In part this is because both datasets are so highly auto-correlated (~0.8 for both), and in part it’s because … well, it’s because as near as we can tell, sunspots don’t affect the sea level.”
So let me get this straight- you find very little relationship between the two, and yet you say that the two datasets are highly auto-correlated!!! What do you think autocorrelated means Willis??? I mean look at the two lines Willis- they are practically on top of one another!!! Maybe you didnt find any relationship between the two because you know squat about statistics?
This is why it is an utter waste of time reading blogs like these written by poorly trained pseudo-scientists. The peer review process is there so that crap like this doesnt see the light of day.
What an embarassment.

Greg Goodman
January 22, 2014 2:33 am

Steve Mosher: “Why should willis do what reviewers should have done.”
What? You mean READ the paper before trying to diss it? Don’t be silly.
Willis just picks out one graph and ignores the rest of the paper and then goes on to draw his own preconceived conclusions that have little “correlation” with the contents of the paper.
The rest of the paper shows a much deeper examination of the spectral content including a strong 9.1 year cycle that Scafetta, BEST and others have already documented.
Now if you superimpose a 9.1 year and a rather variable 10-11 year cycle you will get exactly the kind of phase shifts and decorrelation that Willis’ sharp eye spots in figure 2. if you only look at either one in isolation.
This is precisely the point I made in an article I submitted to Talkshop last year just before getting banned for daring to question with His Majesty.
My copy here:
http://climategrog.wordpress.com/2013/03/01/61/
Willis, if your are going to dismiss a paper at least have the good manners to read it first.

Agnostic
January 22, 2014 2:35 am

well, it’s because as near as we can tell, sunspots don’t affect the sea level.
I don’t offer any judgement on the worthiness of this paper, but this remark jumped out at me. Surely you are not suggesting that the authors think sunspots affect sea level? Maybe it ought to have been more explicit in the paper, I don’t know I haven’t read it, but the first thing I thought of looking at the graph you displayed is that they are using sunspots as an indicator of solar activity the consequence of which may affect temperatures which may affect sea level. Sunspots have been pretty reliably measured which is why I presume this graph was made.
My first thought to this was I didn’t think sea levels would be affected on these time scales because of thermal inertia, but maybe it has something to do with the top layer or something. But sea levels are notoriously difficult to measure reliably and I wondered about the level of error – i suspect they would be so large that any sort of wiggle would fit within them.
I think your skepticism is well-merited – the danger of “pattern recognition” is that the human mind contrives to find patterns where none exist, and this looks like a prime candidate. Yet if you are going to kick this one down the hall, at least don’t mischaracterise what they are saying. Or DID they say that sunspots cause sea level change explicitly? Because that would be nuts…

Stephen Wilde
January 22, 2014 2:35 am

“if you’re going to do peer-reviewed scientific analysis, then you’d better make sure that your peers are competent enough to critique the analysis.”
And if the analysis throws up new areas for investigation such that no peers are sufficiently competent ?
This paper does not purport to ‘prove’ anything. The criticisms are indeed churlish.

Greg Goodman
January 22, 2014 2:42 am

John A : “If Willis can spot the obvious flaws in a paper with five seconds of inspection and a quick calculation, then its clear that the journal (and therefore the publisher) is heading for a pasting that is thoroughly deserved.
Pattern recognition is at the basis of human intelligence, but it is also the greatest threat to human progress if it is not constrained by proper analysis.”
So rather then read the paper and find out that it does contain a detailed “proper analysis” , you just pile on, on the basis of Willis’ inconvenienced comments, which do indeed seem to be based on ” five seconds of inspection “.
Mindlessly repeating what you read in a blog post , without checking the facts, is “the greatest threat to human progress”.
Now go away, read the paper then come back and tell what you think.

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