It's The Evidence, Stupid!

Guest Post by Willis Eschenbach

I hear a lot of folks give the following explanation for the vagaries of the climate, viz:

thumb its the sunIt’s the sun, stupid.

And in fact, when I first started looking at the climate I thought the very same thing. How could it not be the sun, I reasoned, since obviously that’s what heats the planet.

Unfortunately, the dang facts got in the way again …

Chief among the dang facts is that despite looking in a whole lot of places, I never could find any trace of the 11-year sunspot cycle in any climate records. And believe me, I’ve looked.

You see, I reasoned that no matter whether the mechanism making the sun-climate connection were direct variations in the brightness of the sun, or variations in magnetic fields, or variations in UV, or variations in cosmic rays, or variations in the solar wind, they all run in synchronicity with the sunspots. So no matter the mechanism, it would have a visible ~11-year heartbeat.

I’ve looked for that 11-year rhythm every place I could think of—surface temperature records, sea level records, lake level records, wheat price records, tropospheric temperature records, river flow records. Eventually, I wrote up some of these findings, and I invited readers to point out some record, any record, in which the ~ 11-year sunspot cycle could be seen.

Nothing.

However, I’m a patient man, and to this day, I continue to look for the 11-year cycle. You can’t prove a negative … but you can amass evidence. My latest foray is into the world of atmospheric pressure. I figured that the atmospheric pressure might be more sensitive to variations in something like say the solar wind than the temperature would be.

Let me start, however, by taking a look at the elusive creature at the heart of this quest, the ~11-year sunspot cycle. Here is the periodogram of that cycle, so that we know what kind of signature we’re looking for:

periodogram monthly sunspot recordsFigure 1. Periodogram, showing the strengths of the various-length cycles in the SIDC sunspot data. In order to be able to compare disparate datasets, the values of the cycles are expressed as a percentage of the total range of the underlying data.

As you’d expect, the main peak is at around 11 years. However, the sunspot cycles are not regular, so we also have smaller peaks at nearby cycle lengths. Figure 2 shows an expanded view of the central part of Figure 1, showing only the range from seven to twenty-five years:

periodogram 7 to 25 yr monthly sunspot recordsFigure 2. The same periodogram as in Figure 1, but showing only the 7 – 25 year range. 

Now, there is a temptation to see the central figure as some kind of regular amplitude-modulated signal, with side-lobes. However, that’s not what’s happening here. There is no regular signal. Instead of there being a regular cycle, the length of the sunspot cycle varies widely, from about nine to about 15 years, with most of them in the 10-12 year range. The periodogram is merely showing that variation in cycle length.

In any case, that’s what we’re looking for—some kind of strong signal, with its peak value in the range of about 10-12 years.

As I mentioned above, when I started looking at the climate, like many people I thought “It’s the sun, stupid”, but I had found no data to back that up. So what did I find in my latest search? Well, sweet Fannie Adams, as our cousins across the pond say … here are my results:

periodograms four long term atmospheric pressure recordsFigure 3. Periodograms of four long-term atmospheric pressure records from around the globe.

There are some interesting features of these records.

First, there is a very strong annual cycle. I expected annual cycles, but not ones that large. These cycles are 30% to 60% of the total range of the data. I assume they result in large part from the prevalence of low-pressure areas associated with storms in the local wintertime, combined with some effect from the variations in temperature. I also note that as expected, Tahiti, being nearest to the equator and with little in the way of either temperature variations or low-pressure storms, has the smallest one-year cycle.

Other than semi-annual and annual cycles, however, there is very little power in the other cycle lengths. Figure 4 shows the expanded version of the same data, from seven to twenty-five years. Note the change in scale.

periodogram four longterm atmos. press 7 to 25 yrsFigure 4. Periodograms of four long-term atmospheric pressure records from around the globe.

First, note that unlike the size of the annual cycle, which is half the total swing in pressures, none of these cycles have more than about 4% of the total swing of the atmospheric pressure. These are tiny cycles.

Next, generally there is more power in the ~ 9-year and the ~ 13-14 year ranges than there is in the ~ 11-year cycles.

So … once again, I end up back where I started. I still haven’t found any climate datasets that show any traces of the 11-year sunspot cycles. They may be there in the pressure data, to be sure, it is impossible to prove a negative, I can’t say they’re not there … but if so, they are hiding way, way down in the weeds.

Which of course leads to the obvious question … why no sign of the 11-year solar cycles?

I hold that this shows that the temperature of the system is relatively insensitive to changes in forcing. This, of course, is rank heresy to the current scientific climate paradigm, which holds that ceteris paribus, changes in temperature are a linear function of changes in forcing. I disagree. I say that the temperature of the planet is set by a dynamic thermoregulatory system composed of emergent phenomena that only appear when the surface gets hotter than a certain temperature threshold. These emergent phenomena maintain the temperature of the globe within narrow bounds (e.g. ± 0.3°C over the 20th Century), despite changes in volcanoes, despite changes in aerosols, despite changes in GHGs, despite changes in forcing of all kinds. The regulatory system responds to temperature, not to forcing.

And I say that because of the existence of these thermoregulatory systems, the 11-year variations in the sun’s UV and magnetism and brightness, as well as the volcanic variations and other forcing variations … well, they make little difference.

As a result, once again, I open the Quest for the Holy 11-Year Grail to others. I invite those that believe that “It’s the sun, stupid” to show us the terrestrial climate record that has any sign of being correlated with the 11-year sunspot cycles. I’ve looked. Lots of folks have looked … where is that record? I encourage you to employ whatever methods you want to use to expose the connection—cross-correlation, wavelet analysis, spectrum analysis, fourier analysis, the world is your lobster. Report back your findings, I’d like to put this question to bed.

It’s a lovely Saturday in spring, what could be finer? Gotta get outside and study me some sunshine. I wish you all many such days.

w.

For Clarity: If you disagree with someone, please quote their exact words that you disagree with. It avoids all kinds of pernicious misunderstandings, because it lets us all know exactly where you think they went off the rails.

Why The 11-year Cycle?: Because it is the biggest cycle, and we know all of the other cycles (magnetism, TSI, solar wind) move in synchronicity with the sunspots. As a result, if you want to claim that the climate is responding to say a slow, smaller 100-year cycle in the sunspot data, then by the same token it must be responding more strongly to the larger 11-cycle in the sunspot data, and so the effect should be visible there.

The Subject Of This Post: Please do not mistake this quest for the elusive 11-year cycle in climate datasets as an opportunity for you to propound your favorite theory about approximately 43-year pseudo-cycles due to the opposition of Uranus. If you can’t show me a climate dataset containing an 11-year cycle, your hypothesis is totally off-topic for this post. I encourage you to write it up and send it to Anthony, he may publish it, or to Tallbloke, he might also. I encourage everyone to get their ideas out there. Here on this thread, though, I’m looking for the 11-year cycle sunspot cycle in any terrestrial climate records.

The Common Cycles in Figures 3 and 4: Obviously, the four records in Figs. 3 & 4 have a common one-year cycle. As an indication of the sensitivity of the method that I’m using, consider the two other peaks which are common to all four of the records. These are the six-month cycle, and the 9-year cycle. It is well known that the moon raises tides in the atmosphere just as it does in the ocean. The 9-year periodicity is not uncommon in tidal datasets, and the same is true about the 6-month periodicity. I would say that we’re looking at the signature of the atmospheric tides in those cycle lengths.

Variable-Length Cycles, AKA “Pseudocycles” or “Approximate Cycles”: Some commenters in the past have asserted that my method, which I’ve nicknamed “Slow Fourier Analysis” but which actually seems to be a variant of what might be called direct spectrum analysis, is incapable of detecting variable-length cycles. They talk about a cycle say around sixty years that changes period over time.

However, the sunspot cycle is also quite variable in length … and despite that my method not only picks up the most common cycle length, it shows the strength of the sunspot cycles at the other cycle lengths as well.

A Couple of my Previous Searches for the 11-Year Sunspot Cycle:

Looking at four long-term temperature records here.

A previous look at four more long-term temperature records.

Atmospheric Pressure and Sunspot Data:

Madras

Nagasaki 

Tahiti to 1950  and Tahiti 1951 on (note different units)

Darwin to 1950  and Darwin 1951 on  (note different units)

Sunspots These are from SIDC. Note that per advice from Leif Svalgaard, in the work I did above the pre-1947 values have been increased by 20% to adjust for the change in counting methods. It does not affect this analysis, you can use either one.

For ease of downloading, I’ve also made up a CSV file containing all of the above data, called Long Term Atmospheric Pressure.csv

And for R users, I’ve saved all 5 data files in R format as “Long Pressure Datasets.tab

Code: Man, I hate this part … hang on … let me clean it up a bit … OK, I just whacked out piles of useless stuff and ran it in an empty workspace and it seemed to fly. You need two things, a file called madras pressure.R  and my Slow Fourier Transform Functions.R. Let me know what doesn’t work.

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Pamela Gray
May 25, 2014 5:03 pm

Tonyb says at May 25, 2014 at 1:13 pm
Pamela
We were discussing that 1257 reference yesterday
http://judithcurry.com/2014/05/23/how-simple-is-simple/#comment-568157. The assertion is complete nonsense. It is difficult from observational evidence to see the effects of even very large volcanos lasting more than a few months let alone precipitating the lia.”
In what part is the assertion complete nonsense? The 1257 explosion was massive. Even before the volcano responsible was identified, it was deemed the largest eruption in the past 7000 years based on ice core sulfur data.

May 25, 2014 5:05 pm

Willis said:
“My latest foray is into the world of atmospheric pressure. I figured that the atmospheric pressure might be more sensitive to variations in something like say the solar wind than the temperature would be.”
I would see how well the series correlate at monthly scales then, it would be a far better test than looking for a simple 11yr signal.
“Thanks, Ulric. Indeed, both of your graphs prove my point quite clearly. Both the aa index and the number of magnetic storms vary much more widely over the 11 year cycle than they do over a century.”
I see that the range is from less than 30 to above 60:
http://www.geomag.bgs.ac.uk/images/image022.jpg

milodonharlani
May 25, 2014 5:06 pm

David A says:
May 25, 2014 at 5:02 pm
In support of the cumulative effect is the first graph in my second link above, based on a correlation between the length of solar cycles & global temperature trends, which was examined by Danish researchers Friis-Christensen & Lassen in 1991, as extended by Shaviv. It also chances a prediction.

May 25, 2014 5:08 pm

Willis, very simple answer. The systems we are observing are NOT strictly linear in any way shape or form. YOU YOURSELF have noted the “thunderstorm hypothesis” which mitigates matters. While an IMMEDIATE change in the ionization/seeding of clouds may produce a rather IMMEDIATE EFFECT…(such as noted by Svensmark’s paper) there are other factors (aka, think the thunderstorm hypothesis) which…with LONG TERM trends may tend to DAMPEN effects. It should be NOTED that the galaxy itself has an effect on cosmic ray intensity. We are NOT like a needle on an LP, staying in one plane in relation to the central slice through the galaxy. There is strong evidence we are cutting somewhat of a Lissajous figure, as the sun rotates around the center of the galaxy. Putting us on a cycle of going up and down with relation to the central “flat LP” of the galaxy. This TOO could have a long term effect on cosmic rays, and thus a longer term effect on clouds and the albedo.Thus, there could be an explanation for periodic ice ages. I think in ALL of this there is a fatal flaw in thinking “we” (currently, in our time, with our limitations”) can figure out ALL the variables in this multivariate system and their inter-relations.

bobl
May 25, 2014 5:16 pm

Willis,
Clearly earth has thermoregulatory limits, particularly cloud and storm formation, which are massively non linear, dare I say it tipping points, but they are of course negative feedbacks. I think we can take for granted that earth temperature is proven to be solar insolation dependent since day is warmer than night, summer is warmer than winter, and the tropics are warmer than the poles. I think it’s rather incontrovertible that these difference are mediated by differing insolation. The sunspot cycle is a different matter, it’s not a terribly large change, and likely below the noise floor of say, ocean mediated temperature variation. Also, the different effects from sunspots in particular may have opposing effects such that overall the climatic effects are minimised. Sunspots are a different mechanism to say orbital eccentricity so it isn’t surprising to me that a sunspot signature is difficult to discern. Have you looked for example on the effect of sunspots on volatility? Energy entering into the system can be shown as more heat OR more volatility as feedback mechanisms become more perturbed in transforming that excess incoming energy to another form – even as the average remains unchanged.
The problem of course is which feedback out of millions to look at, the logical exit point is wind/waves where most of the thermal energy in the system ends up. Since wind velocity is a square root function of energy, good luck in eeking out a wind signature given only a 1 % change in energy sqrt(.01) = .0001 change in average wind velocity.

Pamela Gray
May 25, 2014 5:21 pm

http://www.pnas.org/content/early/2013/09/26/1307520110
The full color download of the volcanic eruption at the beginning of the LIA is available for free. Very interesting stuff!

Girma
May 25, 2014 5:21 pm

Willis
Here is the indisputable correlation between sun spot count and global mean temperature (you have to take the 63 years running mean for both )
http://www.woodfortrees.org/plot/hadcrut4gl/mean:756/normalise/plot/sidc-ssn/mean:756/normalise/from:1880
For the earth’s climate, 11 years is just noise

Bruce Murray
May 25, 2014 5:28 pm

Willis,
Further to my last, although SS24 is one of the weakest this century, TSI during the latest (second) peak is actually slightly higher than for SS23 so the correlation between sun spot numbers and TSI is weak at best. Keep up thegood work.

george e. smith
May 25, 2014 5:42 pm

“”””””……joeldshore says:
May 24, 2014 at 7:06 pm
george e. smith says:
BUT ! back to a recent (not so long ago) Willis essay, on some observations of a Volcanic dimming incident(s) I believe made in Hawaii (shoot me if I’m wrong Willis) where for some months, there was a measured, very significant reduction (20-25% sticks in my mind) in the SURFACE solar irradiance; that decayed exponentially over a few months to a year or so (in that region) BUT, the local temperature anomalies showed no observable temperature change at all (in that region.
It was a striking demonstration that the weather / climate feedback loop, can squelch a host of solar irradiance variation, that happens over time intervals, that are clearly much longer than the thermal time constants.
Well the day night temperature cycle proves that the thermal response can be pretty darn fast, compared to a three month SI deprivation.
So that essay of yours Willis proved to me quite solidly, that there is a very active negative feedback, temperature regulating loop in play.
Well, it might prove it to you but it certainly doesn’t to me. I can think of a ton of issues with such a test. One is the huge thermal heat capacities involved…Places like Hawaii don’t have that strong a diurnal temperature cycle as is true of more continental climates. A second issue is the neglect of the fact that climate is far from a local effect, that is there is huge heat transport around the globe. You can’t just say, “Forcing is reduced here so it should be a lot colder here.” A third is you have to figure out the extent to which that change in solar radiation reaching the surface means less solar radiation being absorbed vs the extent to which some of that radiation that didn’t reach the surface was absorbed in the atmosphere (i.e., to what extent do the volcanic aerosols reflect radiation and to what extent do they block it by absorbing it).
But, another important thing is that you are making a big confusion between changes in forcing at the surface and top-of-the-atmosphere forcings. …..”””””
Joel, I read this posting of yours about 24 hours ago, and decided it wasn’t worth responding to. But I felt that a minimum response required, was an immediate recall of the recent gold stars you seemed (at the time) to have earned.
I’m still having a hard time believing it actually is you that wrote this drivel.
Well I decided in the interests of other readers, to try and address, your post. It will be necessary to define some terms as they arise, since the seem to be an area of confusion in your mind.
The first necessary definition, is one of those words I capitalized, for emphasis; SURFACE .
For the purpose of this posting, “surface” refers to the surface of planet earth, and that is further defined as ; Any boundary, separating any bulk portion of the earth that is in a solid phase, OR a liquid phase; from a bulk portion of the earth that is in a gaseous phase.
These may be colloquially referred to as “land” , “sea”, and “air.”
In this regard, CLOUDS , consisting of liquid or solid phases, are NOT considered part of SURFACE.
So I specifically referenced “surface solar irradiance.”
That would relate to ONLY EM radiant energy, that has already made contact with any portion of the surface, as defined above.
I repeat here this portion of YOUR post: “””””…..A third is you have to figure out the extent to which that change in solar radiation reaching the surface means less solar radiation being absorbed vs the extent to which some of that radiation that didn’t reach the surface was absorbed in the atmosphere (i.e., to what extent do the volcanic aerosols reflect radiation and to what extent do they block it by absorbing it)……””””
Do you see the dilemma here Joel. All of these strawmen you here set up; well they actually are red herrings.
Not a one of these things has ANY influence on the “SURFACE solar irradiance.”
It has already landed, either on the ground, or on the oceans. It is thus immune to aerosols, volcanoes, sea level rice, ocean acidification, or any other imagined pestilence you raised. The surface solar irradiance already made it to the surface.
So now to this ditty: “””””…..One is the huge thermal heat capacities involved…Places like Hawaii don’t have that strong a diurnal temperature cycle as is true of more continental climates. …..”””””
Just for the record, Joel, I was born and raised, surrounded by water; just like Hawaii is. Actually, I was born on such a strip, about five miles wide, having the entire Pacific ocean to the East of me, and the entire Indian Ocean to the West of me. Well the Australians like to call it the Tasman Sea, near where we are, but it’s the Indian Ocean. Actually, when the sea level rises, as it does twice per day, that five miles strip, shrinks to one half of a mile; just enough to get one road, and one railway track through on dry land. And no we are not near ANY continents.
And I can assure you Joel, that the temperature does change between day and night. Now admittedly, it is not as large as the 150 degree C change, one can experience by flying from the winter midnight of the Antarctic highlands, to the hot summer daylight deserts of North Africa.
But that day-night Temperature change (I mentioned above) is huge compared to the pitiful about 0.7 deg. C change that people are still trying to verify as having occurred on earth over the last 150 years.
Did you catch this part Joel ?
“””””…..that happens over time intervals, that are clearly much longer than the thermal time constants…..””””
Now I understand that you educators like to treat the climate, as a steady state condition. Note how Kevin Trenberth, et al’s “earth energy budget.” is a static steady state condition with no time element involved.
Like you, he probably has no understanding of a THERMAL TIME CONSTANT (which I mentioned above, and YOU chose to simply ignore, with this offering :
“””””…..One is the huge thermal heat capacities involved…”””””
Now Joel, you may not be aware of this; but ALL of those numbers, on KT’s “earth energy budget.” are NOT ENERGIES at all. The SI unit of energy, is the JOULE.
Watts is a unit of POWER, often defined as a RATE of doing work. It is an instantaneous “differential” quantity, which for a constant power, gives the same answer when observed for one atto-second, as when observed for a year.
And for the extra-terrestrial mean TSI (over the orbital year), is generally about 1366 W/m^2 areal power density. It most certainly is NOT 342 W/m^2, as asserted by KT et al.
And when you supply energy to an object at a certain rate (power), which gets converted to heat energy in that object, which has a certain “specific heat”, the temperature will tend to rise above the equilibrium steady state temperature, at a very calculable initial rate; which rate will then slow down, as “heat” loss mechanisms kick in to slow the rate of temperature rise. Such processes are characterized by (in this case) thermal time constants; that being the time it takes for a new temperature level to be reached, if the heating continued at the initial linear rate.
This is what really takes place in a dynamic transient situation, which you choose to enshroud under a flowery unscientific term like “huge thermal heat capacities.”
Now I have been to or lived in a number (small) of different places, and in every such place, when a cloud passed between me and the daytime sun, the temperature drop experienced by me, was virtually instantaneous, in the shadow zone. But then, I have a short thermal time constant, and also a negative feedback loop, called sweating, that kicks out to stop me losing body heat so fast, in the shadow.
How about this “””””…..
But, another important thing is that you are making a big confusion between changes in forcing at the surface and top-of-the-atmosphere forcings. …..”””””
Sorry Joel; I never ever use the word “forcings”, and I never used it in my post, nor did I mention forcings at the top of the atmosphere, nor did I mention changes in forcings at the top of the atmosphere; never even mentioned the top of the atmosphere. Those are all strawmen dreamed up out of your fertile imagination, Joel.
I specifically discussed “SURFACE solar irradiance.”, and as I defined “surface, that is the BOTTOM of the atmosphere, and NOT the top of the atmosphere.
Well Joel to you educators, who teach, instead of do, the climate is the (static steady state) AVERAGE OF THE WEATHER .
Don’t know how many times I have told you it is the INTEGRAL of the weather.
That is the INTEGRAL over TIME and SPACE.
So I talked about Willis’s description of a LOCAL irradiance dimming; that persisted for a time much longer than the also local, thermal time constants; and described how it was found that LOCAL negative feedbacks, served to immediately nullify (locally) the effect of that dimming, so as to cancel out any change in LOCAL surface temperature.
Nothing in my post precluded, any such change in surface solar irradiance, occurring in ANY other location, or multiplicity of locations, and local feedbacks in those locations from cancelling out such perturbations; nor extending that to the entire earth, to be both spatially and temporally integrated to produce a global condition; or regional climate changes.
In addition to knowing what it is to be surrounded by water, I also know a thing or two about volcanoes. Well I had about 60 of them, within 25 miles of where I grew up. None of them were actually active at the time; but I used to go climbing and skiing, on a more distant (200 miles) away volcano, while it WAS actively erupting. Also used to go swimming in its sulphuric acid crater lake, at other times when it wasn’t erupting.
So aerosols I do understand somewhat; but so far as I know they tend not to be found between the SURFACE and the ground; or the ocean, they are more of an atmospheric thing.
But I’m sure, I have told you before Joel, I make it a rule to never get between somebody, and a cliff they are wanting to leap off.
But if just one person, is helped to understand negative feedback in the weather system, by my comments, on Willis’s Pinatubo solar dimming description, that is a gain as far as I am concerned.
You can drag out all the red herrings you wish Joel.
But I’m disappointed in you; I was beginning to think, you were somewhat more sensible.

May 25, 2014 5:48 pm

On a day of ego growth.
One ego did grow.
Larger still, growing.
Grown not so much.

Greg Goodman
May 25, 2014 5:48 pm

Here is the cross-correlation function of Tahiti SLP and SSN.
http://climategrog.wordpress.com/?attachment_id=951
Nice an clear the difference between SSN leads and SSN lags ( as would be expected if there is an effect: SLP does not influence the sun! ).
The first peak is a about 30 months and is negative: more SSN , less SLP. So is that a passive effect of SSN variation or a feedback?
BTW: This is close to what is usually attributed the “quasi-biennial oscillation” QBO. Don’t know if there’s a connection.

May 25, 2014 5:54 pm

I can see a lot of detail with solar wind speed changes which can be compared with teleconnection phases at an event level, that could be more fruitful than reducing the solar wind down to a ~11yr signal: http://snag.gy/99MpL.jpg
You could do a periodicity analysis on the daily solar wind speed data to see what cyclicity it may have, but why bother when many correlations can be checked on an event basis.

Greg Goodman
May 25, 2014 6:07 pm

Now I have not had time think this through in detail but lower SLP would be in the sense of rain/storm conditions. Now if higher SSN : more active sun means an increased solar “forcing” of some kind that would make storm conditions a negative feedback.
Willis produced this evidence in his SFT plots , but refuses to see it , yet it seems to be observational evidence of what he has been banging on about for the last year or two.
Odd that.
Still , look like useful information.

Scott Basinger
May 25, 2014 6:08 pm

Gotta love Willis poking the bear. Good on ya. 🙂

Greg Goodman
May 25, 2014 6:20 pm

Resume of evidence so far:
1. 10,11,11.8 triplet in SSN ( probable 11,136 modulation )
2. same triplet found in Tahiti SLP, very close match of frequencies.
3. Very strong 10.8 y peak in cross power spectrum
4. Clear onset of circa 10.7 year pattern in SSN-SLP correlation function on positive lag side
5. First peak is negative peak at ~ 30 months lag ( SLP lagging SSN ).
30 months is just short of a quarter cycle. ( pi/2 lag ? )
6. Neg. correlation : incr. SSN => lower SLP; would indicate a negative feedback.
http://climategrog.files.wordpress.com/2014/05/tahiti_ssn_cc.png?w=843
Now that is not the surface warming everyone seems to assume but it is a climate effect linked to SSN.
I rest my case ( and my eyeballs. Far too much screen time today ).

Konrad
May 25, 2014 6:42 pm

Willis Eschenbach says:
May 25, 2014 at 3:00 pm
—————————————-
“If that were the case, then we would see the 11-year cycle in the 0-700 metre ocean heat content (OHC). Hang on, I’m determined to follow all leads … OK, here’s the periodogram for the Levitus 0-700m quarterly OHC data …”
No, the cumulative effect cannot be found in the data at current resolution. Remember you are looking for just 0.8C in 150 years.
“PS—Contrary to your claim, DWLWIR can indeed leave the ocean warmer than when there is no DWLWIR …”
I’m sorry Willis, DWLWIR is not what is stopping our oceans freezing. DWLWIR can effect water that is very cold with no wind speed or very saturated or very cold air above. But these are not conditions found over most over the oceans. For the radiative GHE hypothesis to be correct, DWLWIR would have to effect our oceans just as if they were a “near blackbody”. That simply isn’t the case.

Greg Goodman
May 25, 2014 6:53 pm

a.m. :”Chief among the dang facts is that despite looking in a whole lot of places, I never could find any trace of the 11-year sunspot cycle in any climate records. And believe me, I’ve looked.”
……
May 25, 2014 at 6:29 pm:
“The question is whether the sun (via TSI, magnetism, cosmic rays, sunspots, solar wind, etc.) affects the global temperature on a longer-term scale (decadal or longer). I’m just looking for that evidence … without much success.”
Whoosh! was that a goal post the just flashed before my eyes? It did look a lot like one but it was so fast that I can’t be sure ! LOL
Now my thinking is that if SLP is a feedback it has to be reacting to something. SST would be the first thing to think of. Even a strong non-linear feedback needs a cause. If not maybe some direction causation needs to be sought.
I’m also thinking that the tropics are very stable, self-regulating, extra-tropics less so. Perhaps we can see a solar signal in some SST basins.
circa 11y signal weak in Nino regions SST:
http://climategrog.files.wordpress.com/2013/03/icoads_pds_nino_grp1.png
stronger in north and south Atlantic.
http://climategrog.files.wordpress.com/2013/03/icoads_pds_9_grp.png
The relative strength of the lunar signal is clear in that last graph. Which is why you won’t see clear solar cycle unless you look properly, ie without the Ray Charles eye apparel.

Matthew R Marler
May 25, 2014 7:07 pm

richardscourtney: Willis Eschenbach:
In your comment addressed to Konrad at May 25, 2014 at 9:35 am which is here you ask
the oceans don’t prevent a 1 year cycle in temperature, why would they prevent an 11-year cycle?
Sorry, but that is a profound misunderstanding. The oceans CAUSE the “1 year cycle in temperature”.
I explained this in my above post to you at May 25, 2014 at 12:34 am which is here where I wrote
The reason for the global seasonal temperature change is the different coverage of Northern hemisphere (NH) and Southern hemisphere (SH) by water (land is not as good a heat sink as water) so the seasonal variation is greater in the NH than the SH. This support’s Monckton’s claim of a great oceanic heat sink effect.

Isn’t it *both* the differential sea surface area and the change in total insolation from perihehelion to aphelion?

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