What Do We Really Know About Climate Change?

A Guest Post by Basil Copeland

Like many of Anthony’s readers here on WUWT, I’ve been riveted by all the revelations and ongoing discussion and analysis of the CRUtape Letters™ (with appropriate props to WUWT’s “ctm”). It might be hard to imagine that anyone could add to what has already been said, but I am going to try. It might also come as a surprise, to those who reckon me for a skeptic, that I do not think that anything was revealed that suggests that the global temperature data set maintained by CRU was irreparably damaged by these revelations. We’ve known all along that the data may be biased by poor siting issues, handling of station dropout, or inadequate treatment of UHI effects. But nothing was revealed that suggests that the global temperature data sets are completely bogus, or unreliable.

I will return to the figure at the top of this post below, but I want to introduce another figure to illustrate the previous assertion:

This figure plots smoothed seasonal differences (year to year differences in monthly anomalies) for the four major global temperature data sets: HadCRUT, GISS, UAH and RSS. With the exception of the starting months of the satellite era (UAH and RSS), and to a lesser degree the starting months of GISS, there is remarkable agreement between the four data sets – where they overlap – especially with respect to the cyclical pattern of natural climate variation. This coherence gives me confidence that while there may be problems with the land-sea data sets, they accurately reflect the general course of natural climate variation over the period for which we have instrumental data. While we need to continue to insist upon open access to the data and methods used to chronicle global and regional climate variation, and refine the process to remove the biases which may be present from trying to make the data fit the narrative of CO2 induced global warming, it would be wrong to conclude that the “CRUtape Letters” prove that global warming does not exist. That has never really been the issue. The issue has been the extent of warming (have the data been distorted in a way that would overstate the degree of warming?), the extent to which it is the result of natural climate variation (as opposed to human influences), and the extent to which it owes to human influences other than the burning of fossil fuels (such as land use/land cover changes, urban heat islands, etc.). And flowing from this, the issue has been whether we really know enough to justify the kind of massive government programs said to be necessary to forestall climate catastrophe.

Figure 2 plots the composite smooth against the backdrop of the monthly seasonal differences of the four global temperature data sets:

Many readers may recognize the familiar episodes of warming and cooling associated with ENSO and volcanic activity in the preceding figure. With a little more smoothing, we get a pattern like that depicted in Figure 3, which other readers may notice looks a lot like the cycles that Anthony and I have attributed to lunar and solar influences (they are the same):

In either case, the thing to note is that over time climate goes through repetitive episodes of warming and cooling. You have to look closely on Figures 2 and 3 – it is much clearer in Figure 1 – but episodes of warming exist when the smooth is above zero, and cooling episodes exist when the smooth is below zero. Remember, by design, the smooth is not a plot of the temperature itself, but of the trend in the temperature, i.e. the year to year change in monthly temperatures. The intent is to demonstrate and delineate the range of natural climate variation in global temperatures. It shows, in effect, the trend in the trend – up and down over time, with natural regularity, while perhaps also trending generally upward over time.

Which brings us to Figure 1. Here we are focusing in on the last 30 years, and a forecast to 2050 derived by a simple linear regression through the (composite) smooth of Figure 3. (Standard errors have been adjusted for serial correlation.) There has been an upward trend in the global temperature trend, and when this is projected out to 2050, the average is 0.114°C per decade ± 0.440°C per decade. Yes, you read that right: ± 0.440°C per decade. Broad enough to include both the worst imaginations of the IPCC and the CRU crowd, as well as negative growth rates, i.e. global cooling. Because if the truth be told, natural climate variation is so – well, variable – that no one can say with any kind of certainty what the future holds with respect to climate change. Be skeptical of any statistical claims to the contrary.

I think we can say, however, with reasonable certainty, that earth’s climate will remain variable, and that this will frustrate the effort to blame climate change on CO2 induced AGW. Noted on the image at the top of this post is a quote from Kevin Trenberth from the CRUtape Letters™: “The fact is that we cannot account for the lack of warmth at the moment, and it is a travesty that we can’t.” Trenberth betrays a subtle bias here – he cannot acknowledge the recent period of global cooling. It is, rather, “a lack of warmth.” But he is right that it is a “travesty” that we cannot fully account for the ebb and flow of earth’s energy balance, and ultimately, climate change. I think Trenberth just sees it as a lack of monitoring methods or devices. But I think there still remains a considerable lack of knowledge, or understanding, about the mechanics of natural climate variation. If you look carefully at Figure 1, you will notice that there seem to be upper and lower limits to the range of natural climate variability. On the scale depicted in Figure 1 (the scale is different with other degrees of smoothing), when warming reaches a limit of approximately 0.08-0.10°C per year, the warming slows down, and eventually a period of cooling takes place, always with the space of just a few years. Homeostasis, anyone? While phenomenon like ENSO are the effect of this regularity in natural climate variation, they are not the cause of it.

In my opinion, what is the real travesty of the global warming ideology is the hijacking of climate science in the service of a research agenda that has prevented science from investigating the full range of natural climate variation, because that would be an inconvenient truth. We see this, quite clearly, in the CRUtape Letters™ where the Medieval Warm Period is just “putative,” and a rather inconvenient truth that needs to be suppressed. Or the “1940’s blip” that implies that global temperatures increased just as rapidly in the early part of the 20th Century, as they did at the end of the 20th Century, an inconvenient truth at odds with the narrative preferred by the IPCC.

It is a truism that “climate varies on all time scales.” With respect to the variability demonstrated here, I’m convinced that someday it will be acknowledged that variability on this scale is dominated by lunar and solar influences. On longer scales, such as the ebb and flow from the Medieval Warm Period, through the Little Ice Age, and now into the “Modern Warm Period,” I do not think climate science yet has any real understanding of the underlying causes of such climate change. If we are, as seems possible, on the verge of a Dalton or Maunder type minimum in solar activity, we may eventually have an answer to whether solar activity can account for centennial scale changes in earth’s climate. And I do think it is reasonable to conclude, at the margin, that human activity has had some influence. It is hard to imagine population growing from one to six billion over the past one and a half centuries without some effect. Most likely, the effect is on local and regional scales, but this might add up to a discernible impact on global temperature. But until all of the forces that determine the full range of natural climate variability are understood better than they are now, there is no scientific justification for the massive overhaul of economic and government structures being promoted under the guise of climate change, or global warming.

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P Wilson
December 1, 2009 11:39 am

oops. correction to P Wilson (11:21:38) :
radiation on average leaves the earth an average 10 microns (not 15)

Basil
Editor
December 1, 2009 11:40 am

Paul Vaughan (15:06:42) :
Basil: “I think Trenberth just sees it as a lack of monitoring methods or devices.”
Trenberth’s articles suggest he understands that natural variation is complex. (I don’t necessarily see Trenberth & Meehl as ‘bad guys’… no further comment…)

I always appreciate your insights, and look forward to them. I do not necessarily see Trenberth as a “bad guy” either, but I do think he’s on the CO2 bandwagon, and sees understanding natural variation as essential to removing it, as if it is a mask covering the effect of CO2 from coming through clearly.
Basil: “But I think there still remains a considerable lack of knowledge, or understanding, about the mechanics of natural climate variation.”
You could drop “But I think” and change “considerable” to “staggering”.

Well, the language of true science is always humble, and carefully qualified, unlike some people we know. 🙂 But I get your point. There is more that we do not know than there is that we do know.
Basil: “± 0.440°C per decade”
I reject the assumptions upon which this estimate is based. (Note: This does not affect the key points & major theme of Basil’s article.)

I was going to ask you what you meant, but I think I know.
Thank You:
This article is a breath of fresh air (after the pattern of the last week). Judge Basil has laid down a judgement that accurately hits several important points. When this thread starts to settle down (politically), I imagine we’ll get refocused on discussing natural variations. I have some fresh notes I might share…

What a tease! I’m sure Anthony will give you a forum, if you ever want to share them with us.
Cheers, 😉
Basil

Basil
Editor
December 1, 2009 11:45 am

Peter Taylor (15:08:38) :
I understand what you are driving at. The way data is scattered across the grids is very unclear (ask Harry!), and it is surely likely that when the gridded “model” of the data is then used to replicate the input of individual stations, a lot of it might look ugly, and not match up very well. But for the global “average” I’m not sure that the differences matter as much, as it will tend to all “come out in the wash.” I’m not saying that the data is ideal, or that we cannot do better, or that we shouldn’t try to do better. But when all is said and done, I don’t think the global average will be as affected as many assume. But I’m all for finding out, one way or the other.

Paul Vaughan
December 1, 2009 11:50 am

vukcevic (04:46:40) ” http://www.vukcevic.talktalk.net/HL-GMF.gif
I agree that the subpolar gyre plays an important (switch-like) role …and none of my empirical investigations suggest it is controlled by CO2.

Paul Vaughan
December 1, 2009 11:57 am

Re: Basil (11:40:00)
I’ll take insights on natural climate variation without regard for whatever politics are necessary in the background to keep the train moving…
The important thing is:
Do you think he’ll lie about the truth? (i.e. in a manner such that wise folks can’t read between the lines) [ :

Basil
Editor
December 1, 2009 11:58 am

Tilo Reber (15:44:14) :
Basil,
Regarding the tracking of the four main temperature sites, I have difficulty seeing your example – maybe because of the scale. They do all zig and zag more or less at the same time, but since 97 GISS has been diverging from HadCru3, UAH, and RSS. I don’t know how meaningful the fact of the satellite tracking is, since the satellite record is very short, and since much of the GISS and HadCru3 data manipulation seems to be to make past data cooler.

Tilo,
When all is said and done, we may find that the overall trend is less, because of the way HadCRUT and GISS handle the older data. But I don’t think we’ll see a big change in the cyclic pattern of the data, or the limits to the range of natural climate variation. A few people have picked up on this — the range of natural climate variation, that it is quite variable. But I would also like for people to pick up on something else, which I wrote of in the post:
If you look carefully at Figure 1, you will notice that there seem to be upper and lower limits to the range of natural climate variability. On the scale depicted in Figure 1 (the scale is different with other degrees of smoothing), when warming reaches a limit of approximately 0.08-0.10°C per year, the warming slows down, and eventually a period of cooling takes place, always with the space of just a few years. Homeostasis, anyone? While phenomenon like ENSO are the effect of this regularity in natural climate variation, they are not the cause of it.
The peak amplitudes of the cycles shown in Figure 1 are remarkably consistent. It as if once the earth heats up to a certain point, something happens — say, let’s call it negative feedback! — to limit the warming, and cool the earth back down. I wonder what it could be?

Basil
Editor
December 1, 2009 12:00 pm

Tilo Reber (15:46:22) :
Tilo,
In the chart you linked to, are the data adjusted for a common baseline?
Basil

Basil
Editor
December 1, 2009 12:07 pm

Mike Lorrey (16:26:58) :
icarus,
Perhaps you haven’t heard, but HadCRUT3 is corrupted by bad code that “hides the decline”. Just can’t stop spinning, can you?

Let’s be accurate here. The “hides the decline” controversy relates to paleo data, not HadCRUT3. In HadCRUT3, the game was to “hide the 1940’s blip.”

Basil
Editor
December 1, 2009 12:11 pm

lucklucky (16:39:30) :
jorgekafkazar i agree totally. We don’t know if we humans warm , freeze or do nothing to the planet temperature. Right now it is unknown.
Actually, we do know that humans warm their environment. It is called “UHI.” And not just UHI, but land use/land cover changes by humans impact their environment, including temperature. Maybe we do not know the full extent of it, but I do not see the value in denying the impact of humans altogether. And we do not know that it is necessarily bad, either. Warm is good. Cold is bad.

Basil
Editor
December 1, 2009 12:15 pm

dmoon (18:03:41) :
Is something wrong with the very first figure (Figure 0)? The divisions on the Y axis are at 0.2 increments. So 0.114 would be about half a division. And the +/- 0.4 error band would be +/- 2 divisions. Is there a factor of 10 mistake somewhere?

There is indeed a factor of 10x, but it is not a mistake. The Y axis measures annual rates of change. I multiply by 10 in the Figure to restate it as a “decadal” rate of change.

Basil
Editor
December 1, 2009 12:19 pm

TonyB (02:15:24) :
I’ve been doing penance (responding to posts) off and on all day today. Am I forgiven yet?
😉
Basil

Paul Vaughan
December 1, 2009 12:25 pm

tallbloke (10:43:37) “I wish someone would model these things, it might help with finding answers to questions about why the global temperature fluctuates in rhythm with changes in length of day”
Wise words. My sense is they don’t know how. I’ve seen attempts. The math gets intractable as soon as even the simplest assumptions are torn down – a clue as to why the brainwashing in support of the insidious assumptions remains a matter of the strictest possible ivory tower cult solidarity. Potential threats to the longstanding ruse are derided & targeted with the most viciously-intent sharp-shooting. This fire needs to be fought with fire of infinitely greater resolve. This will pave the way to greater research efficiency for future bright minds who will need to be on firm ground to fight other important battles on the path to survival of whatever ultimate fate Earth will face.
Always appreciate your comments tallbloke. Cheers.

Basil
Editor
December 1, 2009 12:27 pm

lgl (03:09:47) :
Basil
I can’t stop wondering about fig. 1. I assume the temperature rise is reflected in the integral of that graph, so that a larger area above 0 than below means warming.

You have it exactly right.
Then I would expect to see a rising trend if the warming is caused by GHGs, with peaks and troughs going higher and higher, but that’s not the case.
The reason for the larger area above 0 is the double peaks in late 70s 80s and 90s and not higher peaks. I must be totally off track here, will your algorithm always give a no-trend graph?

Well, part of the late 20th Century warming comes from the fact that the troughs — the dips below the zero line — were not as deep as those prior to “the Great Climate Shift” of the mid 1970’s. But lest anyone associate that “lack of cooling” with GHG’s, you have even more “lack of cooling” back in the 1930’s. So what’s up with that? I don’t think we know. But these are the kinds of questions we should be asking.

December 1, 2009 12:51 pm

Basil
You are forgiven if you can confirm you will be on duty all over the Christmas period with 1 hour allowed off on Christmas Day to eat your turkey-or whatever else you might want (a quick sandwich at the screen?)
tonyb

Paul Vaughan
December 1, 2009 12:55 pm

Re: Basil (11:17:33)
It is true that the estimates are based on untenable assumptions – too vulnerable to effortless defeat.

Basil (12:07:15) “[…] the game was to “hide the 1940’s blip.””
My guns are trained on that. (All the other nonsense is a sideshow.) They show willful blind ignorance of Earth orientation parameters & celestial dynamics. If they muck-up the data from such a willfully blind perspective, they complicate the audits that will need to be done by future truth-needing scientists. I advise a systems approach (as opposed to narrow unidisciplinarity). These guys need to get their hands dirty looking at the patterns shared by a wider range of geophysical & celestial time series. Their perspective is too narrow and it is costing all of us.
http://www.sfu.ca/~plv/sqrtaayoy.sq22.png

Basil (11:58:43) “The peak amplitudes of the cycles shown in Figure 1 are remarkably consistent. It as if once the earth heats up to a certain point, something happens — say, let’s call it negative feedback! — to limit the warming, and cool the earth back down. I wonder what it could be?”
Interesting indeed…

Basil
Editor
December 1, 2009 12:55 pm

Dirk (09:29:43) :
Here is the actual HadCRUT data for the past two years:
2007:10 0.367
2007:11 0.267
2007:12 0.220
2008:01 0.030
2008:02 0.194
2008:03 0.481
2008:04 0.278
2008:05 0.280
2008:06 0.307
2008:07 0.415
2008:08 0.391
2008:09 0.369
2008:10 0.452
2008:11 0.388
2008:12 0.321
2009:01 0.384
2009:02 0.364
2009:03 0.371
2009:04 0.417
2009:05 0.409
2009:06 0.509
2009:07 0.508
2009:08 0.548
2009:09 0.459
2009:10 0.437
For 2009:10, the seasonal difference is 0.437 minus the value 12 months prior, i.e. 0.437-0.452, or -0.015. In other words, from October 2008 to October 2009, the anomaly declined 0.015. For 2009:09, the seasonal difference is 0.459 minus 0.369, or +0.09. And so on.
Why use seasonal differences? Well, it tends to transform the data into a stationary process, which is desirable for forecasting. But here, it does a couple of other things along the way that are useful. One, the mean of the seasonal differences of the monthly data becomes an estimate of the annual rate of change, i.e. the annual trend. Second, it facilitates comparing different data sets, like HadCRUT and GISS, without worrying about the different baseline periods used to define their anomalies. The “anomaly” disappears when taking the seasonal difference, and everything is automatically transformed into the same unit of expression. Then there is the pattern of natural variation, or cycles, that gets revealed with smoothing the differences, that is not as evident when smoothing the undifferenced data.
Differencing is a common technique in time series analysis. Economists use it all the time. And the global temperature data is just a time series of observations, so the same techniques apply.

Basil
Editor
December 1, 2009 12:59 pm

Paul Vaughan (11:57:36) :
Re: Basil (11:40:00)
I’ll take insights on natural climate variation without regard for whatever politics are necessary in the background to keep the train moving…
The important thing is:
Do you think he’ll lie about the truth? (i.e. in a manner such that wise folks can’t read between the lines) [ :

No, I don’t think he’d try to lie about the truth. He’s a cut above some of the others, in that regard.

lgl
December 1, 2009 1:45 pm

Basil
It as if once the earth heats up to a certain point, something happens — say, let’s call it negative feedback! — to limit the warming, and cool the earth back down. I wonder what it could be?
I think it’s clear that the peaks are El-Nino and the dips are La-Nina and/or volcanoes. http://virakkraft.com/ENSO-temp-diff.png
So you are asking, what is reversing the Ninos?
Clouds caused by the evaporation? or are the trade winds just picking up again for some other reason? And what the h… offset the thermostat in 1977? I would really like to know, so would others I guess.

lgl
December 1, 2009 2:54 pm

Paul Vaughan (12:55:29) :
http://www.sfu.ca/~plv/sqrtaayoy.sq22.png
Is the aa controlled by the Earth’s magnetism or by the Sun?
http://virakkraft.com/PDO-mag-dec.jpg

Dirk
December 1, 2009 3:26 pm

Basil,
Thank you for clarifying your calculation so even I can understand it- if only everyone would be as forthcoming and willing to explain their methods.
So, to close the gap between your graph, which seems to show limits on warming and cooling, and Icarus’, which seems to show parabolic warming, the issue could be that the warming periods are a bit longer than the cooling periods, true?
I’m not sure if this “extra heating” means anything given there seems to be disagreement on exactly how CO2 radiates (I think that’s what Lindzen and Choi were saying), but at least I can reconcile that there IS warming in the data. Now if only CERN can come out and just show it’s all in the sunspots and cosmic rays so we can go back to making decisions based on economics instead of central planners’ daydreams…

Dirk
December 1, 2009 3:28 pm

p.s.- and the warming is not “going out of control” or directly correlated to CO2.

Icarus
December 1, 2009 5:32 pm

Judge (10:21:38) :
Icarus, try the graph for 2002 – 2010, what does that show you

OK, look at your graph. It shows that on average, the year-to-year variability of global temperature is at least 0.2°C. Agreed? Now look at half a century of data:
http://www.woodfortrees.org/plot/hadcrut3gl/from:1970/to:2010/plot/hadcrut3gl/from:1970/to:2010/trend
I think you have to agree that there is a definite upward trend here, yes? It’s about 0.15°C per decade.
So, you have to graph *at the very least* 15 years of data to have any chance of distinguishing the trend from the interannual variation – to see it rise above the ‘noise’ – Agreed? 8 years clearly can’t tell you anything about the trend – it’s just impossible in a system with this much natural variability.
15 years gives you this:
http://www.woodfortrees.org/plot/hadcrut3gl/from:1995/to:2010/plot/hadcrut3gl/from:1995/to:2010/trend
30 years is preferable to pin down the trend:
http://www.woodfortrees.org/plot/hadcrut3gl/from:1980/to:2010/plot/hadcrut3gl/from:1980/to:2010/trend
Do you see why 8 years of data can’t possibly tell you anything about global warming?

Basil
Editor
December 1, 2009 5:55 pm

Dirk (15:26:41) :
Basil,
Thank you for clarifying your calculation so even I can understand it- if only everyone would be as forthcoming and willing to explain their methods.
So, to close the gap between your graph, which seems to show limits on warming and cooling, and Icarus’, which seems to show parabolic warming, the issue could be that the warming periods are a bit longer than the cooling periods, true?

That’s certainly one way to look at it.
I do not think the parabolic fit is good statistical methodology, though. While there may be an upward drift in the temperature data (and maybe not as much as it seems, because of all the questions we have about the provenance of the data), I do not see any evidence that it is increasing at an increasing rate, which is what the parabolic curve implies.
But it is undoubtedly true that there has been less cooling, and more warming, in recent decades, i.e. through the period covered by Icarus’ graph. But…we had this same kind of “less cooling, and more warming” in the 1930’s, so any attempt to say that the recent warming is epic, unprecedented, or unusual depends on a distorted view of the historical record. Which, of course, is what the CRU crew was all about in the revealed emails. They were all about showing that the recent warming is unique and unprecedented, even if it meant “hiding the decline” or getting rid of “the 1940’s blip.”
My take is that there is a lot of ups and downs in the temperature record, what we call “natural climate variation,” and that we need to understand both its causes, and its frequency and range, before we can confidently conclude that we understand enough about climate change to justify the massive economic overhaul of the world’s economy that the warming alarmists are calling for.

Paul Vaughan
December 1, 2009 7:54 pm

Re: lgl (14:54:07)
Thanks for reminding me about that PDO / declination pattern.
Based in part on comments I’ve received from physicists, my thinking is currently focused on how variations in the amplitude of the terrestrial pole tide interact with the annual cycle and solar system dynamics to drive some of the more prominent variations we see in a number of geophysical indices, including aa index & temperature.
Look what happens in the decades leading up to 1940:
http://www.sfu.ca/~plv/GA_MapXL.PNG

Reading Barkin helps raise awareness of why there is so much confounding in geophysical records – for example between LOD & the subcrustal currents which tallbloke mentions – a coincidence which appears to have possibly thrown some of the world’s leading experts seriously off track – (or maybe they have very good reasons for deliberately delaying [not preventing] mainstream awareness of something…)
…No comment on the sun at this time.

Paul Vaughan
December 1, 2009 8:02 pm

Basil (12:55:41) “[…] it tends to transform the data into a stationary process […]”
I suggest revising this statement. Maybe it didn’t come across how you intended.
It’s great to have natural climate variations back on the agenda. Thanks for your very timely contribution Basil.