When will 'The Pause' in global temperature return?

By Christopher Monckton of Brenchley

Another year, another failure of global warming to occur at even half the rate originally predicted by IPCC in 1990.

CO2 emissions have increased at a rate somewhat above the high-end prediction made in IPCC’s First Assessment Report. In 2013 our sins of emission totaled 10.8 billion tonnes of carbon; in 2014 the official estimate, in the annual paper published by le Quéré et al., was 10.9 billion tonnes:

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It is debatable whether the true rate of emissions growth is anything like as small as 0.1 billion tonnes of carbon per year, given that China and now India are bringing coal-fired power stations onstream at a record rate. But the official storyline is that emissions growth has all but stopped. Nevertheless, emissions remain a very long way above any of IPCC’s CO2-stabilization scenarios.

On the business-as-usual Scenario A, IPCC (1990) predicted that global temperature would rise by 1.0 [0.7, 1.5] Cº to 2025, equivalent to 2.8 [1.9, 4.2] Cº per century. The executive summary asked, “How much confidence do we have in our predictions?” IPCC pointed out some uncertainties (clouds, oceans, etc.), but concluded:

“Nevertheless, … we have substantial confidence that models can predict at least the broad-scale features of climate change. … There are similarities between results from the coupled models using simple representations of the ocean and those using more sophisticated descriptions, and our understanding of such differences as do occur gives us some confidence in the results.”

Yet the rate of global warming since 1990 – the most important of the “broad-scale features of climate change” that the models were supposed to predict – is now below half what the IPCC had then predicted.

In 1990, IPCC said:

“Based on current models we predict:

“under the IPCC Business-as-Usual (Scenario A) emissions of greenhouse gases, a rate of increase of global mean temperature during the next century of about 0.3 Cº per decade (with an uncertainty range of 0.2 Cº to 0.5 Cº per decade), this is greater than that seen over the past 10,000 years. This will result in a likely increase in global mean temperature of about 1 Cº above the present value by 2025 and 3 Cº before the end of the next century. The rise will not be steady because of the influence of other factors” (p. xii).

Later, IPCC said:

“The numbers given below are based on high-resolution models, scaled to be consistent with our best estimate of global mean warming of 1.8 Cº by 2030 [compared with pre-industrial temperatures]. For values consistent with other estimates of global temperature rise, the numbers below should be reduced by 30% for the low estimate or increased by 50% for the high estimate” (p. xxiv).

In 1995 IPCC offered a prediction of the warming rates to be expected in response to various rates of increase in CO2 concentration. The prediction based on the actual rate is highlighted:

clip_image004

The actual increase in CO2 concentration in the two decades since 1995 has been 0.5% per year. So IPCC’s effective central prediction in 1995 was that there should have been 0.36 C° warming since then, equivalent to 1.8 C° century–1.

In the 2001 Third Assessment Report, IPCC, at page 8 of the Summary for Policymakers, says: “For the periods 1990-2025 and 1990 to 2050, the projected increases are 0.4-1.1 C° and 0.8-2.6 C° respectively.” The mid-range estimate was for 0.7 C° warming in the 36 years 1990-2025, equivalent to 1.9 C° century–1.

Table 1 summarizes these medium-term predicted global warming rates from the first three Assessment Reports:

clip_image006

It became rapidly evident that the business-as-usual global-warming predictions made by IPCC in the report that got the climate scare going were childishly wild exaggerations. The reasons for the exaggerations are many. Here are just a few. IPCC somewhat exaggerated the CO2 concentration growth to be expected in response to a given rate of emissions growth; it extravagantly exaggerated the growth of methane concentration; it greatly exaggerated the CO2 forcing; and it very greatly exaggerated the impact of strongly net-positive temperature feedbacks on climate sensitivity.

What, then, has happened to global temperatures in the real world since 1990? The answer, taken as the least-squares linear-regression trend on the mean of the RSS and UAH satellite datasets, is that the rate of global warming is less than half the mid-range rate originally predicted by IPCC in 1990, and well below even the low-end prediction:

clip_image008

The prediction zone in IPCC (1990) is shown in orange, with trend-lines in red. The real-world outturn is in dark blue and the trend on the real-world data is the bright blue line.

As far as I know, no mainstream news medium has reported this continuing and substantial discrepancy between the excitable predictions on the basis of which governments have squandered trillions for decades and the unexciting reality of a warming rate indistinguishable from natural internal variability.

It is worth looking at the entire satellite temperature record since 1979. First, RSS, whose inconvenient data showing far less warming than had been predicted are about to be revised sharply upward to bring the apparent rate of warming into accordance with the Party Line:

clip_image010

Next, UAH, whose dataset used to show a higher warming rate than all other datasets. However, adjustments were made last year when it was discovered that onboard instrumentation was heating the platinum-resistance thermometers, and UAH now shows a lower warming rate than all other datasets:

clip_image012

Taking the mean of the RSS and UAH datasets shows that the long-term rate of warming across the entire 39-year period since 1979 was just 1.3 C° century–1 equivalent, or less than half of IPCC’s mid-range prediction in 1990:

clip_image014

It is essential to the high-climate-sensitivity theory profitably advanced by IPCC that the rate of global warming should not decline as the greenhouse gases in the atmosphere continue to accumulate, particularly where they continue to accumulate at a rate above IPCC’s original business-as-usual prediction.

A simple method of testing whether the rate of global warming has increased since 1979 is to determine the least-squares linear-regression trend on the data from a more recent starting date. I have chosen 1997, because that was just before the 1998 El Niño took hold. The mean of the two satellite datasets shows warming since 1997 at less than two-thirds of a degree per century, or just under half of the warming rate for the entire period since 1979.

clip_image016

Contrary to the high-sensitivity notion that continues to hold the international governing class in thrall (with the commendable exception of the incoming U.S administration), the rate of global warming is not accelerating. It is declining.

Some caution is necessary. At the turn of the millennium the Pacific Decadal Oscillation, an approximately 60-year cycle in ocean behavior which typically manifests itself as about 30 years’ warming followed by 30 years’ cooling, ended an unusually sharp positive (warming) phase and entered its negative (cooling) phase. It is possible, therefore, that some contribution from anthropogenic emissions is overlain upon this natural cycle, giving a false appearance of very rapid manmade warming from 1976-2000 and of little or no warming since.

What is now undeniable, however, is that the contribution of anthropogenic influences to global temperature is considerably less than had originally been predicted. How do I know this? Because IPCC itself has realized it cannot retain what little credibility it has left if it continues to make absurdly exaggerated medium-term predictions. It has all but halved them:

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As every opinion poll shows that (as with Brexit and Trump) the people are no longer buying the Party Line, the only way They can now keep the dying climate scare alive is to leave Their long-term predictions unaltered, and to count on their poodles in the mainstream media to fail to report either the growing discrepancy between IPCC’s original medium-term predictions and observed reality or IPCC’s own near-halving of those predictions.

Mark Boslough, one of the few remaining climate extremists who has not yet slunk away into the long night, has provided an intriguing indication of the Party’s increasing desperation by offering $25,000 to anyone who will bet that GISS’ global temperature for 2017 will exceed that for 2016. There may be a la Niña this year, so that would be a bet worth taking – if, that is, one could trust GISS to maintain an honest global-temperature dataset.

It is not for me to cast nasturtiums at Dr Schmidt, so I shall say no more than that I’d happily take that bet if it were based on either the HadCRUT4 dataset now that the extremist Jones has gone or the mean of the RSS and UAH datasets even after Dr sMears has tampered with the RSS dataset to bring it into line with the tampering of the terrestrial datasets. But I shall take no decision based on any climate information from NASA until Mr Trump has reformed those racketeers.

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Nick Stokes
January 7, 2017 11:20 pm

“The effect of this 240 TIMES the CO2 change, is ZERO. It has no impact on temperatures whatsoever.”
You don’t know that. You don’t know how the Earth would vary if it were absent or changed.

Nick Stokes
Reply to  Nick Stokes
January 7, 2017 11:43 pm

Effect means that it makes a difference. But difference to what? We have known nothing else.
There is an annual cycle in global temperature. That is made up of a perihelion effect, land distribution etc. It’s not possible to separate the perihelion effect.

Another Ian
Reply to  Nick Stokes
January 7, 2017 11:48 pm

As usual he’s hoping

Nick Stokes
Reply to  Nick Stokes
January 7, 2017 11:58 pm

In fact, variation of perihelion with time of year is one of the Milankovitch cycles, period 23-30 ka, associated with glaciations. So it’s hard to say that no effect has been observed.

Nick Stokes
Reply to  Nick Stokes
January 8, 2017 12:07 am

Forrest,
I don’t see what is puzzling you. I simply said that we have no observations to base a judgement of the effect of the annually varying solar flux. As an update, I think the Milankovitch cycle which varies time of perihelion through the year does give some basis. And the effect could be quite large.

Nick Stokes
Reply to  Nick Stokes
January 8, 2017 12:21 am

” the magnitude of annual changes”
There is the misunderstanding. No, it compared with the annual changes due to fluctuating solar flux with distance of earth from sun. And it’s that “due to” for which we have no useful experience (because it has always been there), except maybe on a glacials scale.

Nick Stokes
Reply to  Nick Stokes
January 8, 2017 12:29 am

“Intemperate”?
I said “You don’t know that”. Just true. You can’t say it has zero impact unless you have something to compare with..

RW
Reply to  Nick Stokes
January 8, 2017 1:12 am

The southern hemisphere gets hit harder by the sun during summer than the northern hemisphere does in its summer. Follow the direct line of incident from the sun to earth as the earth spins each day and every day throughout the year for years and one should notice that the energy is greatest in January and weakest in July, on average across many many years. Does it affect temperature? Consult sattelite data?

hunter
Reply to  Nick Stokes
January 8, 2017 4:13 am

But we do know that the trends in climate that matter – dangerous weather – are all flat to trivial. 0.02 this or that is meaningless unless it leads to problems increasing. Not even Nick in his most obscure can honestly show increasing dangerous weather. That’s why the defenders of the climate apocalypse have to defend the tiny irrelevant details.

Bruce Cobb
Reply to  Nick Stokes
January 8, 2017 6:43 am

Given the Null Hypothesis which is that the warming we have seen is a natural occurrence, and that no manmade warming signal to date has been spotted, then the idea that we don’t know if there has perhaps been some small warming effect due to man’s CO2 is moot. The Alarmists have lost, and are left with the laughably illogical Precautionary Principle.

Reply to  Bruce Cobb
January 8, 2017 12:45 pm

+100

scraft1
Reply to  Nick Stokes
January 8, 2017 4:15 pm

Get a life, Forrest. “Intemperate”?

Reply to  Nick Stokes
January 8, 2017 8:05 pm

Forrest there is no effect on total insolation by moving from perihelion to aphelion, so it’s not surprising that it’s not noticed.

KenB
January 7, 2017 11:48 pm

Nick not knowing has never stopped the alarmist twisters from declaring they know better than the data and other scientists.

tony mcleod
January 8, 2017 12:06 am

Here is another desperate headline from 5 years ago:
Global Ocean Heat Content Is Still Flat
http://i55.tinypic.com/2i7qn9y.jpg
With Bob’s breathless words beneath:
“HOW MANY MORE YEARS UNTIL GISS MODEL-E CAN BE FOUND TO HAVE FAILED AS A PREDICTOR OF THE IMPACTS OF ANTHROPOGENIC GREENHOUSE GASES ON OCEAN HEAT CONTENT?
As far as I’m concerned, they have already failed…”
It’s an endless shell game, with the fan club cheering on any slight dip on a graph or winter freeze.
Cherry-picked graphs with big meaningless arrows:comment image
Whoops, wrong graph…
http://oi54.tinypic.com/28ix0yc.jpg
Here is what actually happened to that flat-lining ocean heat content:comment image
Gathering heat, hiding in plain view, but only if you look.
And another thing, forelock tugging is contemptible.

Editor
Reply to  tony mcleod
January 8, 2017 12:56 am

tony mcleod, there was nothing “desperate” or “breathless” in the posts that accompanied those graphs. I simply presented data. And as you’ll recall, the NODC had to tweak the 0-700m data to show that flattening, otherwise, the ARGO data showed the global oceans cooling.
Your comment also fails to note is that the NODC 0-2000 meter data based on the ARGO data wasn’t released until after that post.
You’ve also failed to acknowledge that the accumulation of heat in the oceans is roughly half that predicted by climate models, a.k.a. Trenberth’s missing heat. See the post:
https://bobtisdale.wordpress.com/2016/02/28/climate-models-are-not-simulating-earths-climate-part-3/
Have a good day.

tony mcleod
Reply to  Bob Tisdale
January 8, 2017 3:09 am

“I simply presented data.”
Well, you did a bit more than that. You interpreted is and gave your opinion in UPPER CASE.
I understand why you highlight these little dips, but to shout FAIL each time there is one is disingenuous.

Resourceguy
Reply to  Bob Tisdale
January 8, 2017 8:52 am

Thanks Bob, I always learn a lot from you.

RW
Reply to  tony mcleod
January 8, 2017 1:19 am

How much water is there in the ocean? By how much does adding that many joules to the ocean raise its temperature?

Reply to  RW
January 8, 2017 5:19 am

RW has asked the right question. The ocean heat content is not measured directly but is calculated from the ocean temperature. For the first 11 years of the ARGO dataset, the oceans warmed at a rate equivalent to 1 Celsius degree every 430 years.

tony mcleod
Reply to  RW
January 8, 2017 7:25 pm

Mmm… I see what you mean.
http://jonova.s3.amazonaws.com/graphs/ocean/global-ocean-temperature-700m-models-argo.gif
Sunsettommy “show a very different picture”
Yes you did. I’m attempting to get an overall trend, not small bits which may be higher or lower. I can post a picture of a higher bit if that would help you.

Reply to  tony mcleod
January 8, 2017 8:27 am

Meanwhile many brand new research papers show a very different picture,when you look at it long term:
North Atlantic Cooling Has Plunged Below 1950s (And 1800s) Levels – And Scientists Project More Cooling
http://notrickszone.com/2017/01/05/north-atlantic-cooling-has-plunged-below-1950s-and-1800s-levels-and-scientists-project-more-cooling/#sthash.PAvPNr50.dpbs

Reply to  Sunsettommy
January 8, 2017 8:49 am

Forgot to say that North Atlantic waters have been COOLING for many centuries,according to to a number of new published science research.
In the link the show cooling back to the mid 1800’s,cooling back to the MWP and Cooling since the Peak warm period 10,000 years ago.

bit chilly
Reply to  Sunsettommy
January 9, 2017 6:29 pm

i look to the pdo, amo and nao (at a glance appears to be a proxy for jet stream patterns) . if these are the indicators for temperature trends in the northern hemisphere that they look to me, well there will be a lot of unemployed climate scientists within the next ten years.
great thing about the peanut gallery is it won’t make a great deal of difference to me unless i am correct as my fishing will get a whole lot better 🙂

Robert W Turner
January 8, 2017 12:07 am

Time to leave the UN and reform the League of Nations.

Ernest Bush
Reply to  Robert W Turner
January 8, 2017 8:38 pm

How about we do away with all Globalist organizations. The UN is possibly the most corrupt organization in the Universe. The League of Nations blinked, allowing Hitler to build up a large army in front of their eyes.
Modern communications can allow any national government to talk to any other national government instantaneously. For that matter, any individual can talk to any other government instantaneously. However, some would be shot for doing so.

Ernest Bush
Reply to  Ernest Bush
January 8, 2017 8:39 pm

Sorry. That was off topic for sure.

bit chilly
Reply to  Ernest Bush
January 9, 2017 6:30 pm

yes it was, but nice to hear anyway.

January 8, 2017 1:05 am

Is it really apples to apples comparing the land surface temperatures when those original data have now been adjusted?
Have the models been re-run based on the adjusted starting scenario’s?

Nick Stokes
Reply to  Lord Beaverbrook
January 8, 2017 1:34 am

“when those original data have now been adjusted?”
The original temperature data has not been adjusted, and is readily available. People calculate indices using homogenised data. But you can use the original; it makes very little difference.
Saying you should use troposphere data rather than surface because of some imgined dounts about surface is like the man looking for his keys under the streetlamp. He actually dropped them in another street, but that was unlit, so he chose to look where there was light. Troposphere data is not more reliable, as you can tell since UAH5.6 tells a different story to V6, and RSS V3.3 to V4. But in any case, it isn’t surface data. That’s what you need to check a surface projection.

RW
Reply to  Nick Stokes
January 8, 2017 1:46 am

I don’t follow your argument here. Isn’t the correlation between UAH and RSS pretty darn high? That suggests they are reliable. Perhaps you meant to critique the validity of the sattelite measurements. They show impressive sensitivity to the two recent large el Nino and suggests validity. I still have never seen an argument for why we shut ignore the sattelite data or weigh it anything other than 100% for editing the agw hypothesis.
The problem is not the surface data and so the solution sn’t there. The problem for agw proponents to address is the sattelite data.

Nick Stokes
Reply to  Nick Stokes
January 8, 2017 1:55 am

“Isn’t the correlation between UAH and RSS pretty darn high?”
It depends on the versions. I commented on the large change in going from UAH5.6 to UAH6 here. It is exemplified in this plot comparing some trends of surface and UAH:comment image
You can see that V5.6 was agreeing with surface, while V6 shifted into good agreement with RSS V3.3 TLT. But meanwhile RSS has deprecated V3.3 and brought out V4, which behaves more like UAH V5.6.

Bartemis
Reply to  Nick Stokes
January 8, 2017 7:31 pm

This is legerdemain. There is not a big difference between UAH versions:
http://woodfortrees.org/plot/uah5/from:2000/plot/uah6/from:2000
All you’ve done is highlight that trend lines are very sensitive to noise over short timelines.

Nick Stokes
Reply to  Nick Stokes
January 8, 2017 7:55 pm

Here is the same plot with trends. They are significantly different. Yes, they are short term. Short term trend is what this head post is about.

Reply to  Nick Stokes
January 19, 2017 7:50 am

Surely the original model runs that for instance UKMO graphically represent to show how good their historical forecasting have been are based on incorrect data as it has been adjusted since the models were run. Thus making the model runs subsequently incorrect and useless. No street lamps involved what so ever.

richard verney
January 8, 2017 1:20 am

There appears to be quite some disconnect between the title and the article. Interesting as the article may be, it does not appear to address the question posed. Of course, no one knows the future so that any prediction rests a great deal upon speculation and conjecture. For my two pennyworth;
I do not like using hundredths of a degree. Essentially, during the first period of the record from inception at launch through to the run up of the 1997/98 Super El Nino there is a warming of about 0.1degC. Then following the 1997/98 Super El NIno through to the run up to the latest 2015/16 Strong El Nino there is no statistical warming at all. It is merely that coincident with the Super El Nino of 1997/98 there has been a long lasting step change in temperatures of about 0.3degC, the reason for which is unknown but such a step change cannot be explained by CO2.
The first period is dominated by the two well known volcano events and the recovery from those.
Why anyone would put a linear straight line through this record is beyond me.
It will be interesting to see what happens once the current ENSO completes. This cycle has not yet completed, and for that reason one should not pay much weight to the current uptick brought about by the strong 2015/16 El Nino.
The issue is quite simple. Will the strong 2015/16 El Nino result in a short lived spike as happened with the 2010 strong El Nino? Will the current ENSO cycle complete with a La Nina in 2017 and temperatures return back down to around the +0.2 degC anomaly level (UAH)? Or will there be a long lasting step change coincident with the 2015/16 strong El Nino as there was with the 1997/98 Super El Nino?
If there is no long lasting step change coincident with the strong 2015/16 El Nino that El Nino will be seen to be a dud. In this scenario, the pause is likely to make a reappearance in 2017/18 and will then be over 20 years in duration and cover a period when almost 40% of all manmade emissions of CO2 have taken place all without any signature warming.
The satellite data appears to be more sensitive to El Nino events than it does to La Nina events. This may be because of convection and warmth released by EL NInos. So even IF a La Nina does develop in 2017, unless this is a strong La Nina, or lasts a long time, perhaps a double one, it will take time to cancel out the high peak of 20/15/16, but it is quite conceivable that by the time AR6 comes to be written the pause will have made a reappearance, and there will be papers discussing ever lowering sensitivities for Climate Sensitivity to CO2, model divergence issues, and explaining the pause which did exist, then ceased to exist and once more exists. There could well be a lot of cartwheels, and AR6 could be particularly interesting especially with a sceptical Trump administration.
The article rightly notes:

It is essential to the high-climate-sensitivity theory profitably advanced by IPCC that the rate of global warming should not decline as the greenhouse gases in the atmosphere continue to accumulate, particularly where they continue to accumulate at a rate above IPCC’s original business-as-usual prediction.

Materially, one thing that appears clear from the satellite data and that is that there is no first order correlation between CO2 and temperature rise in the satellite data. That is a record of nearly 40 years, and about 60% of all manmade CO2 emissions.
A cold US winter will help the Trump administration. Whilst this is only weather, psychologically, recent weather has an impact upon people’s perception, and the general population are likely to be more receptive to Trump’s sceptism if they have just experienced a hard winter.
As they say, watch this space as 2017/18 could get very interesting.

bit chilly
Reply to  richard verney
January 9, 2017 6:35 pm

richard, one explanation for the step up in temperature after the 98 el nino could well be the amo becoming increasingly positive thereafter .

January 8, 2017 2:57 am

No disrespect to the noble lord, but in my view however odd, the global temperature graphs make no sense, global temperature is an artificial construct with no physical meaning.
At any moment in time global temperatures will have difference of at least 50+ degrees centigrade; averaging such values to obtain precision of the order of 0.01C is no better than meaningless.

Nick Stokes
Reply to  vukcevic
January 8, 2017 3:11 am

No sensible person averages global temperatures. They average anomalies.

Reply to  Nick Stokes
January 8, 2017 3:52 am

“No sensible person averages global temperatures. They average anomalies.”
Yes, the accrual temperatures are not very scary at all when you add a few hundredths of a degree to 78 degrees for example. “the high today will be 78 degrees or the high today will be 78.03 degrees” does not scare enough.
And the graphs! Oh my God can you play with the scale of the y axis to make the graphs look like action is needed when you use anomalies.
If this posts I’ll be surprised, but it shows the horror of using real temperatures for people like Stokes.
http://4.bp.blogspot.com/-lSamQQz9oZ0/WFAvCyImhNI/AAAAAAAABro/N7XtkjWLfJICICeKqOBZKPhMwO3ZrNyzgCK4B/s1600/average%2Bannual%2Bglobal%2Btemp%2Bin%2BF%2BCWN3D6nWUAUmQWW.png

Reply to  Nick Stokes
January 8, 2017 4:07 am

Temperature anomaly is a divergence from a long-term average
It the final analysis it all boils down to the same thing.

hunter
Reply to  Nick Stokes
January 8, 2017 4:17 am

We experience temperature not anomalies. And playing with only the anomalies does give an implicit advantage to deceptive and alarmist hype.

CheshireRed
Reply to  Nick Stokes
January 8, 2017 4:51 am

Avert your gaze from Mark Stoval’s graph Nick. It’s too horrific to contemplate.

Nick Stokes
Reply to  Nick Stokes
January 8, 2017 4:52 am

“It the final analysis it all boils down to the same thing.”
No, it’s very different and answers your objection. It’s true that there is a huge variation in absolute temperature, and you’d have to be very careful with sampling. But there is a much smaller variation in anomaly. And it is much less variable from place to place.

Sheri
Reply to  Nick Stokes
January 8, 2017 7:40 am

Why?

Jim G1
Reply to  Nick Stokes
January 8, 2017 7:48 am

Markstoval,
Thanks for the real temperature chart. As I have previuosly noted, this chart should accompany all the anomaly charts to give some sense to what is being discussed. The .02 F increase 1998 to 2016 also says a great deal about what is actually going on. I find it very unlikely that such an increase can even be measured given instrument sensitivity and statistical significance considerations.

Bindidon
Reply to  Nick Stokes
January 8, 2017 10:11 am

markstoval on January 8, 2017 at 3:52 am (and many other commenters thinking the like)
… are not very scary at all when you add a few hundredths of a degree to 78 degrees for example. “the high today will be 78 degrees or the high today will be 78.03 degrees” does not scare enough.
You are probably the 100th person publishing things like that.
It is bare nonsense. Because professionals and lay(wo)men mostly won’t restrict temperature plots to one series, but rather will compare them.
1. Here is a plot of a monthly temperature record for the USA (GHCN unadjusted, absolute temperatures):
http://fs5.directupload.net/images/170108/r9fz84rf.jpg
2. Here is a plot of a monthly temperature record for the Globe (GHCN unadjusted, absolute temperatures):
http://fs5.directupload.net/images/170108/m9vvcp3z.jpg
3. Now imagine you want to compare the plots by merging them into one chart. Here is what you obtain:
http://fs5.directupload.net/images/170108/tb3f7gs3.jpg
What in the world will you do with such a stuff?
4. And that’s what you obtain if you use data relative to a common level:
http://fs5.directupload.net/images/170108/cjfy9xb9.jpg
NB: this makes few sense for this example, but these two datasets are the only ones I have in absolute form right now. I never use absolute data. What for?
5. Here is a chart with some plots to compare:
http://fs5.directupload.net/images/170108/66qwdpzw.jpg
Imagine they would all be in absolute form, e.g. UAH6.0 TLT. Average absolute temperature at UAH’s measurement altitude is around 264 K, i.e. -9 °C.
How could you ever manage to compare such data with a surface record at over 15 °C?
Or imagine you want to compare temperatures with an El Niño index, or the AMO, or the atmospheric CO2 concentration. What is the sense of ‚absolute‘ here?
That’s one of many reasons to use anomalies you can shift to a common baseline at any time.

Bindidon
Reply to  Nick Stokes
January 8, 2017 10:32 am

Jim G1on January 8, 2017 at 7:48 am
… this chart should accompany all the anomaly charts to give some sense to what is being discussed.
What is this request for? What is the sense of knowing e.g. the absolute temperature measured by a radiosonde at 13 different pressure levels?
What is important is to know what you compare with them, e.g. satellite anomalies originating from the proper altitude fitting to a given radiosonde atmospheric pressure.
We all know that anomalies are nearly infinitesimal compared with the absolute values thy were computed out!
The question is: why do you feel the need to endless repeat that evidence?

Jim G1
Reply to  Nick Stokes
January 8, 2017 12:21 pm

Bindidon,
It is the y axis scale which I detest as it exagerates the changes when anomalies are used and a little reminder of the infinitesimal changes which are often used by the mass media to make claims like “warmest year ever” when the difference is .02 degrees F which is not within the significance boundaries of statistics nor instrmental sensitivity. As I pointed out in my last comment.

Reply to  Nick Stokes
January 8, 2017 12:44 pm

“It is bare nonsense. Because professionals and lay(wo)men mostly won’t restrict temperature plots to one series, but rather will compare them.”
Sure, professionals use anomalies for the reasons outlined in “How to Lie with Statistics”. A gem of a book. I have taught kids how to use the y-axis to make a graph look “SCARY” for over four decades and it saddens me to see people still not understand how they are being fooled.
But you do have a point. Those working in climate “science” don’t really seem to understand the scientific method at all. They do understand the “political method” though.

Bindidon
Reply to  Nick Stokes
January 8, 2017 12:45 pm

Sorry Jim you’ll have to live with that. But detesting a technical detail just because of its misuse by mass media? Wow.
What I detest is all stuff of this kind, and that’s no technical detail at all:

If this posts I’ll be surprised, but it shows the horror of using real temperatures for people like Stokes.

This is attack ad hominem. Disingenuous.

Jim G1
Reply to  Nick Stokes
January 8, 2017 1:07 pm

Bindidon,
What’s the “wow”? Sounds like your panties are in a permanent twist. Chill out, partner.

Bindidon
Reply to  Nick Stokes
January 9, 2017 3:02 am

markstoval on January 8, 2017 at 12:44 pm
Don’t ask me why: I anticipated this reply.
Decades ago I had endless discussions with teachers (moreover affiliated to the german communist party, terrible persons).
All discussions ended in the same blind-alley: they answered to all technical points with this strange mix of ideology-based thoughts and of this typical attitude of teachers reducing the world to what they teach to kids.
Thanks for reminding me that!

January 8, 2017 4:26 am

An interesting statement from the anthropogenically warmed BBC news studio
“Temperatures in parts of Europe are below those in the Arctic !”
Selling the CAGW to the Europeans may not be so easy in the next few months.
I suppose it must be caused by the global warming, or is it that all the excess CO2 got us over tipping point, now CO2 is cooling rather than worming the earth.

January 8, 2017 5:19 am

The pause in global temperatures has never left, and not only is a pause taking place now but actually lower global temperatures are taking place presently and this will continue.

January 8, 2017 5:21 am
DWR54
January 8, 2017 5:30 am

Lord Monckton wrote:
“… the rate of global warming since 1990 – the most important of the “broad-scale features of climate change” that the models were supposed to predict – is now below half what the IPCC had then predicted.”
____________________
Using the ‘business as usual’ scenario (A), the IPCC 1990 report predicted warming of ~0.3 C per decade with a lower uncertainty range of ~0.2 C per decade “during the next century”. This would result in warming of “about 1°C above the present value by 2025.”
Using the average monthly anomalies of HadCRUT4, GISS and NOAA (per the WMO method) the total observed warming between Jan 1990 and Nov 2016 is ~0.5 C and the trend over that period has been just fractionally below ~0.2 C per decade. Given that the IPCC report stated that “the rise will not be steady because of the influence of other factors”, and that the 1.0 C figure refers to temperatures by 2025 based on 0.3 C/dec rise, observations so far are quite close to the lower uncertainty range of the 1990 IPCC predictions.
So whilst observations have been on the low side, they have certainly not been “below half” of what was predicted. The only way anyone can claim that is to ignore the stated uncertainty then compare the predictions against satellite lower troposphere data, which wasn’t even in use back then, rather than the global surface data upon which the 1990 IPCC forecasts were based.

afonzarelli
Reply to  DWR54
January 8, 2017 8:48 am

December anomolies for the satellite data are .2C below november’s. If the surface data follows suit, that will cut your .5C down to .3C. It’s never good to draw conclusions around the time of an el nino or la nina. (plenty a sceptic is still wiping the egg off their faces from doing just that back in ’08)…

DWR54
Reply to  afonzarelli
January 8, 2017 3:05 pm

afonzarelli wrote:
“December anomolies for the satellite data are .2C below november’s. If the surface data follows suit, that will cut your .5C down to .3C.”
_______________________
No it won’t. The 0.5 C figure is based on linear regression of 323 monthly anomaly values, starting from Jan 1990 and ending in November 2016. December 2016 will add precisely 1 (one) new datum point to that scale. A month-on-month fall of -0.2 C between November and December 2016 would make practically no difference to the long term trend. It would be completely swallowed up in the noise.

Bindidon
Reply to  DWR54
January 8, 2017 10:38 am

Exactly.

Bindidon
Reply to  Bindidon
January 8, 2017 12:29 pm

Oh… this reply was to DWR54 on January 8, 2017 at 5:30 am

Reply to  DWR54
January 8, 2017 5:26 pm

DWR54 should consider that the world has warmed at half of IPCC’s centrally-predicted rate since 1990; that the warming rate, on all datasets, is below its predicted 2-sigma lower bound; and that the warming rate, far from accelerating as IPCC had predicted, seems to be declining, notwithstanding that one-third of Man’s entire influence on global temperature has occurred over the past couple of decades.

Another Doug
January 8, 2017 5:38 am

Mark Boslough, one of the few remaining climate extremists who has not yet slunk away into the long night, has provided an intriguing indication of the Party’s increasing desperation by offering $25,000 to anyone who will bet that GISS’ global temperature for 2017 will exceed that for 2016.

Please read and understand what you’re writing about before doing so. Boslough actually is wagering that the 30 year global average ending 2017 will be higher than any other previous 30 year average. Do the math…it’s a sucker’s bet regardless of the data set.

Reply to  Another Doug
January 8, 2017 5:22 pm

The dreadful Boslough is, as usual, away from the real point of the debate, which is not whether there has been global warming (there has) but how much of it is attributable to Man and, therefore, how much warming we may expect in future. I had the displeasure of meeting him at the Los Alamos climate conference, where I did not get the impression that he was what Al-Haytham used to call “a seeker after truth”. He is a propagandist, nothing more.
And yes, I see that he is taking 30-year averages. Little rests on that point.

Shawn Marshall
January 8, 2017 6:22 am

Dr. Tim Ball has an article endorsing the Slayersat Principia.

Dr Snowball
January 8, 2017 6:47 am

Global warming is real and it’s increasingly clear man has very little to do with it. Carry on.

Reply to  Dr Snowball
January 8, 2017 12:59 pm

Thank you, muchly.

tony mcleod
Reply to  Dr Snowball
January 9, 2017 2:56 am

So what is causing it Dr?

TA
Reply to  tony mcleod
January 9, 2017 10:04 am

Mother Nature, tony. That has to be the assumption until proven otherwise.

tony mcleod
Reply to  tony mcleod
January 10, 2017 3:04 am

Sorry mate but explanations like “God done it” don’t really advance the discussion.

JDN
January 8, 2017 8:00 am

Where to get raw satellite imagery of N. hemisphere? Every time I look for it, it appears impossible to find. I’ve asked here before, but no reply. I guess I’ll ask again. Who has a satellite up there that isn’t affected by AGW funding?

D.I.
Reply to  JDN
January 8, 2017 11:26 am

You could try looking around this site,
http://www.eumetsat.int/website/home/index.html
Or this one,
http://www.sat24.com

JDN
Reply to  D.I.
January 8, 2017 4:35 pm

Thanks

JDN
Reply to  D.I.
January 8, 2017 4:39 pm

On second thought, these don’t appear to be legitimate options. I don’t see a way to view raw images at any sort of resolution that would allow me to question sea ice measurements.

Rob
January 8, 2017 8:15 am

With the natural heat bump from El Niño 2016 now gone and an honest, common sense President…the entire imaginary crisis is likely to disappear rather quickly.

Jerry Henson
January 8, 2017 8:34 am

This winter is going have a negative effect on “public Opinion”. The MSM’s habit
of calling weather “climate” will not serve, as the “Low information public” see
enormous amounts of “climate” falling in California’s mountains with much more
expected.
http://www.latimes.com/local/lanow/la-me-ln-atmospheric-river-prepare-20170105-story.html?14836814709136

Resourceguy
January 8, 2017 8:48 am

Error is what happens when you model and make predictions without regard to medium and long run natural cycles plus differences in El Nino strength over decades of time. Such details got in the way of the mission of the IPCC in providing clear and scary predictions for policymakers in a hurry to run with it. This is a standard tactic of policy overreach by the way in many other areas of government and social spending.

Rick
January 8, 2017 8:53 am

“Yes Nick. Intemperate”
Hasn’t that always been the case with Mr. Nick Stokes. In Nick’s world anyone skeptical of CAGW is just lacking a basic understanding of the words that comprise the science. Essentially skeptics haven’t properly parsed the sentences associated with the science of CAGW.
After you have done it his way it all makes perfect sense.

Chris
Reply to  Rick
January 9, 2017 5:16 am

Not intemperate, succinct and to the point. I don’t blame him, folks here constantly ask him to do analysis they are capable of doing themselves.

January 8, 2017 9:06 am

What’s the point of discussing atmospheric temperature measurements at a fraction of a degree centigrade over decades? It ranges well over hundred degrees at any point of time.
If we have to bet on something, that’s why I’d bet the whole discussion torturing anyone even remotely familiar with scientific method, statistical significance, metrology and/or Heisenberg’s uncertainty principle. Drawing parallels with Brexit does nothing else than drags respectable scientists into David Cameron’s definition of fruitcakes, loonies and closet raçists.

hunter
Reply to  jaakkokateenkorva
January 8, 2017 10:17 am

Exactly. Declaring a crisis over fractions of a degree in a system that naturally varies 50 – 60 degrees regularly, with 10’s of degrees fluctuations around those numbers is non-rational.

tony mcleod
Reply to  hunter
January 9, 2017 2:58 am

Still don’t get the difference between weather and climate? C’mon guys.

Tim Groves
Reply to  hunter
January 9, 2017 4:47 am

When I went out for a walk with the dog this morning, I noted that the weather had changed. On further reflection, I concluded that the climate had not. For 25 years I’ve been waking dogs in this same valley in all sorts of weathers and the climate hasn’t budged an inch. It was Cfa (Humid Subtropical Climate) then and it’s Cfa now. Still no chance of growing avocados or bananas without a greenhouse,

ferdberple
January 8, 2017 9:37 am

Lord Monckton.
When considering if warming is statistically significant, doesn’t it make a difference what PDF is assumed? For example, is it reasonable to assume that temperature is normally distributed? Could it not be true that temperature is a fractal distribution, a power-law distribution of some kind?
In which case, doesn’t this make it MUCH MORE likely that observed temperature change is simply natural? That the standard deviation based on the assumption of a normal distribution will underestimate the true natural variance? Has climate science underestimated natural variability, under the naive assumption that climate is normally distributed?
From wikibible:
“…this makes it incorrect to apply traditional statistics that are based on variance and standard deviation (such as regression analysis).”
https://en.wikipedia.org/wiki/Power_law

Reply to  ferdberple
January 8, 2017 5:18 pm

Ferd Berple raises an interesting question. There is a small degree of seasonally-driven auto-correlation; but, aside from that, the fluctuations in global temperature are best described as stochastic rather than normally distributed. The short-term fluctuations are plainly not attributable to CO2, since its rate of concentration increase in the atmosphere is near-monotonic and temperature changes are stochastic.
The truth is that there has not been enough global warming yet to attribute a significant fraction of it to anthropogenic influence. IPCC’s original forecasts were excessive, and that is the main point. It’s not “worse than we thought” – in fact, the global warming trend in the latter half of the period of satellite record is less than the trend throughout the entire record. This slowing of the warming rate is the contrary of what was confidently but misguidedly predicted.

ferdberple
Reply to  Monckton of Brenchley
January 12, 2017 10:55 am

Lord Monckton. Thank you for your reply. It is my understanding that stochastic processes can fit a wide range of PDF’s, including fractal distributions (inverse power-law). Here are some references showing temperature to be a power-law function:
Recent research has shown that some aspects of climate variability are best described by a
“long memory” or “power-law” model. Such a model fits a temporal spectrum to a single
power-law function, which thereby accumulates more power at lower frequencies than an
AR1 fit. Power-law behavior has been observed in globally and hemispherically averaged
surface air temperature (Bloomfield 1992; Gil-Alana 2005), station surface air temperature
(Pelletier 1997), geopotential height at 500 hPa (Tsonis et al. 1999), temperature paleoclimate
proxies (Pelletier 1997; Huybers and Curry 2006), and many other studies (Vyushin and
Kushner, 2009).
https://arxiv.org/ftp/arxiv/papers/1002/1002.3230.pdf

nc
January 8, 2017 9:43 am

Considering the cold weather happening in a lot of areas, where are the ardent warmers. People like Gore, Suzuki, DiCaprio etc. wonder if they are vacationing in warmer climes? They seem to be rather quiet lately. I guess its hard to make irrational noise while sipping a margarita on an overheated beach somewhere.

ferdberple
January 8, 2017 9:50 am

“One attribute of power laws is their scale invariance.”
https://en.wikipedia.org/wiki/Power_law
When one looks at graphs of historical temperature data, where the scale has been hidden, the appearance of the graphs is remarkably unchanged, regardless if one is looking at 100, 10000, 1 million, 1 billion years.

January 8, 2017 10:31 am

A simple method of testing whether the rate of global warming has increased since 1979 is to determine the least-squares linear-regression trend on the data from a more recent starting date. I have chosen 1997, because that was just before the 1998 El Niño took hold. The mean of the two satellite datasets shows warming since 1997 at less than two-thirds of a degree per century, or just under half of the warming rate for the entire period since 1979.

Why compare the post post 1997 trend with the trend over the entire data set?
The trend prior to 1997 shows no significant difference with that after 1997. But post ’97 temperatures are around 0.2 C warmer than pre ’97.comment image

Richard M
Reply to  Bellman
January 8, 2017 11:57 am

The problem with your picture is the first trend ends with a La Nina while the second trend ends with a super El Nino. They are not comparable. If you stop the second trend right before the El Nino, like you did with the first one, it would show no warming at all.
The entire period from 1997-2001 is very ENSO active. This gives the appearance of a step change that actually smooths out if you remove the ENSO effects.

Reply to  Richard M
January 9, 2017 7:01 am

It was Monckton’s decision to start the split just before the 98 El Nino. Here’s what the graph looks like is you split the trends at the start of 1999.comment image
The trend post ’99 is 1.14 C / Century, down from 1.57 C / century pre ’99. This would make a more persuasive case that there had been slightly less warming in some satellite data, but it’s very different to Monckton’s claim that the rate of warming was only half that of the full trend. The warming rate since 99 is only 0.15 C / Century less than the overall trend – statistically the same.

Reply to  Bellman
January 8, 2017 5:12 pm

The reason for checking the warming rate in the latter half of the dataset is that an accumulation of greenhouse gases – one-third of Man’s influence since 1750 – has occurred since 1997. Yet the rate of global warming is less than the warming rate for the entire dataset, precisely the contrary of the accelerated warming rate that was predicted.
The dreadful Schellnhumbug has said on the BBC today that there will be 4-6 K global warming by 2100. Yet the actual rate of warming so far this century is equivalent to well below half his low-end estimate.

Reply to  Monckton of Brenchley
January 9, 2017 5:23 am

I wasn’t asking why you chose 1997 as your check point, I was asking why you compared the post ’97 trend with the trend for the entire data set. The point is that arbitrarily cutting the overall trend into two pieces is misleading as you end up with two trends that are both less than the underlying trend.
You could just as easily make the reverse case and say that warming up to 1997 was less than the entire data set and conclude that warming must have accelerated since ’97.

Reply to  Monckton of Brenchley
January 9, 2017 4:12 pm

Bellhop may like to learn some elementary differential calculus. IPCC’s curve of predicted global warming is approximately exponential. It is an ineluctable characteristic of an exponential curve that the first derivative as x increases – namely, the slope of the curve at value x – will be greater than at values of x closer to the origin. That is not what is observed. Ergo, there is a discrepancy between prediction and mere reality.
Bellhop is, of course, correct that there is, in effect, a substantial step-change in global temperature coincident with the Great el Nino of 1998. But such step-changes are inconsistent with the greenhouse-gas theory, which predicts that as our enrichment of the atmosphere increases the temperature will do likewise. What mechanism is posited by Bellhop to demonstrate a causative link between these step-changes in temperature and the near-monotonic increase in Man’s theoretical effect on global temperature?
Whichever way one looks at it, the unfolding record of global temperatures is inconsistent with CO2 as the major cause of such little warming as has occurred or will occur. No doubt this is the reason why Cook et al. (2013) marked only 64 papers, or 0.5% of their 11,944-paper sample, as stating that recent warming was mostly manmade. The truth is that we don’t know, but what we do know is that neither the pattern nor the amplitude of recent warming is such as to point an unerring finger at Man.

Reply to  Monckton of Brenchley
January 9, 2017 6:23 pm

“What mechanism is posited by Bellhop to demonstrate a causative link between these step-changes in temperature and the near-monotonic increase in Man’s theoretical effect on global temperature?”
My hypothesis is that claiming a point change happened in 1997 is spurious and the discontinuity in the trend lines is evidence of that. It’s unlikely that the world’s climate would instantaneously warm by 0.2 C a year before the Great El Nino and that the extra heat would last for the next two decades. A more plausible model is that warming has been increasing linearly since the 70s and that any apparent change in the rate of warming is a statistical artifact.
It is also possible that there is a slowdown in some of the satellite data, but there is as yet insufficient evidence to conclude one way or the other. It would also need to be established if that slowdown is the result of actual changes in the climate or a problem with the satellite reconstructions.
“Bellhop may like to learn some elementary differential calculus. IPCC’s curve of predicted global warming is approximately exponential. It is an ineluctable characteristic of an exponential curve that the first derivative as x increases – namely, the slope of the curve at value x – will be greater than at values of x closer to the origin.”
I’m not sure why you think the rise in temperature is projected to be exponential, but I have to ask why in that case would you draw all your comparison graphs using linear projections? Here for example.comment image
If the projections are increasing exponentially the curve should be lower down, closer to the observed warming.
“That is not what is observed. Ergo, there is a discrepancy between prediction and mere reality.”
One would expect there to be a discrepancy between prediction and reality over the short term. The real world is noisy and it’s not possible to predict the noise.

Bindidon
January 8, 2017 10:52 am

A simple method of testing whether the rate of global warming has increased since 1979 is to determine the least-squares linear-regression trend on the data from a more recent starting date. I have chosen 1997, because that was just before the 1998 El Niño took hold. The mean of the two satellite datasets shows warming since 1997 at less than two-thirds of a degree per century, or just under half of the warming rate for the entire period since 1979.

This is doubly flawed:
– as many commenters already noted, IPCC was talking about surfaces, so it is simply useless to take tropospheric temperatures into consideration;
– it is useless as well to cut the temperature series into parts, as ENSO events will influence the result, regardless where you cut.
Better is to measure the residual warming without ENSO and volcanoes, as done by Santer, Bonfils & alii in 2014.
They computed, for RSS3.3 TLT from 1979 till 2013, a residual warming of about 0.085 °C / decade, to be compared with the original 0.125 °C at that time (0.135 °C inbetween):comment image
Of course: lots of people criticised the study’s results! But none of them managed to provide for an alternative computation.

Bill Illis
Reply to  Bindidon
January 10, 2017 7:36 am

Their residual looks awfully like the AMO Index.
Just like if you applied the same methodology using surface records going back to 1850. The Residual IS the AMO Index.
For example, here using Foster and Rahmstorf 2011 methodology extended back to 1871. I note when Grant Foster made his data available on his other personna – Tamino’s website, he actually had the AMO index in his database (which went back to 1950) and he obviously tested it then. But the study does NOT go back to 1950 or use the AMO index (among other problems like using an out-of-date PMOD composite solar index which resulted in the coefficient for the solar cycle being backwards).
http://s13.postimg.org/u9ciffzqf/Hadcrut4_without_AMO.png
The 60 year cycle in temperatures is a real natural cycle (noting it is probably not a strict 60 year cycle but varies some).
Either, the AMO index IS that driver of that 60 year cycle or it is a very good proxy for whatever is driving that 60 year cycle.
So they need to redo their study and put the AMO index in.

Bindidon
Reply to  Bill Illis
January 11, 2017 12:15 pm

Bill Illis on January 10, 2017 at 7:36 am
Their residual looks awfully like the AMO Index.
Well, Bill Illis: I would rather say you think it does because you don‘t see the AMO plot near Santer’s and Bonfils‘ work; that‘s quite different.
Below you see how the AMO index looks like when plotted near some TLT data (UAH, RSS):
http://fs5.directupload.net/images/170111/22igihhj.jpg
And of course the comparison is made here without extraction of any ENSO or volcano signal.
The same holds when comparing AMO with HadCRUT4 over AMO’s whole period starting in 1856:
http://fs5.directupload.net/images/170111/ng4xkqkq.jpg
You easily see that removing AMO’s null sum out of HadCRUT hardly could modify its underlying trend: at best some cyclic 60 year traces would be weakened.
BTW it is interesting to see the temporal and amplitude correlation between AMO and HadCRUT in the near of the 1877/78 El Niño event; but it might be random matter as well.
So they need to redo their study and put the AMO index in.
I guess that is rather your job. You owe us lots of proof here!
*
AMO data used here: https://www.esrl.noaa.gov/psd/data/timeseries/AMO/
HadCRUT4.5, UAH6.0 TLT and RSS3.3 TLT: sources as usual.

Bill Illis
Reply to  Bill Illis
January 11, 2017 5:22 pm

Okay, so one thing you should know about the AMO index is that it is detrended.
The Raw data has an upward trend so as to avoid, let’s call it contamination, with the global warming signal, the upward trend is reversed out. Not that hard to do. Just math.
But let’s just compare the Raw AMO index with the trend still in it versus Hadcrut4 (a little out-of-date now but it should serve to illustrate and if one was to bring the Raw AMO index data up-to-date, it would be exactly the same pattern).
Hadcrut4 IS the Raw AMO index.
One thing that is interesting in the AMO index also responds to the ENSO. Like the 1877-78 spike which was the biggest super-El-Nino on record but 8 months later, the AMO index also hit its highest level on record.
http://s8.postimg.org/7vabnd979/Hadcrut4_vs_Raw_AMO_Feb14.png
Okay, so the AMO and Hadcrut4 exhibit the same 60 year cycle in temperatures. The AMO region (0-60N, 0-70W) is actually a part of the Hadcrut4 record. There is some type of auto-correlation in here.
But you know, the AMO index is mostly independent of the ENSO. It spikes when there is a large El Nino but doesn’t for milder events.
There is a cycle here. Either the AMO driven by the Thermohaline Ocean Circulation System is driving this cycle or it is a good proxy for whatever is driving this cycle.
The AMO index is actually just as important (and actually a little bit more) than the ENSO is in terms of a natural climate cycle. It has a longer time-scale than the ENSO but it is just as important.

Bill Illis
Reply to  Bill Illis
January 11, 2017 5:55 pm

Just adding that I use the detrended AMO index in my reconstructions. The trend upward is assigned to ln(CO2) warming signal just to avoid the outrage that your side would bring.
But there could actually be an argument made that the Raw undetrended AMO index should be used instead. The argument would be that the AMO hasm over even longer time-scales of let’s say 500 years, even longer up and down cycles and the shorter 60 year cycle is only part of that. There are actually about 10 studies which would be consistent with that rationale.
If one was to use that argument, the global warming signal would fall to ridiculously low levels of something like 0.02 per decade. I can run this reconstruction if you want.
But the pro-warming community does not “WANT” to see factual temperature data. I’ll let it be but it would improve the reconstructions so MUCH, one would have to join the anti camp instead and throw themselves into understanding the long-term trends of the north Atlantic instead.

Bindidon
Reply to  Bill Illis
January 13, 2017 7:35 am

Just adding that I use the detrended AMO index in my reconstructions. The trend upward is assigned to ln(CO2) warming signal just to avoid the outrage that your side would bring.
Sorry: you seem to be a bit confused here. What you want to show in fact should rather be something like this:
http://fs5.directupload.net/images/170113/mlh5u7jx.jpg
But what it shows is not “HadCRUT is AMO”. It shows: “AMO is HadCRUT”.
The reason why AMO is detrended you see on NOAA’s AMO page: they wanted to show the oscillation independently of the warming.
So if you extract the warming off HadCRUT by detrending it to see how good the results correlates with the detrended AMO, you simply negate the warming present in both original series, whatever this warming is originating from (natural sources, human effects).
That is nonsense.
P.S.: Please keep this boring CO2 off the discussion. We all here know by far not enough about it.

Bill Illis
Reply to  Bill Illis
January 13, 2017 2:10 pm

So now you are agreeing with me Bindidon.
The natural AMO cycle (the version on-line which is detrended) should be used in the reconstructions.
Because it reflects the 60 year cycle in temperatures. How can account for natural cycles if you leave out of the two important ones.

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