By Christopher Monckton of Brenchley
The IPCC’s forthcoming Fifth Assessment Report continues to suggest that the Earth will warm rapidly in the 21st century. How far are its projections short of observed reality?
A monthly benchmark graph, circulated widely to the news media, will help to dispel the costly notion that the world continues to warm at a rapid and dangerous rate.
The objective is to compare the IPCC’s projections with observed temperature changes at a glance.
The IPCC’s interval of temperature projections from 2005 is taken from the spaghetti-graph in AR5, which was based on 34 models running four anthropogenic-forcing scenarios.
Curiously, the back-projections for the training period from 2005-2013 are not centered either side of the observational record (shown in black): they are substantially above outturn. Nevertheless, I have followed the IPCC, adopting the approximate upper and lower bounds of its spaghetti-graph.
The 34 models’ central projection (in yellow below) is that warming from 2005-2050 should occur at a rate equivalent to approximately 2.3 Cº/century. This is below the IPCC’s long-established 3 Cº centennial prediction because the models expect warming to accelerate after 2050. The IPCC’s upper-bound and lower-bound projections are equivalent to 1.1 and 3.6 Cº/century respectively.
The temperature scale at left is zeroed to the observed temperature anomaly for January 2005. Offsets from this point determine the slopes of the models’ projections.
Here is the outturn graph. The IPCC’s projections are shown in pale blue.
The monthly global mean UAH observed lower-troposphere temperature anomalies (vortex.nsstc.uah.edu/data/msu/t2lt/uahncdc.lt) are plotted from the the beginning of the millennium in January 2001 to the latest available month (currently April 2013).
The satellite record is preferred because lower-troposphere measurements are somewhat less sensitive to urban heat-island effects than terrestrial measurements, and are very much less likely to have been tampered with.
January 2001 was chosen as a starting-point because it is sufficiently far from the Great El Niño of 1998 to prevent any distortion of the trend-line arising from the remarkable spike in global temperatures that year.
Since the 0.05 Cº measurement uncertainty even in satellite temperature anomalies is substantial, a simple least-squares linear regression trend is preferred to a higher-order polynomial fit.
The simplest test for statistical significance in the trend is adopted. Is the warming or cooling trend over the period of record greater than the measurement error in the dataset? On this basis, the zone of insignificance is shown in pink. At present the trend is at the upper bound of that zone and is thus barely significant.
The entire trend-line is beneath the interval of IPCC projections. Though this outcome is partly an artefact of the IPCC’s unorthodox training period, the slope of the linear trend, at just 0.5 Cº/century over the past 148 months, is visibly below half the slope of the IPCC’s lower-bound estimate of 1.1 Cº/century to 2050.
The principal result, shown in the panel at top left on the graph, is that the 0.5 Cº/century equivalent observed rate of warming over the past 12 years and 4 months is below a quarter of the 2.3 Cº/century rate that is the IPCC models’ current central projection of warming to 2050.
The only moment when the temperature anomaly reached the IPCC’s central estimate was at the peak of the substantial el Niño of 2010.
The RSS dataset, for which the April anomaly is not yet available, shows statistically significant cooling since January 2001 at a rate equivalent to 0.6 Cº/century.
Combining the two satellite temperature datasets by taking their arithmetic mean is legitimate, since their spatial coverage is similar. Net outturn is a statistically insignificant cooling at a rate equivalent to 0.1 Cº/century this millennium.
The discrepancy between the models’ projections and the observed outturn is startling. As the long period without statistically-significant warming (at least 17 years on all datasets; 23 years on the RSS data) continues, even another great el Niño will do little to bring the multi-decadal warming rate up to the IPCC’s least projection, which is equivalent to 1.1 Cº/ century to 2050.
Indeed, the maximum global warming rate sustained for more than a decade in the entire global instrumental record – equivalent to 1.7 Cº/century – is well below the IPCC’s mean projected warming rate of 2.3 Cº/century to 2050.
This discrepancy raises serious questions about the reliability of the models’ projections. Since theory would lead us to expect some anthropogenic warming, its absence suggests the models are undervaluing natural influences such as the Sun, whose activity is now rapidly declining following the near-Grand Maximum of 1925-1995 that peaked in 1960.
The models are also unable to predict the naturally-occurring changes in cloud cover which, according to one recent paper echoing a paper by me that was published three years ago, may have accounted for four and a half times as much warming from 1976-2001 as all other influences, including the influence of Man.
Nor can the models – or anyone else – predict el Niños more than a few months in advance. There is evidence to suggest that the ratio of el Niño to la Niña oscillations, which has declined recently, is a significant driver of medium-term temperature variation.
It is also possible that the models are inherently too sensitive to changes in radiative forcing and are taking insufficient account of the cooling effect of non-radiative transports
Furthermore, the models, in multiplying direct forcings by 3 to allow for allegedly net-positive temperature feedbacks, are relying upon an equation which, while applicable to the process engineering of electronic amplifiers for which it was designed, has no physical meaning in the real climate.
Without the Bode equation, net feedbacks may well be vanishingly different from zero, in which event the warming in response to a CO2 doubling, which is about the same as the centennial warming, will be equivalent to the IPCC’s currently-predicted minimum warming rate, equivalent to 1.1 Cº/century.
Be that as it may, as the above graph from the draft Fifth Assessment Report shows, in each of the four previous IPCC Assessment Reports the models have wildly over-projected the warming rate compared with the observed outturn, and, as the new outturn graph shows, the Fifth Assessment Report does the same.
I should be interested in readers’ reactions to the method and output. Would you like any changes to the monthly graph? And would it be worthwhile to circulate the monthly-updated graph widely to the news media as an answer to their dim question, “Why don’t you believe in global warming?”
Because there hasn’t been any to speak of this millennium, that’s why. The trouble that many of the media have taken to conceal this fact is shameful. This single, simple monthly graph, if widely circulated, will make it very much harder for them to pretend that the rate of global warming is accelerating and we are to blame, or that the “consensus” they have lazily accepted is trustworthy.
The climate scare has only lasted as long as it has because the truth that the models have failed and the world has scarcely warmed has been artfully hidden. Let it be hidden no longer.
Monthly updates? No.
Semi-annual updates? Yes
The graphs do not need modification. Some changes will appeal to some readers, others to others. The target audience will learn to read these after they have been sent out consistently for a few years. Do one per page, with an explanatory paragraph under each graph.
I hesitate to give rhetorical advice, but confine political commentary to one short paragraph on p. 5.
Dear Lord Christopher, you are trying to promote this mistaken notion, that the IPCC made predictions of any kind. No, they have not. These are projections, which is entirely another beast.
Truth value of projections is not established by benchmarking, that is, by comparing them to reality. One either believes or denies them. Then, in an ideal world, deniers are executed on the spot with no due process whatsoever, in a 10:10-ish way.
As soon as it is accomplished, one does a head count which is supposed to find an overwhelming consensus in support of said projection, otherwise fall back to the time tested “no pressure” policy and repeat 10:10 above.
That’s the proper way, and now, it is your turn to confess.
/sarc off
I agree with alcheson. At first glance–which is all you’ll get from many readers–it appeared to support the warmist analysis. It doesn’t, but it would be helpful to make that immediately apparent.
On a related [note],
Congratulations to Mike (“Scottish Sceptic”) Haseler!
http://bishophill.squarespace.com/blog/2013/5/5/ukip-scotlands-climate-spokesman.html
note, not not
@ur momisugly Lord Monckton & @ur momisugly Bob Tisdale
Sorry to disagree with two such eminent sceptics, but I feel compelled top point out that Landscheidt did indeed manage to predict such things a goodly amount of time before hand.
http://www.john-daly.com/sun-enso/revisit.htm
PS. Many thanks to whoever rescued the John Daly site. An undervalued resource which deserves to be better known.
WUWT by all means, followed by the front page of every newspaper in the World.
Since the beginning of the instrument record in 1850 world temperatures have trended up about 3/4 of a degree Celsius and CO2 is up 40%. If the models with their climate sensitivity for CO2 of 3.2°C or so were correct, temperatures should have gone up double that. They didn’t; the models are wrong.
This point is spot on:
“Nor can the models…predict el Niños more than a few months in advance.”
Are they even that good? Anyway, why should we believe a forecast 100 years out that can’t predict el Niños and la Niñas?
Expect a diversion to maintain the fiction. The diversion has been trial-run using sea level. The tactic is to replace the sea-level metric with a total-volume metric. The diversion was to model that the rising seas will compress the continental margins, and that therefore there is much hidden volume increase — so the charts show increased sea volume, all imaginary of course.
This can be extended to global warming by changing the graphs from average temperature to “total heat content”. The advantage of this new metric is not only that heat can be modelled to be increasing in the crust and oceans, but also (and most importantly) in that no such measure was previously taken, so the regime of adjustments can be extended to the present day — in other words, the new measure allows the past to be adjusted downwards up to the present day. Ta daa, warming is renewed! Just like sea level increases, which stopped a few years ago, have magically been renewed. The media will lap it up as usual.
Bob Tisdale says:
May 5, 2013 at 5:30 am
You deserve considerable credit for the rising interest in ENSO and, more generally, in discrete physical processes in climate science.
The following graph is clear and easy to understand by members of the public, politicians and journalists. They may not like it but there it is. It manages to clearly show 44 climate models, their average and current recent (2012) observations.
http://www.drroyspencer.com/wp-content/uploads/CMIP5-global-LT-vs-UAH-and-RSS.png
Add my vote for Vukcevic’s graph http://www.vukcevic.talktalk.net/GR1.htm The models shouldn’t get any credit for something that they didn’t predict.
Jimbo – Two problems with the Roy Spencer graph you posted (http://www.drroyspencer.com/wp-content/uploads/CMIP5-global-LT-vs-UAH-and-RSS.png):
1. The pre-AR4 part of the model predictions.are not predictions but hindsighted hindcasts. They are irrelevant and misleading and should not be shown. (Misleading because the hindsighted hindcasts make it look like the models have some skill).
2. One of the 44 models is reasonably close to the measured. It draws the eye thus distorting the view. That’s why only the average of the models should be shown, not the 44.
It could be argued that it is correct to show all the models, and for a reasonably sophisticated audience that would be correct. But In Roy Spencer’s graph, the eye is automatically drawn to that particular model, thus giving it much more weight in the eye of the unsophisticated. Much like Steve McIntyre’s demonstration a while back of how weighted red noise can deliver a ‘hockey-stick’. In other words, this graph, while technically correct, is likely to be misleading.
Roger Knights – “The “97%” were 95% Certain–but 100% Wrong.“. Brilliant. But will the unitiated twig to the “97%”, or even the 95%? Perhaps better:
97% of scientists – 100% wrong!
The monthly updates to the media are a great idea! Unless something is repeated over and over again, they simply do not absorb it.
Hi everyone
While I was enjoying one of rare nice sunny Sundays in SW London, some of you commented in a complementary way on the graph
http://www.vukcevic.talktalk.net/GR1.htm
It’s origins go to the IPPC, and arrived to WUWT via ‘Mail on Sunday’ in this form
http://i.dailymail.co.uk/i/pix/2013/03/30/article-2301757-1903167F000005DC-59_634x480.jpg
Someone suggested that only prediction and not back-casting should be shown, so I took-up the suggestion and produced the above version.
Thanks to all posters, but my contribution was only minor, and mainly manual, but it made hell of difference to the prediction’s failure perception.
Have a CO2 relaunch party. Charcoal BBQ with chargrilled everything. Kids can play Pop The CO2 Balloons And Feed The World. Everyone can laugh and giggle in the CO2 foam. Super fizzy beer and pop will quench thirsts, and all sorts of CO2 based fun could be had. Oh, and roadside advertising. Such fun.
“The RSS dataset, for which the April anomaly is not yet available, shows statistically significant cooling since January 2001 at a rate equivalent to 0.6 Cº/century.”
Yes. http://www.volker-doormann.org/images/rss_vs_solar.gif
The temperature seems to be .475 years later than the ONI index. Subtracting this ONI function from the RSS temperature, the solar tide function remains.
V.
Berényi Péter says:
May 5, 2013 at 10:48 am
Dear Lord Christopher, you are trying to promote this mistaken notion, that the IPCC made predictions of any kind. No, they have not. These are projections, which is entirely another beast.
http://www.ipcc-data.org/ddc_definitions.html
IPCC
Data Distribution Centre
Definition of Terms Used Within the DDC Pages
Location: Definitions
Projection
The term “projection” is used in two senses in the climate change literature. In general usage, a projection can be regarded as any description of the future and the pathway leading to it. However, a more specific interpretation has been attached to the term “climate projection” by the IPCC when referring to model-derived estimates of future climate.
Forecast/Prediction
When a projection is branded “most likely” it becomes a forecast or prediction. A forecast is often obtained using deterministic models, possibly a set of these, outputs of which can enable some level of confidence to be attached to projections.
===========================
“When a projection is branded “most likely” it becomes a forecast or prediction”.
Forecast and prediction synonymous.
Make it simpler. Most journalists only have Bachelor of Arts degrees and in most cases only ever studied humanities subjects, and therefore have no understanding of the scientific method, mathematics, statistics, trendlines, modelling (the mathematical type), feedback loops, etc. Also, put some emotive words in there. They love that stuff, like our supposedly “angry summer”. Maybe call it the “naughty trendline” which is “punishing the naieve model”.
Even the very silly Prof. Tim Flannery—in The Weather Makers: How Man Is Changing the Climate and What It Means for Life on Earth (Melbourne, 2008)—notes that:
Immediately, however, within the same paragraph, the inconsistent professor observes:
“97% of scientists – 100% wrong!”
Please, make that “97% of CLIMATE scientists – 100% wrong!
Thanks, Vukcevic.
Your graph is an improvement on the Mail on Sunday original.
@ur momisugly vukcevic.. You do good work. 🙂
I do notice that you use the words “official world average temperature.”
I assume that you mean GISS or Hadcrud.
The problem for athe warmists is that by hindcasting to pre-1979 GISS or Hadcrud, they are NOT hindcasting to the real temperatures, but a highly adjusted record, adjusted to make it seem like there was more warming than there actually was (if any).
By doing this, they have not the slightest hope of every making decently correct projections.
Hoisted on their own petard, one might say. or ………………… Karma !! 🙂
Seventy-five out of 77 “active climate scientists” cherry picked from among more than 3000 respondents to a simplistic, biased survey sent to over 10,000 scientists will soon be shown 100% wrong.
Accurate, but not very catchy.