by Bob Irvine.
The IPCC and others have been making global temperature projections for some time now for various emission scenarios. These projections have invariably failed but the obvious corollary of this, that the modelled climate sensitivity is too high, has never been addressed.
In an effort to hold the IPCC accountable, I have compared actual measured temperatures with two of their scenarios from the AR4 report in 2007. The B1 and A2 scenarios. See Appendix “A” for the relevant section of the AR4 report.
The A2 scenario (The grey line in Fig 1) in this report matches well with RCP8.5 and is the closest match we have to actual emissions for the period 2005 to 2020 (See Fig 2). The A2 scenario, as described below, estimates a central temperature increase by the end of this century of about 3.4C above the 1980-1999 average, while RCP8.5 approximates this with temperature at the end of the century expected to be 4.5C above preindustrial.
The other (The yellow line in Fig. 1) is what I would call the Green New Deal dream line. The B1 scenario is used and is described in the IPCC report as a world “with reductions in material intensity and the introduction of clean and resource-efficient technologies.”
The measured temperature is below both these scenarios and indicates that the IPCCs high sensitivities are not supported by the evidence. It is even lower than the Green New Deal’s wildest expectations (B1) and as such should have been met with relief and admissions that they got it wrong. Instead, we see more fake hockey sticks and misleading statements to the effect that “it is worse than we thought”.

(Grey) The temperature that should be consistent with our current emissions if the IPCCs climate sensitivities are accurate. According to the A2 scenario and RCP8.5.
(Yellow) The temperature that should be consistent with our best-case reduction in fossil fuel use, again assuming the IPCC sensitivities are correct. According to the B1 scenario.
(Blue and Orange) The measured temperature from UAH and NASA GISS respectively.
RCP8.5, THE MOST ACCURATE PATHWAY
RCP8.5 (And presumably A2) has been attacked lately as being extreme, alarmist and misleading. (Hausfather and Peters 2020, Burgess et al 2020.). These statements themselves actually mislead.
According to this Schwalm et al 2020 Report in PNAS, RCP8.5 is the pathway that most closely matches actual emissions to 2020 and likely emissions to 2050 and is useful out to the end of this century.
RCP8.5 tracks cumulative CO2 emissions | PNAS
From this Report;
“ …among the RCP scenarios, RCP8.5 agrees most closely—within 1% for 2005 to 2020 (Fig 2)—with total cumulative CO2 emissions (Friedlingstein et al 2019)). The next-closest scenario, RCP2.6, underestimates cumulative emissions by 7.4%.”
As is clear in the PNAS graph below, the RCP8.5 pathway best describes current emissions and, also, best describes emissions under a “business as usual” scenario to 2050.
For this reason, it is legitimate to compare RCP8.5 projections with current temperatures. The conclusion from Fig 1. must be that the climate sensitivities used to produce these temperature projections are, likely, too high by a significant amount.

Fig. 2.
Total cumulative CO2 emissions since 2005 through 2020, 2030, and 2050. Data sources: Historical data from Global Carbon Project (Friedlingstein et al 2019); emissions consistent with RCPs are from RCP Database Version 2.0.5 (https://tntcat.iiasa.ac.at/RcpDb/); “business as usual” and “business as intended” are from IEA Current Policies and Stated Policies scenarios, respectively (IEA, 2019). IEA data (fossil fuel from energy use only) was combined with future land use and industrial emissions to estimate total CO2 emissions. Future land use emissions estimated from linear trend fit to 2005 to 2019 Global Carbon Project land use emissions data (Friedlingstein et al, 2019). Industrial emissions estimated as 10% of total emissions. Final IEA data use historical values through 2020 and scenario values thereafter. Biotic feedbacks are not included in any IEA-based estimate. Note that RCP forcing levels are intended to represent the sum of biotic feedbacks and human emissions.
CURRENT EMISSIONS ARE FOLLOWING THE HIGHER PATHWAYS
Intermittent renewables still supply a relatively insignificant proportion of global energy consumption. (See Fig 3). The enormous cost involved in producing this intermittent energy has made little discernible difference to CO2 concentrations. (See Fig 4).
CO2 concentrations continue to rise exponentially and are consistent with the RCP8.5 pathway. (See Fig 2).
Global temperatures are not rising as expected. (See Fig 1). The most likely reason for this is that the climate sensitivities used by the IPCC are much too high.


APPENDIX “A”
Below is an extract from the AR4 report that generated the A2 and B1 scenarios used here.
Rut temp
A report of Working Group I of the
Intergovernmental Panel on Climate Change
Summary for Policymakers
Drafting Authors:
Richard B. Alley, Terje Berntsen, Nathaniel L. Bindoff, Zhenlin Chen, Amnat Chidthaisong, Pierre Friedlingstein,
Jonathan M. Gregory, Gabriele C. Hegerl, Martin Heimann, Bruce Hewitson, Brian J. Hoskins, Fortunat Joos, Jean Jouzel, Vladimir Kattsov, Ulrike Lohmann, Martin Manning, Taroh Matsuno, Mario Molina, Neville Nicholls, Jonathan Overpeck,
Dahe Qin, Graciela Raga, Venkatachalam Ramaswamy, Jiawen Ren, Matilde Rusticucci, Susan Solomon, Richard Somerville, Thomas F. Stocker, Peter A. Stott, Ronald J. Stouffer, Penny Whetton, Richard A. Wood, David Wratt
Draft Contributing Authors:
J. Arblaster, G. Brasseur, J.H. Christensen, K.L. Denman, D.W. Fahey, P. Forster, E. Jansen, P.D. Jones, R. Knutti,
H. Le Treut, P. Lemke, G. Meehl, P. Mote, D.A. Randall, D.A. Stone, K.E. Trenberth, J. Willebrand, F. Zwiers
This Summary for Policymakers should be cited as:
IPCC, 2007: Summary for Policymakers. In: Climate Change 2007: The Physical Science Basis. Contribution of Working
Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S., D. Qin, M. Manning,
Z. Chen, M. Marquis, K.B. Averyt, M.Tignor and H.L. Miller (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
Table SPM.3. Projected global average surface warming and sea level rise at the end of the 21st century. {10.5, 10.6, Table 10.7}

Table notes:
a These estimates are assessed from a hierarchy of models that encompass a simple climate model, several Earth System Models of Intermediate Complexity and a large number of Atmosphere-Ocean General Circulation Models (AOGCMs).
b Year 2000 constant composition is derived from AOGCMs only.
Summary for Policymakers

Figure SPM.5. Solid lines are multi-model global averages of surface warming (relative to 1980–1999) for the scenarios A2, A1B and B1, shown as continuations of the 20th century simulations. Shading denotes the ±1 standard deviation range of individual model annual averages. The orange line is for the experiment where concentrations were held constant at year 2000 values. The grey bars at right indicate the best estimate (solid line within each bar) and the likely range assessed for the six SRES marker scenarios. The assessment of the best estimate and likely ranges in the grey bars includes the AOGCMs in the left part of the figure, as well as results from a hierarchy of independent models and observational constraints. {Figures 10.4 and 10.29}
Summary for Policymakers
THE EMISSION SCENARIOS OF THE IPCC SPECIAL REPORT ON EMISSION SCENARIOS (SRES)17
A1. The A1 storyline and scenario family describes a future world of very rapid economic growth, global population that peaks in mid-century and declines thereafter, and the rapid introduction of new and more efficient technologies. Major underlying themes are convergence among regions, capacity building and increased cultural and social interactions, with a substantial reduction in regional differences in per capita income. The A1 scenario family develops into three groups that describe alternative directions of technological change in the energy system. The three A1 groups are distinguished by their technological emphasis: fossil-intensive (A1FI), non-fossil energy sources (A1T) or a balance across all sources (A1B) (where balanced is defined as not relying too heavily on one particular energy source, on the assumption that similar improvement rates apply to all energy supply and end use technologies).
A2. The A2 storyline and scenario family describes a very heterogeneous world. The underlying theme is self- reliance and preservation of local identities. Fertility patterns across regions converge very slowly, which results in continuously increasing population. Economic development is primarily regionally oriented and per capita economic growth and technological change more fragmented and slower than other storylines.
B1. The B1 storyline and scenario family describes a convergent world with the same global population, that peaks in mid-century and declines thereafter, as in the A1 storyline, but with rapid change in economic structures toward a service and information economy, with reductions in material intensity and the introduction of clean and resource-efficient technologies. The emphasis is on global solutions to economic, social and environmental sustainability, including improved equity, but without additional climate initiatives.
B2. The B2 storyline and scenario family describes a world in which the emphasis is on local solutions to economic, social and environmental sustainability. It is a world with continuously increasing global population, at a rate lower than A2, intermediate levels of economic development, and less rapid and more diverse technological change than in the B1 and A1 storylines. While the scenario is also oriented towards environmental protection and social equity, it focuses on local and regional levels.
An illustrative scenario was chosen for each of the six scenario groups A1B, A1FI, A1T, A2, B1 and B2. All should be considered equally sound.
The SRES scenarios do not include additional climate initiatives, which means that no scenarios are included that explicitly assume implementation of the United Nations Framework Convention on Climate Change or the emissions targets of the Kyoto Protocol.
17 Emission scenarios are not assessed in this Working Group I Report of the IPCC. This box summarising the SRES scenarios is taken from the TAR and has been subject to prior line-by-line approval by the Panel.
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The source used, IPCC 2007 WGI SPM, states on page 12:
In other words, in the early decades starting from 2007 the observed warming rates are expected to be similar, no matter what scenario is actually followed.
14 full years into that projection period it’s easy enough to check progress. The best estimate linear warming rates in the surface data sets from 2007 to 2020 are as follows (all deg. C per decade):
HadCRUT5 +0.31
GISS +0.33
NCDC +0.33
The 2007 SPM states that the model projections specifically refer to surface warming; however, since the author here has decided to include satellite measurements of the lower troposphere (UAH), we might as well look at their best estimate rates over that period too:
RSS +0.36
UAH +0.33
As it stands, the IPCC’s 2007 projected warming rate for the next 2 decades is on the cool side of observations, whether you use surface or lower troposphere measurements. Temperatures should be expected to cool down slightly over the next 6 years if the IPCC 2007 projection is to remain valid.
Fourteen years is nowhere near two decades, it’s remarkable how the IPCC predicted the 2015-16 super-strong El Niño considering ENSO oscillations are unrelated to changes in atmospheric concentrations of greenhouse gases.
Better wait until 2027-2028 to assess that prediction.
14 full years is a sizeable junk out of 20. Granted, the 2015 El Nino spiked things up, but we have had a double-dip La Nina since then that had a cooling effect. We would probably need another La Nina just to bring the warming rate down to the IPCC’s 2007 forecast.
“In an effort to hold the IPCC accountable, I have compared actual measured temperatures with two of their scenarios from the AR4 report in 2007. The B1 and A2 scenarios. ”
But your representations of the IPCC projections are straight lines, which they most certainly are not. What exactly has been done here?
“The A2 scenario (The grey line in Fig 1) in this report matches well with RCP8.5 and is the closest match we have to actual emissions for the period 2005 to 2020 (See Fig 2). The A2 scenario, as described below, estimates a central temperature increase by the end of this century of about 3.4C above the 1980-1999 average, while RCP8.5 approximates this with temperature at the end of the century expected to be 4.5C above preindustrial.”
Problem with that is that the various scenarios do not diverge much in the early decades, the projected increase in the near term, defined as 2021-2040 is 1.6C for RCP8.5 but 1.5C for all other scenarios. (AR6 Table SPM.1).
The IPCC estimate 0.85C increase from pre-industrial to the modern reference period so 1.6C represents a modern increase of c0.75C. Since 1990 the linear rate of increase in the NASA data is 0.21C per decade. If that continues we hit 1.6C around 2025. You will notice 2025 is at the lower end of 2021-2040.
I would love to know what the Yellow ‘B1’ line is meant to show. B1 has a temperature rise (best estimate) of 1.8C between (1980-1999) and (2090-2099). If this were linear this would imply a rise from 1990-2020 of around 0.51C. But the graph here shows a rise 20% higher – more like 0.6C. How exactly was this derived?
“But your representations of the IPCC projections are straight lines, which they most certainly are not. What exactly has been done here?”
I’m guessing (for we are not told) that he has calculated the linear warming rate required to achieve the temperature difference between 2007 and 2100 for the highest emissions scenario, then simply plotted this out as if it were expected to occur in the same linear fashion.
If so, then he ignores the advice given in the very source he quotes, which explicitly states in highlights that, temperatures are not expected to increase in a linear way, especially in the early decades, no matter what scenario is used. Instead, it states that in the 2 decades from 2007, surface temperatures are expected to increase at around 0.2C per decade, whether the low, medium or high emissions scenarios are followed.
“I’m guessing (for we are not told) that he has calculated the linear warming rate required to achieve the temperature difference between 2007 and 2100 for the highest emissions scenario, then simply plotted this out as if it were expected to occur in the same linear fashion.”
Probably. Except, as I posted, the B2 line seems warm. 0.6C over 3 decades, which on a linear extrapolation would take us to +2.2C by 2100, not the 1.8C in the table shown. What’s going on here?
How accurate are estimates of global CO2 emissions? A more accurate measure would be CO2 concentrations – compared with those from the the various scenarios.
‘Fifteen years of watching these games has taught me to watch for slight of hand – such as using a calculated estimate when hard data is available. There is almost always a reason for doing so.
As long as models include a CO2 term that indicates an increase in temperature with an increase of CO2, the models will always be wrong. They only consider the absorption of CO2, not its radiation toward space. HALF of all absorbed radiation goes to space. It makes a ‘larger’ earth, because the other primary gases cannot radiate.
Absorbed radiation is radiated away in nanoseconds. Any absorber radiates as easily as it absorbs, EXCEPT that it is more energetic after absorbing a photon, so it is MORE likely to radiate.
From 1880 to 2020 CMIP5/6 predicted a warming rate of +0.08 and +0.07 C/decade respectively. The observed rate was +0.07 C/decade. If this is considered wrong then what does it take for it to not be wrong? Can you post a link to a model that you feel is more physically sound that publishes a global mean temperature from 1880-2020 on a monthly (or acceptably annual) basis so that we can compare it to the CMIP suite and see which one performs better? And where are you seeing that models are ignore the fact that CO2 also radiates energy?
What a surprise, the climate-political scientists have failed to ‘get a clue’ for, what, 25 years? And are still flogging the fake CLIMATE EMERGENCY!! daily at the NY Times, Wash Post, The Guardian etc etc.
Pretty dumb & tiresome. The actual, you know, climatologists mostly sit on their hands, in reasonable fear of losing their jobs. But how else will Science Self-Correct, than for somebody to have the balls to call this sh*t out?
Sorry , I find the start of this article a bit confusing
The way it is labelled suggests the grey is the actual measured temperature.
Might be best to relabel it as UAH actual measured temp v predicted RCP 8.5 temp
Fig. 1. Measured global temperature (Grey) verses two IPCC temperature scenarios.
(Grey) The temperature that should be consistent with our current emissions if the IPCCs climate sensitivities are accurate. According to the A2 scenario and RCP8.5.
See kzb September 19, 2021 2:08 pm
I find Fig. 1 highly confusing and I think a mistake has been made
and
Björn Eriksson September 19, 2021 11:06 am
“Fig. 1. Measured global temperature (Grey) verses two IPCC temperature scenarios.”Should read (orange and blue)?
The leftists also include emissions from Australia as being all emissions from exported coal from Australia burnt overseas.
When I saw this, I thought, “what a great idea for an article”. Actually validate (or not) the IPCC forecasts, that is something that is absolutely necessary.
The approach to it is good as well. Unfortunately, looking at the comments from the more knowledgeable people on here, it seems like it has been badly screwed up.
Like a great deal of stuff on here, it turns out it is easily debunked when the experts get hold of it. Alarmists will simply laugh and ignore it because of that.
You lot really need to raise your game if you hope to get anywhere. You need to produce analyses that are beyond criticism and cannot reasonably be disputed.
I am saying this in the hope that certain people will be able to rise to the challenge. Produce some material like this, but which withstands scrutiny. Otherwise you just get laughed at. One small mistake is enough to consign the whole thing to the bin in the eyes of alarmists.
“The approach to it is good as well. Unfortunately, looking at the comments from the more knowledgeable people on here, it seems like it has been badly screwed up.”
kzb:
There are, as you say, many articles posted here that are indeed “easily debunked” ( particularly at the moment from NTZ) – oh, the irony.
Unfortunately there are few “knowledgeable people” who can be bothered to come here and be subjected to the motivated ignorance and ad hom that comes back at them. So they go. Nick Stokes is the only one who (with infinite polite patience) has been a long-term regular. At the moment he is taking a sabbatical, though I did see a couple of posts from him recently.
There are a few true sceptics here who can see the “alternative facts” and speak up, but most are unsceptical sceptics.
It’s what the Internet does.
Gives a forum to a pressure group, who think that because there are numbers of like minds on a blog and they overwhelm the knowledgeable with posts – then they win the argument.
I have had that said to me, as though shouting down in numbers is what matters
It’s a bit weird when you think about it. Lots of middle aged men in an information bubble, reading what looks like science but isn’t. Earnestly discussing fake science. It’s a shame, because the climate mainstream really needs some robust independent scrutiny.
I have no problem admitting that I don’t have the “mathematical chops” to perform an “analysis” that would stand up to your (unspecified / undefined) internal mental construction of the criteria “required” in order to be “beyond criticism”.
NB : Everything I post here can “reasonably be disputed” by other posters.
For a “beyond criticism” level of “analysis” you probably need to ask someone else, e.g. Willis or Nick Stokes here at WUWT (or Steve McIntyre at his Climate Audit website).
To compare (empirical) GMST datasets against the “predictions” made using cumulative CO2 emissions (so far / since 1750), however, all you need is an Excel-like spreadsheet (Libreoffice Calc in my case) and the sophisticated scientific instrument known technically as “The Mk. I Eyeball”.
Anyone who claims that “Climate Science is simple, it’s all due to (anthropogenic) GHG emissions” is over-simplifying the actual situation.
People who says “GHG (/ CO2) emissions have no effect whatsoever” are also over-simplifying the situation …
There has been cooling since February 2016, despite ever increasing CO2.
The world cooled from the 1940s until the PDO switch in 1977, also in spite of rising CO2.
Please ass UAH to your temperature graphs. The station “data” are packs of lies.
I have often switched between including the satellite datasets or not in the past.
In this case I consider that the “tas” CMIP5/6 data is (more-or-less “directly”) comparable to the surface datasets, but not to the satellite ones.
I have not (yet …) found a “simple” way of extracting directly comparable layers from the “taz” data array for the (T)LT satellite averages.
A point of view rather more extremist than mine …
It’s a variant of the old “you can’t get to there from here” joke, AKA “bait and switch”.
It doesn’t matter what the “historical / cumulative” emissions were, in order to keep within the IPCC’s self-declared “carbon budget” what matters is which emissions “pathway” comes closest to reality in the (near- to medium-term) future.
I looked at this 2 or 3 weeks ago and came up with the following graph.
Whoever thinks RCP8.5 / SSP5-8.5, the “catastrophic” warming options, are still ‘the “most close” scenarii needs to have their eyes (and/or brains ?) examined.
PS : I just remembered that the IPCC recently (last week ?) updated their “NDCs with updates” data to 30/7/2021.
The IPCC produced the following graph as a result, which does not include SSP5-8.5 as a “most likely / BaU / most closely followed” option …
Over that particular period if you look at cumulative emissions that may be true (TBC).
In contrast, during 2016 to 2019 — the post-Paris-Agreement period — anthropogenic CO2 (Fossil-Fuel & Industry) emissions were quickly aligning with the B1 and A1T scenarios instead.
OK, I’ll give you that one …
This is what I have thought to be the case for a while; our actual emissions are tracking closer to the worst case scenarios, but our actual temperatures are trackinng at or below the best case scenarios. You’d think they would catch on at some point.
I’m confused. The caption for Fig. 1 says:
“Fig. 1. Measured global temperature (Grey) verses two IPCC temperature scenarios.”
Yet, the article says this:
“The measured temperature is below both these scenarios and indicates that the IPCCs high sensitivities are not supported by the evidence.”
The grey line in Fig. 1 is the highest line, so how can the “measured temperature” be both the highest and the lowest? What am I missing?
Several of us made that same comment about the grey line. I notice it has been corrected now, so if you look at it again it now makes sense. That bit of it anyway, not saying anything about the rest of it.
The Dependent Variable is pure garbage, so GIGO. The temperature data is corrupted by the Urban Heat Island Effect, Changes in Water Vapor and Albedo. Unless you include those in the model, your model is pure garbage, and it is no wonder the IPCC models fail. They do everything possible, even “adjust” the data to make temperatures more linear like CO2. Simply look at Antarctica, a location controlled for most exogenous factors, and basically isolate the impact of CO2 and temperatures. When you do that, you get no warming. Simply look at Antarctica. Unless the laws of physics cease to exist in Antarctica, or CO2 doesn’t cause warming.
Am I wrong in understanding that the presence of CO2 in the atmosphere was at three hundreths of one percent in 1960 and four hundreths of one percent in 2020 and that the sixty year increase of atmospheric CO2 level was only one hundreth of one percent of atmosphere?
Yeah, that is about right. It was 0.032% in 1960 and 0.041% in 2020.
Which means that the frequently encountered chart at figure 4 is just one more example of the deception that characterizes the fiction that CO2 is the cause of global warming.
bdgwx the correct % is .00032 and .00042 (320 and 417 each divided by one million.
320 / 1000000 * 100 = 0.032%
410 / 1000000 * 100 = 0.041%
I’m not following you. 5.35 * ln(0.041/0.032) = +1.33 W/m2 of RF. With a sensitivity of 0.7 C/W.m2 that is 0.7 * 1.33 = +0.9 C of pressure on the global mean temperature.
I think the Fig 1 label should be “Measured global temperature (XGreyX blue, orange) verses [s.b. versus] two IPCC temperature scenarios (grey, yellow).”
Not a clear presentation.