Guest Post by Willis Eschenbach
The new UN IPCC Assessment Report 6 (AR6) is out, available here. They make it quite clear that a good chunk of what is in the report is not science. Instead, it is the opinions of scientists. They describe what they are using, for example, as:
… structured expert judgement (i.e., a formal, calibrated method of combining quantified expert
assessments that incorporate all potential processes)
First off, there’s no way to know if they’ve included “all potential processes”. We don’t know that much about the climate, and new discoveries are made monthly. Next, what is a “quantified expert assessment” when it’s at home? A numerical guess that they’ve thought a lot about?
And what is the “formal, calibrated method” for combining a bunch of numerical guesses made by “experts”?
Here’s the description of how they assess the likelihood of something, as well as how much confidence they have in that assessment of the likelihood (emphasis mine).
Throughout this Technical Summary, key assessment findings are reported using the IPCC calibrated uncertainty language (Chapter 1, Box 1.1). Two calibrated approaches are used to communicate the degree of certainty in key findings, which are based on author teams’ evaluations of underlying scientific understanding:
(1) Confidence is a qualitative measure of the validity of a finding, based on the type, amount, quality and consistency of evidence (e.g., data, mechanistic understanding, theory, models, expert judgment) and the degree of agreement; and
(2) Likelihood provides a quantified measure of confidence in a finding expressed probabilistically (e.g., based on statistical analysis of observations or model results, or both, and expert judgement by the author team or from a formal quantitative survey of expert views, or both.
A few notes on this quote. First, “evidence” in their world is not just data, observations, and mechanistic and theoretical understanding. “Evidence”, for them, also includes models and expert judgment. As a man who has programmed computer models of a host of systems, I can assure you that model output is “evidence” only in the very simplest of systems. That’s why Boeing and Airbus use wind tunnels to test physical scale models of proposed airplanes whose design is based on computer model outputs … because model outputs aren’t evidence.
And “expert judgment”, whether it is from one expert or “expert judgment by the author team or from a formal quantitative survey of expert views”, is not evidence in any sense. It’s valuable, to be sure, but a hundred years ago “expert judgment” said malaria was caused by lack of hygiene and fresh air, said ulcers were caused by stress, and said that continental plates couldn’t move … was that “evidence”?
It is hubris of the highest order to think that is not happening now in a variety of fields.
In any case, I thought I’d take a look to see just how good their “expert judgment” might be. I noted that they have a new “Sea Level Projection Tool” to give us their expert judgment on what sea-level rise might be in various areas around the planet.

Figure 1. Screenshot of the UN IPCC Sea Level Projection Tool. For a number of locations (blue dots), it gives both future levels and future rates of rise by decade, starting in the 2020s.
Now, I’ve written about sea level before, including discussing one of the best and longest records in the world. This is the San Francisco record, measured about an hour and a half south of where I write this. Here is that record.

Figure 2. San Francisco sea-level record.
In common with about 80% of the long-term sea-level records, there’s no sign of any acceleration in the rate of sea-level rise in San Francisco, either overall or during the last half-century. The sea-level rise has been stable for a century and a half at 2 mm per year, which is just under 8 inches per century.
So with that as prologue, what would the simplest prognostication be for the future San Francisco sea level rise? Me, I’d say given that there’s been a steady 2 mm rise for 170 years, the first guess would be not much different from 2 mm per year … particularly in the current decade, the 2020s.
And what do the UN IPCC models and the “expert judgment” tell us about the future sea-level rise in San Francisco? It depends on the “Scenario”. The UN IPCC uses five different scenarios. In order of increasing CO2 and other greenhouse gas emissions, and thus in order of increasing theoretical temperature rise, they are called the “1.9”, “2.6”, “4.5”, “7.0”, and “8.5” scenarios. In addition, for sea-level rise there are two “low confidence” scenarios. They say:
Two low-confidence scenarios, indicating the potential effect of low-likelihood, high-impact ice sheet processes that cannot be ruled out, are also provided. … Global mean sea level rise above the likely range – approaching 2 m by 2100 and 5 m by 2150 under a very high GHG emissions scenario (SSP5-8.5) (low confidence) – cannot be ruled out due to deep uncertainty in ice sheet processes.
With that as prologue, here are their median (50% quantile) projections of the rate of rise of future San Francisco sea levels, by decade, for those seven different scenarios.

Figure 3. UN IPCC projected rates of sea-level rise by decade. These are the median values.
(Let me note that this reveals one of the huge benefits of this kind of analysis for their “experts”—almost regardless of what the sea level does in the future, they can truthfully say “See, we projected that!”. But I digress …)
However, there’s a deeper and much more serious problem. To highlight it, here are the four least extreme scenarios, 1.9 through 7.0.

Figure 4. Same as in Figure 3, but for the four least extreme scenarios. Again, these are the median values.
I’m sure that you can see the problem. In their “expert judgment” of the model results, the median result (50% quantile) of the models for San Francisco sea-level rise for the current decade is 4 mm per year … say what? It’s been half of that for 170 years, and it’s suddenly gonna double this decade?
Now, at present we’re 2 years into the decade of the 2020s … so for the entire decade to average 4 mm per year, the rate would have to start accelerating today and continue accelerating to the point where it would hit about 7.5 mm per year by 2029. Only then would the decade average 4 mm per year.
It gets worse. The high estimates of sea-level rise (the 95% quantile) give San Francisco rates of rise ranging from 6.4 to 11.6 mm per year … for the current decade.
Sorry, but this is not science in any form. This is a joke. There’s no way on this earth that during the 2020s the average San Francisco sea level rise will average either 4 mm per year or 8 mm per year.
Bear in mind that this is the result of “a formal, calibrated method of combining quantified expert assessments that incorporate all potential processes”. Doesn’t that make you feel all warm and fuzzy about the rest of the UN IPCC AR6 claims?
So remember this monumental sea-level rise madness whenever someone points out that “the IPCC says” something about the future … their “expert judgement by the author team or from a formal quantitative survey of expert views” may not be worth a bucket of warm spit.
My very best to everyone—even in these parlous, fractious times, life is good.
w.
My Invariable Request: When you comment, please quote the exact words you are referring to. It avoids endless misunderstandings.
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Willis,
I had gotten familiar with the 4 RCPs after AR4 and AR5.
Now we have to familiarise ourselves with 5 new pathways,SSPs 1.9,2.6,4.5,7.0 and 8.5.
Yes, I can see some loose association with the earlier RCPs.
What is a “Shared Socio-Economic Pathway” (SSP) anyway,other than new guesswork?
As your analysis shows,they may ALL be divorced from reality.
May I cheekily suggest a sixth SSP, “1.0”
Yes! a 1.0 is called for.
At least in this case (the 1.9), the IPCC is going in the right direction: cooler.
0.65mm/yr at Fort Denison in Sydney Harbour for 124 years-
Sea Level Trends – Sydney, Fort Denison 1 & 2, Australia – NOAA Tides & Currents
and 0.85mm/yr at Port Arthur in Tasmania for 159 years-
:: Sea-level Rise :: CSIRO & ACECRC ::
although John Daly reckons that’s a bit on the high side
At those rates Australians will be keeping a close eye on San Francisco to see when we’re next cab off the rank for being doomed.
Most of the AR6 narrative is built up over the same unscientific methods, and deserve the diagnosis Intergalaxial Crap of the Highest Order.
No less. But probably also no more.
Unless these rocket climate scientists invent a new climate neutral universe in AR7….
OK, I will ‘splain it to the leftist woketards again. The sea level rises, then falls, then rises, then falls, then rises, then falls. It is called tides, morons and humans can not stop it, just as the climate changes constantly and humans can not stop it, either. What a pack of f**king idiots.
This should be added to the Everything Climate section under “Sea Level Rise is Accelerating Dramatically”. Also, any way to put this on YouTube or NewTube?
What grade sould a Freshman Earth Science Student receive (on an assigned report) that included a Sea Level Rise prediction FOR THIS YEAR that is 100% higher than what the data indicate for this year?
(Sadly, probably would get an “A”…should get a “D” at best).
On Monday, our “local trusted news source” posted on Facebook this worrying headline:
Oh, noez!
Here was my reply:
The Experts predict 15 to 30 cm of sea-level rise by mid-century. Let’s call that 150 to 300 mm by 2050, roughly 30 years from now, making for a sea-level rise rate of 5 to 10 mm per year starting now. The observed sea-level rise since 1900 is a linear trend of about 1.40 +/- 0.13mm per year. Sorry, I don’t buy it. The experts need to put their computer games, err.. models, away. https://sealevel.info/MSL_weighted.php?id=Harlingen,%20Honolulu&boxcar=1&boxwidth=3
The replies from the nattering facebook nabobs included the usual “you’re no expert, so there!” I will admit that my grammar and composition are not up to the highest standard, but I think I made my point.
Actually, it’s worse than that. The rate is not going to jump in one year, it will accelerate starting from the present rate. So the rate at the end will be very high.
IF we assume constant acceleration of the rate of rise, to get to a total rise of 150 mm by 2050 the 2050 rate needs to be 13.3 mm/year.
And to get to 300 mm, the 2050 rate of rise would be 34.9 mm/year.
Regards,
w.
The phrase “not worth a bucket of warm spit” is commonly attributed to Texan John Nance “Cactus Jack” Garner, a banker and rancher from Uvalde, TX who rose through the state house and US Congress, becoming Speaker of the House in 1931 and eventually a two-term Vice President under Franklin Rosevelt. He was never actually quoted as saying it at the time, but several biographies attribute that or a similar phrase to him describing the US Vice Presidency later on.
One 1978 biography claims Lyndon Johnson called Garner in 1960 to discuss the offer he’d received to be John Kennedy’s running mate and was told “I’ll tell you Lyndon, the vice presidency isn’t worth a pitcher of warm spit”. The biographer later stated that the actual phrase was “pitcher of warm piss”, which journalistic sensitivities of the era would not allow to be printed.
There is no dispute Garner was the source of many pithy and salty expressions regarding the vice presidency, among which are:
Having split with Rosevelt on many policy issues, Garner left office and returned to Uvalde in 1941, vowing never to cross the Potomac again.
He refused to donate his vice presidential papers to the University of Texas and instead burned them all. No doubt we lost a lot of other quotable thoughts and observations that were too spicy to print at the time.
Garner died in 1967 at age 99.
So take your pick: “bucket of warm spit” or “pitcher of warm piss”. Either one works; climate science is even more useless than the vice presidency. Were he around today, I bet “Cactus Jack” Garner would have something scathingly appropriate to say about it.
I’m sure his summary of the “climate crisis” nonsense would have been both colorful and on point!
Willis, thanks. You always bring up these marvelous graphs.
This is maybe a bit off the topic, but I am interested to hear what all of you of have to say about my story.
First off all, look at this plot:
https://scrippso2.ucsd.edu/
Assuming it is indeed possible to measure oxygen to the accuracy that is claimed. It says:
‘This corresponds to losing 19 O2 molecules out of every 1 million O2 molecules in the atmosphere each year.’ This is a bit of a strange unit to use, but anyway, it is how it is.
I wonder if you are actually measuring an actual loss of O2, rather than a fluctuation in the volume of the atmosphere. But again, assuming the measurements are representative of the true loss of oxygen from the atmosphere, I calculate this loss to 0.4 ppm O2.
(9/10^6 = y /6.02×10^23. Once you solved y, you know the amount of oxygen lost per mole oxygen.
That 0.4 ppm oxygen correlates to 44/32 = 0.55 ppm CO2.
Note that this annual 0.5 ppm CO2 increase in the atmosphere is a lot less that what is actually observed.
That brings me to my point:
I am still not sure whether the increase in CO2 of the atmosphere is due entirely to the use of fossil fuels. Remember, there are huge amounts of carbonates and bicarbonates in the oceans. In fact, giga tons. The wastewater of 7 billion people and even more animals and many factories is usually weak acidic and sometimes even really acidic. Especially in the countries where the pH of the waste water is not looked at at all. All that acid ends up in the oceans.
Once this waste comes into the oceans, I think there follows a simple reaction:
HCO3- + H3O+ = > CO2 (g) + 2H2O
Even if the pH of the seawater is not acidic in itself, that reaction does happen, simply because there is a disturbed balance. Nature wants to put that right.
I’ve been taking samples from the Indian Ocean every year for the past five years. We’re going back there on vacation soon. I would like to know if there is a downward trend in the alkalinity of those seawater samples.
Is there anyone here who’s interested in helping me with this project? (I don’t have a lab and actually no money to pay for such an investigation)
Interesting, Henry. However, I get a different value for the loss.
Atmospheric oxygen = 20.95% of the total atmosphere
If it loses 19 O2 molecules out of every 1 million O2 molecules, I figure this is .2095 * 19 = 4 ppmv, not 0.4 as you calculate.
What am I missing here?
Regards,
w.
Hi Willis. Thanks. I think I may have made a mistake. Let me look at my calculations again.
I did make a mistake somewhere, not taking into account the % oxygen in the atmosphere. Now I get to a loss of 2.2 ppm oxygen. This does not correspond to your result but it does explain the increase in CO2.
Assuming Keeling is not cheating.
I am puzzled not seeing the results anywhere for the loss of oxygen since 2017.
If we wanted to really find out what the author’s “expert judgement” is for how much the sea is to rise at the end of this decade, we should insist that they put up $10,000 and write down their best estimate, with the closest one winning all of the money. Maybe allow three rounds of bidding before being stuck with the final estimate in order to see how low they go.
The essential issue here is: can we EVER model the globate climate, accurately? Strangely, that doesn’t appear to be a question that took up much of the IPCC panel’s time!
Logically, one would think the answer is Yes, namely, when we can build sufficiently large computers, we should be able to model the atmosphere and seas to an accuracy of, say, one centimeter (currently, it’s more like one kilometer.)
But lots of well-established theory and experiment say this is false. Why?
For one very good reason: the weather – and, by implication, the global climate – is a non-linear, dynamic system, aka a chaotic system. That means it has inherent uncertainty, no matter how accurately we measure initial conditions.
Therefore, even if we could build a computer the size of the planet, we will NEVER be able to make accurate long-term predictions about the local climate, let alone the global.
This inherent uncertainty is built into the fabric of our Universe. We can’t change it or predict it any more than we can change the strange ways the Universe seems to work down at the quantum level.
For a clear example of a chaotic system, watch this video of the simplest such system: Double Pendulum Displays Chaotic Motion – YouTube
A very good and important comment.
Weather is chaotic, unpredictable. Climate is the average of 30 years of weather and so: unpredictable. Furthermore, weather and oceans influence each other. Oceans are unpredictable as their behavior is dependent on local salinity and temperature, which are both dependent (among others) on unpredictable weather.
Who tells he is able to predict climate (IPCC) must be very innocent. At best.
Who has confidence in an innocent group of volunteers (IPCC) who know just one cause for all chaotic behavior of weather and climate and suggest they can stabilize future weather and climate (which have never been stable during the last 4 billion years) must be very naive: most media, politicians.
Hi Willis. I think I found one error: The word ‘spit’ should have been “urine”. Other than that, perfect.
During the next minor cooling cycle I’d expect the sea levels will decline an inch or so….
Why do they use San Francisco for sea level studies? San Francisco sits directly above the San Andreas Fault……… Sea level is falling in most of Alaska due to tectonic pressure change. I should think that appropriate sea level studies should involve hundreds of long term tide measurements around the world.
The IPCC confidence levels have always been based on guesses obtained from one end of the alimentary canal of the “experts”.
They are ofen combined using “Bayesian analysis” which though it does a good job of improving valid results obtained from diffrerent sources really doesn’t do much for alimentary excretions from those who have all consumed the same meals.