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Christopher Monckton reminds us of just how badly the “experts” have failed in the last 15 years, even including the recent hottest ever El Nino months. China bombed the atmosphere with record carbon “pollution” — worse than we thought. The world though, warms sedately at a mere half a degree per century. This is what 95% certainty looks like. — Jo
Introducing the global warming speedometer
A single devastating graph shows climate panic was unfounded
By Christopher Monckton of Brenchley
A single devastating graph – the new global warming speedometer – shows just how badly the model-based predictions made by the Intergovernmental Panel on Climate Change have failed.
…
9 out of 10 based on 132 ratings […]
How convenient?! A new study shows that human influence on the climate started just before the major (and unerasable) heatwaves of the late 1930s, thus wrapping those awkward years under the banner of Man Made Climate. This study provides the handy peer reviewed link-bomb “answer” to that.
The inexplicable heat of the 1930s and 40s has been a constant source of pain for Global Worriers. Skeptics can point out that the decadal rate of warming was pretty much the same back then, even though CO2 was at the ideal, clima-perfecto level, of 310ppm. How could it be that massive 400ppm of CO2 was barely able to break the heat records set when CO2 was almost 25% lower?
Well, finally, mystery solved. A new Australian study compares models that don’t-explain-the-climate with CO2, to ones that-don’t-explain-the-climate without CO2. These models assume CO2 causes warming, so when they take out the CO2 factor that was added in to produce “the climate”, the models prove, ipso gloriousi, that CO2 causes warming. Indeed their method is so good, it can’t fail. As Anthony Watts says “it seems clear to me that the conclusion existed before the paper was written.” Quite.
Say hello to Climate Numerology […]
Don’t underestimate the importance of the nameless basic model. It sounds small, but in the culture and philosophy of climate science it’s bigger and carries more weight than the massive hairy GCMs. Like an invisible gossamer web, it’s overarching. It spans and defines all the other models. When they produce “dumb” answers, the basic model holds them in, for thou shalt not stray too far from the climate sensitivity defined by the basic model. It defines what “dumb” is. (It’s just “basic physics” after all.) One model to bind them all. What could possibly go wrong?
A lot, apparently. The physics might be right, but the equations are calculating imaginary conditions. The answers might be arithmetically correct but useless at the same time. They miss the real route that energy flows through to space.
By definition, as long as the basic model is wrong, the GCM models can never get it right.
It’s not like climate scientists consult the oracle of the basic model every day, or even once a year… they don’t need to. They were taught it their climate larval stage, often long before they’d written one paper. The basic model shows that the warming of […]
In typical style I looked at this draft and told David that the second half of his post should be at the top (that’s where he discusses how his model solves so many problems). He replied that the equations were the most important part, and he wasn’t going to flip them around. So, for readers who don’t speak mathematica-lingua, all I can say, is don’t miss the second half below.
Also in typical style, David prefers this picture he’s just drawn in his diagramming software, to my cartoon in the intro to post 11:
In this post, David combines the two smaller models to make one basic climate model (that’s the sum-of-warmings and the OLR models). Unlike the mainstream conventional basic model that underlies the entire establishment culture and philosophy, the alternative model uses more empirical data (and from the real world too, not just the lab). It’s also less reliant on hypothetical partial derivatives. Plus, in the alternate model, different forcings can cause different responses. In the conventional model, the architecture assumes the climate responds to to all forcings the same way.
CO2 has a warming effect on the atmosphere, rather than just on the surface, […]
Conventional models assume increasing atmospheric CO2 warms the surface, then apply the feedbacks to the surface warming. But if feedbacks start up in the atmosphere instead, everything changes.
This is a post with big potential. A feedback the other climate models miss?
All the establishment models assume carbon dioxide warms the sky, which leads to the surface warming*, and the feedbacks then apply to the surface warming. It’s in the model architecture, the models can’t do it any other way. But what if the feedbacks don’t wait — what if the feedbacks start right away, up in the atmosphere? What if, say, CO2 warms the air, and that affects humidity and or clouds right then and there? These would be feedbacks operating on tropospheric warming, and they can reroute that energy.
Potentially, this blows everything away. If the energy blocked by increasing CO2 is merely escaping Earth through emissions from another gas in the atmosphere, like say, the dominant greenhouse gas, water-vapor, then could this explain why the effect of Co2 has been exaggerated in the conventional models?
We call this the “rerouting feedback” because when it’s harder for energy to escape to space through the CO2 pipe, this […]
And the series continues, poking another hole in the models, with bigger holes to come.
See the larger version in the post below
What if CO2 caused more greenery, which produced more volatile organic gases, which increased rainfall and changed cloud cover? The models would be blind to it. They’re “supercomputer-complicated”, but miss many of the feedbacks on Earth. The only feedbacks the models consider are ones that occur because of changes in temperature. And worse, it’s not just changes in temperature, but specifically, changes in surface temperature.
If, say, cosmic rays caused a change in cloud cover, or the Sun influenced ozone which in turn caused the jet streams to shift closer to the equator, there are no feedbacks worth mentioning according to the large GCM models. The conventional basic model assumes, is built on the idea that nothing causes changes to Earth’s climate unless it works through surface heating — and the GCMs have the same architecture. Cloud cover does not change ice cover. Ocean currents don’t change cloud cover. Changes in biology don’t change clouds. Only changes in surface temperature changes cloud cover.
It’s a good place to start looking for missing negative feedbacks (though, […]
Read the post to see it properly.
A feast. A feast! For those who want the meat, the math and the diagrams (don’t miss the diagrams). As far as we know, this is the first time the architecture of the basic climate model has been laid out in one place on the Net. This is the most math heavy post this series, but it has to be done, and properly. This is where the 1.2 °C direct effect of doubling CO2 gets amplified to 2.5 °C with fairly basic physics. If the equations are not your forte, look at the “the Establishment Case” below the equations to get some idea why establishment scientists find it mind-bendingly hard to imagine how climate sensitivity could possibly be much different.
For commenters who know there are problems with this model (don’t we all), one of the points of doing this is to get through to the establishment leaders — to speak their language instead of having separate conversations. Of course, for some minds it will not matter what skeptical scientists say, but for other, key people, it will. We would expect seeing the flaws laid out so clearly will undercut the implacable […]
This is the most uncontroversial post ever put on this blog — it’s everything the IPCC would agree with and the key to their unshakable confidence.
This post is for the independent thinkers, the brains that want to know exactly where the famous, core, 1.2 °C figure comes from. That’s the number of degrees that a doubling of CO2 would bring, and it’s a figure that underlies decades of research and the figure that the big models are built around. Here, as far as we know, is the simplest, accurate reference to that reasoning and their maths. We have always assumed the 1.2 °C figure is correct, and focused on questioning the feedbacks that are assumed to drive that base figure up to 3°C (or 6°C or molten-Venus-here-we-come!)
We are not criticizing the estimate here, but this is so key and central to the whole climate-clean-green industry, and the models, it has to be laid out. This is the source of “implacable confidence” among the leading thinkers of establishment climate science. It is long past time that skeptical scientists put these details — warts and all — out in public. Dr David Evans is laying out the foundation […]
For those of you who are die-hard puzzle solvers here to spar about cutting edge research: good news, here’s where we begin the long awaited update to Dr David Evans’ climate research. There are a few surprises, sacred cows, we did not expect we would need to challenge, like the idea of “forcings”.
Government science is stuck in a rut, strangled – trying to capture the creative genius of discovery and force it through a bureaucratic formula, like it can work to a deadline or be judged by the number of papers, or pages, or citations, or by b-grade officials. Blogs are new, but this form of independent scientific research, done for the thrill of discovery, outside institutions and funded by philanthropists, is the way science was mainly done before WWII.
For the first time we are going to explain the architecture of the inner core of the climate models, the small model at the center that the big GCM’s are built around. It is mostly a physics model, and it’s mostly “basic” and mostly right. It’s the reason for the implacable confidence of the establishment in the climate debate. But there are a couple of big problems… […]
In the twit-world, it’s being called Bloomberg and NASA’s “proof” that man made CO2 is causing global warming.
But it’s just a zombie rehash of the same-old routine I described in How to create a crisis graph in 6 simple steps. It’s all in the art of what you don’t say and the things you leave off the graph. This is a “NASA” graph that reduces everything about the sun to one single temperature. As if the magneto-nuclear-dynamo 1.3 million times the volume of the Earth would have a weather report that just read “still hot”. Nothing to see here…
Want to scare people with graphs? Pretend your climate models work. Ignore the missing hot spot, the pause, the record antarctic sea-ice, the lack of accelerating seas, and the utter failure of climate models to model anything before the last 150 years, as well as stuff like “rain[1]“, “ drought [2]” and “humidity[3]“. Include all the factors you can think of that don’t explain the latest bump in the squiggly line. Ignore all the factors that might like cosmic rays, solar wind, solar magnetic effects, solar spectrum cycles, lunar effects on our atmosphere, and who knows how many other potential […]
Remember how all the news stories keep telling us the evidence is growing and getting stronger than ever “against the skeptics”?
David Stockwell has done a beautiful graph of the value of climate sensitivity estimates that of recent climate research that Steven McIntyre discussed in detail.
The trend looks pretty clear. Reality is gradually going to force itself on the erroneous models.
…
Indications are that around 20202030 climate sensitivity will hit zero. ;- )
The red line is ECS — Equilibrium climate sensitivity — which means after the party is all over in years to come, in the long run, this is how much the planet responds to a doubling of CO2.
The blue line is TCR — Transient Climate Response — is an estimate of what happens in the next 20 years. It’s a short term estimate.
Obviously the big question is: What happens when climate sensitivity goes negative?
Check out NicheModelling, Stockwell’s great blog, it deserves more attention.
h/t David, Lance, Ken
9.4 out of 10 based on 119 ratings
In the topsy turvy world of modern science, big-government has strangled science to the point where bright outsiders know more than the fully trained “experts”.
Maurice Newman, the chairman of the P.M’s business advisory council, daringly wrote in The Australian:
“It’s a well-kept secret, but 95 per cent of the climate models we are told prove the link between human CO2 emissions and catastrophic global warming have been found, after nearly two decades of temperature stasis, to be in error.”
In Senate estimates, a Greens spokesperson asked Dr Rob Vertessy, Director of the Australian Bureau of Meteorology (BoM) on his view of this. “That is incorrect,” he said, showing how little he knows about climate models, where everyone (even the IPCC) is trying to figure out excuses for their failures. Some even invent time-travelling climate models that can finally “predict” today’s climate correctly a decade after it happened.
If Maurice Newman was wrong, he was far too generous to the climate modelers. Instead of a 95% failure rate, it’s well up over 98%. Hans von Storch et al published a paper nearly two years ago comparing models and observations of a 15 year long pause. Statistically von Storch […]
A new telescope has peered into the Sun to see solar magnetic flux ropes for the first time. Severe flux rope twists have been described as being like “earthquakes” on the sun, and are linked to eruptions of large solar flares that change magnetic fields, and cause radiation and energetic particles to rain on Earth.
We don’t know much about solar magnetic flux ropes. We know they affect space weather, but thanks to climate experts we already “know” they can’t possibly, ever in a million years, affect Earth’s weather. Even though we’ve only just been able to see them and have no long term data on them, we have Global Circulation Climate models (which don’t include these solar factors), so we have 95% certainty that none of the particles, fields or radiation changes have much impact on Earth. They might fritz satellites, electronics and communications, but Earth’s atmosphere has no electrical component (wink), and the models “work” (kinda, sorta, apart from “the pause”, the arctic, the ocean, the antarctic, and the holocene) without any of this fuzzy solar stuff. Got that? Repeat after me. The Sun does not affect Earth’s climate. (Good boys and girls. You are fit for a […]
The Climate Council calculate the “odds” that one warm year could be as hot as it was. But those “odds” depend on a logical fallacy, major, inexplicable adjustments and models we know are broken. There are invisible assumptions underlying that claim which are documentably untrue. The “odds” might as well be lotto results.
The fallacy is argument from ignorance, a failure of logic and reasoning like saying “X is true, because we can’t think of anything else“.
To estimate meaningful odds, scientists would have to understand the major driving factors of our climate, well enough to be able to assign probabilities to outcomes. But their models are hopelessly broken, they can’t predict a decadal average on a global or continental scale. They can’t hindcast the past “bumps” without using major adjustments to make the raw observations fit the models. They don’t know why the medieval warm period was warm, they don’t know why the Little Ice Age was cool. They don’t know why the world started warming 200 years before we poured out industrial levels of CO2. They don’t know if the mystery factors driving our climate for the last 4.5 billion years are still operating. If we can’t predict […]
Two papers on ocean heat released together today. The first says the missing heat is not in the deep ocean abyss below 2000m. The second finds the missing heat in missing data in the Southern Hemisphere instead. Toss out one excuse, move to another.
The first paper by Llovel and Willis et al, looked at the total sea-level rise as measured by adjusted satellites*, then removed the part of that rise due to expanding warming oceans above 2,000 m and the part due to ice melting off glaciers and ice-sheets.** The upshot is that the bottom half of the ocean is apparently not warming — there was nothing much left for the deep oceans to do. This result comes from Argo buoy data which went into full operation in 2005. (Before Argo the uncertainties in ocean temperature measurements massively outweigh the expected temperature changes, so the “data” is pretty useless.)
Figure 2 | Global mean steric sea-level change contributions from different layers of the ocean. 0–2,000m (red), 0–700m (green), 700–2,000m (blue). The dashed black curve shows an estimate for the remainder of the ocean below 2,000m computed by removing the 0–2,000m estimate from the GRACE-corrected observed mean sea-level time […]
Finally, for only the 87th time, climate modellers have uncovered the definitive proof they’ve been finding in different forms every year since 1988.
ARC extreme unscience – corrected at no cost to the Australian taxpayer. Click for a big printable copy.
They seek, and find, the most excellent propaganda they can pretend is science. Look, this is the specific handprint of non-specific climate-change! Everything bar climate-sameness is proof the climate changes. How inane? The unscientific vagueness gives this poster away as being more about propaganda than about communication of science.
… in a special edition of the Bulletin of the American Meteorological Society, examining extreme events around the world during 2013, a series of papers home in on the Australian heat waves, and identify a human influence.
Using short, noisy records, with flawed and adjusted data, it is possible to run broken climate models and show “definitively” that current heat-waves and hottest years are due to man-made emissions. And if you believe that, you could be gullible enough to be a Guardian journalist.
That is, climate models that do not include solar factors like magnetic fields, solar winds, cosmic rays, solar spectral changes, or lunar effects are able to […]
You won’t believe… Research shows surprise global warming ‘hiatus’ could have been forecast
[The Guardian] Australian and US climate experts say with new ocean-based modelling tools, the early 2000s warming slowdown was foreseeable. Australian and US researchers have shown that the slowdown in the rate of global warming in the early 2000s, known as a so-called “global warming hiatus”, could have been predicted if today’s tools for decade-by-decade climate forecasting had been available in the 1990s.
And I’ve got a model that would have predicted the 1987 stock market crash, the GFC, and the winner of the Melbourne Cup. What I would not have predicted is that lame excuses this transparent, would be made by people calling themselves scientists, Gerald Meehl, and repeated by people calling themselves journalists. (That’s you, Melissa Davey). Though I’m not surprised that research this weak had to be published by Nature. (Where else?)
Although global temperatures remain close to record highs, they have shown little warming trend over the past 15 years, a slowdown that earlier climate models had been largely unable to predict.
This has been used by climate change sceptics as evidence that climate change prediction models are flawed.
Imagine that, the stupid […]
Remember how CO2 is supposed to cause warmer winters, and warmer nights? Well now CO2 also produces cold snaps. No matter what weather you get, there is a citation to blame CO2. Nature (the formerly great science journal) and Northeastern University have produced another permutation of outputs from models we know are broken.
The first line in the press release is false and smugly so: “most scientists — 97 percent of them, to be exact — agree that the temperature of the planet is rising and that the increase is due to human activities….” 10 seconds on Google would have shown — 60% of geoscientists and engineers don’t agree.
If Kodra and co were trying to be accurate, they could have said “97% of annointed climate scientists agree… “. If they were trying to be scientific, of course, they wouldn’t mention a consensus at all. If they had good evidence, they’d talk about that instead.
They dug deep in The-Book-of-Cliches for the press release. Strip away the advertising spin and I think this is the nub of the work:
“While global temperature is indeed increasing, so too is the variability in temperature extremes. For instance, while each […]
We could spend hours analyzing the new IPCC report about the impacts of climate change. Or we could just point out:
Everything in the Working Group II report depends entirely on Working Group I.
( see footnote 1 SPM, page 3).
Working Group I depends entirely on climate models and 98% of them didn’t predict the pause.
The models are broken. They are based on flawed assumptions about water vapor.
Working Group I, remember, was supposed to tell us the scientific case for man-made global warming. If our emissions aren’t driving the climate towards a catastrophe, then we don’t need to analyze what happens during the catastrophe we probably won’t get. This applies equally to War, Pestilence, Famine, Drought, Floods, Storms, and Shrinking Fish (which, keep in mind, could have led to the ultimate disaster: shrinking fish and chips).
To cut a long story short, the 95% certainty of Working Group I boils down to climate models and 98% of them didn’t predict the pause in surface temperature trends (von Storch 2013) . Even under the most generous interpretation, models are proven failures, 100% right except for rain, […]
The backdown continues. Faced with the ongoing failure of their models, the search rolls on for any factor that helps “explain” why the official climate scientists are still right even though they got it so wrong. The new England et al paper endorses skeptics in so many ways.
The world might warm by only 2.1 degrees this century, not 4c. (Skeptics were right — the models exaggerate). There has been and is a pause in warming which the 95%-certain-models didn’t predict. (The science wasn’t settled.) What the trade-winds giveth, they can also taketh away. If they “cause cooling” after 2000, then they probably “caused warming” before that. How much less important is CO2? Ultimately, newer models are less wrong if they include changes in wind speed, but they don’t know what drives the wind. It’s curve fitting with one more variable.
As usual, the models still can’t predict the climate, but they can be adjusted post hoc with new factors to trim their overestimates back to within the errors bars of some observations.
As I said nearly 2 years ago, Matthew England owes Nick Minchin an apology:
Nick Minchin: ” there is a major problem with the warmist argument […]
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JoNova A science presenter, writer, speaker & former TV host; author of The Skeptic's Handbook (over 200,000 copies distributed & available in 15 languages).
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