The Plain fact is there is no discernable slowdown of CO2 rise that is seen in other actual pollutants.

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This is evidence that much of CO2 is likely increasing from a natural source, and warm oceans (just like water vapor) is a likely source.

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Oceans the biggest reservoir of CO2. A simple experiment - open a can of Coke and let it warm to room temperature. You will see it loses much of its fizz.

At the very least 2 things are obvious, 1) this is showing there is reason to question the origins of COs’s increase (note my words question, not just accept it blindly) and 2) That people pushing economic shutdowns as a way to combat global warming are apparently unaware of this glaring gash in their argument. CO2 is quick to react to changes. That is why you see the big downturns and upturns as the greening northern hemisphere demonstrate plants love of CO2 (solution plant trees) and what happens when they are not there (winter).

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I suspect the amount of warmth in the oceans have not yet reached an equilibrium and are still in a positive outsourcing situation But the data is there. Mans output has shutdown, but the warm oceans is there So why the rise if its man.

Timothy Birdnow
This is the first time we had experimental data on this issue and it essentially fails to support the theory that carbon dioxide is being increased in the atmosphere by industrial emissions. It’s actually quite amazing; almost falsifies the whole theory. But we won’t hear anything about this in the mainstream media, and it’s doubtful even in science journals.

From NOAA ESRL

Can we see a change in the CO2 record because of COVID-19?

There have been many inquiries whether we can see in our CO2 measurements at Mauna Loa and elsewhere the slowdown in CO2 emissions from the burning of fossil fuels. That drop in emissions needs to be large enough to stand out from natural CO2 variability caused by how plants and soils respond to seasonal and annual variations of temperature, humidity, soil moisture, etc. These natural variations are large, and so far the “missing” emissions do not stand out, but we may see them as the year progresses. Here is an example: If emissions are lower by 25%, then we would expect the monthly mean CO2 for March at Mauna Loa to be lower by about 0.2 ppm. When we look at many years of the difference between February and March we expect March to be higher by 0.74 ppm, but the year-to-year variability (one standard deviation) of the difference is 0.40 ppm. This year the difference is 0.40 ppm, or 0.33 below average, but last year it was 0.52 ppm below average.

Most of the emissions come from urban areas, so that it may be easier to see the effect downwind of cities, although also in that case they need to stand out from natural variations. Only measurements of carbon-14 in CO2 would enable us to cleanly separate fossil sources of CO2 from ecosystem sources and sinks regardless of how variable the latter are.

The only climate model that agrees with observations says there is NO climate emergency. Meanwhile half of the IPCC models are getting hotter than ever before, hence getting further from reality than ever before. A modeling showdown is looming and CLINTEL is a leader among the climate critics. They make a strong plea that in the current health emergency any climate action should be put on hold. “Why construct a false climate crisis on top of a true corona crisis?”

My previous article - ”CLINTEL Manifesto blasts climate scaremongering” - includes the all important graphic showing a dramatic divergence of the IPCC climate model predictions from the satellite temperature readings. The models are all running much hotter than reality.

There is however one major model that agrees with the satellites, that being the Russian model. The reason is simple, yet profound. CLINTEL President professor Guus Berkhout explains it this way: “I have studied Russia’s climate model INM. Unlike IPCC’s models, the Russian INM model predictions fit the measurements remarkably well. A plausible explanation is that it uses a negative cloud feedback: -0.13 W/m2/degree C, while the IPCC models use a large positive cloud feedback: up to + 0.80 W/m2/degree C. This large positive cloud feedback is responsible for the catastrophic IPCC predictions.”

The physics behind this explanation is pretty simple. Warming leads to more water vapor on the air, which causes increased cloudiness. Clouds can then either increase the warming (positive feedback) or decrease it (negative feedback). The scientific question is which occurs? The Russians are finding that it is a negative feedback. Measurements support them.

CLINTEL is an international climate science advisor so it makes sense that they look closely at these findings. Their vision is: “Progress requires Freedom of Speech and Freedom of Scientific Inquiry.” In fact Professor Berkhout has been officially invited by the Russian Academy of Sciences to learn more about the INM model and to share the climate vision of CLINTEL.

Unlike the U.S. and European modelers, the Russian modeling community has not been captured by the alarmists. This has given them the freedom to explore the negative feedback option, which the alarmists have refused to do, at least so far.

Yet even within the alarmist community we see a promising development, as a big fight is shaping up over cloud feedbacks. The IPCC is in the process of writing the latest of its big Assessment Reports, which it does every five years or so, this being the sixth report (AR6). Most of the major alarmist climate models are run to feed into this report.

This time we see that in AR6 about half of these models are running much hotter than they did for the fifth report (AR5). Although the review process is not yet finished, it appears that the AR6 modelers have juiced up the positive cloud feedback. We are not aware of any big new science to support this exaggeration. Has it been done to support the political push for radical zero-carbon laws? The hotter the model the worse the catastrophe it predicts from fossil fuel use, justifying a higher level of panic.

A lot of people within the climate community are questioning this increased global warming in the AR6 model outputs. For one thing it suggests that at least half of the models are wrong, either the half that haven’t become hotter (predicting the same level of panic as in AR5) or the half that have (predicting a higher level of panic as in AR679). In the process the alarmist consensus is coming apart. How the IPCC will handle this schism remains to be seen.

A higher positive cloud feedback may not solve all inconsistencies, but for sure we may state that it is a most unlikely assumption on the modeler’s part. No science compels this choice and measurements strongly advise against it. This opens the door for the empirically confirmed Russian findings, which call into question the entire catastrophe narrative of AR5 and even more AR6.

Professor Berkhout puts it succinctly: “If the Russians are right, the carbon budget - being the amount of carbon mankind may emit before we reach the 1.5 and 2 degree C warming thresholds in The Paris Accord - is very, very large. In other words, there is no problem with continuing CO2 emissions until we have a technologically reliable and economically affordable alternative. Zero emission in 2050 is totally foolish. Looking at the the current health emergency it is a crime against humanity.”

It is ironic, yet fitting, that the “blue sky” fantasy of climate alarmism may be brought back down to earth by clouds. Negative feedback is a truly positive message.

Stay tuned to CFACT to see how this drama unfolds.

David Wojick, Ph.D. is an independent analyst working at the intersection of science, technology and policy. For origins see For over 100 prior articles for CFACT see Available for confidential research and consulting.

I was pleased to see this effort in IBD’s new Issues and Insights effort highlighted below. It is a very much needed addition and we strongly suggest you share and bookmark the story and the site. And financially support their noble and critically important effort.

Let me say something first as an introduction.

Although, I chaired one of the largest departments of meteorology in 6 years in Academia and taught courses at two other colleges and have had 50 years of operational experience with researching and forecasting weather and climate, was Fellow of the AMS, Chair of Weather Analysis and Forecasting committee for the AMS, and elected as a Councilor, I was told by local colleges I was not qualified to teach science. I could tell you many other examples of real scientists being forced out or forced to teach courses like Geography if tenured. Look at GMU for example. Ed Wegman helped expose the climategate saga. He was replaced by environmental radicals and liars. The indoctrination continues. The climate CABAL in government and professional societies and universities controls the message with empty suits as Lead Authors.

Then there is Wikipedia which has used special editors (like Kim Dabelstein Petersen and and William Connolley here) who edit wiki sites that challenge the alarmists position. They change the entries to attack the author or make major changes. They have recently stopped maintaining a list of skeptics.  They are hurting as most people get information through search engines that is reducing Wiki coverage. They are begging for donations. Instead please support our site of other sites providing honest science.

The attraction for many is $$$ and plenty of it. Federal funding for climate change research, technology, international assistance, and adaptation has increased from $2.4 billion in 1993 to $11.6 billion in 2014, with an additional $26.1 billion for climate change programs and activities provided by the American Recovery and Reinvestment Act in 2009,” says the GAO. Not a penny goes to anyone who believes it is mostly natural. All our efforts to expose the truth are volunteer (pro-bono). Help us with a donation if you can (left column). If you have an idea how to fund the good scientists being blocked contact me at jdaleo6113@aol.com. Thanks for the help you gave us in 2019 to cover our costs for maintenance for the first time in a few years.

If you count my contributions at Weatherbell.com, I work on 5 web sites:

Icecap.us

Alarmist Claim Research with rebuttals to the dozen alarmist claims in the news and assessments.

Tropical Hot Spot Research started to show our independent peer-reviewed research showing how natural factors can explain the changes we have observed in 14 different data sets.

and one my college roommate wanted me to start Redneckusa with a look at technology - good and bad ideas. See the latest post here on how Ozone Hole Shenanigans were the warm-up act for Global Warming.

Let me know what you think, suggest new stories and submit your own.

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The Academic Blacklist Climate Alarmists Don’t Want You To Know About

February 28, 2020

16 comments

I&I Editorial

The global warming faithful are always quick with the talking points about a “scientific consensus” that doesn’t exist, and the tale that 97% of scientists say man is causing the planet to overheat. But we’ll never hear them discuss publicly how researchers who don’t agree with the narrative have been blacklisted.

What are they afraid of?

Of course the climate alarmists will never admit such a list even exists. But Roger Pielke Jr., who teaches science, environment, and technology policy at the University of Colorado, says it does.

“A climate advocacy group called Skeptical Science hosts a list of academics that it has labeled ‘climate misinformers,” Pielke recently wrote in Forbes. “The list includes 17 academics and is intended as a blacklist.”

Pielke says we know this through a Skeptical Science blogger “named Dana Nuccitelli.” According to Pielke, Nuccitelli believes that Judith Curry should be “unhirable in academia” based on her statements about global warming.

Nuccitelli tweeted that “Curry’s words, as documented… are what make her ‘unhirable.’” Both the blog and Nuccitelli of course deny there’s a blacklist.

The “unhirable” Curry is no crank. She is the former chair of Georgia Tech’s School of Earth and Atmospheric Sciences, and is a fellow of both the American Geophysical Union and American Meteorological Society. She stepped down from her position at Georgia Tech at the insistence of an administrator, she told Pielke. The Earth and Atmospheric Sciences dean had heard from “several activist climate scientists who had a very direct pipeline to the dean’s office, and had expressed their “extreme displeasure” over Curry’s presence at the school, she said.

Curry looked into positions at other universities, interviewed for two, but was never hired. According to her headhunter, “the show stopper” was my public profile in the climate debate.

But there’s no blacklist - nothing to see here, so let’s move on… to Pielke’s father, Roger Pielke Sr. The atmospheric scientist “is also listed on the Skeptical Science blacklist.” The younger Pielke says some statements from the Skeptical Science site that had been obtained through hacking included: “We are HUNTING Pielke,” “We are trying to bring him down,” and “My vote is to take the bastard down!”

What has happened to Curry and Pielke Sr. are not isolated incidents: READ MORE EXAMPLES here.
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The system is clearly rigged. But the public is not supposed to know this. Only by keeping voters in the dark can the charade continue.

--- Written by J. Frank Bullitt

Issues & Insights is a new site formed by the seasoned journalists behind the legendary IBD Editorials page. We’re just getting started, and we’ll be adding new features as time permits. We’re doing this on a voluntary basis because we believe the nation needs the kind of cogent, rational, data-driven, fact-based commentary that we can provide.

Update: See also how a German Professors says NASA Has Fiddled Climate Data On ‘Unbelievable’ Scale here.

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There’s a top-level oceanographer and meteorologist who is prepared to cry “Nonsense!” on the “global warming crisis” evident to climate modellers but not in the real world. He’s as well or better qualified than the modellers he criticises - the ones whose Year 2100 forebodings of 4 degC warming have set the world to spending $US1.5 trillion a year to combat CO2 emissions.

The iconoclast is Dr. Mototaka Nakamura. In June he put out a small book in Japanese on “the sorry state of climate science”. It’s titled Confessions of a climate scientist: the global warming hypothesis is an unproven hypothesis, and he is very much qualified to take a stand. From 1990 to 2014 he worked on cloud dynamics and forces mixing atmospheric and ocean flows on medium to planetary scales. His bases were MIT (for a Doctor of Science in meteorology), Georgia Institute of Technology, Goddard Space Flight Centre, Jet Propulsion Laboratory, Duke and Hawaii Universities and the Japan Agency for Marine-Earth Science and Technology. He’s published about 20 climate papers on fluid dynamics.

Today’s vast panoply of “global warming science” is like an upside down pyramid built on the work of a few score of serious climate modellers. They claim to have demonstrated human-derived CO2 emissions as the cause of recent global warming and project that warming forward. Every orthodox climate researcher takes such output from the modellers’ black boxes as a given.

A fine example is from the Australian Academy of Science’s explanatory booklet of 2015. It claims, absurdly, that the models’ outputs are “compelling evidence” for human-caused warming.[ii] Specifically, it refers to model runs with and without human emissions and finds the “with” variety better matches the 150-year temperature record (which itself is a highly dubious construct). Thus satisfied, the Academy then propagates to the public and politicians the models’ forecasts for disastrous warming this century.

Now for Dr Nakamura’s expert demolition of the modelling. There was no English edition of his book in June and only a few bits were translated and circulated. But Dr Nakamura last week offered via a free Kindle version his own version in English. It’s not a translation but a fresh essay leading back to his original conclusions.

The temperature forecasting models trying to deal with the intractable complexities of the climate are no better than “toys” or “Mickey Mouse mockeries” of the real world, he says. This is not actually a radical idea. The IPCC in its third report (2001) conceded (emphasis added),

In climate research and modelling, we should recognize that we are dealing with a coupled non-linear chaotic system, and therefore that the long-term prediction of future climate states is not possible. (Chapter 14, Section 14.2.2.2. )]

Somehow that official warning was deep-sixed by the alarmists. Now Nakamura has found it again, further accusing the orthodox scientists of “data falsification” by adjusting previous temperature data to increase apparent warming “The global surface mean temperature-change data no longer have any scientific value and are nothing except a propaganda tool to the public,” he writes.

The climate models are useful tools for academic studies, he says. However, “the models just become useless pieces of junk or worse (worse in a sense that they can produce gravely misleading output) when they are used for climate forecasting.” The reason:

These models completely lack some critically important climate processes and feedbacks, and represent some other critically important climate processes and feedbacks in grossly distorted manners to the extent that makes these models totally useless for any meaningful climate prediction.

I myself used to use climate simulation models for scientific studies, not for predictions, and learned about their problems and limitations in the process.

Nakamura and colleagues even tried to patch up some of the models’ crudeness

...so I know the workings of these models very well… For better or worse I have more or less lost interest in the climate science and am not thrilled to spend so much of my time and energy in this kind of writing beyond the point that satisfies my own sense of obligation to the US and Japanese taxpayers who financially supported my higher education and spontaneous and free research activity. So please expect this to be the only writing of this sort coming from me.

I am confident that some honest and courageous, true climate scientists will continue to publicly point out the fraudulent claims made by the mainstream climate science community in English. I regret to say this but I am also confident that docile and/or incompetent Japanese climate researchers will remain silent until the ‘mainstream climate science community’ changes its tone, if ever.

He projects warming from CO2 doubling, “according to the true experts”, to be only 0.5degC. He says he doesn’t dispute the possibility of either catastrophic warming or severe glaciation since the climate system’s myriad non-linear processes swamp “the toys” used for climate predictions. Climate forecasting is simply impossible, if only because future changes in solar energy output are unknowable.  As to the impacts of human-caused CO2, they can’t be judged “with the knowledge and technology we currently possess.”

Other gross model simplifications include

# Ignorance about large and small-scale ocean dynamics

# A complete lack of meaningful representations of aerosol changes that generate clouds.

# Lack of understanding of drivers of ice-albedo (reflectivity) feedbacks: “Without a reasonably accurate representation, it is impossible to make any meaningful predictions of climate variations and changes in the middle and high latitudes and thus the entire planet.”

# Inability to deal with water vapor elements

# Arbitrary “tunings” (fudges) of key parameters that are not understood

Concerning CO2 changes he says,

I want to point out a simple fact that it is impossible to correctly predict even the sense or direction of a change of a system when the prediction tool lacks and/or grossly distorts important non-linear processes, feedbacks in particular, that are present in the actual system…

...The real or realistically-simulated climate system is far more complex than an absurdly simple system simulated by the toys that have been used for climate predictions to date, and will be insurmountably difficult for those naive climate researchers who have zero or very limited understanding of geophysical fluid dynamics. I understand geophysical fluid dynamics just a little, but enough to realize that the dynamics of the atmosphere and oceans are absolutely critical facets of the climate system if one hopes to ever make any meaningful prediction of climate variation.

Solar input, absurdly, is modelled as a “never changing quantity”. He says, “It has only been several decades since we acquired an ability to accurately monitor the incoming solar energy. In these several decades only, it has varied by one to two watts per square metre. Is it reasonable to assume that it will not vary any more than that in the next hundred years or longer for forecasting purposes? I would say, No.”

Good modelling of oceans is crucial, as the slow ocean currents are transporting vast amounts of heat around the globe, making the minor atmospheric heat storage changes almost irrelevant. For example, the Gulf Stream has kept western Eurasia warm for centuries. On time scales of more than a few years, it plays a far more important role on climate than atmospheric changes. “It is absolutely vital for any meaningful climate prediction to be made with a reasonably accurate representation of the state and actions of the oceans.” In real oceans rather than modelled ones, just like in the atmosphere, the smaller-scale flows often tend to counteract the effects of the larger-scale flows. Nakamura spent hundreds of hours vainly trying to remedy the flaws he observed, concluding that the models “result in a grotesque distortion of the mixing and transport of momentum, heat and salt, thereby making the behaviour of the climate simulation models utterly unrealistic...”

Proper ocean modelling would require a tenfold improvement in spatial resolution and a vast increase in computing power, probably requiring quantum computers. If or when quantum computers can reproduce the small-scale interactions, the researchers will remain out of their depth because of their traditional simplifying of conditions.

Key model elements are replete with “tunings” i.e. fudges. Nakamura explains how that trick works

The models are ‘tuned’ by tinkering around with values of various parameters until the best compromise is obtained. I used to do it myself. It is a necessary and unavoidable procedure and not a problem so long as the user is aware of its ramifications and is honest about it. But it is a serious and fatal flaw if it is used for climate forecasting/prediction purposes.

One set of fudges involves clouds.

Ad hoc representation of clouds may be the greatest source of uncertainty in climate prediction. A profound fact is that only a very small change, so small that it cannot be measured accurately...in the global cloud characteristics can completely offset the warming effect of the doubled atmospheric CO2.

Two such characteristics are an increase in cloud area and a decrease in the average size of cloud particles.

Accurate simulation of cloud is simply impossible in climate models since it requires calculations of processes at scales smaller than 1mm. Instead, the modellers put in their own cloud parameters. Anyone studying real cloud formation and then the treatment in climate models would be “flabbergasted” by the perfunctory treatment of clouds in the models.

Nakamura describes as “moronic” the claims that “tuned” ocean models are good enough for climate predictions. That’s because, in tuning some parameters, other aspects of the model have to become extremely distorted. He says a large part of the forecast global warming is attributed to water vapor changes, not CO2 changes. “But the fact is this: all climate simulation models perform poorly in reproducing the atmospheric water vapor and its radiative forcing observed in the current climate… They have only a few parameters that can be used to ‘tune’ the performance of the models and (are) utterly unrealistic.” Positive water vapor feedbacks from CO2 increases are artificially enforced by the modelers. They neglect other reverse feedbacks in the real world, and hence they exaggerate forecast warming.

The supposed measuring of global average temperatures from 1890 has been based on thermometer readouts barely covering 5 percent of the globe until the satellite era began 40-50 years ago. “We do not know how global climate has changed in the past century, all we know is some limited regional climate changes, such as in Europe, North America and parts of Asia.” This makes meaningless the Paris targets of 1.5degC or 2degC above pre-industrial levels.

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He is contemptuous of claims about models being “validated”, saying the modellers are merely “trying to construct narratives that justify the use of these models for climate predictions.” And he concludes,

The take-home message is (that) all climate simulation models, even those with the best parametric representation scheme for convective motions and clouds, suffer from a very large degree of arbitrariness in the representation of processes that determine the atmospheric water vapor and cloud fields. Since the climate models are tuned arbitrarily ...there is no reason to trust their predictions/forecasts.

With values of parameters that are supposed to represent many complex processes being held constant, many nonlinear processes in the real climate system are absent or grossly distorted in the models. It is a delusion to believe that simulation models that lack important nonlinear processes in the real climate system can predict (even) the sense or direction of the climate change correctly.

I was distracted from his message because the mix of Japanese and English scripts in the book kept crashing my Kindle software. Still, I persevered. I recommend you do too. There’s at least $US30 trillion ($US30,000, 000,000,000) hanging on this bunfight.

Tony Thomas’s new book, The West: An insider’s tale - A romping reporter in Perth’s innocent ‘60s is available from Boffins Books, Perth, the Royal WA Historical Society (Nedlands) and online here

They include (to give you the flavor)