Data Say Summer 2024 Not So Hot

For sure you’ve seen the headlines declaring 2024 likely to be the Hottest year ever.  If you’re like me, your response is: That’s not the way it’s going down where I live.  Fortunately there is a website that allows anyone to check their personal experience with the weather station data nearby.  weatherspark.com provides data summaries for you to judge what’s going on in weather history where you live.  In my case a modern weather station is a few miles away Summer 2024 Weather History at Montréal–Mirabel International Airport  The story about Summer 2024 is evident below in charts and graphs from this site.  There’s a map that allows you to find your locale.

The daily average high (red line) and low (blue line) temperature, with 25th to 75th and 10th to 90th percentile bands. The thin dotted lines are the corresponding average perceived temperatures.

First, consider above the norms for Summer from the period 1980 to 2016.

Then, there’s Summer 2024 compared to the normal observations.

The daily range of reported temperatures (gray bars) and 24-hour highs (red ticks) and lows (blue ticks), placed over the daily average high (faint red line) and low (faint blue line) temperature, with 25th to 75th and 10th to 90th percentile bands.

The graph shows Summer had some warm days, some cool days and overall was pretty normal.  But since climate is more than temperature, consider cloudiness.

Wow!  Most of the summer was cloudy, which in summer means blocking the warming sun from hitting the surface.   And with all those clouds, let’s look at precipitation:

So, in the observations out of 92 summer days, there were 56 days when it rained, including 11 days of thunderstorms with heavy rainfall. Given what we know about the hydrology cycles, that means a lot of heat removed upward from the surface.

So the implications for Summer temperatures in my locale.

There you have it before your eyes. Mostly warm days for the
three summer months, with exactly eleven hot afternoons (>30°C).
Otherwise comfortable and cool, and no hot
afternoons in September.

Summary:

Claims of hottest this or that month or year are based on averages of averages of temperatures, which in principle is an intrinsic quality and distinctive to a locale.  The claim involves selecting some places and time periods where warming appears, while ignoring other places where it has been cooling.

Remember:  They want you to panic.  Before doing so, check out what the data says in your neck of the woods.  For example, NOAA declared that “July 2024 was the warmest ever recorded for the globe.”

Methane Madness Strikes Again

The latest comes from Australia by way of John Ray at his blog Methane cuts on track for 2030 emissions goal.  Excerpts in italics with my bolds and added images.

Australia’s methane emissions have decreased over the past two decades, according to a new report by a leading global carbon research group.

While the world’s methane emissions grew by 20 per cent, meaning two thirds of methane in the atmosphere is from human activity, Australasia and Europe emitted lower levels of the gas.

It puts Australia in relatively good stead, compared to 150 other signatories, to meet its non-binding commitments to the Global Methane Pledge, which aims to cut methane emissions by 30 per cent by the end of the decade.

The findings were revealed in the fourth global methane budget, published by the Global Carbon Project, with contributions from 66 research institutions around the world, including the CSIRO.

According to the report, agriculture contributed 40 per cent of global methane emissions from human activities, followed by the fossil fuel sector (34 per cent), solid waste and waste­water (19 per cent), and biomass and biofuel burning (7 per cent).

Pep Canadell, CSIRO executive director for the Global Carbon Project, said government policies and a smaller national sheep flock were the primary reasons for the lower methane emissions in Australasia.

“We have seen higher growth rates for methane over the past three years, from 2020 to 2022, with a record high in 2021. This increase means methane concentrations in the atmosphere are 2.6 times higher than pre-­industrial (1750) levels,” Dr Canadell said.

The primary source of methane emissions in the agriculture sector is from the breakdown of plant matter in the stomachs of sheep and cattle.

It has led to controversial calls from some circles for less red meat consumption, outraging the livestock industry, which has lowered its net greenhouse gas emissions by 78 per cent since 2005 and is funding research into methane reduction.

Last week, the government agency advising Anthony Albanese on climate change suggested Australians could eat less red meat to help reduce emissions. And the government’s official dietary guidelines will be amended to incorporate the impact of certain foods on climate change.

There is ongoing disagreement among scientists and policymakers about whether there should be a distinction between biogenic methane emitted by livestock, which already exists in a balanced cycle in plants and soil and the atmosphere, and methane emitted from sources stored deep underground for millennia.

“The frustration is that methane, despite its source, gets lumped into one bag,” Cattle Australia vice-president Adam Coffey said. “Enteric methane from livestock is categorically different to methane from coal-seam gas or mining-related fossil fuels that has been dug up from where it’s been stored for millennia and is new to the atmosphere.

“Why are we ignoring what modern climate science is telling us, which is these emissions are inherently different?”  Mr Coffey said the methane budget report showed the intense focus on the domestic industry’s environmental credent­ials was overhyped.

“I think it’s based mainly on ideology and activism,” Mr Coffey said.

This concern about methane is nonsense.
Water vapour blocks all the frequencies that methane does
so the presence of methane adds nothing

Technical Background

Methane alarm is one of the moles continually popping up in the media Climate Whack-A-Mole game. An antidote to methane madness is now available to those inquiring minds who want to know reality without the hype.

Methane and Climate is a paper by W. A. van Wijngaarden (Department of Physics and Astronomy, York University, Canada) and W. Happer (Department of Physics, Princeton University, USA) published at CO2 Coalition November 22, 2019. Below is a summary of the more detailed publication. Excerpts in italics with my bolds.

Overview

Atmospheric methane (CH4) contributes to the radiative forcing of Earth’s atmosphere. Radiative forcing is the difference in the net upward thermal radiation from the Earth through a transparent atmosphere and radiation through an otherwise identical atmosphere with greenhouse gases. Radiative forcing, normally specified in units of W m−2 , depends on latitude, longitude and altitude, but it is often quoted for a representative temperate latitude, and for the altitude of the tropopause, or for the top of the atmosphere.

For current concentrations of greenhouse gases, the radiative forcing at the tropopause, per added CH4 molecule, is about 30 times larger than the forcing per added carbon-dioxide (CO2) molecule. This is due to the heavy saturation of the absorption band of the abundant greenhouse gas, CO2. But the rate of increase of CO2 molecules, about 2.3 ppm/year (ppm = part per million by mole), is about 300 times larger than the rate of increase of CH4 molecules, which has been around 0.0076 ppm/year since the year 2008.

So the contribution of methane to the annual increase in forcing is one tenth (30/300) that of carbon dioxide. The net forcing increase from CH4 and CO2 increases is about 0.05 W m−2 year−1 . Other things being equal, this will cause a temperature increase of about 0.012 C year−1 . Proposals to place harsh restrictions on methane emissions because of warming fears are not justified by facts.

The paper is focused on the greenhouse effects of atmospheric methane, since there have recently been proposals to put harsh restrictions on any human activities that release methane. The basic radiation-transfer physics outlined in this paper gives no support to the idea that greenhouse gases like methane, CH4, carbon dioxide, CO2 or nitrous oxide, N2O are contributing to a climate crisis. Given the huge benefits of more CO2 to agriculture, to forestry, and to primary photosynthetic productivity in general, more CO2 is almost certainly benefitting the world. And radiative effects of CH4 and N2O, another greenhouse gas produced by human activities, are so small that they are irrelevant to climate.

Transmission of shortwave solar irradiation and long wavelength radiation from the Earth’s surface through atmosphere, as permitted by Rohde [2]. Note absorption wavelengths of CH4 and N2O are already covered by H2O and CO2.

Radiative Properties of Earth Atmosphere

On the left of Fig. 2 we have indicated the three most important atmospheric layers for radiative heat transfer. The lowest atmospheric layer is the troposphere, where parcels of air, warmed by contact with the solar-heated surface, float upward, much like hot-air balloons. As they expand into the surrounding air, the parcels do work at the expense of internal thermal energy. This causes the parcels to cool with increasing altitude, since heat flow in or out of parcels is usually slow compared to the velocities of ascent of descent.

Figure 2: Left. A standard atmospheric temperature profile[9], T = T (z). The surface temperature is T (0) = 288.7 K . Right. Standard concentrations[10], C {i} = N {i}/N for greenhouse molecules versus altitude z. The total number density of atmospheric molecules is N . At sea level the concentrations are 7750 ppm of H2O, 1.8 ppm of CH4 and 0.32 ppm of N2O. The O3 concentration peaks at 7.8 ppm at an altitude of 35 km, and the CO2 concentration was approximated by 400 ppm at all altitudes. The data is based on experimental observations.

If the parcels consisted of dry air, the cooling rate would be 9.8 C km−1 the dry adiabatic lapse rate[12]. But rising air has usually picked up water vapor from the land or ocean. The condensation of water vapor to droplets of liquid or to ice crystallites in clouds, releases so much latent heat that the lapse rates are less than 9.8 C km−1 in the lower troposphere. A representative lapse rate for mid latitudes is dT/dz = 6.5 K km−1 as shown in Fig. 2.

The tropospheric lapse rate is familiar to vacationers who leave hot areas near sea level for cool vacation homes at higher altitudesin the mountains. On average, the temperature lapse rates are small enough to keep the troposphere buoyantly stable[13]. Tropospheric air parcels that are displaced in altitude will oscillate up and down around their original position with periods of a few minutes. However, at any given time, large regions of the troposphere (particularly in the tropics) are unstable to moist convection because of exceptionally large temperature lapse rates.

The vertical radiation flux Z, which is discussed below, can change rapidly in the troposphere and stratosphere. There can be a further small change of Z in the mesosphere. Changes in Z above the mesopause are small enough to be neglected, so we will often refer to the mesopause as “the top of the atmosphere” (TOA), with respect to radiation transfer. As shown in Fig. 2, the most abundant greenhouse gas at the surface is water vapor, H2O. However, the concentration of water vapor drops by a factor of a thousand or more between the surface and the tropopause. This is because of condensation of water vapor into clouds and eventual removal by precipitation. Carbon dioxide, CO2, the most abundant greenhouse gas after water vapor, is also the most uniformly mixed because of its chemical stability. Methane, the main topic of this discussion is much less abundant than CO2 and it has somewhat higher concentrations in the troposphere than in the stratosphere where it is oxidized by OH radicals and ozone, O3. The oxidation of methane[8] is the main source of the stratospheric water vapor shown in Fig. 2.

Future Forcings of CH4 and CO2

Methane levels in Earth’s atmosphere are slowly increasing.  If the current rate of increase, about 0.007 ppm/year for the past decade or so, were to continue unchanged it would take about 270 years to double the current concentration of C {i} = 1.8 ppm. But, as one can see from Fig.7, methane levels have stopped increasing for years at a time, so it is hard to be confident about future concentrations. Methane concentrations may never double, but if they do, WH[1] show that this would only increase the forcing by 0.8 W m−2. This is a tiny fraction of representative total forcings at midlatitudes of about 140 W m−2 at the tropopause and 120 W m−2 at the top of the atmosphere.

Figure 9: Projected mid-latitude forcing increments at the tropopause from continued increases of CO2 and CH4 at the rates of Fig. 7 and Fig. 8 for the next 50 years. The projected forcings are very small, especially for methane, compared to the current tropospheric forcing of 137 W m−2.

The per-molecule forcings P {i} of (13) and (14) have been used with the column density Nˆ of (12) and the concentration increase rates dC¯{i}/dt, noted in Fig. 7 and Fig. 8, to evaluate the future forcing (15), which is plotted in Fig. 9. Even after 50 years, the forcing increments from increased concentrations of methane (∆F = 0.23 W m−2), or the roughly ten times larger forcing from increased carbon dioxide (∆F = 2.2 W m−2) are very small compared to the total forcing, ∆F = 137 W m−2, shown in Fig. 3. The reason that the per-molecule forcing of methane is some 30 times larger than that of carbon dioxide for current concentrations is “saturation” of the absorption bands. The current density of CO2 molecules is some 200 times greater than that of CH4 molecules, so the absorption bands of CO2 are much more saturated than those of CH4. In the dilute“optically thin” limit, WH[1] show that the tropospheric forcing power per molecule is P {i} = 0.15 × 10−22 W for CH4, and P {i} = 2.73 × 10−22 W for CO2. Each CO2 molecule in the dilute limit causes about 5 times more forcing increase than an additional molecule of CH4, which is only a ”super greenhouse gas” because there is so little in the atmosphere, compared to CO2.

Methane Summary

Natural gas is 75% Methane (CH4) which burns cleanly to carbon dioxide and water. Methane is eagerly sought after as fuel for electric power plants because of its ease of transport and because it produces the least carbon dioxide for the most power. Also cars can be powered with compressed natural gas (CNG) for short distances.

In many countries CNG has been widely distributed as the main home heating fuel. As a consequence, in the past methane has leaked to the atmosphere in large quantities, now firmly controlled. Grazing animals also produce methane in their complicated stomachs and methane escapes from rice paddies and peat bogs like the Siberian permafrost.

It is thought that methane is a very potent greenhouse gas because it absorbs some infrared wavelengths 7 times more effectively than CO2, molecule for molecule, and by weight even 20 times. As we have seen previously, this also means that within a distance of metres, its effect has saturated, and further transmission of heat occurs by convection and conduction rather than by radiation.

Note that when H20 is present in the lower troposphere, there are few photons left for CH4 to absorb:

Even if the IPCC radiative greenhouse theory were true, methane occurs only in minute quantities in air, 1.8ppm versus CO2 of 390ppm. By weight, CH4 is only 5.24Gt versus CO2 3140Gt (on this assumption). If it truly were twenty times more potent, it would amount to an equivalent of 105Gt CO2 or one thirtieth that of CO2. A doubling in methane would thus have no noticeable effect on world temperature.

However, the factor of 20 is entirely misleading because absorption is proportional to the number of molecules (=volume), so the factor of 7 (7.3) is correct and 20 is wrong. With this in mind, the perceived threat from methane becomes even less.

Further still, methane has been rising from 1.6ppm to 1.8ppm in 30 years (1980-2010), assuming that it has not stopped rising, this amounts to a doubling in 2-3 centuries. In other words, methane can never have any measurable effect on temperature, even if the IPCC radiative cooling theory were right.

Because only a small fraction in the rise of methane in air can be attributed to farm animals, it is ludicrous to worry about this aspect or to try to farm with smaller emissions of methane, or to tax it or to trade credits.

The fact that methane in air has been leveling off in the past two decades, even though we do not know why, implies that it plays absolutely no role as a greenhouse gas.  (From Sea Friends (here):

More information at The Methane Misconceptions by Dr. Wilson Flood (UK) here.

Climatists Aim Forks at Our Food Supply

How Damaging Are Math Models? Three Strikes Against Them

Tomas Fürst explains the dangers in believing models are reality in his Brownstone article Mathematical Models Are Weapons of Mass Destruction.  Excerpts in italics with my bolds and added images.

Great Wealth Destroyed in Mortgage Crisis by Trusting a Financial Model

In 2007, the total value of an exotic form of financial insurance called Credit Default Swap (CDS) reached $67 trillion. This number exceeded the global GDP in that year by about fifteen percent. In other words – someone in the financial markets made a bet greater than the value of everything produced in the world that year.

What were the guys on Wall Street betting on? If certain boxes of financial pyrotechnics called Collateralized Debt Obligations (CDOs) are going to explode. Betting an amount larger than the world requires a significant degree of certainty on the part of the insurance provider.

What was this certainty supported by?

A magic formula called the Gaussian Copula Model. The CDO boxes contained the mortgages of millions of Americans, and the funny-named model estimated the joint probability that holders of any two randomly selected mortgages would both default on the mortgage.

The key ingredient in this magic formula was the gamma coefficient, which used historical data to estimate the correlation between mortgage default rates in different parts of the United States. This correlation was quite small for most of the 20th century because there was little reason why mortgages in Florida should be somehow connected to mortgages in California or Washington.

But in the summer of 2006, real estate prices across the United States began to fall, and millions of people found themselves owing more for their homes than they were currently worth. In this situation, many Americans rationally decided to default on their mortgage. So, the number of delinquent mortgages increased dramatically, all at once, across the country.

The gamma coefficient in the magic formula jumped from negligible values ​​towards one and the boxes of CDOs exploded all at once. The financiers – who bet the entire planet’s GDP on this not happening – all lost.

This entire bet, in which a few speculators lost the entire planet, was based on a mathematical model that its users mistook for reality. The financial losses they caused were unpayable, so the only option was for the state to pay for them. Of course, the states didn’t exactly have an extra global GDP either, so they did what they usually do – they added these unpayable debts to the long list of unpayable debts they had made before. A single formula, which has barely 40 characters in the ASCII code, dramatically increased the total debt of the “developed” world by tens of percent of GDP. It has probably been the most expensive formula in the history of mankind.

Covid Panic and Social Devastation from Following an Epidemic Model

After this fiasco, one would assume people would start paying more attention to the predictions of various mathematical models. In fact, the opposite happened. In the fall of 2019, a virus began to spread from Wuhan, China, which was named SARS-CoV-2 after its older siblings. His older siblings were pretty nasty, so at the beginning of 2020, the whole world went into a panic mode.

If the infection fatality rate of the new virus was comparable to its older siblings, civilization might really collapse. And exactly at this moment, many dubious academic characters emerged around the world with their pet mathematical models and began spewing wild predictions into the public space.

Journalists went through the predictions, unerringly picked out only the most apocalyptic ones, and began to recite them in a dramatic voice to bewildered politicians. In the subsequent “fight against the virus,” any critical discussion about the nature of mathematical models, their assumptions, validation, the risk of overfitting, and especially the quantification of uncertainty was completely lost.

Most of the mathematical models that emerged from academia were more or less complex versions of a naive game called SIR. These three letters stand for Susceptible–Infected–Recovered and come from the beginning of the 20th century, when, thanks to the absence of computers, only the simplest differential equations could be solved. SIR models treat people as colored balls that float in a well-mixed container and bump into each other.

When red (infected) and green (susceptible) balls collide, two reds are produced. Each red (infected) turns black (recovered) after some time and stops noticing the others. And that’s all. The model does not even capture space in any way – there are neither cities nor villages. This completely naive model always produces (at most) one wave of contagion, which subsides over time and disappears forever.

And exactly at this moment, the captains of the coronavirus response made the same mistake as the bankers fifteen years ago: They mistook the model for reality. The “experts” were looking at the model that showed a single wave of infections, but in reality, one wave followed another. Instead of drawing the correct conclusion from this discrepancy between model and reality—that these models are useless—they began to fantasize that reality deviates from the models because of the “effects of the interventions” by which they were “managing” the epidemic. There was talk of “premature relaxation” of the measures and other mostly theological concepts. Understandably, there were many opportunists in academia who rushed forward with fabricated articles about the effect of interventions.

Meanwhile, the virus did its thing, ignoring the mathematical models. Few people noticed, but during the entire epidemic, not a single mathematical model succeeded in predicting (at least approximately) the peak of the current wave or the onset of the next wave.

Unlike Gaussian Copula Models, which – besides having a funny name – worked at least when real estate prices were rising, SIR models had no connection to reality from the very beginning. Later, some of their authors started to retrofit the models to match historical data, thus completely confusing the non-mathematical public, which typically does not distinguish between an ex-post fitted model (where real historical data are nicely matched by adjusting the model parameters) and a true ex-ante prediction for the future. As Yogi Berra would have it: It’s tough to make predictions, especially about the future.

While during the financial crisis, misuse of mathematical models brought mostly economic damage, during the epidemic it was no longer just about money. Based on nonsensical models, all kinds of “measures” were taken that damaged many people’s mental or physical health.

Nevertheless, this global loss of judgment had one positive effect: The awareness of the potential harm of mathematical modelling spread from a few academic offices to wide public circles. While a few years ago the concept of a “mathematical model” was shrouded in religious reverence, after three years of the epidemic, public trust in the ability of “experts” to predict anything went to zero.

Moreover, it wasn’t just the models that failed – a large part of the academic and scientific community also failed. Instead of promoting a cautious and sceptical evidence-based approach, they became cheerleaders for many stupidities the policymakers came forward with. The loss of public trust in the contemporary Science, medicine, and its representatives will probably be the most significant consequence of the epidemic.

Demolishing Modern Civilization Because of Climate Model Predictions

Which brings us to other mathematical models, the consequences of which can be much more destructive than everything we have described so far. These are, of course, climate models. The discussion of “global climate change” can be divided into three parts.

1. The real evolution of temperature on our planet. For the last few decades, we have had reasonably accurate and stable direct measurements from many places on the planet. The further we go into the past, the more we have to rely on various temperature reconstruction methods, and the uncertainty grows. Doubts may also arise as to what temperature is actually the subject of the discussion: Temperature is constantly changing in space and time, and it is very important how the individual measurements are combined into some “global” value. Given that a “global temperature” – however defined – is a manifestation of a complex dynamic system that is far from thermodynamic equilibrium, it is quite impossible for it to be constant. So, there are only two possibilities: At every moment since the formation of planet Earth, “global temperature” was either rising or falling. It is generally agreed that there has been an overall warming during the 20th century, although the geographical differences are significantly greater than is normally acknowledged. A more detailed discussion of this point is not the subject of this essay, as it is not directly related to mathematical models.

2. The hypothesis that increase in CO2 concentration drives increase in global temperature. This is a legitimate scientific hypothesis; however, evidence for the hypothesis involves more mathematical modelling than you might think. Therefore, we will address this point in more detail below.

3. The rationality of the various “measures” that politicians and activists propose to prevent global climate change or at least mitigate its effects. Again, this point is not the focus of this essay, but it is important to note that many of the proposed (and sometimes already implemented) climate change “measures” will have orders of magnitude more dramatic consequences than anything we did during the Covid epidemic. So, with this in mind, let’s see how much mathematical modelling we need to support hypothesis 2.

Yes, they are projecting spending more than 100 Trillion US$.

At first glance, there is no need for models because the mechanism by which CO2 heats the planet has been well understood since Joseph Fourier, who first described it. In elementary school textbooks, we draw a picture of a greenhouse with the sun smiling down on it. Short-wave radiation from the sun passes through the glass, heating the interior of the greenhouse, but long-wave radiation (emitted by the heated interior of the greenhouse) cannot escape through the glass, thus keeping the greenhouse warm. Carbon dioxide, dear children, plays a similar role in our atmosphere as the glass in the greenhouse.

This “explanation,” after which the entire greenhouse effect is named, and which we call the “greenhouse effect for kindergarten,” suffers from a small problem: It is completely wrong. The greenhouse keeps warm for a completely different reason. The glass shell prevents convection – warm air cannot rise and carry the heat away. This fact was experimentally verified already at the beginning of the 20th century by building an identical greenhouse but from a material that is transparent to infrared radiation. The difference in temperatures inside the two greenhouses was negligible.

OK, greenhouses are not warm due to greenhouse effect (to appease various fact-checkers, this fact can be found on Wikipedia). But that doesn’t mean that carbon dioxide doesn’t absorb infrared radiation and doesn’t behave in the atmosphere the way we imagined glass in a greenhouse behaved. Carbon dioxide actually does absorb radiation in several wavelength bands. Water vapor, methane, and other gases also have this property. The greenhouse effect (erroneously named after the greenhouse) is a safely proven experimental fact, and without greenhouse gases, the Earth would be considerably colder.

It follows logically that when the concentration of CO2 in the atmosphere increases, the CO2 molecules will capture even more infrared photons, which will therefore not be able to escape into space, and the temperature of the planet will rise further. Most people are satisfied with this explanation and continue to consider the hypothesis from point 2 above as proven. We call this version of the story the “greenhouse effect for philosophical faculties.”

The important point here is the red line. This is what Earth would radiate to space if you were to double the CO2 concentration from today’s value. Right in the middle of these curves, you can see a gap in spectrum. The gap is caused by CO2 absorbing radiation that would otherwise cool the Earth. If you double the amount of CO2, you don’t double the size of that gap. You just go from the black curve to the red curve, and you can barely see the difference.

The problem is, of course, that there is so much carbon dioxide (and other greenhouse gases) in the atmosphere already that no photon with the appropriate frequency has a chance to escape from the atmosphere without being absorbed and re-emitted many times by some greenhouse gas molecule.

A certain increase in the absorption of infrared radiation induced by higher concentration of CO2 can thus only occur at the edges of the respective absorption bands. With this knowledge – which, of course, is not very widespread among politicians and journalists – it is no longer obvious why an increase in the concentration of CO2 should lead to a rise in temperature.

In reality, however, the situation is even more complicated, and it is therefore necessary to come up with another version of the explanation, which we call the “greenhouse effect for science faculties.” This version for adults reads as follows: The process of absorption and re-emission of photons takes place in all layers of the atmosphere, and the atoms of greenhouse gases “pass” photons from one to another until finally one of the photons emitted somewhere in the upper layer of the atmosphere flies off into space. The concentration of greenhouse gases naturally decreases with increasing altitude. So, when we add a little CO2, the altitude from which photons can already escape into space shifts a little higher. And since the higher we go, the colder it is, the photons there emitted carry away less energy, resulting in more energy remaining in the atmosphere, making the planet warmer.

Note that the original version with the smiling sun above the greenhouse got somewhat more complicated. Some people start scratching their heads at this point and wondering if the above explanation is really that clear. When the concentration of CO2 increases, perhaps “cooler” photons escape to space (because the place of their emission moves higher), but won’t more of them escape (because the radius increases)? Shouldn’t there be more warming in the upper atmosphere? Isn’t the temperature inversion important in this explanation? We know that temperature starts to rise again from about 12 kilometers up. Is it really possible to neglect all convection and precipitation in this explanation? We know that these processes transfer enormous amounts of heat. What about positive and negative feedbacks? And so on and so on.

The more you ask, the more you find that the answers are not directly observable but rely on mathematical models. The models contain a number of experimentally (that is, with some error) measured parameters; for example, the spectrum of light absorption in CO2 (and all other greenhouse gases), its dependence on concentration, or a detailed temperature profile of the atmosphere.

This leads us to a radical statement: The hypothesis that an increase in the concentration of carbon dioxide in the atmosphere drives an increase in global temperature is not supported by any easily and comprehensibly explainable physical reasoning that would be clear to a person with an ordinary university education in a technical or natural science field. This hypothesis is ultimately supported by mathematical modelling that more or less accurately captures some of the many complicated processes in the atmosphere.

Flows and Feedbacks for Climate Models

However, this casts a completely different light on the whole problem. In the context of the dramatic failures of mathematical modelling in the recent past, the “greenhouse effect” deserves much more attention. We heard the claim that “science is settled” many times during the Covid crisis and many predictions that later turned out to be completely absurd were based on “scientific consensus.”

Almost every important scientific discovery began as a lone voice going against the scientific consensus of that time. Consensus in science does not mean much – science is built on careful falsification of hypotheses using properly conducted experiments and properly evaluated data. The number of past instances of scientific consensus is basically equal to the number of past scientific errors.

Mathematical modelling is a good servant but a bad master. The hypothesis of global climate change caused by the increasing concentration of CO2 in the atmosphere is certainly interesting and plausible. However, it is definitely not an experimental fact, and it is most inappropriate to censor an open and honest professional debate on this topic. If it turns out that mathematical models were – once again – wrong, it may be too late to undo the damage caused in the name of “combating” climate change.

Beware getting sucked into any model, climate or otherwise.

Addendum on Chameleon Models

Chameleon Climate Models

Footnote:  Classic Cartoon on Models

 

UAH August 2024: Most Regions Cooler, Offset by SH Land Spike

The post below updates the UAH record of air temperatures over land and ocean. Each month and year exposes again the growing disconnect between the real world and the Zero Carbon zealots.  It is as though the anti-hydrocarbon band wagon hopes to drown out the data contradicting their justification for the Great Energy Transition.  Yes, there has been warming from an El Nino buildup coincidental with North Atlantic warming, but no basis to blame it on CO2.  

As an overview consider how recent rapid cooling  completely overcame the warming from the last 3 El Ninos (1998, 2010 and 2016).  The UAH record shows that the effects of the last one were gone as of April 2021, again in November 2021, and in February and June 2022  At year end 2022 and continuing into 2023 global temp anomaly matched or went lower than average since 1995, an ENSO neutral year. (UAH baseline is now 1991-2020). Now we have an usual El Nino warming spike of uncertain cause, unrelated to steadily rising CO2 and now moderating.

For reference I added an overlay of CO2 annual concentrations as measured at Mauna Loa.  While temperatures fluctuated up and down ending flat, CO2 went up steadily by ~60 ppm, a 15% increase.

Furthermore, going back to previous warmings prior to the satellite record shows that the entire rise of 0.8C since 1947 is due to oceanic, not human activity.

gmt-warming-events

The animation is an update of a previous analysis from Dr. Murry Salby.  These graphs use Hadcrut4 and include the 2016 El Nino warming event.  The exhibit shows since 1947 GMT warmed by 0.8 C, from 13.9 to 14.7, as estimated by Hadcrut4.  This resulted from three natural warming events involving ocean cycles. The most recent rise 2013-16 lifted temperatures by 0.2C.  Previously the 1997-98 El Nino produced a plateau increase of 0.4C.  Before that, a rise from 1977-81 added 0.2C to start the warming since 1947.

Importantly, the theory of human-caused global warming asserts that increasing CO2 in the atmosphere changes the baseline and causes systemic warming in our climate.  On the contrary, all of the warming since 1947 was episodic, coming from three brief events associated with oceanic cycles. And now in 2024 we have seen an amazing episode with a temperature spike driven by ocean air warming in all regions, along with rising NH land temperatures, now receding from its peak.

Chris Schoeneveld has produced a similar graph to the animation above, with a temperature series combining HadCRUT4 and UAH6. H/T WUWT

image-8

 

mc_wh_gas_web20210423124932

See Also Worst Threat: Greenhouse Gas or Quiet Sun?

August 2024 Most Regions Cooler Offset by SH Land Spike
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With apologies to Paul Revere, this post is on the lookout for cooler weather with an eye on both the Land and the Sea.  While you heard a lot about 2020-21 temperatures matching 2016 as the highest ever, that spin ignores how fast the cooling set in.  The UAH data analyzed below shows that warming from the last El Nino had fully dissipated with chilly temperatures in all regions. After a warming blip in 2022, land and ocean temps dropped again with 2023 starting below the mean since 1995.  Spring and Summer 2023 saw a series of warmings, continuing into October, followed by cooling. 

UAH has updated their tlt (temperatures in lower troposphere) dataset for August 2024. Posts on their reading of ocean air temps this month are ahead of the update from HadSST4.  I posted last month on SSTs using HadSST4 Oceans Warming Uptick July 2024. These posts have a separate graph of land air temps because the comparisons and contrasts are interesting as we contemplate possible cooling in coming months and years.

Sometimes air temps over land diverge from ocean air changes. Last February 2024, both ocean and land air temps went higher driven by SH, while NH and the Tropics cooled slightly, resulting in Global anomaly matching October 2023 peak. Then in March Ocean anomalies cooled while Land anomalies rose everywhere. After a mixed pattern in April, the May anomalies were back down led by a large drop in NH land, and a smaller ocean decline in all regions. In June all Ocean regions dropped down, as well as dips in SH and Tropical land temps. In July all Oceans were unchanged except for Tropical warming, while all land regions rose slightly. Now in August we see a warming leap in SH land, slight Land cooling elsewhere, a dip in Tropical Ocean temp and slightly elswhere. End result is a small upward bump.

Note:  UAH has shifted their baseline from 1981-2010 to 1991-2020 beginning with January 2021.  In the charts below, the trends and fluctuations remain the same but the anomaly values changed with the baseline reference shift.

Presently sea surface temperatures (SST) are the best available indicator of heat content gained or lost from earth’s climate system.  Enthalpy is the thermodynamic term for total heat content in a system, and humidity differences in air parcels affect enthalpy.  Measuring water temperature directly avoids distorted impressions from air measurements.  In addition, ocean covers 71% of the planet surface and thus dominates surface temperature estimates.  Eventually we will likely have reliable means of recording water temperatures at depth.

Recently, Dr. Ole Humlum reported from his research that air temperatures lag 2-3 months behind changes in SST.  Thus cooling oceans portend cooling land air temperatures to follow.  He also observed that changes in CO2 atmospheric concentrations lag behind SST by 11-12 months.  This latter point is addressed in a previous post Who to Blame for Rising CO2?

After a change in priorities, updates are now exclusive to HadSST4.  For comparison we can also look at lower troposphere temperatures (TLT) from UAHv6 which are now posted for August.  The temperature record is derived from microwave sounding units (MSU) on board satellites like the one pictured above. Recently there was a change in UAH processing of satellite drift corrections, including dropping one platform which can no longer be corrected. The graphs below are taken from the revised and current dataset.

The UAH dataset includes temperature results for air above the oceans, and thus should be most comparable to the SSTs. There is the additional feature that ocean air temps avoid Urban Heat Islands (UHI).  The graph below shows monthly anomalies for ocean air temps since January 2015.

 

Note 2020 was warmed mainly by a spike in February in all regions, and secondarily by an October spike in NH alone. In 2021, SH and the Tropics both pulled the Global anomaly down to a new low in April. Then SH and Tropics upward spikes, along with NH warming brought Global temps to a peak in October.  That warmth was gone as November 2021 ocean temps plummeted everywhere. After an upward bump 01/2022 temps reversed and plunged downward in June.  After an upward spike in July, ocean air everywhere cooled in August and also in September.   

After sharp cooling everywhere in January 2023, all regions were into negative territory. Note the Tropics matched the lowest value, but since have spiked sharply upward +1.7C, with the largest increases in April to July, and continuing through adding to a new high of 1.3C January to March 2024.  In April and May that started dropping in all regions.   June showed a sharp decline everywhere, led by the Tropics down 0.5C. The Global anomaly fell to nearly match the September 2023 value. In July, the Tropics rose slightly while SH, NH and the Global Anomaly were unchanged. Now in August a drop in the Tropics, with little NH cooling and Global Ocean anomaly slightly lower.

Land Air Temperatures Tracking in Seesaw Pattern

We sometimes overlook that in climate temperature records, while the oceans are measured directly with SSTs, land temps are measured only indirectly.  The land temperature records at surface stations sample air temps at 2 meters above ground.  UAH gives tlt anomalies for air over land separately from ocean air temps.  The graph updated for August is below.

 

Here we have fresh evidence of the greater volatility of the Land temperatures, along with extraordinary departures by SH land.  Land temps are dominated by NH with a 2021 spike in January,  then dropping before rising in the summer to peak in October 2021. As with the ocean air temps, all that was erased in November with a sharp cooling everywhere.  After a summer 2022 NH spike, land temps dropped everywhere, and in January, further cooling in SH and Tropics offset by an uptick in NH. 

Remarkably, in 2023, SH land air anomaly shot up 2.1C, from  -0.6C in January to +1.5 in September, then dropped sharply to 0.6 in January 2024, matching the SH peak in 2016. Then in February and March SH anomaly jumped up nearly 0.7C, and Tropics went up to a new high of 1.5C, pulling up the Global land anomaly to match 10/2023. In April SH dropped sharply back to 0.6C, Tropics cooled very slightly, but NH land jumped up to a new high of 1.5C, pulling up Global land anomaly to its new high of 1.24C.

In May that NH spike started to reverse.  Despite warming in Tropics and SH, the much larger NH land mass pulled the Global land anomaly back down to the February value. In June, sharp drops in SH and Tropics land temps overcame an upward bump in NH, pulling Global land anomaly down to match last December. In July, all land regions rose slightly, and now in August a record spike up to 1.87 and pulling the Global land anomaly up by 0.17°C. Despite this land warming, the Global land and ocean combined anomaly rose only 0.03°C.

The Bigger Picture UAH Global Since 1980

The chart shows monthly Global anomalies starting 01/1980 to present.  The average monthly anomaly is -0.04, for this period of more than four decades.  The graph shows the 1998 El Nino after which the mean resumed, and again after the smaller 2010 event. The 2016 El Nino matched 1998 peak and in addition NH after effects lasted longer, followed by the NH warming 2019-20.   An upward bump in 2021 was reversed with temps having returned close to the mean as of 2/2022.  March and April brought warmer Global temps, later reversed

With the sharp drops in Nov., Dec. and January 2023 temps, there was no increase over 1980. Then in 2023 the buildup to the October/November peak exceeded the sharp April peak of the El Nino 1998 event. It also surpassed the February peak in 2016. After March and April took the Global anomaly to a new peak of 1.05C.  The cool down started with May dropping to 0.90C, and in June a further decline to 0.80C.  Despite an uptick to 0.85 in July,   it remains to be seen whether El Nino will weaken or gain strength, and it whether we are past the recent peak.

The graph reminds of another chart showing the abrupt ejection of humid air from Hunga Tonga eruption.

TLTs include mixing above the oceans and probably some influence from nearby more volatile land temps.  Clearly NH and Global land temps have been dropping in a seesaw pattern, nearly 1C lower than the 2016 peak.  Since the ocean has 1000 times the heat capacity as the atmosphere, that cooling is a significant driving force.  TLT measures started the recent cooling later than SSTs from HadSST4, but are now showing the same pattern. Despite the three El Ninos, their warming has not persisted prior to 2023, and without them it would probably have cooled since 1995.  Of course, the future has not yet been written.

 

Antidote for Radiation Myopia

On a previous post a reader queried me about my position.  Taking him to be serious, I prepared a reply with resources that can serve anyone wanting to understand radiative GHG theory and reality.  The key is to escape radiation myopia, that is focusing on radiative energy transfers in earth’s climate system to the exclusion of the other transfers.  Energy in our world moves by conduction, convection and phase changes of H2O in addition to radiation.  And not surprisingly at any place and time, the most active mode is the one with the least resistance.

The post triggering the question was this one:

The Original Sin of GHG Theory

My Reply to Questioner

Thanks for your response. Your inital question sounded trollish, but I take your comment seriously.

Firstly, you said “I’ve never seen anyone outside of the anti-GHG crowd ever talk about “back-radiation”. Actually references to that notion are readily found since it is the primary way global warming/ climate change is explained to the public. Some examples:

“However, GHGs, unlike other atmospheric gases such as oxygen and nitrogen, are opaque to outgoing infrared radiation. As the concentration of GHGs in the atmosphere increases due to human-caused emissions, energy radiated from the surface becomes trapped in the atmosphere, unable to escape the planet. This energy returns to the surface, where it is reabsorbed.” UNEP

“Greenhouses gases are atmospheric gases such as carbon dioxide (CO2), methane (CH4), and water vapor (H2O) that absorb and re-radiate heat, which warms the lower atmosphere and Earth’s surface. This process of absorption and re-radiation of heat is called the greenhouse effect. Although greenhouse gases only make up a small percentage of the atmosphere, small changes in the amount of greenhouse gases can greatly alter the strength of the greenhouse effect, which in turn, affects the Earth’s average temperature and climate. UCBerkeley

“As CO2 soaks up this infrared energy, it vibrates and re-emits the infrared energy back in all directions. About half of that energy goes out into space, and about half of it returns to Earth as heat, contributing to the ‘greenhouse effect.’ ColumbiaU

The favored term now is “re-radiation” and it is central in the narrative everywhere, including among others, NASA, MIT and of course multiple UN agencies. So it is necessary to debunk the notion.

I know as well as you that back- or re-radiation is a caricature, and climate scientists make a different claim, namely raising the ERL which slows the cooling. That theory is also wrong for different empirical reasons. See:

Refresher: GHG Theory and the Tests It Fails

Secondly, the root issue is the abuse of Stefan-Boltzman law to create a fictious downward energy transfer, such as seen in energy balance cartoons, misleading and not funny. The equation calculates the transfer from the difference in temperature between two bodies in thermal contact, it does not attribute thermal radiation to each of them. Full explanation here:

Experimental Proof Nil Warming from GHGs

And regarding the failed energy balance diagrams:

Fatal Flaw in Earth Energy Balance Diagrams

For extra credit and insight, look at a Sabine Hosenfelder video to understand how current GHG theory goes astray. Link includes excerpts and critique.

Sabine’s Video Myopic on GHG Climate Role

Summary

“The Earth, a rocky sphere at a distance from the Sun of ~149.6 million kilometers, where the Solar irradiance comes in at 1361.7 W/m2, with a mean global albedo, mostly from clouds, of 0.3 and with an atmosphere surrounding it containing a gaseous mass held in place by the planet’s gravity, producing a surface pressure of ~1013 mb, with an ocean of H2O covering 71% of its surface and with a rotation time around its own axis of ~24h, boasts an average global surface temperature of +15°C (288K).

Why this specific temperature? Because, with an atmosphere weighing down upon us with the particular pressure that ours exerts, this is the temperature level the surface has to reach and stay at for the global convectional engine to be able to pull enough heat away fast enough from it to be able to balance the particular averaged out energy input from the Sun that we experience.

It’s that simple.”  E. M. Smith

 

See Also

New Wholistic Paradigm of Climate Change

 

Being Properly Skeptical of Expert Consensus

Solvay conference 1927, probably the most intelligence ever photographed. 17 of the 29 attendees were or became Nobel Prize winners.

Miriam Solomon writes at  iai news Scientific consensus needs dissent.  Excerpts in italics with my bolds and added images

We place high epistemic value on expert opinion and when it reaches a consensus, we may view this as settled science. But, writes Miriam Solomon, we should not equate expert opinion with certainty. While expertise is a valuable guide to decision-making, experts can be prone to human error too. Laypeople can, and should, critically evaluate how expert consensus is reached.

We live in an immense, complex world, and frequently benefit from guidance from those with more information and experience—people we regard as experts—to make sense of it. Along these lines, we often use expert consensus as an indicator of what is known, and expert disagreement as an indicator of what is uncertain. So, for example, earth scientist and historian Naomi Oreskes appeals to the record of peer-reviewed scientific publications on climate change to argue that the public should listen to the expert consensus that there is anthropogenic climate change. Oreskes identified that those who publicly disagree with this consensus have not contributed to the peer-reviewed scientific literature on climate science, and in this way they are not experts with regard to the relevant subject matter, although they may have PhDs and even university positions in unrelated sciences. [Note that position ignores many expert climatologists who disagree, but who are dismissed as “deniers” because they dissent.]

Survey starting the narrative “97% consensus of experts agree humans are causing global warming.”

Oreskes dissuades us from taking such non-expert disagreement seriously, especially since she also finds that it is politically motivated. The appeal to expertise encourages us to trust those who know more than we do about a particular matter and invites us to pay attention to reliable markers of expertise, such as publication in relevant peer-refereed journals. In traditional epistemological terms, it recommends deference to epistemic authority (or authorities).

However, even experts are fallible. Expert consensus
should not be equated with certainty or truth.

But experts are more likely to be correct than non-experts, and the agreement of experts with one another can provide additional evidence for the robustness of their conclusions.  Oreskes’ approach implicitly relies on the trustability of the relevant experts, not only on their expertise. We need to know not only that experts are knowledgeable but that they are acting in the best interests of furthering knowledge. The integrity of science—its commitment to norms such as openness of inquiry, responsiveness to criticism, disinterestedness, etc. (see Merton (1942) and Longino (1990))—is vital for its trustability.

Sometimes, this trust can be eroded. Philosopher of medicine Maya Goldenberg has explored what is needed for laypersons to build justified trust in vaccine research, mentioning concerns about Big Pharma producing biased research and concerns about the historical record of medical, scientific, and governmental communities’ willingness to use untested medical technologies on marginalized groups.

When experts disagree—a common occurrence in science—deference to expertise yields conflicting results. Laypersons are apt to respond to such disagreements, such as which sorts of diets are best for long-term health, or which vaccines should be mandated and for whom, with statements such as “even the experts don’t know.”

Knowing this, experts are aware of the need for a public
face of consensus on matters they wish to influence
.

They have become savvy about disseminating any publicly relevant consensus that is achieved. This thinking is behind established institutions such as the United States’ NIH Consensus Development Conference Program (1977-2013), which issued regular reports on new clinical interventions, and the Intergovernmental Panel on Climate Change (1988-present), which issues regular updates on climate science.

Forcing a consensus when the science is not there rarely works.

Deferring to the consensus of trustable experts is one of the best kinds of argument based on epistemic authority. It is certainly better than the Scholastic practice of referring to the writings of just one “great man,” such as Aristotle or Aquinas. Several experts coming to the same conclusion about a matter is usually more convincing than one expert coming to that conclusion. However, as many have pointed out, the strength of the argument depends on:

(1) the degree of independence of these experts from each other, and
(2) the individual and collective interests of these experts.

Scientists, like the rest of us, come to their knowledge in social context and, generally speaking, scientists are neither independent of each other nor completely interest-free. They are often trained similarly—by the same schools, people, and educational materials—and feel pressured towards group conformity as well as towards deference to uber-experts. Scientists have individual biases, such as confirmation bias, that can be magnified when one scientist influences another. There are many well-known cases in the history of science and medicine in which expert consensus has turned out to be incorrect and harmful. Some examples in medicine are the traditional practice of blood-letting as a general cure-all, the use of surgery and antacids for stomach ulcers, and the practice of radical mastectomy for early stage breast cancer.

Thus, while deferring to the consensus of experts is often a good practice, it is defeasible: there are circumstances in which that deference is not ultimately justified. It is worth spelling out what those circumstances are. Here are some questions to ask of any purported expert consensus.

♦  Who agrees? Is there any dissent—if so, is it between particular groups of experts (say, family medicine practitioners disagreeing with radiologists about the effectiveness of screening mammography) or between experts and non-experts?

♦  What do the dissenters say? It is necessary to get at least a little “into the weeds” of dissent to decide whether or not dissenters are worth taking seriously.

♦  How long has there been agreement? If agreement is new, what brought it about? In particular, how much of a role did new evidence play?

♦  If agreement is longstanding, would counterevidence be sought, noticed and responded to?

 

These kinds of questions are a check on the processes that led to consensus. There will always be some social processes such as peer pressure and graduate school training that are unrelated to relevant evidence yet play a role in expert belief formation. This does not mean that we should distrust all consensus that has any sources in “bias.” That is too idealistic. Instead, we should look at the complete picture of what played a role in consensus formation and try to assess whether new evidence had a deciding role.

It is also worth reflecting that consensus is not the general end goal of science. Scientific communities tolerate—even benefit from—lack of consensus. Already in the nineteenth century, the philosopher John Stuart Mill put things especially well in On Liberty (1859) when he argued that consensus is an obstacle to progress, rationality and truth because it eliminates points of view that may turn out to be partially or wholly correct, or at least useful for criticism and consequent refinement of the correct view.

Dissent is strategically valuable when it leads to the distribution of cognitive labour over a variety of perspectives, hypotheses, and methods. While individual experts are often over-confident about their own views, this does little harm when it does not get in the way of other experts exploring alternatives. It is best to have the scientific community pursue all promising lines of inquiry.

Achieving consensus on a scientific matter becomes important only when there is a need for cooperative communal action and there needs to be agreement on steps to take to achieve a policy goal, such as health or sustainability. Even in such cases, there need not be agreement on all issues. The publications of the Intergovernmental Panel on Climate Change are quite clear that there is plenty of disagreement between scientists on some of the details of climate science. What is emphasized is that there is sufficient consensus on basic matters to guide important policy decisions. 

Expert consensus is an important, but not infallible, guide for laypeople and decision-makers. The strength of a consensus depends on the independence of the experts involved and the processes that shaped their agreement. While deference to experts is often justified, it should be accompanied by critical scrutiny, particularly when consensus is used to guide public policy. Dissent within the scientific community remains essential, not only for advancing knowledge but also for ensuring that consensus, when achieved, is robust and reliable.

 

Climate Meltdown

This video compiles interviews conducted by investigative journalist Alex Newman, with astrophysicists, atmospheric physicists, geophysicists, climate scientists, meteorologists, and other leading experts from around the world.   Together they share a simple message: the “climate change” movement is not about “saving the environment.” It is about control.

Below is a lightly edited transcript in italics with my bolds and added images.  AN refers to Alex Newman talking, Other initials refer to interviewees.

Climate Meltdown

The climate narrative is the pretext for reorganizing all of human society based on principles of manufactured scarcity and international tyrannical control. Governments, big corporations and even religious leaders are all marching In lockstep. And yet it’s all based on lies as the scientists you’re about to meet will demonstrate.

As the US moves away from fossil fuels and embraces green energy, enemy countries like China have nearly 1,000 more operational coal powerered plants worldwide as of July 2023. In the graph you can see the CCP is marching forward with coal and fossil fuels as the US moves towards green energy making us weak, vulnerable and pathetic when it comes to energy.

Manufacturing is man-made global warming, a threat to humanity according to left-wing Progressive politicians, influencers and businesses. But their solution to climate change is always the expansion of the size and scope of government at the loss of individual and personal sovereignty, and the taking of the American taxpayer dollars to spend endless amounts on fruitless idiotic climate plans and agendas that lower efficiency and raise the cost of energy.

For example Kamala Harris endlessly talks about why climate change is one of the biggest threats to humanity.

“Well let me start by saying this climate change is the single greatest threat facing our world today. That’s why I am committed to passing a Green New Deal creating clean jobs and finally putting an end to fracking once and for all.”

“I’ve heard young leaders talk with me about a a term they’ve coined called climate anxiety. Which is fear of the future and the unknown. And whether it makes sense for you to even think about having children; whether it makes sense for you aspiring to buy a home. Because what will this climate be. But because people voted we have been able to put in place over a trillion dollars in investment in our country around things like climate resilience and adaptation, around focusing on issues like Environmental justice.”

But there’s another side to the story that is not often told. There are many scientists and experts that you will hear from in this video who claim that climatism or climate alarmism is nothing but a facade to increase the size and scope of government and to take away individual and personal sovereignty. And going from National sovereignty to giving power to entities like the United Nations, while taking billions of dollars from the American taxpayer. Investigative journalist Alex Newman has interviewed Senators, scientists and many more people on this very subject. In the following few interviews you’re about to see you’re going to hear the other side of the story, which Academia, Media and Hollywood have silenced, cancelled and destroyed. Please watch and share, and get this information out to your friends, neighbor, Pastor, co-workers and more.

Alex first caught up with Patrick Moore who’s one of the early founders of Greenpeace. That’s a non-governmental environmental organization (NGO) founded in Canada in the 1970s. Moore says in a shocking interview that the green new deal policies is a recipe for mass suicide. Check it out.

AN: There’s a lot of talk now in the United States about this green new deal. I don’t know if you’ve had an opportunity to look at that, butwhat are your thoughts. Is this a good idea or are we in trouble or what’s the plan?

PML Well it’s a recipe for mass suicide. It’s just quite amazing that someone that is in government, actually elected to the government of the United States of America would propose that we eliminate all fossil fuels in 12 years. If we did that on a global level it would result in the decimation of the human population from some 7 billion down to who knows how few people. It would basically begin a process of cannibalization amongst the human species because the food could not be delivered to the stores in the middle of the cities anymore. How would this even work is just one point.

What bothers me the most is this: If you eliminated fossil fuels, every tree in the world would be cut for fuel. There’s no other source of heating and cooking once you eliminate fossil fuels. You can use animal dung if there were any animals left. But the animals would all die too, because first off they would all get eaten. Any that survived would be have to go wild because there’d be nobody left to look after them.

I mean it’s the most ridiculous scenario I’ve ever heard. People recognize when something is preposterous and I think that’s the best word for it. Well the best term for it is actually Mass Suicide. But why would anyone vote for something that was going to result in the death of nearly all humans on Earth.

AN: We’re here at the Heartland institute’s climate conference in Orlando. I’m with Dr William Happer who is a professor of physics emeritus at Princeton University. For a time he served as adviser on climate issues to Donald Trump. Dr. Happer thank you so much for joining us today. Now one of the things you’re going to be addressing at this event is carbon taxes. Let’s start with your thoughts on that: Does the world need carbon taxes?

WH: No, of course the world doesn’t need a carbon tax. They’re talking about a CO2 tax and CO2 is actually good for the world. So people ought to be encouraged to make more of it.

AN: So why why do you think they’re pushing this idea of a CO2 tax if CO2 is good for the world?

WH: Well it’s a combination of people who’ve been badly misinformed; people who need to feel virtuous. They don’t believe in anything anymore so now they’ve got something to believe in, to save the planet. And then there’s the opportunists who are making a good living out of frightening everybody and sucking money out of the common man to push idiotic Energy Solutions on them. That makes everyone poorer and provides less reliable energy, less affordable energy. So there’s nothing good about it. It’s more of the same evil fanaticism that’s plagued mankind since we began.

AN: This conversation is with Dr. Richard Lindzen who is an American atmospheric physicist who is well known for his great work at Harvard and also at MIT. He talks about how scientists and the science institutionally has become hungry for power and politics, and how true science and true discovery has been trampled underfoot. How do you get more scientists to speak out because as you know the scientists who are saying that this is wrong are in a very small minority. How do you get other members of the scientific Community to come out and say something if if they know, or if they don’t know how do you get them to understand?

RL: Well I don’t know the answer answer to that. Because starting in the early ’90s, a young scientist could neither get promoted, published or funded if he said or did that. So if you wanted to get active scientists to go along it’s asking them to commit professional suicide. On the positive side there are a lot of modeling efforts that are showing it’s not a problem. But whether they can say that out loud is another story.

AN: Right before started this interview you were talking to Lord Monckton, who we just interviewed a moment ago. And you mentioned something I thought was hilarious. You said that science is the only thing that you could add a “the” in front of it, and it becomes the opposite. What did you mean by that?

RL: Well “the science” contradicts the whole notion of science, which is a mode of inquiry. “The science” is a mode of authority. Those are two very different things.

AN: So how did science go so awry? Any thoughts on this process: How did we get to where we are now in terms of the scientific Community?

RL: I think the vast majority of the public has no idea what science is and that certainly includes the political class. So as politicians, they know that people don’t give them a lot of authority. They see that people quote and trust sciencists, and so they think science is a source of authority that they would like to co-opt. But in doing so they show they have no idea what science is.

AN: We are standing here by the Baltic Sea in Stockholm with Dr. Nils-Axel Mörner who is the retired head of the Paleo geophysics department and geodynamics department at Stockholm University. Also he was a sea level reviewer for the UNIPCC United Nations intergovernmental panel on climate change back in 2000. Dr. Mörner thank you so much for being with us. Please tell us about this whole sea level issue. I just came from the COP 24 in Poland where over and over again we heard that our cities are going to be flooded. I’m from Miami and they say my city’s going to be flooded. Are we all doomed from sea levels changing?

NAM: Absolutely not. I mean there is no big rapid sea level rise going on today and there will not be. On the contrary if anything happens it’s sea will go down a little bit. But also there is nothing which is called Global sea level. it is different in different parts of the of the world.

In this interview Alex talks with Dr willly Soon who spent time as a researcher at the solar and Stellar physics division of the Harvard Smithsonian Center for astrophysics and is arguably maybe the best astrophysicist on the planet. Soon in this interview talks about the intergovernmental panel on climate change which is an outfit of the United Nations and how IPCC data on climate science is built.

AN: So you guys just published three papers in well established peer-reviewed journals. Before we get into the reaction of the papers, give us an overview what did you guys find and how does that differ from say the narrative that the media and the United Nations are promoting.

WS: We are Scientists so we we set out to seek the truth and nothing but the truth. So it’s been puzzling to everyone, I would say every scientist on this topic wonders what are the best thermometer data to use if you want to study temperature change. And then if you want to study what is causing the climate to change, you want to know what are the best solar activity estimates.

So it turns out that IPCC has been wrong and biased for 30 years, that’s the kindest word I can use. And they’ve been in some sense hoodwinking everyone.

AN: There was a poll released several months ago by AP-NORC Center for public affairs research. They found that less than half of Americans even believe that human activity is causing climate change. About a third are willing to pay even a single additional Dollar on their electric bill each month to deal with climate change With the very real Prospect of Trump coming back to the White House in 2024, how is the US government planning to make credible commitments on funding and on these other issues that you guys are talking about.

Senator Coons who chairs that committee: That was part of why I spoke to both the structure of the Inflation Reduction Act which has directed tens of billions of dollars already to construction projects in predominantly red States or politically conservative States. And to the way that we’ve been able to get out of my subcommittee and pass through the full committee an additional billion and a half dollars in investment in combating climate change predominantly in the global South with an overwhelming bipartisan margin.

So am I suggesting that were the former president to be our next president everything would be fine?
Not at all. But I’m saying there is a broad enough and deep enough support for continuing Investments to combat climate change and for the inflation reduction act, and bipartisan infrastructure law in particular, that we will continue we’ll continue to move forward regardless.

AN: A lot of this environmental question I think depends on a very flawed fundamental presupposition. It depends on the idea that carbon dioxide is pollution. And after interviewing hundreds of scientists including many who’ve worked for the UNIPCC, many of the leading scientists in the world, I would argue that the notion that CO2 is pollution is absolutely Preposterous. We exhale about two pounds of it every single day. The the proportion of greenhouse gases made up of human CO2 emissions is a fraction of a fraction of 1%. The idea that those are going to destroy the planet or change the temperature of the earth is frankly in my opinion totally ludicrous. But from a totalitarian perspective if you can convince people that CO2 is pollution, there’s no human activity that doesn’t result in CO2 emissions. That includes living, includes dying, turning on a light switch.

If we submit to the idea that CO2 is pollution, then every single aspect of your life comes under the regulatory control of the people who claim to be saving us from pollution. When they do these Environmental Studies they say your CO2 footprint will be smaller if you eat bugs or you do this or that, or you drive an electric car. That doesn’t show anything about whether that’s going to benefit the environment or not.

In fact CO2 has actually been very beneficial for the environment. In interviewing Trump’s climate adviser Dr William Happer, physics professor at Princeton University, he said the Earth is starving for more CO2. And since we’ve had a little bit of an increase in atmospheric CO2 over the last 100 years or so plants have gotten much Greener, agricultural yields have improved.

II think we need to also talk about the fundamental presupposition here: Is CO2 really pollution? if it’s not then all these alleged environmental benefits are completely fictional.

 

 

UAH July 2024: Little Warming from “Hot” July

The post below updates the UAH record of air temperatures over land and ocean. Each month and year exposes again the growing disconnect between the real world and the Zero Carbon zealots.  It is as though the anti-hydrocarbon band wagon hopes to drown out the data contradicting their justification for the Great Energy Transition.  Yes, there has been warming from an El Nino buildup coincidental with North Atlantic warming, but no basis to blame it on CO2.  

As an overview consider how recent rapid cooling  completely overcame the warming from the last 3 El Ninos (1998, 2010 and 2016).  The UAH record shows that the effects of the last one were gone as of April 2021, again in November 2021, and in February and June 2022  At year end 2022 and continuing into 2023 global temp anomaly matched or went lower than average since 1995, an ENSO neutral year. (UAH baseline is now 1991-2020). Now we have an usual El Nino warming spike of uncertain cause, but unrelated to steadily rising CO2.

For reference I added an overlay of CO2 annual concentrations as measured at Mauna Loa.  While temperatures fluctuated up and down ending flat, CO2 went up steadily by ~60 ppm, a 15% increase.

Furthermore, going back to previous warmings prior to the satellite record shows that the entire rise of 0.8C since 1947 is due to oceanic, not human activity.

gmt-warming-events

The animation is an update of a previous analysis from Dr. Murry Salby.  These graphs use Hadcrut4 and include the 2016 El Nino warming event.  The exhibit shows since 1947 GMT warmed by 0.8 C, from 13.9 to 14.7, as estimated by Hadcrut4.  This resulted from three natural warming events involving ocean cycles. The most recent rise 2013-16 lifted temperatures by 0.2C.  Previously the 1997-98 El Nino produced a plateau increase of 0.4C.  Before that, a rise from 1977-81 added 0.2C to start the warming since 1947.

Importantly, the theory of human-caused global warming asserts that increasing CO2 in the atmosphere changes the baseline and causes systemic warming in our climate.  On the contrary, all of the warming since 1947 was episodic, coming from three brief events associated with oceanic cycles. And now in 2024 we have seen an amazing episode with a temperature spike driven by ocean air warming in all regions, along with rising NH land temperatures, now receding from its peak.

Chris Schoeneveld has produced a similar graph to the animation above, with a temperature series combining HadCRUT4 and UAH6. H/T WUWT

image-8

 

mc_wh_gas_web20210423124932

See Also Worst Threat: Greenhouse Gas or Quiet Sun?

July 2024 Global Temps Little Changed by Land Warmingbanner-blog

With apologies to Paul Revere, this post is on the lookout for cooler weather with an eye on both the Land and the Sea.  While you heard a lot about 2020-21 temperatures matching 2016 as the highest ever, that spin ignores how fast the cooling set in.  The UAH data analyzed below shows that warming from the last El Nino had fully dissipated with chilly temperatures in all regions. After a warming blip in 2022, land and ocean temps dropped again with 2023 starting below the mean since 1995.  Spring and Summer 2023 saw a series of warmings, continuing into October, followed by cooling. 

UAH has updated their tlt (temperatures in lower troposphere) dataset for July 2024. Posts on their reading of ocean air temps this month follows the update from HadSST4.  I posted last week on SSTs using HadSST4 Oceans Warming Uptick July 2024. This month also has a separate graph of land air temps because the comparisons and contrasts are interesting as we contemplate possible cooling in coming months and years.

Sometimes air temps over land diverge from ocean air changes. Last February 2024, both ocean and land air temps went higher driven by SH, while NH and the Tropics cooled slightly, resulting in Global anomaly matching October 2023 peak. Then in March Ocean anomalies cooled while Land anomalies rose everywhere. After a mixed pattern in April, the May anomalies were back down led by a large drop in NH land, and a smaller ocean decline in all regions. In June all Ocean regions dropped down, as well as dips in SH and Tropical land temps. Now in July all Oceans were unchanged except for Tropical warming, while all land regions rose slightly. 

Note:  UAH has shifted their baseline from 1981-2010 to 1991-2020 beginning with January 2021.  In the charts below, the trends and fluctuations remain the same but the anomaly values changed with the baseline reference shift.

Presently sea surface temperatures (SST) are the best available indicator of heat content gained or lost from earth’s climate system.  Enthalpy is the thermodynamic term for total heat content in a system, and humidity differences in air parcels affect enthalpy.  Measuring water temperature directly avoids distorted impressions from air measurements.  In addition, ocean covers 71% of the planet surface and thus dominates surface temperature estimates.  Eventually we will likely have reliable means of recording water temperatures at depth.

Recently, Dr. Ole Humlum reported from his research that air temperatures lag 2-3 months behind changes in SST.  Thus cooling oceans portend cooling land air temperatures to follow.  He also observed that changes in CO2 atmospheric concentrations lag behind SST by 11-12 months.  This latter point is addressed in a previous post Who to Blame for Rising CO2?

After a change in priorities, updates are now exclusive to HadSST4.  For comparison we can also look at lower troposphere temperatures (TLT) from UAHv6 which are now posted for July.  The temperature record is derived from microwave sounding units (MSU) on board satellites like the one pictured above. Recently there was a change in UAH processing of satellite drift corrections, including dropping one platform which can no longer be corrected. The graphs below are taken from the revised and current dataset.

The UAH dataset includes temperature results for air above the oceans, and thus should be most comparable to the SSTs. There is the additional feature that ocean air temps avoid Urban Heat Islands (UHI).  The graph below shows monthly anomalies for ocean air temps since January 2015.

Note 2020 was warmed mainly by a spike in February in all regions, and secondarily by an October spike in NH alone. In 2021, SH and the Tropics both pulled the Global anomaly down to a new low in April. Then SH and Tropics upward spikes, along with NH warming brought Global temps to a peak in October.  That warmth was gone as November 2021 ocean temps plummeted everywhere. After an upward bump 01/2022 temps reversed and plunged downward in June.  After an upward spike in July, ocean air everywhere cooled in August and also in September.   

After sharp cooling everywhere in January 2023, all regions were into negative territory. Note the Tropics matched the lowest value, but since have spiked sharply upward +1.7C, with the largest increases in April to July, and continuing through adding to a new high of 1.3C January to March 2024.  In April and May that started dropping in all regions.   June showed a sharp decline everywhere, led by the Tropics down 0.5C. The Global anomaly fell to nearly match the September 2023 value. Now in July, the Tropics rose slightly while SH, NH and the Global Anomaly were unchanged.

Land Air Temperatures Tracking in Seesaw Pattern

We sometimes overlook that in climate temperature records, while the oceans are measured directly with SSTs, land temps are measured only indirectly.  The land temperature records at surface stations sample air temps at 2 meters above ground.  UAH gives tlt anomalies for air over land separately from ocean air temps.  The graph updated for July is below.

 

Here we have fresh evidence of the greater volatility of the Land temperatures, along with extraordinary departures by SH land.  Land temps are dominated by NH with a 2021 spike in January,  then dropping before rising in the summer to peak in October 2021. As with the ocean air temps, all that was erased in November with a sharp cooling everywhere.  After a summer 2022 NH spike, land temps dropped everywhere, and in January, further cooling in SH and Tropics offset by an uptick in NH. 

Remarkably, in 2023, SH land air anomaly shot up 2.1C, from  -0.6C in January to +1.5 in September, then dropped sharply to 0.6 in January 2024, matching the SH peak in 2016. Then in February and March SH anomaly jumped up nearly 0.7C, and Tropics went up to a new high of 1.5C, pulling up the Global land anomaly to match 10/2023. In April SH dropped sharply back to 0.6C, Tropics cooled very slightly, but NH land jumped up to a new high of 1.5C, pulling up Global land anomaly to its new high of 1.24C.

In May that NH spike started to reverse.  Despite warming in Tropics and SH, the much larger NH land mass pulled the Global land anomaly back down to the February value. In June, sharp drops in SH and Tropics land temps overcame an upward bump in NH, pulling Global land anomaly down to match last December. Now in July, all land regions rose slightly, pulling the Global land anomaly up by o.16°C. Despite this land warming, the Global land and ocean combined anomaly rose only 0.05°C.

The Bigger Picture UAH Global Since 1980

The chart shows monthly Global anomalies starting 01/1980 to present.  The average monthly anomaly is -0.04, for this period of more than four decades.  The graph shows the 1998 El Nino after which the mean resumed, and again after the smaller 2010 event. The 2016 El Nino matched 1998 peak and in addition NH after effects lasted longer, followed by the NH warming 2019-20.   An upward bump in 2021 was reversed with temps having returned close to the mean as of 2/2022.  March and April brought warmer Global temps, later reversed

With the sharp drops in Nov., Dec. and January 2023 temps, there was no increase over 1980. Then in 2023 the buildup to the October/November peak exceeded the sharp April peak of the El Nino 1998 event. It also surpassed the February peak in 2016. After March and April took the Global anomaly to a new peak of 1.05C.  The cool down started with May dropping to 0.90C, and in June a further decline to 0.80C.  Despite an uptick to 0.85 in July,   it remains to be seen whether El Nino will weaken or gain strength, and it whether we are past the recent peak.

The graph reminds of another chart showing the abrupt ejection of humid air from Hunga Tonga eruption.

TLTs include mixing above the oceans and probably some influence from nearby more volatile land temps.  Clearly NH and Global land temps have been dropping in a seesaw pattern, nearly 1C lower than the 2016 peak.  Since the ocean has 1000 times the heat capacity as the atmosphere, that cooling is a significant driving force.  TLT measures started the recent cooling later than SSTs from HadSST4, but are now showing the same pattern. Despite the three El Ninos, their warming has not persisted prior to 2023, and without them it would probably have cooled since 1995.  Of course, the future has not yet been written.

 

The Original Sin of GHG Theory

In reality, Water only spontaneously flows down a
pressure gradient (downhill).
Energy only spontaneously flows
down an energy density gradient (from high to low).

In the domain of theology, original sin refers to Adam and Eve choosing to trust the serpent’s lies rather than natural truth placed by God in the Garden of Eden.  In legal proceedings, a similar concept concerns evidence obtained under false pretences.  “The fruit of a poisonous tree” refers to analyses, interpretations or conclusions that must be excluded because they started with a falsehood.

This post delves into a fraud at the root of consensus Climate Science™, illustrated by the image above showing how both water and energy flow down their respective gradients.  William Happer alluded to the problem in a recent presentation: (See Happer: Cloud Radiation Matters, CO2 Not So Much)

As we shall see below, mischief is a very polite term for a math and science error that has poisoned most all thinking and discussion about changes in climate and weather.  In a previous post, I summarized an important empirical experiment by Thomas Allmendinger proving that a parcel of pure CO2 and a parcel of ordinary air warm exactly the same when exposed to both SW and LW radiation.  (See Experimental Proof Nil Warming from GHGs).

So we know the notion is empirically wrong, now let’s discuss how GHG theory went off the rails from the beginning.  For that I provide below a synopsis of commentary by blogger Morpheus which he posted at Tallbloke’s Talkshop.  Excerpts in italics with my bolds and added images. (Title in red is link to blog)

CAGW (Catastrophic Anthropogenic Global Warming, due to CO2)
is nothing more than a complex mathematical scam.

The takeaways:

1) The climatologists have conflated their purported “greenhouse effect” with the Kelvin-Helmholtz Gravitational Auto-Compression Effect (aka the lapse rate).

2) The climatologists purport the causative agent for their purported “greenhouse effect” to be “backradiation”.

3) The Kelvin-Helmholtz Gravitational Auto-Compression Effect’s causative agent is, of course, gravity.

4) “Backradiation” is physically impossible because energy cannot spontaneously flow up an energy density gradient.

5) The climatologists misuse the Stefan-Boltzmann (S-B) equation, using the idealized blackbody form of the equation upon graybody objects, which manufactures out of thin air their purported “backradiation”. It is only a mathematical artifact due to that aforementioned misuse of the S-B equation. It does not and cannot actually exist. Its existence would imply rampant violations of the fundamental physical laws.

6) Polyatomic molecules are net atmospheric radiative coolants, not “global warming” gases. Far from the ‘global warming gas’ claimed by the climatologists, water acts as a literal refrigerant (in the strict ‘refrigeration cycle’ sense) below the tropopause. CO2 is the most prevalent atmospheric radiative coolant above the tropopause and the second-most prevalent (behind water vapor) below the tropopause. Peer reviewed studies corroborating this are referenced in the paper at the end of this post.

As you can see, there are two forms of the Stefan-Boltzmann (S-B) equation… one for idealized blackbody objects, one for graybody objects.

The idealized blackbody form of the S-B equation assumes emission to 0 K and ε = 1 by the very definition of idealized blackbody objects. ( ε is the term for emissivity from 0 to 1).

Idealized Blackbody Object (assumes emission to 0 K and ε = 1 by definition):
q_bb = ε σ (T_h^4 – T_c^4) A_h
1 σ (T_h^4 – 0 K) 1 m^2
=    σ  T^4

The graybody form of the S-B equation assumes emission to > 0 K and ε < 1.

Graybody Object (assumes emission to > 0 K and ε < 1):
q_gb = ε σ (T_h^4 – T_c^4) A_h

The ‘A_h’ term is merely a multiplier, used if one is calculating for an area larger than unity [for instance: >1 m^2], which converts the result from radiant exitance (W m-2, radiant flux per unit area) to radiant flux (W).

One can see from the immediately-above equation that the Stefan-Boltzmann (S-B) equation is all about subtracting the radiation energy density of the cooler object from the radiation energy density of the warmer object.

So radiant exitance at its most simplified (and thus the S-B equation at its most simplified) is just the emissivity of the warmer object (because emissivity only applies to objects which are emitting, and only the warmer object will be emitting… the colder object will be unable to emit in the direction of the warmer object because energy cannot spontaneously flow up an energy density gradient) multiplied by the speed of light in vacua, multiplied by the energy density differential, all divided by 4.

For graybody objects, it is the radiation energy density differential between warmer object and cooler object which determines warmer object radiant exitance. Warmer objects don’t absorb radiation from cooler objects (a violation of 2LoT in the Clausius Statement sense and Stefan’s Law); the lower radiation energy density gradient between warmer and cooler objects (as compared to between warmer object and 0 K) lowers radiant exitance of the warmer object (as compared to its radiant exitance if it were emitting to 0 K). The radiation energy density differential between objects manifests a radiation energy density gradient, each surface’s radiation energy density manifesting a proportional radiation pressure.

The climatologists use:   q = σ T^4on graybody objects, and sometimes slap ε<1 onto that,
when they should be using:  q = ε σ (T_h^4 – T_c^4)

This has the effect of artificially inflating radiant exitance of all calculated-upon objects.

Essentially, the climatologists are treating real-world graybody objects as though they are idealized blackbody objects… with emission to 0 K and emissivity of 1 (sometimes… other times they slap emissivity onto the idealized blackbody form of the S-B equation while still assuming emission to 0 K… which is still a misuse of the S-B equation, for graybody objects).

This essentially isolates each object into its own system so it cannot interact with other objects via the ambient EM field, which grossly inflates radiant exitance of all objects, necessitating that the climatologists carry these incorrect values through their calculation and cancel them on the back end (to get their equation to balance) by subtracting a wholly-fictive ‘cooler to warmer’ energy flow from the real (but far too high because it was calculated for emission to 0 K) ‘warmer to cooler’ energy flow.

That wholly-fictive ‘cooler to warmer’ energy flow is otherwise known as ‘backradiation’... it is nothing more than a mathematical artifact due to that aforementioned misuse of the S-B equation.

As I show here and in the below-linked paper, the correct usage of the S-B equation for graybody objects is via subtracting cooler object energy density from warmer object energy density to arrive at the energy density gradient, which determines radiant exitance of the warmer object.

So we’re talking about the same concept as water only spontaneously flowing down a pressure gradient (ie: downhill) when we talk of energy (of any form) only spontaneously flowing down an energy density gradient. Energy density is pressure, an energy density gradient is a pressure gradient… for energy.

It’s a bit more complicated for gases because they can convert that energy density to a change in volume (1 J m-3 = 1 Pa), for constant-pressure processes, which means the unconstrained volume of a gas will change such that its energy density (in J m-3) will tend toward being equal to pressure (in Pa). This is the underlying mechanism for convection. It should also have clued the climatologists in to the fact that it is solar insolation and atmospheric pressure which ‘sets’ temperature, not any ‘global warming’ gases.

Since a warmer object will have higher radiation energy density at all wavelengths than a cooler object (because remember, temperature is a measure of radiation energy density, equal to the fourth root of radiation energy density divided by Stefan’s Constant):

… ‘backradiation’ can do nothing to warm the surface because energy cannot spontaneously radiatively flow from lower to higher radiation energy density, and thus CAGW is nothing more than a complex mathematical scam perpetrated to obtain multiple billions of dollars in funding for trough-grubbing line-toeing ‘scientists’ and by perfidious politicians.

“But how does that make CAGW a scam?”, some may ask… well, because we’re being lied to, based upon an unscientific premise.

The climatologists have misused the Stefan-Boltzmann (S-B) equation (and the fundamental physical laws), and in the process, have practically flipped reality on its headpolyatomics (CO2, H2O, etc.) are not “global warming gases”, they are net atmospheric radiative coolants (radiative emission to space being the only way that Earth can shed energy); monoatomics (Ar) are not inert gases that have no effect upon climate, they are the actual “greenhouse gases” (because they cannot emit IR, and thus cannot shed energy to space… they dilute the radiative coolant gases); homonuclear diatomics (N2, O2) are somewhere in between… they can radiatively emit IR (and thus shed energy from the system known as ‘Earth’), but only under certain conditions (collisional perturbation of their net-zero electric dipole, which is why homonuclear diatomic vibrational mode quantum states are meta-stable and relatively long-lived. Collisions happen exponentially less frequently as altitude increases), and thus are “greenhouse gases” like the monoatomics, just not to the same extent.

We live, at the planet’s surface, in what can be analogized to the evaporator section of a world-sized AC unit, with polyatomics being net atmospheric radiative coolants (a higher concentration of them increases thermodynamic coupling between heat source (surface) and sink (space)), and with monoatomics and homonuclear diatomics playing the same role as non-condensable gases would play in an AC unit… diluting the polyatomic radiative gases which transit the majority of the energy, thus reducing the efficiency at which energy is transited from surface to upper atmosphere, then radiatively emitted to space.

Think about it this way… we all know the air warms up during the daytime as the planet’s surface absorbs energy from the sun. Conduction of that energy when air contacts the planet’s surface is the major reason air warms up.

How does that ~99% of the atmosphere (N2, O2, Ar) cool down? It cannot effectively radiatively emit.

Convection moves energy around in the atmosphere, but it cannot shed energy to space. Conduction depends upon thermal contact with other matter and since space is essentially a vacuum, conduction cannot shed energy to space… this leaves only radiative emission. The only way our planet can shed energy is via radiative emission to space. Fully ~76.2% of all surface energy is removed via convection, advection and evaporation. The surface only radiatively emits ~23.8% of all surface energy to space. That ~76.2% must be emitted to space by the atmosphere.

ERBE Earth Radiation Budget Experiment

Thus, common sense dictates that the thermal energy of the constituents of the atmosphere which cannot effectively radiatively emit (N2, O2, Ar) must be transferred to the so-called ‘greenhouse gases’ (CO2 being a lesser contributor below the tropopause and the largest contributor above the tropopause, water vapor being the main contributor below the tropopause) which can radiatively emit and thus shed that energy to space. Peer-reviewed studies corroborating this are referenced in the linked file below.

So, far from being ‘greenhouse gases’ which ‘trap heat’ in the atmosphere, those polyatomic radiative gases actually shed energy from the atmosphere to space. They are net atmospheric radiative coolants.

In short, in an atmosphere sufficiently dense such that collisional energy transfer can significantly occur, all polyatomic radiative molecules play the part of atmospheric radiative coolants at and above the temperature at which the combined translational mode energy of two colliding particles (atoms or molecules) exceeds the lowest excited vibrational mode quantum state energy of the radiative molecule. Below this temperature, they act to warm the atmosphere via thermalization (the mechanism the climate alarmists claim happens all the time), but if that occurs below the tropopause, the net result is an increase of Convective Available Potential Energy, which increases convection, which is a net cooling process. It is a gradation… as temperature increases, so too does the population of vibrationally excited polyatomics, and thus increases radiative emission. For CO2, that ‘transition temperature’ (the temperature at which the molecule transitions from being ‘net warmant’ to ‘net coolant’ and vice versa) is ~288 K.

The climatologists only told people half the story (thermalization by CO2 via vibrational mode to translation mode (v-t) collisional energy transfer processes). They didn’t tell anyone about the inverse (translational mode to vibrational mode (t-v) collisional energy transfer processes, (then that energy being radiatively emitted to space)), which is a cooling process. That didn’t fit their doomsaying narrative, so they left it out.

In other words, the climatologists only told people about the warming part (thermalization), not the cooling part. In order to hew to the fundamental physical laws, one must consider energy flow both to and from the CO2 molecule.

This doesn’t just apply to CO2, however. It applies to all atmospheric polyatomic molecules. In fact, far from the ‘global warming gas’ claimed by the climatologists, water acts as a literal refrigerant (in the strict ‘refrigeration cycle’ sense) below the tropopause:

That’s why, after all, the humid adiabatic lapse rate (~3.5 to ~6.5 K km-1) is lower than the dry adiabatic lapse rate (~9.81 K km-1).

You will note that the dry adiabatic lapse rate is due to the monoatomics and homonuclear diatomics... we’ve removed in this case the predominant polyatomic which reduces lapse rate.

Remember that an actual greenhouse works by hindering convection of energy out of the greenhouse.

In an atmosphere consisting of solely monoatomics and homonuclear diatomics (ie: no polyatomic radiative molecules), the atoms / molecules could pick up energy via conduction by contacting the surface, just as the polyatomics do; they could convect just as the polyatomics do… but once in the upper atmosphere, they could not as effectively radiatively emit that energy, the upper atmosphere would warm, lending less buoyancy to convecting air, thus hindering convection… and that’s how an actual greenhouse works, by hindering convection.

For homonuclear diatomics, there would be some collisional perturbation of their net-zero electric dipole and thus some emission in the atmosphere, but by and large the atmosphere could not effectively emit (especially at higher altitudes, because the probability of collision decreases exponentially with altitude).

Thus the surface would have to radiatively emit that energy (which is currently ~76.2% of all energy removed from the surface via radiation, convection and evaporation) instead… and a higher surface radiant exitance implies a higher surface temperature.

On the contrary, in our actual atmosphere, as temperature increases, (t-v) (translational mode -to- vibrational mode) collisional energy transfer processes increase and thus spectral emission increases only because CO2 is a net atmospheric radiative coolant (transferring translational mode energy to vibrational mode energy, then radiatively emitting it). So they are attempting to claim that CO2 is a “global warming gas” and simultaneously a net atmospheric radiative coolant, a contradiction… which is why their claims make no sense upon close examination.

In fact, removing CO2 would increase upper atmosphere temperature (due to fewer emitters in the upper atmosphere), which would set the starting point of the lapse rate higher, which translates down through the lapse rate to a warmer surface. That doesn’t occur with Ar, because it is a monoatomic, has no vibrational mode quantum states and thus cannot emit (nor absorb) IR in any case, and thus it only dilutes the radiative polyatomics, reducing the efficiency by which energy is transited from surface to space.

Because we don’t live in a ‘greenhouse’ as the climatologists claim… we live in what can be analogized to a world-sized AC unit… the surface is akin to the AC unit’s evaporator section (ie: the heat source); the atmosphere is akin to the AC unit’s working fluid; space is akin to the AC unit’s condenser section (ie: the heat sink); convection is akin to the AC unit’s compressor (ie: the motive force to move the working fluid).

These concepts used to be common knowledge. Somewhere along the way, the concepts got skewed to fit a particular narrative. Eventually, the concepts described herein will be common knowledge again, whereupon CAGW and its offshoots will be dumped on the midden heap of bad scientific ideas.

 

This Summer Celebrate Our Warm Climate

Legacy and social media keep up a constant drumbeat of warnings about a degree or two of planetary warming without any historical context for considering the significance of the alternative.  A poem of Robert Frost comes to mind as some applicable wisdom:

The diagram at the top shows how grateful we should be for living in today’s climate instead of a glacial icehouse. (H/T Raymond Inauen)  For most of its history Earth has been frozen rather than the mostly green place it is today.  And the reference is to the extent of the North American ice sheet during the Last Glacial Maximum (LGM).

For further context consider that geologists refer to our time as a “Severe Icehouse World”, among the various conditions in earth’s history, as diagramed by paleo climatologist Christopher Scotese. Referring to the Global Mean Temperatures, it appears after many decades, we are slowly rising to “Icehouse World”, which would seem to be a good thing.

Instead of fear mongering over a bit of warming, we should celebrate our good fortune, and do our best for humanity and the biosphere.  Matthew Ridley takes it from there in a previous post. Excerpts in italics with my bolds and added images.

Background from previous post The Goodness of Global Warming

LAI refers to Leaf Area Index.

As noted in other posts here, warming comes and goes and a cooling period may now be ensuing. See No Global Warming, Chilly January Land and Sea.  Matt Ridley provides a concise and clear argument to celebrate any warming that comes to our world in his Spiked article Why global warming is good for us.  Excerpts in italics with my bolds and added images.

Climate change is creating a greener, safer planet.

Global warming is real. It is also – so far – mostly beneficial. This startling fact is kept from the public by a determined effort on the part of alarmists and their media allies who are determined to use the language of crisis and emergency. The goal of Net Zero emissions in the UK by 2050 is controversial enough as a policy because of the pain it is causing. But what if that pain is all to prevent something that is not doing net harm?

The biggest benefit of emissions is global greening, the increase year after year of green vegetation on the land surface of the planet. Forests grow more thickly, grasslands more richly and scrub more rapidly. This has been measured using satellites and on-the-ground recording of plant-growth rates. It is happening in all habitats, from tundra to rainforest. In the four decades since 1982, as Bjorn Lomborg points out, NASA data show that global greening has added 618,000 square kilometres of extra green leaves each year, equivalent to three Great Britains. You read that right: every year there’s more greenery on the planet to the extent of three Britains. I bet Greta Thunberg did not tell you that.

The cause of this greening? Although tree planting, natural reforestation, slightly longer growing seasons and a bit more rain all contribute, the big cause is something else. All studies agree that by far the largest contributor to global greening – responsible for roughly half the effect – is the extra carbon dioxide in the air. In 40 years, the proportion of the atmosphere that is CO2 has gone from 0.034 per cent to 0.041 per cent. That may seem a small change but, with more ‘food’ in the air, plants don’t need to lose as much water through their pores (‘stomata’) to acquire a given amount of carbon. So dry areas, like the Sahel region of Africa, are seeing some of the biggest improvements in greenery. Since this is one of the poorest places on the planet, it is good news that there is more food for people, goats and wildlife.

But because good news is no news, green pressure groups and environmental correspondents in the media prefer to ignore global greening. Astonishingly, it merited no mentions on the BBC’s recent Green Planet series, despite the name. Or, if it is mentioned, the media point to studies suggesting greening may soon cease. These studies are based on questionable models, not data (because data show the effect continuing at the same pace). On the very few occasions when the BBC has mentioned global greening it is always accompanied by a health warning in case any viewer might glimpse a silver lining to climate change – for example, ‘extra foliage helps slow climate change, but researchers warn this will be offset by rising temperatures’.

Another bit of good news is on deaths. We’re against them, right? A recent study shows that rising temperatures have resulted in half a million fewer deaths in Britain over the past two decades. That is because cold weather kills about ’20 times as many people as hot weather’, according to the study, which analyses ‘over 74million deaths in 384 locations across 13 countries’. This is especially true in a temperate place like Britain, where summer days are rarely hot enough to kill. So global warming and the unrelated phenomenon of urban warming relative to rural areas, caused by the retention of heat by buildings plus energy use, are both preventing premature deaths on a huge scale.

Figure 8: Warming in the tropical troposphere according to the CMIP6 models.
Trends 1979–2014 (except the rightmost model, which is to 2007), for 20°N–20°S, 300–200 hPa.  Source John Christy

 

Summer temperatures in the US are changing at half the rate of winter temperatures and daytimes are warming 20 per cent slower than nighttimes. A similar pattern is seen in most countries. Tropical nations are mostly experiencing very slow, almost undetectable daytime warming (outside cities), while Arctic nations are seeing quite rapid change, especially in winter and at night. Alarmists love to talk about polar amplification of average climate change, but they usually omit its inevitable flip side: that tropical temperatures (where most poor people live) are changing more slowly than the average.

My Mind is Made Up, Don’t Confuse Me with the Facts. H/T Bjorn Lomborg, WUWT

But are we not told to expect more volatile weather as a result of climate change? It is certainly assumed that we should. Yet there’s no evidence to suggest weather volatility is increasing and no good theory to suggest it will. The decreasing temperature differential between the tropics and the Arctic may actually diminish the volatility of weather a little.

 

Indeed, as the Intergovernmental Panel on Climate Change (IPCC) repeatedly confirms, there is no clear pattern of storms growing in either frequency or ferocity, droughts are decreasing slightly and floods are getting worse only where land-use changes (like deforestation or building houses on flood plains) create a problem. Globally, deaths from droughts, floods and storms are down by about 98 per cent over the past 100 years – not because weather is less dangerous but because shelter, transport and communication (which are mostly the products of the fossil-fuel economy) have dramatically improved people’s ability to survive such natural disasters.

The effect of today’s warming (and greening) on farming is, on average, positive: crops can be grown farther north and for longer seasons and rainfall is slightly heavier in dry regions. We are feeding over seven billion people today much more easily than we fed three billion in the 1960s, and from a similar acreage of farmland. Global cereal production is on course to break its record this year, for the sixth time in 10 years.

Nature, too, will do generally better in a warming world. There are more species in warmer climates, so more new birds and insects are arriving to breed in southern England than are disappearing from northern Scotland. Warmer means wetter, too: 9,000 years ago, when the climate was warmer than today, the Sahara was green. Alarmists like to imply that concern about climate change goes hand in hand with concern about nature generally. But this is belied by the evidence. Climate policies often harm wildlife: biofuels compete for land with agriculture, eroding the benefits of improved agricultural productivity and increasing pressure on wild land; wind farms kill birds and bats; and the reckless planting of alien sitka spruce trees turns diverse moorland into dark monoculture.

Meanwhile, real environmental issues are ignored or neglected because of the obsession with climate. With the help of local volunteers I have been fighting to protect the red squirrel in Northumberland for years. The government does literally nothing to help us, while it pours money into grants for studying the most far-fetched and minuscule possible climate-change impacts. Invasive alien species are the main cause of species extinction worldwide (like grey squirrels driving the red to the margins), whereas climate change has yet to be shown to have caused a single species to die out altogether anywhere.

Source: Phanerozoic_Biodiversity.png Author: SVG version by Albert Mestre

Of course, climate change does and will bring problems as well as benefits. Rapid sea-level rise could be catastrophic. But whereas the sea level shot up between 10,000 and 8,000 years ago, rising by about 60 metres in two millennia, or roughly three metres per century, today the change is nine times slower: three millimetres a year, or a foot per century, and with not much sign of acceleration. Countries like the Netherlands and Vietnam show that it is possible to gain land from the sea even in a world where sea levels are rising. The land area of the planet is actually increasing, not shrinking, thanks to siltation and reclamation.

Environmentalists don’t get donations or invitations to appear on the telly if they say moderate things. To stand up and pronounce that ‘climate change is real and needs to be tackled, but it’s not happening very fast and other environmental issues are more urgent’ would be about as popular as an MP in Oliver Cromwell’s parliament declaring, ‘The evidence for God is looking a bit weak, and I’m not so very sure that fornication really is a sin’. And I speak as someone who has made several speeches on climate in parliament.

No wonder we don’t hear about the good news on climate change.