This month van Wijngaarden and Happer published a new paper Radiation Transport in Clouds.

Last year William Happer spoke on Radiation Transfer in Clouds at the EIKE conference, and the video is above.  For those preferring to read, below is a transcript from the closed captions along with some key exhibits.  I left out the most technical section in the latter part of the presentation. Text in italics with my bolds.

William Happer: Radiation Transfer in Clouds

People have been looking at Clouds for a very long time in in a quantitative way. This is one of the first quantitative studies done about 1800. And this is John Leslie,  a Scottish physicist who built this gadget. He called it an Aethrioscope, but basically it was designed to figure out how effective the sky was in causing Frost. If you live in Scotland you worry about Frost. So it consisted of two glass bulbs with a very thin capillary attachment between them. And there was a little column of alcohol here.

The bulbs were full of air, and so if one bulb got a little bit warmer it would force the alcohol up through the capillary. If this one got colder it would suck the alcohol up. So he set this device out under the clear sky. And he described that the sensibility of the instrument is very striking. For the liquor incessantly falls and rises in the stem with every passing cloud. in fine weather the aethrioscope will seldom indicate a frigorific impression of less than 30 or more than 80 millesimal degrees. He’s talking about how high this column of alcohol would go up and down if the sky became overclouded. it may be reduced to as low as 15 refers to how much the sky cools or even five degrees when the congregated vapours hover over the hilly tracks. We don’t speak English that way anymore but I I love it.

The point was that even in 1800 Leslie and his colleagues knew very well that clouds have an enormous effect on the cooling of the earth. And of course anyone who has a garden knows that if you have a clear calm night you’re likely to get Frost and lose your crops. So this was a quantitative study of that.

Now it’s important to remember that if you go out today the atmosphere is full of two types of radiation. There’s sunlight which you can see and then there is the thermal radiation that’s generated by greenhouse gases, by clouds and by the surface of the Earth. You can’t see thermal radiation but you you can feel it if it’s intense enough by its warming effect. And these curves practically don’t overlap so we’re really dealing with two completely different types of radiation.

There’s sunlight which scatters very nicely and off of not only clouds but molecules; it’s the blue sky the Rayleigh scattering. Then there’s the thermal radiation which actually doesn’t scatter at all on molecules so greenhouse gases are very good at absorbing thermal radiation but they don’t scatter it. But clouds scatter thermal radiation and plotted here is the probability that you will find Photon of sunlight between you know log of its wavelength and the log of in this interval of the wavelength scale.

Since Leslie’s day two types of instruments have been developed to do what he did more precisely. One of them is called a pyranometer and this is designed to measure sunlight coming down onto the Earth on a day like this. So you put this instrument out there and it would read the flux of sunlight coming down. It’s designed to see sunlight coming in every direction so it doesn’t matter which angle the sun is shining; it’s uh calibrated to see them all.

Let me show you a measurement by a pyranometer. This is a actually a curve from a sales brochure of a company that will sell you one of these devices. It’s comparing two types of detectors and as you can see they’re very good you can hardly tell the difference. The point is that if you look on a clear day with no clouds you see sunlight beginning to increase at dawn it peaks at noon and it goes down to zero and there’s no sunlight at night. So half of the day over most of the Earth there’s no sunlight in the in the atmosphere.

Here’s a day with clouds, it’s just a few days later shown by days of the year going across. You can see every time a cloud goes by the intensity hitting the ground goes down. With a little clear sky it goes up, then down up and so on. On average at this particular day you get a lot less sunlight than you did on the clear day.

But you know nature is surprising. Einstein had this wonderful quote: God is subtle but he’s not malicious. He meant that nature does all of sorts of things you don’t expect, and so let me show you what happens on a partly cloudy day. Here so this is data taken near Munich. The blue curve is the measurement and the red curve is is the intensity on the ground if there were no clouds. This is a partly cloudy day and you can see there are brief periods when the sunlight is much brighter on the detector on a cloudy day than it is on the clear day. And that’s because coming through clouds you get focusing from the edges of the cloud pointing down toward your detector. That means somewhere else there’s less radiation reaching the ground. But this is rather surprising to most people. I was very surprised to learn about it but it just shows that the actual details of climate are a lot more subtle than you might think.

We know that visible light only happens during the daytime and stops at night. There’s a second type of important radiation which is the thermal radiation which is measured by a similar device. You have a silicon window that passes infrared, which is below the band gap of silicon, so it passes through it as though transparent. Then there’s some interference filters here to give you further discrimination against sunlight. So sunlight practically doesn’t go through this at all, so they call it solar solar blind since it doesn’t see the Sun.

But it sees thermal radiation very clearly with a big difference between this device and the sunlight sensing device I showed you. Because actually most of the time this is radiating up not down. Out in the open air this detector normally gets colder than the body of the instrument. And so it’s carefully calibrated for you to compare the balance of down coming radiation with the upcoming radiation. Upcoming is normally greater than down coming.

I’ll show you some measurements of the downwelling flux here; these are actually in Greenland in Thule and these are are watts per square meter on the vertical axis here. The first thing to notice is that the radiation continues day and night you can you if you look at the output of the pyrgeometer you can’t tell whether it’s day or night because the atmosphere is just as bright at night as it is during the day. However, the big difference is clouds: on a cloudy day you get a lot more downwelling radiation than you do on a clear day. Here’s a a near a full day of clear weather there’s another several days of clear weather. Then suddenly it gets cloudy. Radiation rises because the bottoms of the clouds are relatively warm at least compared to the clear sky. I think if you put the numbers In, this cloud bottom is around 5° Centigrade so it was fairly low Cloud. it was summertime in Greenland and this compares to about minus 5° for the clear sky.

So there’s a lot of data out there and there really is downwelling radiation there no no question about that you measure it routinely. And now you can do the same thing looking down from satellites so this is a picture that I downloaded a few weeks ago to get ready for this talk from Princeton and it was from Princeton at 6 PM so it was already dark in Europe. So this is a picture of the Earth from a geosynchronous satellite that’s parked over Ecuador. You are looking down on the Western Hemisphere and this is a filtered image of the Earth in Blue Light at 47 micrometers. So it’s a nice blue color not so different from the sky and it’s dark where the sun has set. There’s still a fair amount of sunlight over the United States and the further west.

Here is exactly the same time and from the same satellite the infrared radiation coming up at 10.3 which is right in the middle of the infrared window where there’s not much Greenhouse gas absorption; there’s a little bit from water vapor but very little, trivial from CO2.

As you can see, you can’t tell which side is night and which side is day. So even though the sun has set over here it is still glowing nice and bright. There’s sort of a pesky difference here because what you’re looking at here is reflected sunlight over the intertropical Convergence Zone. There are lots of high clouds that have been pushed up by the convection in the tropics and uh so this means more visible light here. You’re looking at emission of the cloud top so this is less thermal light so white here means less light, white there means more light so you have to calibrate your thinking. to

But the Striking thing about all of this: if you can see the Earth is covered with clouds, you have to look hard to find a a clear spot of the earth. Roughly half of the earth maybe is clear at any given time but most of it’s covered with clouds. So if anything governs the climate it is clouds and and so that’s one of the reasons I admire so much the work that Svensmark and Nir Shaviv have done. Because they’re focusing on the most important mechanism of the earth: it’s not Greenhouse Gases, it’s Clouds. You can see that here.

Now this is a single frequency let me show you what happens if you look down from a satellite and do look at the Spectrum. This is the spectrum of light coming up over the Sahara Desert measured from a satellite. And so here is the infrared window; there’s the 10.3 microns I mentioned in the previous slide it’s it’s a clear region. So radiation in this region can get up from the surface of the Sahara right up to outer space.

Notice that the units on these scales are very different; over the Sahara the top unit is 200, 150 over the Mediterranean and it’s only 60 over the South Pole. But at least the Mediterranean and the Sahara are roughly similar so the right side here these three curves on the right are observations from satellites and the three curves on the left are are calculations modeling that we’ve done. The point here is that you can hardly tell the difference between a model calculation and observed radiation.

So it’s really straightforward to calculate radiation transfer. If someone quotes you a number in watts per square centimeter you should take it seriously; that probably a good number. If they tell you a temperature you don’t know what to make about it. Because there’s a big step between going from watts per square centimeter to a temperature change. All the mischief in the whole climate business is going from watts per square centimeter to to Centigrade or Kelvin.

Now I will say just a few words about clear sky because that is the simplest. Then we’ll get on to clouds, the topic of this talk. This is a calculation with the same codes that I showed you in the previous slide which as you saw work very well. It’s worth spending a little time because this is the famous Planck curve that was the birth of quantum mechanics. There is Max Planck who figured out what the formula for that curve is and why it is that way. This is what the Earth would radiate at 15° Centigrade if there were no greenhouse gases. You would get this beautiful smooth curve the Planck curve. If you actually look at the Earth from the satellites you get a raggedy jaggedy black curve. We like to call that the Schwarzchild curve because Carl Schwarzchild was the person who showed how to do that calculation. Tragically he died during World War I, a Big Big loss to science.

There are two colored curves that I want to draw your attention. The green curve is is what Earth would radiate to space if you took away all the CO2 so it only differs from the black curve you know in the CO2 band here this is the bending band of CO2 which is the main greenhouse effect of CO2. There’s a little additional effect here which is the asymmetric stretch but it it doesn’t contribute very much. Then here is a red curve and that’s what happens if you double CO2.

So notice the huge asymmetry. If taking all 400 parts per million of CO2 away from the atmosphere causes this enormous change 30 watts per square meter, the difference between this green 307 and and the black 277, that’s 30 watts per square meter. But if you double CO2 you practically don’t make any change. This is the famous saturation of CO2. At the levels we have now doubling CO2, a 100% Increase of CO2 only changes the radiation to space by 3 watts per square meter. The difference between 274 for the red curve and 277 for the curve for today. So it’s a tiny amount: for 100% increase in CO2 a 1% decrease of radiation to space.

That allows you to estimate the feedback-free climate sensitivity in your head. I’ll talk you through the feedback-free climate free sensitivity. So doubling CO2 is a 1% decrease of radiation to space. If that happens then the Earth will start to warm up. But it will radiate as the fourth power of the temperature. So temperature starts to rise but if you’ve got a fourth power, the temperature only has to rise by one-quarter of a percent absolute temperature. So a 1% forcing in watts per square centimeter is a one-quarter percent of temperature in Kelvin. Since the ambient Kelvin temperature is about 300 Kelvin (actually a little less) a quarter of that is 75 Kelvin. So the feedback free equilibrium climate sensitivity is less than 1 Degree. It’s 0.75 Centigrade. It’s a number you can do in your head.

So when you hear about 3 centigrade instead of .75 C that’s a factor of four, all of which is positive feedback. So how is there really that much positive feedback? Because most feedbacks in nature are negative. The famous Le Chatelier principle which says that if you perturb a system it reacts in a way to to dampen the perturbation not increase it. There are a few positive feedback systems that we’re familiar with for example High explosives have positive feedback. So if the earth’s climate were like other positive feedback systems, all of them are highly explosive, it would have exploded a long time ago. But the climate has never done that, so the empirical observational evidence from geology is that the climate is like any other feedback system it’s probably negative Okay so I leave that thought with you and and let me stress again:

This is clear skies no clouds; if you add clouds all this does is
suppress the effects of changes of the greenhouse gas.

So now let’s talk about clouds and the theory of clouds, since we’ve already seen clouds are very important. Here is the formidable equation of transfer which has been around since Schwarzchild’s day. So some of the symbols here relate to the intensity, another represents scattering. If you have a thermal radiation on a greenhouse gas where it comes in and immediately is absorbed, there’s no scattering at all. If you hit a cloud particle it will scatter this way or that way, or some maybe even backwards.

So all of that’s described by this integral so you’ve got incoming light at One Direction and you’ve got outgoing light at a second Direction. And then at the same time you’ve got thermal radiation so the warm particles of the cloud are are emitting radiation creating photons which are coming out and and increasing the Earth glow the and this is represented by two parameters. Even a single cloud particle has an albedo, this is is the fraction of radiation that hits the cloud that is scattered as opposed to absorbed and being converted to heat. It’s a very important parameter for visible light and white clouds, typically 99% of the encounters are scattered. But for thermal radiation it’s much less. So water scatters thermal radiation only half as efficiently as shorter wavelengths.

The big problem is that in spite of all the billions of dollars that we have spent, these things which should be known and and would have been known if there hadn’t been this crazy fixation on carbon dioxide and greenhouse gases. And so we’ve neglected working on these areas that are really important as opposed to the trivial effects of greenhouse gases. Attenuation in a cloud is both scattering and absorption. Of course you have to solve these equations for every different frequency of the light because especially for molecules, there’s a strong frequency dependence.

In summary,  let me show you this photo which was taken by Harrison Schmitt who was a friend of mine on one of the first moonshots. It was taken in December and looking at this you can see that they were south of Madagascar when the photograph was taken. You can see it was Winter because here the Intertropical Convergence Zone is quite a bit south of the Equator; it’s moved Way South of India and Saudi Arabia. By good luck they had the sun behind them so they had the whole earth Irradiated.

There’s a lot of information there and and again let me draw your attention to how much of the Earth is covered with clouds. So only very small parts of the Earth can actually be directly affected by greenhouse gases, of the order of half. The takeaway message is that clouds and water vapor are much more important than greenhouse gases for earth’s climate. The second point is the reason they’re much more important: doubling CO2 as I indicated in the middle of the talk only causes a 1% difference of radiation to space. It is a very tiny effect because of saturation. You know people like to say that’s not so, but you can’t really argue that one, even the IPCC gets the same numbers that we do.

And you also know that covering half of the sky with clouds will decrease solar heating by 50%. So for clouds it’s one to one, for greenhouse gases it’s a 100 to one. If you really want to affect the climate, you want to do something to the clouds. You will have a very hard time making any difference with Net Zero with CO2 if you are alarmed about the warmings that have happened.

So one would hope that with all the money that we’ve spent trying to turn CO2 into a demon that some good science has come out of it. From my point of view this is a small part of it, this scattering theory that I think will be here a long time after the craze over greenhouse gases has gone away. I hope there will be other things too. You can point to the better instrumentation that we’ve got, satellite instrumentation as well as ground instrumentation. So that’s been a good investment of money. But the money we’ve spent on supercomputers and modeling has been completely wasted in my view.

“Mistake” definition (American Heritage Dictionary)

Noun

1. An error or fault resulting from defective judgment, deficient knowledge, or carelessness.
2. A misconception or misunderstanding.

Five Major IPCC Science Mistakes

♦  Surface stations records have warmed mostly from urban heat sources, not IR-active gases.

♦  Solar climate forcing varies more than IPCC admits.

♦  Experiments show more CO2 does not make air warmer.

♦  On all time scales temperature changes lead and CO2 changes follow.

♦  IPCC climate models exclude natural climate factors to blame all warming on GHGs.

Mistakes on Temperature Records and Solar Forcing

The first two misconceptions are described in a recent paper by CERES (Center for Environmental Research and Earth Sciences).  My post below provides the details.

Overview of CERES Study

Our review suggests that the IPCC reports have inadequately accounted for two major scientific concerns when they were evaluating the causes of global warming since the 1850s:

1. The global temperature estimates used in the IPCC reports are contaminated by urban warming biases.
2.  The estimates of solar activity changes since the 1850s considered by the IPCC substantially downplayed a possible large role for the Sun.

We conclude that it is not scientifically valid for the IPCC to rule out the possibility that global warming might be mostly natural.

Fatal Flaw Discredits IPCC Science

By way of John Ray comes this Spectator Australia article A basic flaw in IPCC science.  Excerpts in italics with my bolds and added images.

Detailed research is underway that threatens to undermine the foundations of the climate science promoted by the IPCC since its First Assessment Report in 1992. The research is re-examining the rural and urban temperature records in the Northern Hemisphere that are the foundation for the IPCC’s estimates of global warming since 1850. The research team has been led by Dr Willie Soon (a Malaysian solar astrophysicist associated with the Smithsonian Institute for many years) and two highly qualified Irish academics – Dr Michael Connolly and his son Dr Ronan Connolly. They have formed a climate research group CERES-SCIENCE. Their detailed research will be a challenge for the IPCC 7th Assessment Report due to be released in 2029 as their research results challenge the very foundations of IPCC science.

The climate warming trend published by the IPCC is a continually updated graph based on the temperature records of Northern Hemisphere land surface temperature stations dating from the mid 19th Century. The latest IPCC 2021 report uses data for the period 1850-2018. The IPCC’s selection of Northern Hemisphere land surface temperature records is not in question and is justifiable. The Northern Hemisphere records provide the best database for this period. The Southern Hemisphere land temperature records are not that extensive and are sparse for the 19th and early 20th Century. It is generally agreed that the urban temperature data is significantly warmer than the rural data in the same region because of an urban warming bias. This bias is due to night-time surface radiation of the daytime solar radiation absorbed by concrete and bitumen. Such radiation leads to higher urban night-time temperatures than say in the nearby countryside. The IPCC acknowledges such a warming bias but alleges the increased effect is only 10 per cent and therefore does not significantly distort its published global warming trend lines.

Since 2018, Dr Soon and his partners have analysed the data from rural and urban temperature recording stations in China, the USA, the Arctic, and Ireland. The number of stations with reliable temperature records in these areas increased from very few in the mid-19th Century to around 4,000 in the 1970s before decreasing to around 2,000 by the 1990s. The rural temperature recording stations with good records peaked at 400 and are presently around 200.

Their analysis of individual stations needs to account for any variation in their exposure to the Sun due to changes in their location, OR shadowing due to the construction of nearby buildings, OR nearby vegetation growth. The analysis of rural temperature stations is further complicated as over time many are encroached by nearby cities. Consequently, the data from such stations needs to be shifted at certain dates from the rural temperature database to either an intermediate database or to a full urban database. Consequently, an accurate analysis of the temperature records of each recording station is a time-consuming task.

This new analysis of 4,000 temperature recording stations in China, the USA, the Arctic, and Ireland shows a warming trend of 0.89ºC per century in the urban stations that is 1.61 times higher that a warming trend of 0.55ºC per century in the rural stations. This difference is far more significant than the 10 per cent divergence between urban and rural stations alleged in the IPCC reports; a divergence explained by a potential flaw in the IPCC’s methodology. The IPCC uses a technique called homogenisation that averages the rural and urban temperatures in a particular region. This method distorts the rural temperature records as over 75 per cent of the temperature records used in this homogenisation methodology are urban stations. So, a methodology that attempts to statistically identify and correct some biases that may be in the raw data, in effect, leads to an urban blending of the rural dataset. This result is biased as it downgrades the actual values of each rural temperature station. In contrast, Dr Soon and his coworkers avoided homogenisation so the temperature trends they identify for each rural region are accurate as the rural data are not distorted by the readings from nearby urban stations.

The rural temperature trend measured by this new research is 0.55ºC per century and it indicates the Earth has warmed 0.9ºC since 1850. In contrast, the urban temperature trend measured by this new research is 0.89ºC per century and indicates a much higher warming of 1.5ºC since 1850. Consequently, a distorted urban warming trend has been used by the IPCC to quantify the warming of the whole of the Earth since 1850. The exaggeration is significant as the urban temperature record database used by the IPCC only represents the temperatures on 3-4 per cent of the Earth’s land surface area; an area less than 2 per cent of the Earth’s total surface area. During the next few years, Dr Willie Soon and his research team are currently analysing the meta-history of 800 European temperature recording stations. When this is done their research will be based on very significant database of Northern Hemisphere rural and urban temperature records from China, the USA, the Arctic, Ireland, and Europe.

This new research has unveiled another flaw in the IPCC‘s temperature narrative as trend lines in its revised temperature datasets are different from those published by the IPCC. For example, the rural records now show a marked warming trend in the 1930s and 1940s while there is only a slight warming trend in the IPCC dataset. The most significant difference is the existence of a marked cooling period in the rural dataset for the 1960s and 1970s that is almost absent in the IPCC’s urban dataset. This later divergence upsets the common narrative that rising carbon dioxide levels control modern warming trends. For, if carbon dioxide levels are the driver of modern warming, how can a higher rate of increasing carbon dioxide levels exist within a cooling period in the 1960s and 1970s while a lower increasing rate of carbon dioxide levels coincides with an earlier warming interval in the 1930s and 1940s? Or, in other words, how can carbon dioxide levels increasing at 1.7 parts per million per decade cause a distinct warming period in the 1930s and 1940s while a larger increasing rate of 10.63 parts per million per decade is associated with a distinct cooling period in the 1960s and 1970s! Consequently, the research of Willie Soon and his coworkers is discrediting, not only the higher rate of global warming trends specified in IPCC Reports, but also the theory that rising carbon dioxide levels explain modern warming trends; a lynchpin of IPCC science for the last 25 years.

Willie Soon and his coworkers maintain that climate scientists need to consider other possible explanations for recent global warming. Willie Soon and his coworkers point to the Sun, but the IPCC maintains that variations in Total Solar Irradiance (TSI) are over eons and not over shorter periods such as the last few centuries. For that reason, the IPCC point to changes in greenhouse gases as the most obvious explanation for global warming since 1850. In contrast, Willie Soon and his coworkers maintain there can be short-term changes in solar activity and, for example, refer to a period of no sunspot activity that coincided with the Little Ice Age in the 17th Century. They also point out there is still no agreed average figure for Total Solar Irradiance (TSI) despite 30 years of measurements taken by various satellites. Consequently, they contend research in this area is not settled.

The CERES-SCIENCE research project pioneered by Dr Willie Soon and the father-son Connolly team has questioned the validity of the high global warming trends for the 1850-present period that have been published by the IPCC since its first report in 1992. The research also queries the IPCC narrative that rising greenhouse gas concentrations, particularly carbon dioxide, are the primary driver of global warming since 1850. That narrative has been the foundation of IPCC climate science for the last 40 years. It will be interesting to see how the IPCC’s 7th Assessment Report in 2029 treats this new research that questions the very basis of IPCC’s climate science.

The paper is The Detection and Attribution of Northern Hemisphere Land Surface Warming (1850–2018) in Terms of Human and Natural Factors: Challenges of Inadequate Data. 

Abstract

A statistical analysis was applied to Northern Hemisphere land surface temperatures (1850–2018) to try to identify the main drivers of the observed warming since the mid-19th century. Two different temperature estimates were considered—a rural and urban blend (that matches almost exactly with most current estimates) and a rural-only estimate. The rural and urban blend indicates a long-term warming of 0.89 °C/century since 1850, while the rural-only indicates 0.55 °C/century. This contradicts a common assumption that current thermometer-based global temperature indices are relatively unaffected by urban warming biases.

Three main climatic drivers were considered, following the approaches adopted by the Intergovernmental Panel on Climate Change (IPCC)’s recent 6th Assessment Report (AR6): two natural forcings (solar and volcanic) and the composite “all anthropogenic forcings combined” time series recommended by IPCC AR6. The volcanic time series was that recommended by IPCC AR6. Two alternative solar forcing datasets were contrasted. One was the Total Solar Irradiance (TSI) time series that was recommended by IPCC AR6. The other TSI time series was apparently overlooked by IPCC AR6. It was found that altering the temperature estimate and/or the choice of solar forcing dataset resulted in very different conclusions as to the primary drivers of the observed warming.

Our analysis focused on the Northern Hemispheric land component of global surface temperatures since this is the most data-rich component. It reveals that important challenges remain for the broader detection and attribution problem of global warming: (1) urbanization bias remains a substantial problem for the global land temperature data; (2) it is still unclear which (if any) of the many TSI time series in the literature are accurate estimates of past TSI; (3) the scientific community is not yet in a position to confidently establish whether the warming since 1850 is mostly human-caused, mostly natural, or some combination. Suggestions for how these scientific challenges might be resolved are offered.

Mistake on CO2 Warming Effect

Thomas Allmendinger is a Swiss physicist educated at Zurich ETH whose practical experience is in the fields of radiology and elemental particles physics.  His complete biography is here.

His independent research and experimental analyses of greenhouse gas (GHG) theory over the last decade led to several published studies, including the latest summation The Real Origin of Climate Change and the Feasibilities of Its Mitigation, 2023, at Atmospheric and Climate Sciences journal. The paper is a thorough and detailed discussion of which I provide here the abstract and the excerpt describing the experiment.  Excerpts are in italics with my bolds and added images. Full post is Experimental Proof Nil Warming from GHGs.

Abstract

The actual treatise represents a synopsis of six important previous contributions of the author, concerning atmospheric physics and climate change. Since this issue is influenced by politics like no other, and since the greenhouse-doctrine with CO2 as the culprit in climate change is predominant, the respective theory has to be outlined, revealing its flaws and inconsistencies.

But beyond that, the author’s own contributions are focused and deeply discussed. The most eminent one concerns the discovery of the absorption of thermal radiation by gases, leading to warming-up, and implying a thermal radiation of gases which depends on their pressure. This delivers the final evidence that trace gases such as CO2 don’t have any influence on the behaviour of the atmosphere, and thus on climate.

But the most useful contribution concerns the method which enables to determine the solar absorption coefficient βs of coloured opaque plates. It delivers the foundations for modifying materials with respect to their capability of climate mitigation. Thereby, the main influence is due to the colouring, in particular of roofs which should be painted, preferably light-brown (not white, from aesthetic reasons).

It must be clear that such a drive for brightening-up the World would be the only chance of mitigating the climate, whereas the greenhouse doctrine, related to CO2, has to be abandoned. However, a global climate model with forecasts cannot be aspired to since this problem is too complex, and since several climate zones exist.

4. Thermal Gas Absorption Measurements

If the warming-up behaviour of gases has to be determined by temperature measurements, interference by the walls of the gas vessel should be regarded since they exhibit a significantly higher heat capacity than the gas does, which implicates a slower warming-up rate. Since solid materials absorb thermal radiation stronger than gases do, the risk exists that the walls of the vessel are directly warmed up by the radiation, and that they subsequently transfer the heat to the gas. And finally, even the thin glass-walls of the thermometers may disturb the measurements by absorbing thermal radiation.

By these reasons, quadratic tubes with a relatively large profile (20 cm) were used which consisted of 3 cm thick plates from Styrofoam, and which were covered at the ends by thin plastic foils. In order to measure the temperature course along the tube, mercury-thermometers were mounted at three positions (beneath, in the middle, and atop) whose tips were covered with aluminum foils. The test gases were supplied from steel cylinders being equipped with reducing valves. They were introduced by a connecter during approx. one hour, because the tube was not gastight and not enough consistent for an evacuation. The filling process was monitored by means of a hygrometer since the air, which had to be replaced, was slightly humid. Afterwards, the tube was optimized by attaching adhesive foils and thin aluminum foils (see Figure 13). The equipment and the results are reported in [21].

The initial measurements were made outdoor with twin-tubes in the presence of solar light. One tube was filled with air, and the other one with carbon-dioxide. Thereby, the temperature increased within a few minutes by approx. ten degrees till constant limiting temperatures were attained, namely simultaneously at all positions. Surprisingly, this was the case in both tubes, thus also in the tube which was filled with ambient air. Already this result delivered the proof that the greenhouse theory cannot be true. Moreover, it gave rise to investigate the phenomenon more thoroughly by means of artificial, better defined light.

Accordingly, the subsequent experiments were made using IR-spots with wattages of 50 W, 100 W and 150W which are normally employed for terraria (Figure 14). Particularly the IR-spot with 150 W lead to a considerably higher temperature increase of the included gas than it was the case when sunlight was applied, since its ratio of thermal radiation was higher. Thereby, variable impacts such as the nature of the gas could be evaluated.

Due to the results with IR-spots at different gases (air, carbon-dioxide, the noble gases argon, neon and helium), essential knowledge could be gained. In each case, the irradiated gas warmed up until a stable limiting temperature was attained. Analogously to the case of irradiated coloured solid plates, the temperature increased until the equilibrium state was attained where the heat absorption rate was identically equal with the heat emission rate.

As evident from the diagram in Figure 15, the initial observation made with sunlight was approved that pure carbon-dioxide was warmed up almost to the same degree as air does (whereby ambient air only scarcely differed from a 4:1 mixture between nitrogen and oxygen). Moreover, noble gases absorb thermal radiation, too. As subsequently outlined, a theoretical explanation could be found thereto.

Conclusion

Finally, the theoretically suggested dependency of the atmospheric thermal radiation intensity on the atmospheric pressure could be empirically verified by measurements at different altitudes, namely in Glattbrugg (430 m above sea level and on the top of the Furka-pass (2430 m above sea level), both in Switzerland, delivering a so-called atmospheric emission constant A ≈ 22 W·m−2•bar−1•K−0.5. It explained the altitude-paradox of the atmospheric temperature and delivered the definitive evidence that the atmospheric behavior, and thus the climate, does not depend on trace gases such as CO2. However, the atmosphere thermally reradiates indeed, leading to something similar to a Greenhouse effect. But this effect is solely due to the atmospheric pressure.

Mistake on Warming Prior to CO2 Rising

Changes in CO2 follow changes in global temperatures on all time scales, from last month’s observations to ice core datasets spanning millennia. Since CO2 is the lagging variable, it cannot logically be the cause of temperature, the leading variable. It is folly to imagine that by reducing human emissions of CO2, we can change global temperatures, which are obviously driven by other factors.  Most recent post on this:

10/2024 Update Recent Warming Spike Drives Rise in CO2

Mistake on Models Bias Against Natural Factors

In  2009, the iconic email from the Climategate leak included a comment by Phil Jones about the “trick” used by Michael Mann to “hide the decline,” in his Hockey Stick graph, referring to tree proxy temperatures  cooling rather than warming in modern times.  Now we have an important paper demonstrating that climate models insist on man-made global warming only by hiding the incline of natural warming in Pre-Industrial times.  The paper is From Behavioral Climate Models and Millennial Data to AGW Reassessment by Philippe de Larminat.  H/T No Tricks Zone. Excerpts in italics with my bolds.

Abstract

Context. The so called AGW (Anthropogenic Global Warming), is based on thousands of climate simulations indicating that human activity is virtually solely responsible for the recent global warming. The climate models used are derived from the meteorological models used for short-term predictions. They are based on the fundamental and empirical physical laws that govern the myriad of atmospheric and oceanic cells integrated by the finite element technique. Numerical approximations, empiricism and the inherent chaos in fluid circulations make these models questionable for validating the anthropogenic principle, given the accuracy required (better than one per thousand) in determining the Earth energy balance.

Aims and methods. The purpose is to quantify and simulate behavioral models of weak complexity, without referring to predefined parameters of the underlying physical laws, but relying exclusively on generally accepted historical and paleoclimate series.

Results. These models perform global temperature simulations that are consistent with those from the more complex physical models. However, the repartition of contributions in the present warming depends strongly on the retained temperature reconstructions, in particular the magnitudes of the Medieval Warm Period and the Little Ice Age. It also depends on the level of the solar activity series. It results from these observations and climate reconstructions that the anthropogenic principle only holds for climate profiles assuming almost no PCA neither significant variations in solar activity. Otherwise, it reduces to a weak principle where global warming is not only the result of human activity, but is largely due to solar activity.  Full post is here:

Climate Models Hide the Paleo Incline