
Fig. 1: the latest UAH global temperature subset satellite-based latest global warming data (credit: Dr Roy Spencer).
According to all IPCC greenhouse effect models, air warmed due to sunlight absorption by increasing atmospheric CO2 causes increased water evaporation, which itself is assumed to have a bigger warming effect than CO2 itself. This is the “positive feedback” assumption, essential to all IPCC climate change models. However, this assumption contravenes Archimedes’ law of buoyancy. Archimedes’ law shows that if the tiny temperature rise from the tiny increase in CO2 causes an increase in water evaporation and the evaporated water (humid air) then absorbs infrared and warms up, it should rise buoyantly, so that the average amount of cloud cover increases, which shadows the surface and causes overall negative feedback. Figure 1 shows microwave oxygen temperature measurements for the lower atomsphere (troposphere), and does not show surface temperatures where the surface is under cloud cover, which is the only situation where negative feedback could be detected in real world data:
Therefore, Figure 1 exaggerates the global warming at the surface, where increased cloud cover (negative feedback from H2O) opposes and essentially offsets CO2 induced temperature rises. Air near the upper (sunlight reflecting) layer of clouds is heated and warmed up because infrared (long wavelengths) are absorbed by the upper parts of a cloud, but the air below clouds is cooled down. There is no way for a satellite to measure surface temperatures below clouds: they have two methods of measuring temperature and neither penetrates cloud cover effectively. One is the microwave emissions from oxygen (which is distributed through the atmosphere, above and below clouds) and the other is the Planck radiating spectrum which will only measure surface temperatures if and when there is no cloud cover obscuring the surface (otherwise it tells you the temperature of the upper parts of the cloud cover).

Fig. 2: a comparison of direct surface Planck temperature measurements which are not possible through cloud cover (which are therefore limited to clear skies, which rules out the inclusion of negative feedback data and ensures only positive feedback from H2O can be included), with the UAH/RSS tropospheric oxygen microwave emission temperature. There is a very close fit, as you would expect. None of the data curves are true surface temperature, because none include negative feedback from shadows on the surface caused by evaporated water which has been heated by sunshine and buoyantly risen by Archimedes’s law to high altitudes, gradually forming extra cloud cover. As soon as the clouds form, the satellites cannot measure surface temperatures from cloud-cover areas, so negative feedback data is always excluded.
The deceit in this graph is two-fold. First, satellites cannot by any means measure negative feedback effects which only occur under cloud cover, so they are biased in favour of clear skies where H2O feedback on CO2 can only ever be positive. Second, the straight line through the data points is deliberately misleading.

Fig. 3: negative feedback (increased cloud cover) implies that surface temperatures – if detected under clouds without positive feedback bias in satellite data – increases with CO2 induced temperature until it cancels out further temperature rises. The sky becomes slightly more cloudy to compensate for CO2: a self-regulation mechanism like a thermostat as far as the surface is concerned. This negative feedback effect can never be seen properly in existing satellite data, which either average the air temperature of the entire height of the troposphere, which obscures the negative feedback in the smaller height of air under the clouds (microwave oxygen emission sensors) or else exclude negative feedback data altogether by just measuring the Planck temperature of the surface in cloud-free clear skies (which automatically excludes all negative feedback effects from cloud cover).
The temperature proxy data is all a fraud: before 1960 tree ring growth must be used as a proxy despite its failure to correlate to direct temperature measurements after 1960 (leading to the “hide the decline” Phil Jones/Michael Mann IPCC hockey stick curve). It’s clear why tree ring growth isn’t a reliable proxy: trees simply don’t grow as a function of temperature variations alone. The amounts of cloud cover and rainfall sensitively determine growth, so it is a falsehood to first assume temperature is the only variable, and then to turn this assumption concerning data interpretation into “evidence” that somehow defends the assumption in the first place. From 1960 until satellite data arrived in 1980, they used weather station data affected by “urban heat island” hot air pollution from nearby growing cities which has nothing to do with the CO2 greenhouse effect but conveniently gives data which can be manipulated to contribute to a hockey stick curve. So the IPCC choose different unreliable data sources that fit to different parts of a curve that mimicks the CO2 rise curve, and then join them together, omitting the parts of the temperature proxy data which did not convey the intended correlation.
Summary: all IPCC climate models assume H2O causes positive feedback which amplifies a tiny amount of warming from CO2 into a major problem. This assumption is only valid if Archimedes law of buoyancy (the rising of infrared heated moist air to condense and form clouds) is ignored. They give no reason for ignoring buoyancy. The greenhouse effect is exactly what the IPCC models assume, but the earth isn’t a greenhouse because clouds form in the earth (not in a greenhouse) in response to temperature-dependent ocean water evaporation, and the clouds shadow the surface and thus have a cooling, negative feedback effect. This negative feedback can’t be seen in the Planck spectrum surface temperature instruments in satellites because they can’t see see through cloud cover. Although the microwave sensors in satellites do respond in part to oxygen temperatures below clouds, they obfuscate negative feedback by averaging the temperature of all the oxygen in the troposphere including positive feedback from air near the upper (sunlight heated) parts of clouds. Using a greenhouse with a cloud cover preventing glass ceiling as a model for the earth is a lie. The earth doesn’t have a glass ceiling to prevent increasing cloud cover from increasingly CO2 heated ocean evaporation. All IPCC models and data are frauds. Clearly, there is a small CO2 temperature rise from CO2 alone, but this causes an increase in cloud cover which largely offsets this. The IPCC lie is to assume falsely that climatic cloud cover is independent of temperature, and then to fiddle the data to coincide with the false predictions from its wide array of false models.
Sure the climate is changing and CO2 is increasing, but the climate is always changing so there is 50% chance of rising temperatures, and 50% chance of falling temperatures at any time in history. In the 1970s, fanatical experts sought funding for a scare story that predicted a new ice age due to falling temperatures caused by pollution blocking out sunlight. Now it’s the opposite. But the CO2-temperature correlation is qualitatively meaningless because there is a massive 50% chance by sheer coincidence that temperatures will be rising like CO2, and the correlation is quantitatively a fiddle because there is no reliable data that properly includes negative feedback for the whole planet (i.e. surface temperatures, under cloud cover).
People need to be told:
(1) that the earth is not a greenhouse because cloud cover increases and cools the earth (cancelling most of the CO2 effect, not amplifying it) as the oceans are warmed slightly by CO2 in the atomsphere (something that does not happen inside a greenhouse, because they don’t have oceans and clouds in them), and
(2) satellite data on temperatures either use clear sky area Planck spectrum data or else average the oxygen microwave emissions from the entire troposphere and thus exclude the cloud cover. In neither case does the satellite data include negative feedback on surface temperatures from increasing cloud cover overhead. So the satellite data is all biased against including observed negative feedback from H2O, and only including positive feedback from H2O in the early stage of heating (which occurs over the oceans prior to the development of cloud cover). There is absolutely no evidence for the massive amplification of temperature rise by H2O positive feedback assumed in all IPCC CO2 scare mongering computer models, while there is objective evidence (from both Archimedes’ buoyancy of infrared warmed moist air, and from Spencer’s negative feedback cloud cover evidence) that this assumption is false. Liars conflate this false assumption with half-baked data which is misinterpreted using this false assumption, and then pass off this abuse of data as evidence to substantiate the false assumption (an entirely circular argument, just like claiming the sun’s apparent motion across the sky proves that the sun orbits the earth daily). (Don’t get me wrong: we’re only biased against quackery and nobody has ever published any scientific evidence for positive feedback from H2O which is reliable, and disproves Archimedes’ law of buoyancy.)
