The scientific article on atmospheric data that no TV news will ever tell you about
There is one climate study that you won't find publicized in the mainstream media, yet important in its content. This is a new work published in the Journal of Geophysical Research-Atmospheres by a group of scientists from the US National Oceanic and Atmospheric Administration (NOAA), led by Cheng-Zhi Zou, which presents a new satellite-derived temperature database for the global troposphere (the atmospheric layer from one kilometer up to about 10 km in altitude).
This troposphere climate database has been much discussed for two reasons. First, it's where climate models say the warming effect from greenhouse gases (GHGs) will be strongest, especially in the middle troposphere. However, this area is not directly influenced by urbanization, as is the height of the ground, so it is a valid indicator for measuring the real rise in temperatures,
Since the 1990s, satellite and weather balloon records have shown that climate models predict excessive warming . In a 2020 paper, John Christy of the University of Alabama-Huntsville (UAH) and I looked at the results of the 38 most recent climate models and compared their tropospheric global warming rates from 1979 to 2014 with observations satellites and weather balloons. All 38 showed excessive heating and in most cases the differences were statistically significant. This indicates the presence of a structural error in the climate models, which overestimated the influence of greenhouse gases.
What happens when the data does not satisfy the desire of those in charge? The data is simply changed. The UAH observations didn't satisfy the global warming hunger, so a private company, Remote Sensing Systems, under the guise of a small error in the UAH model, creates a data collection model that coincidentally satisfied the global warming need. And this despite the fact that a new corrected UAH model still showed no warming. In order to achieve this result, RSS corrected the drift in the position of the satellites based on its own climate model. He basically placed the satellites to satisfy the preconception that there was overheating anyway. UAH instead corrected the drift of the satellites on an empirical basis, obtaining different results. Another problem arose when a satellite was replaced by another which, however, was in a slightly different position and whose correction can lead to different detected data.
In the end, the two series were similar, but RSS consistently showed more warming than UAH. A little over a decade ago, the NOAA group led by Zou produced a new data product called STAR (Satellite Applications and Research). They used the same basic microwave data, but produced a temperature database that showed much greater warming than UAH or RSS, as well as all the weather balloon records. These data appeared to be consistent with warming models, but these data also needed reinterpretation. Now in a new paper, Zou and his co-authors have reconstructed the STAR series based on a new empirical method for eliminating the drift of observations over time and a more stable method for merging satellite records. Now STAR agrees very well with the UAH series, indeed it has a slightly lower warming trend. The old STAR series had a warming trend of the mean troposphere of 0.16 degrees Celsius per decade, but it is now 0.09 degrees Celsius per decade, compared to 0.1 for UAH and 0.14 for RSS. The average data has practically halved.
Zou's team notes that its findings " have strong implications for trends in climate model simulations and other observations " because the atmosphere warmed at half the average rate predicted by climate models over the same period. Furthermore, the findings are “consistent with the conclusions of McKitrick and Christy (2020),” that climate models have a pervasive bias on global warming. In other research, Christy and mathematician Richard McNider have shown that satellite warming rates imply that the climate system may be only half as sensitive to greenhouse gases as the average model used by the IPCC, an Intergovernmental Panel on Climate Research, to project future warming.
Of course you will NEVER know from the mainstream media the results of this research, partly because they are complex and would require reasoning beyond the capabilities of the average government Yesman, partly because they contradict the Bible of the IPCC, the intergovernmental weather warning group. But the science of the IPCC, made up of certainties, is the exact contradiction of real science: while the second puts theories in competition to explain the data, the first, sponsored by governments, tries to adapt the data to its own theories.
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The article The scientific article on atmospheric data that no news program will ever tell you about comes from Scenari Economici .
This is a machine translation of a post published on Scenari Economici at the URL https://scenarieconomici.it/larticolo-scientifico-sui-dati-atmosferici-di-cui-nessun-telegiornale-vi-parlera-mai/ on Mon, 24 Apr 2023 19:59:50 +0000.