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A great source of information on the ‘Climate Model’ used by politicians to scam us! Should we be surprised how the wool was pulled over our eyes? 

 

The scientists who believe in the carbon dioxide theory of global warming do so essentially because of the application of “basic physics” to climate, by a model that is ubiquitous and traditional in climate science. This model is rarely named, but is sometimes referred to as the “forcing-feedback framework or paradigm.” Explicitly called the “forcing-feedback model” (FFM) here, this pen-and-paper model estimates the sensitivity of the global temperature to increasing carbon dioxide.

The FFM has serious architectural errors. Fixing the architecture, while keeping the physics, shows that future warming due to increasing carbon dioxide will be a fifth to a tenth of current official estimates. Less than 20% of the global warming since 1973 was due to increasing carbon dioxide.

The large computerized climate models (GCMs) are indirectly tailored to compute the same sensitivity to carbon dioxide as the FFM. Both explain 20th century warming as driven mostly by increasing carbon dioxide.

Increasing carbon dioxide traps more heat. But that heat mainly just reroutes to space from water vapor instead. This all happens high in the atmosphere, so it has little effect on the Earth’s surface, where we live. Current climate models omit this rerouting. Rerouting cannot occur in the FFM, due to its architecture—rerouting is in its blindspot.

http://sciencespeak.com/climate-basic.html

http://joannenova.com.au/2015/09/new-science-1-pushing-the-edge-of-climate-research-back-to-the-new-old-way-of-doing-science/

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13 hours ago, Canuck100 said:

A great source of information on the ‘Climate Model’ used by politicians to scam us! Should we be surprised how the wool was pulled over our eyes? 

 

The scientists who believe in the carbon dioxide theory of global warming do so essentially because of the application of “basic physics” to climate, by a model that is ubiquitous and traditional in climate science. This model is rarely named, but is sometimes referred to as the “forcing-feedback framework or paradigm.” Explicitly called the “forcing-feedback model” (FFM) here, this pen-and-paper model estimates the sensitivity of the global temperature to increasing carbon dioxide.

 

Here is a site you might want to check out.  https://www.skepticalscience.com/argument.php

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The impact of CO2 on global temperature was first quantified by Svante Arrhenius is 1895. He quantified the magnitude of warming by CO2 at 4 degrees C per doubling of warming. Arrhenius' back-of-the-envelope calculations using basic physics gave an estimate that is very similar to modern estimates, be they based on instrumental observations, paleoclimate data, or general climate models.

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  • 5 months later...

I have difficulty believing that guys like this don’t understand anything about physics:

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Mann was born in 1965, and brought up in Amherst, Massachusetts, where his father was a professor of mathematics at the University of Massachusetts. At school he was interested in math, science, and computing. In August 1984 he went to the University of California, Berkeley, to major in physics with a second major in applied math. His second year research in the theoretical behaviour of liquid crystals used the Monte Carlo method applying randomness in computer simulations. Late in 1987 he joined a research team under Didier de Fontaine which was using similar Monte Carlo methodology to investigate the superconducting properties of yttrium barium copper oxide, modelling transitions between ordered and disordered phases.[9] He graduated with honors in 1989 with an A.B. in applied mathematics and physics.[1]

Mann then attended Yale University, intending to obtain a PhD in physics, and received both an MS and an MPhil in physics in 1991. His interest was in theoretical condensed matter physics but he found himself being pushed towards detailed semiconductor work. He looked at course options with a wider topic area, and was enthused by PhD adviser Barry Saltzmanabout climate modelling and research. To try this out he spent the summer of 1991 assisting a postdoctoral researcher in simulating the period of peak Cretaceous warmth when carbon dioxide levels were high, but fossils indicated most warming at the poles, with little warming in the tropics. Mann then joined the Yale Department of Geology and Geophysics, obtaining an MPhil in geology and geophysics in 1993. His research focused on natural variability and climate oscillations. He worked with the seismologist Jeffrey Park, and their joint research adapted a statistical method developed for identifying seismological oscillations to find various periodicities in the instrumental temperature record, the longest being about 60 to 80 years. The paper Mann and Park published in December 1994 came to similar conclusions to a study developed in parallel using different methodology and published in January of that year, which found what was later called the Atlantic multidecadal oscillation.[10]

https://en.m.wikipedia.org/wiki/Michael_E._Mann

 

 

 

 

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