Scroll down for the video of my buddy Brian of London who has a PhD in computer modeling which validates what Delingpole is saying. Brian, while not a major in mathematics, had his math defended by no less than a Nobel Laureate in mathematics during the dissertation of his (Brian’s) thesis. Brian’s PhD thesis upended all standard computer modeling formula that form the basis of so called man-made global warming science.
Delingpole: Man-Made Climate Catastrophe Is a Myth, More Studies Confirm
From the world of science – as opposed to grant-troughing junk science – two more studies confirming that the man-made global warming scare is a myth.
One, a study by Scafetta et al, published in International Journal of Heat and Technology, confirms that the “Pause” in global warming is real – and that “climate change” is much more likely the result of natural, cyclical fluctuations than man-made CO2 emissions.
The period from 2000 to 2016 shows a modest warming trend that the advocates of the anthropogenic global warming theory have labeled as the “pause” or “hiatus.” These labels were chosen to indicate that the observed temperature standstill period results from an unforced internal fluctuation of the climate (e.g. by heat uptake of the deep ocean) that the computer climate models are claimed to occasionally reproduce without contradicting the anthropogenic global warming theory (AGWT) paradigm. In part 1 of this work, it was shown that the statistical analysis rejects such labels with a 95% confidence because the standstill period has lasted more than the 15 year period limit provided by the AGWT advocates themselves. Anyhow, the strong warming peak observed in 2015-2016, the “hottest year on record,” gave the impression that the temperature standstill stopped in 2014. Herein, the authors show that such a temperature peak is unrelated to anthropogenic forcing: it simply emerged from the natural fast fluctuations of the climate associated to the El Niño–Southern Oscillation (ENSO) phenomenon. By removing the ENSO signature, the authors show that the temperature trend from 2000 to 2016 clearly diverges from the general circulation model (GCM) simulations. Thus, the GCMs models used to support the AGWT are very likely flawed. By contrast, the semi-empirical climate models proposed in 2011 and 2013 by Scafetta, which are based on a specific set of natural climatic oscillations believed to be astronomically induced plus a significantly reduced anthropogenic contribution, agree far better with the latest observations.
Note also that it says the computer-modelled predictions of climate doom relied on by all global warming alarmists to support their thesis are wrong.
The second study, by Hodgkins et al, published in the Journal of Hydrology, concerns flooding in North America and Europe.
What it shows is that, contrary to the claims often made by climate alarmists, there has been NO increase in flooding due to “global warming” or “climate change.”
Flooding events, it shows, have more to do with chance than any noticeable long term trend. It finds no link between flooding and “global warming.”