Nicola Scafetta has a new paper (in long line of papers) on a semi-empirical model which has a better fit than Global Circulation Models (CGM) favored by the IPCC. We ought be careful not to read too much into it, but nor to ignore the message in it about the grand failure of the GCM’s. Scafetta used Fourier analysis to find six cycles, then uses those six cycles to produce a climate model he runs for as long as 2000 years which seems to match the best multiproxies. In terms of discovering the absolute truth about the climate, this is not an end-point way to use Fourier analysis, as it is just “curve fitting” With six flexible cycle frequencies (plus amplitude and phase) there are 18* 6 tuneable parameters, more than enough to model any wiggly line on a graph, and there are scores of astronomical cycles to pick from. *.[Nicola Scafetta replies to this below, pointing out he uses the “6 major detected astronomical oscillations”, and their phases are fixed. I am happy to be corrected. His model is more useful than I thought. Apologies for the misunderstanding. – Jo]
But Scafetta’s work suggests it’s madness not to pay […]
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