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24
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Natural Variation vs Human Influence
Posted by David Stockwell in All
Table of contents for Natural Variation
One simple way to separate the influence of humans from natural variation is to fit a simple linear regression containing sinusoidal terms, as shown in previous posts.
The figure below shows the result: linear (dotted red), periodic (dashed red) and their sum (solid red) applied to global temperature data sets (A) GISS and (B) HadCRUT and (C) to a selection of simulation models.
Two sinusoidals of period 21 and 63 years were used, but the phase, or start and end points, were not determined. The model fit results in the lowest points of both oscillations around 1976 (the Great Pacific Climate Shift???) and the highest point just after 2000. Interestingly the period of 21 years is an odd multiple of 63 years which allows the amplitudes to be reinforced.
Its also clear that the climate models have much lower natural variation than observed in Nature. Admittedly, these are averaged results from a selection of models in the KNMI data center, and individual runs show more variation. The lack of variation is a combination of both lack of calibration of climate models with the phase of observed climate oscillations, and the deficit of decadal variation.
An underlying linear increase in these equations is a paltry 0.05C/decade. This linear increase is all that can potentially be attributed to anthropogenic factors: CO2, methane, and Urban Heat Island effects.
This illustration demonstrates the short-sightedness of ignoring natural variation, and the bias introduced by presenting trends beginning around 1950, when temperature increased at about a rate of 0.15C/decade to 2000. This simple empirical model suggests natural variation could have contributed around 0.1C/decade over that period, significantly exceeding the linear trend.
- Published by David Stockwell in: All
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