My paper on the statistics of “global warming” has been accepted by Energy and Environment.
The good bits are as follows:
In recent decades energy policy, both nationally and internationally, has been primarily concerned with the reduction in carbon emissions from the combustion of fossil fuels. This has arisen from a proliferation of theories of climate, encapsulated in complex numerical models, which purport to relate global surface air temperature to the concentration of carbon dioxide in the atmosphere. All this activity is based on a single empirical observation, viz.: that there has been a significant increase in global average temperature over the last century and a half. Here we show that this observation is false and is based on an overly-simplistic interpretation of the data.
(Nine pages of technical stuff)
The process which gives rise to a red spectrum flattened below a cut-off frequency is widely found in engineering and in nature. In electronics it occurs when electronic noise is fed through an RC integrator as with the bass control of an audio amplifier. In the natural world it occurs when energy is randomly stored. It is a particular sort of Markov process termed a “centrally biased random walk” and known colloquially as “red noise”. Using the techniques described above other “oscillations” such as the Pacific Decade Oscillation can also be shown to be centrally biased random walks specified by a small number of ARMA parameters. This is not surprising since the PDO is derived from a large subset of the global average temperature data used here.
The small increase in global average temperature observed over the last 166 years is the random variation of a centrally biased random walk. It is a red noise fluctuation. It is not significant, it is not a trend and it is not likely to continue.
The full paper can be downloaded here.