Time series analysis is applied to the mean UK summer temperatures provided by the UK MET Office. First, the statistical significance of the data is determined by comparing with the mean and standard deviation of the whole time series and using the Wald Wolfowitz Runs Test. On this basis, only the rising trend in the last decade or so (> 2009) is possibly significant.
This trend is then compared with various potential causes: atmospheric CO2, global carbon emissions, China carbon emissions etc. By detrending, using first differences, and computing the cross-correlation function, or CCF, only offshore wind generating capacity gives a significant level of cross-correlation in the CCF. The cross-correlation persists when a different method of detrending is used and autocorrelation is taken into account using the Cochrane-Orcutt procedure. Hence, if the rising trend is significant, the hypothesis that it is associated with offshore wind generating capacity cannot be rejected.
It follows from a consideration of wind turbine wake dynamics using Bernouilli’s principle that extracting large amounts of energy must lead to low pressure down wind of the turbines. With prevailing westerly winds and largely offshore wind farms, this means the creation of a low pressure region in the North Sea. Perhaps this low pressure region, sucking hot air from Africa, provides a mechanism for the increase in the mean UK summer temperature? It might also account for the Cerberus heat wave in 2023 and Sahara dust. Hence our attempts at mitigating anthropogenic climate change might be causing deleterious changes in weather patterns.