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Nicola Scafetta: High resolution coherence analysis between planetary and climate oscillations
Image credit: NASA
Note from the author: I am sending you my new paper. It has been just published.
Scafetta, N.: High resolution coherence analysis between planetary and climate oscillations.
Advances in Space Research 57, 2121-2135, 2016.
DOI: 10.1016/j.asr.2016.02.029
To help access and share the article, there is the following article link, which will provide free access to the article until June 9, 2016.
http://authors.elsevier.com/a/1SvYs~6OiTa4q
Abstract
This study investigates the existence of a multi-frequency spectral coherence between planetary and global surface temperature oscillations by using advanced techniques of coherence analysis and statistical significance tests. The performance of the standard Matlab mscohere algorithms is compared versus high resolution coherence analysis methodologies such as the canonical correlation analysis. The Matlab mscohere function highlights large coherence peaks at 20 and 60-year periods although, due to the shortness of the global surface temperature record (1850–2014), the statistical significance of the result depends on the specific window function adopted for preprocessing the data. In fact, window functions disrupt the low frequency component of the spectrum. On the contrary, using the canonical correlation analysis at least five coherent frequencies at the 95% significance level are found at the following periods: 6.6, 7.4, 14, 20 and 60 years. Thus, high resolution coherence analysis confirms that the climate system can be partially modulated by astronomical forces of gravitational, electromagnetic and solar origin. A possible chain of the physical causes explaining this coherence is briefly discussed.
Source: https://tallbloke.wordpress.com/2016/04/22/nicola-scafetta-high-resolution-coherence-analysis-between-planetary-and-climate-oscillations/
