Table of Contents
International Scholarly Research Notices
Volume 2014 (2014), Article ID 161530, 9 pages
Research Article

Application of Signal Analysis to the Climate

1Center for Electronics, Optoelectronics and Telecommunications, Faculty of Science and Technology, University of the Algarve, 8005-139 Faro, Portugal
2Center of Studies in Chemistry of the Algarve, Faculty of Science and Technology, University of the Algarve, 8005-139 Faro, Portugal

Received 9 April 2014; Accepted 14 July 2014; Published 29 October 2014

Academic Editor: Angelo de Santis

Copyright © 2014 Peter Stallinga and Igor Khmelinskii. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The primary ingredient of the Anthropogenic Global Warming hypothesis, namely, the assumption that additional atmospheric carbon dioxide substantially raises the global temperature, is studied. This is done by looking at the data of temperature and CO2, both in the time domain and in the phase domain of periodic data. Bicentenary measurements are analyzed and a relaxation model is introduced in the form of an electronic equivalent circuit. The effects of this relaxation manifest themselves in delays in the time domain and correlated phase shifts in the phase domain. For extremely long relaxation time constants, the delay is maximally one-quarter period, which for the yearly-periodic signal means 3 months. This is not in line with the analyzed data, the latter showing delays of 9 (−3) months. These results indicate a reverse function of cause and effect, with temperature being the cause for atmospheric CO2 changes, rather than their effect. These two hypotheses are discussed on basis of literature, where it was also reported that CO2 variations are lagging behind temperature variations.