An index for climate change: a multivariate time series approach
Article first published online: 1 OCT 2012
Copyright © 2012 John Wiley & Sons, Ltd.
Volume 23, Issue 7, pages 617–622, November 2012
How to Cite
Rincón, F. A. (2012), An index for climate change: a multivariate time series approach. Environmetrics, 23: 617–622. doi: 10.1002/env.2171
- Issue published online: 24 OCT 2012
- Article first published online: 1 OCT 2012
- Manuscript Accepted: 3 SEP 2012
- Manuscript Revised: 10 AUG 2012
- Manuscript Received: 5 DEC 2011
- spectral envelope;
- band-pass filter;
- spectral analysis;
- climate change
The analysis of environmental data represents an opportunity to use statistical tools to provide a better understanding of changes over time, being necessary to combine nontraditional approaches looking for the best way to capture patterns or trends. Throughout this paper, multivariate time series methodologies are presented to build an index to measure climate change; the analysis was carried out over nine meteorological time series for the period 1978–2002. The index was built using a spectral envelope approach combined with the use of band-pass filters, allowing to identify changes over the period observed as well as the main meteorological variables. Copyright © 2012 John Wiley & Sons, Ltd.