Hunting spectro-temporal information in unevenly spaced paleoclimate time series

dc.contributor.author	Polanco, J.	es
dc.date.accessioned	2015-01-23T10:36:58Z
dc.date.available	2015-01-23T10:36:58Z
dc.date.issued	2014-10-24	es
dc.identifier.uri	http://hdl.handle.net/10810/14274
dc.description	18 p.	es
dc.description.abstract	Here we present some preliminary results of a statistical–computational implementation to estimate the wavelet spectrum of unevenly spaced paleoclimate time series by means of the Morlet Weighted Wavelet Z-Transform (MWWZ). A statistical significance test is performed against an ensemble of first-order auto-regressive models (AR1) by means of Monte Carlo simulations. In order to demonstrate the capabilities of this implementation, we apply it to the oxygen isotope ratio (?18O) data of the GISP2 deep ice core (Greenland).	es
dc.language.iso	eng	es
dc.publisher	Basque Centre for Climate Change/Klima Aldaketa Ikergai	es
dc.relation.ispartofseries	BC3 Working Paper;2014-07	es
dc.rights	info:eu-repo/semantics/openAccess	es
dc.subject	null	es
dc.title	Hunting spectro-temporal information in unevenly spaced paleoclimate time series	es
dc.type	info:eu-repo/semantics/workingPaper	es
dc.rights.holder	©BC3	es
dc.relation.publisherversion	http://www.bc3research.org/index.php?option=com_wpapers&task=showdetails&idwpaper=79&Itemid=279&lang=en_EN	es