Hunting spectro-temporal information in unevenly spaced paleoclimate time series

18 p. 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 fi...

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Bibliographic Details
Main Author: Polanco, J.
Format: Report
Language:English
Published: Basque Centre for Climate Change/Klima Aldaketa Ikergai 2014
Subjects:
Online Access:http://hdl.handle.net/10810/14274
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spelling ftunivpaisvasco:oai:addi.ehu.es:10810/14274 2023-05-15T16:27:56+02:00 Hunting spectro-temporal information in unevenly spaced paleoclimate time series Polanco, J. 2014-10-24 http://hdl.handle.net/10810/14274 eng eng Basque Centre for Climate Change/Klima Aldaketa Ikergai BC3 Working Paper;2014-07 http://www.bc3research.org/index.php?option=com_wpapers&task=showdetails&idwpaper=79&Itemid=279&lang=en_EN http://hdl.handle.net/10810/14274 info:eu-repo/semantics/openAccess ©BC3 null info:eu-repo/semantics/workingPaper 2014 ftunivpaisvasco 2022-03-10T16:33:03Z 18 p. 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). Report Greenland ice core ADDI: Repositorio Institucional de la Universidad del País Vasco (UPV) Greenland
institution Open Polar
collection ADDI: Repositorio Institucional de la Universidad del País Vasco (UPV)
op_collection_id ftunivpaisvasco
language English
topic null
spellingShingle null
Polanco, J.
Hunting spectro-temporal information in unevenly spaced paleoclimate time series
topic_facet null
description 18 p. 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).
format Report
author Polanco, J.
author_facet Polanco, J.
author_sort Polanco, J.
title Hunting spectro-temporal information in unevenly spaced paleoclimate time series
title_short Hunting spectro-temporal information in unevenly spaced paleoclimate time series
title_full Hunting spectro-temporal information in unevenly spaced paleoclimate time series
title_fullStr Hunting spectro-temporal information in unevenly spaced paleoclimate time series
title_full_unstemmed Hunting spectro-temporal information in unevenly spaced paleoclimate time series
title_sort hunting spectro-temporal information in unevenly spaced paleoclimate time series
publisher Basque Centre for Climate Change/Klima Aldaketa Ikergai
publishDate 2014
url http://hdl.handle.net/10810/14274
geographic Greenland
geographic_facet Greenland
genre Greenland
ice core
genre_facet Greenland
ice core
op_relation BC3 Working Paper;2014-07
http://www.bc3research.org/index.php?option=com_wpapers&task=showdetails&idwpaper=79&Itemid=279&lang=en_EN
http://hdl.handle.net/10810/14274
op_rights info:eu-repo/semantics/openAccess
©BC3
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