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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Basque Centre for Climate Change/Klima Aldaketa Ikergai
2014
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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 |
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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 |
_version_ |
1766017540976279552 |