Spectral analysis of climate data
The complexity of climate variability on all time scales requires the use of several refined tools to unravel its primary dynamics from observations. Indeed, ideas from the theory of dynamical systems have provided new ways of interpreting the information contained in climatic time series. We review...
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Online Access: | http://hdl.handle.net/2078.1/46755 https://doi.org/10.1007/BF01931784 |
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ftunistlouisbrus:oai:dial.uclouvain.be:boreal:46755 2024-05-12T08:05:12+00:00 Spectral analysis of climate data Yiou, P Baert, E Loutre, Marie-France UCL 1996 http://hdl.handle.net/2078.1/46755 https://doi.org/10.1007/BF01931784 eng eng Kluwer Academic Publ boreal:46755 http://hdl.handle.net/2078.1/46755 doi:10.1007/BF01931784 urn:ISSN:0169-3298 urn:EISSN:1573-0956 info:eu-repo/semantics/restrictedAccess Surveys in Geophysics : an international review journal covering the entire field of geosciences and related areas, Vol. 17, no. 6, p. 619-663 (1996) spectral analysis geophysical time series analysis info:eu-repo/semantics/article 1996 ftunistlouisbrus https://doi.org/10.1007/BF01931784 2024-04-18T18:13:25Z The complexity of climate variability on all time scales requires the use of several refined tools to unravel its primary dynamics from observations. Indeed, ideas from the theory of dynamical systems have provided new ways of interpreting the information contained in climatic time series. We review the properties of several modem time series analysis methods. Those methods belong to four main classes: Fourier techniques (Blackman-Tukey and Multi-Taper), Maximum Entropy technique, Singular-spectrum techniques and wavelet analysis. Their respective advantages and limitations are illustrated by numerical experiments on synthetic time series. As climate data can be irregularly spaced in time, we also compare three interpolating methods on those time series. Those tests are aimed at showing the pitfalls of the blind use of mathematical or statistical techniques on climate data. We apply those methods to 'real' climatic data from temperature variations over the last century, and the Vostok ice core deuterium record over the last glacial cycle. Then we show how interpretations on the dynamics of climate can be derived on those time scales. Article in Journal/Newspaper ice core DIAL@USL-B (Université Saint-Louis, Bruxelles) Surveys in Geophysics 17 6 619 663 |
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Open Polar |
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DIAL@USL-B (Université Saint-Louis, Bruxelles) |
op_collection_id |
ftunistlouisbrus |
language |
English |
topic |
spectral analysis geophysical time series analysis |
spellingShingle |
spectral analysis geophysical time series analysis Yiou, P Baert, E Loutre, Marie-France Spectral analysis of climate data |
topic_facet |
spectral analysis geophysical time series analysis |
description |
The complexity of climate variability on all time scales requires the use of several refined tools to unravel its primary dynamics from observations. Indeed, ideas from the theory of dynamical systems have provided new ways of interpreting the information contained in climatic time series. We review the properties of several modem time series analysis methods. Those methods belong to four main classes: Fourier techniques (Blackman-Tukey and Multi-Taper), Maximum Entropy technique, Singular-spectrum techniques and wavelet analysis. Their respective advantages and limitations are illustrated by numerical experiments on synthetic time series. As climate data can be irregularly spaced in time, we also compare three interpolating methods on those time series. Those tests are aimed at showing the pitfalls of the blind use of mathematical or statistical techniques on climate data. We apply those methods to 'real' climatic data from temperature variations over the last century, and the Vostok ice core deuterium record over the last glacial cycle. Then we show how interpretations on the dynamics of climate can be derived on those time scales. |
author2 |
UCL |
format |
Article in Journal/Newspaper |
author |
Yiou, P Baert, E Loutre, Marie-France |
author_facet |
Yiou, P Baert, E Loutre, Marie-France |
author_sort |
Yiou, P |
title |
Spectral analysis of climate data |
title_short |
Spectral analysis of climate data |
title_full |
Spectral analysis of climate data |
title_fullStr |
Spectral analysis of climate data |
title_full_unstemmed |
Spectral analysis of climate data |
title_sort |
spectral analysis of climate data |
publisher |
Kluwer Academic Publ |
publishDate |
1996 |
url |
http://hdl.handle.net/2078.1/46755 https://doi.org/10.1007/BF01931784 |
genre |
ice core |
genre_facet |
ice core |
op_source |
Surveys in Geophysics : an international review journal covering the entire field of geosciences and related areas, Vol. 17, no. 6, p. 619-663 (1996) |
op_relation |
boreal:46755 http://hdl.handle.net/2078.1/46755 doi:10.1007/BF01931784 urn:ISSN:0169-3298 urn:EISSN:1573-0956 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1007/BF01931784 |
container_title |
Surveys in Geophysics |
container_volume |
17 |
container_issue |
6 |
container_start_page |
619 |
op_container_end_page |
663 |
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1798847474168758272 |