Limitations of red noise in analysing Dansgaard-Oeschger events
During the last glacial period, climate records from the North Atlantic region exhibit a pronounced spectral component corresponding to a period of about 1470 years, which has attracted much attention. This spectral peak is closely related to the recurrence pattern of Dansgaard-Oeschger (DO) events....
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ftdoajarticles:oai:doaj.org/article:ba902206a6eb401faad17576b16148de 2023-05-15T16:00:03+02:00 Limitations of red noise in analysing Dansgaard-Oeschger events H. Braun P. Ditlevsen J. Kurths M. Mudelsee 2010-02-01T00:00:00Z https://doaj.org/article/ba902206a6eb401faad17576b16148de EN eng Copernicus Publications http://www.clim-past.net/6/85/2010/cp-6-85-2010.pdf https://doaj.org/toc/1814-9324 https://doaj.org/toc/1814-9332 1814-9324 1814-9332 https://doaj.org/article/ba902206a6eb401faad17576b16148de Climate of the Past, Vol 6, Iss 1, Pp 85-92 (2010) Environmental pollution TD172-193.5 Environmental protection TD169-171.8 Environmental sciences GE1-350 article 2010 ftdoajarticles 2022-12-31T13:40:46Z During the last glacial period, climate records from the North Atlantic region exhibit a pronounced spectral component corresponding to a period of about 1470 years, which has attracted much attention. This spectral peak is closely related to the recurrence pattern of Dansgaard-Oeschger (DO) events. In previous studies a red noise random process, more precisely a first-order autoregressive (AR1) process, was used to evaluate the statistical significance of this peak, with a reported significance of more than 99%. Here we use a simple mechanistic two-state model of DO events, which itself was derived from a much more sophisticated ocean-atmosphere model of intermediate complexity, to numerically evaluate the spectral properties of random (i.e., solely noise-driven) events. This way we find that the power spectral density of random DO events differs fundamentally from a simple red noise random process. These results question the applicability of linear spectral analysis for estimating the statistical significance of highly non-linear processes such as DO events. More precisely, to enhance our scientific understanding about the trigger of DO events, we must not consider simple "straw men" as, for example, the AR1 random process, but rather test against realistic alternative descriptions. Article in Journal/Newspaper Dansgaard-Oeschger events North Atlantic Directory of Open Access Journals: DOAJ Articles |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental pollution TD172-193.5 Environmental protection TD169-171.8 Environmental sciences GE1-350 |
spellingShingle |
Environmental pollution TD172-193.5 Environmental protection TD169-171.8 Environmental sciences GE1-350 H. Braun P. Ditlevsen J. Kurths M. Mudelsee Limitations of red noise in analysing Dansgaard-Oeschger events |
topic_facet |
Environmental pollution TD172-193.5 Environmental protection TD169-171.8 Environmental sciences GE1-350 |
description |
During the last glacial period, climate records from the North Atlantic region exhibit a pronounced spectral component corresponding to a period of about 1470 years, which has attracted much attention. This spectral peak is closely related to the recurrence pattern of Dansgaard-Oeschger (DO) events. In previous studies a red noise random process, more precisely a first-order autoregressive (AR1) process, was used to evaluate the statistical significance of this peak, with a reported significance of more than 99%. Here we use a simple mechanistic two-state model of DO events, which itself was derived from a much more sophisticated ocean-atmosphere model of intermediate complexity, to numerically evaluate the spectral properties of random (i.e., solely noise-driven) events. This way we find that the power spectral density of random DO events differs fundamentally from a simple red noise random process. These results question the applicability of linear spectral analysis for estimating the statistical significance of highly non-linear processes such as DO events. More precisely, to enhance our scientific understanding about the trigger of DO events, we must not consider simple "straw men" as, for example, the AR1 random process, but rather test against realistic alternative descriptions. |
format |
Article in Journal/Newspaper |
author |
H. Braun P. Ditlevsen J. Kurths M. Mudelsee |
author_facet |
H. Braun P. Ditlevsen J. Kurths M. Mudelsee |
author_sort |
H. Braun |
title |
Limitations of red noise in analysing Dansgaard-Oeschger events |
title_short |
Limitations of red noise in analysing Dansgaard-Oeschger events |
title_full |
Limitations of red noise in analysing Dansgaard-Oeschger events |
title_fullStr |
Limitations of red noise in analysing Dansgaard-Oeschger events |
title_full_unstemmed |
Limitations of red noise in analysing Dansgaard-Oeschger events |
title_sort |
limitations of red noise in analysing dansgaard-oeschger events |
publisher |
Copernicus Publications |
publishDate |
2010 |
url |
https://doaj.org/article/ba902206a6eb401faad17576b16148de |
genre |
Dansgaard-Oeschger events North Atlantic |
genre_facet |
Dansgaard-Oeschger events North Atlantic |
op_source |
Climate of the Past, Vol 6, Iss 1, Pp 85-92 (2010) |
op_relation |
http://www.clim-past.net/6/85/2010/cp-6-85-2010.pdf https://doaj.org/toc/1814-9324 https://doaj.org/toc/1814-9332 1814-9324 1814-9332 https://doaj.org/article/ba902206a6eb401faad17576b16148de |
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1766395925174943744 |