Please use this identifier to cite or link to this item: https://oar.tib.eu/jspui/handle/123456789/620
Files in This Item:
File SizeFormat 
cp-6-85-2010.pdf2,14 MBAdobe PDFView/Open
Title: Limitations of red noise in analysing Dansgaard-Oeschger events
Authors: Braun, H.Ditlevsen, P.Kurths, J.Mudelsee, M.
Publishers Version: https://doi.org/10.5194/cp-6-85-2010
Issue Date: 2010
Published in: Climate of the Past, Volume 6, Issue 1, Page 85-92
Publisher: München : European Geopyhsical Union
Abstract: 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.
Keywords: atmosphere-ocean coupling; Brownian motion; Dansgaard-Oeschger cycle; Last Glacial; paleoclimate; proxy climate record
DDC: 550
License: CC BY 3.0 Unported
Link to License: https://creativecommons.org/licenses/by/3.0/
Appears in Collections:Geowissenschaften



This item is licensed under a Creative Commons License Creative Commons