Climate spectrum estimation in the presence of timescale errors

Mudelsee, M.; Scholz, D.; Röthlisberger, R.; Fleitmann, Dominik; Mangini, A.; Wolff, E.W. (2009). Climate spectrum estimation in the presence of timescale errors. Nonlinear processes in geophysics, 16(1), pp. 43-56. Göttingen: Copernicus Publications 10.5194/npg-16-43-2009

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We introduce an algorithm (called REDFITmc2) for spectrum estimation in the presence of timescale errors. It is based on the Lomb-Scargle periodogram for unevenly spaced time series, in combination with the Welch's Overlapped Segment Averaging procedure, bootstrap bias correction and persistence estimation. The timescale errors are modelled parametrically and included in the simulations for determining (1) the upper levels of the spectrum of the red-noise AR(1) alternative and (2) the uncertainty of the frequency of a spectral peak. Application of REDFITmc2 to ice core and stalagmite records of palaeoclimate allowed a more realistic evaluation of spectral peaks than when ignoring this source of uncertainty. The results support qualitatively the intuition that stronger effects on the spectrum estimate (decreased detectability and increased frequency uncertainty) occur for higher frequencies. The surplus information brought by algorithm REDFITmc2 is that those effects are quantified. Regarding timescale construction, not only the fixpoints, dating errors and the functional form of the age-depth model play a role. Also the joint distribution of all time points (serial correlation, stratigraphic order) determines spectrum estimation.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Geological Sciences

UniBE Contributor:

Fleitmann, Dominik

Subjects:

500 Science > 550 Earth sciences & geology

ISSN:

1023-5809

Publisher:

Copernicus Publications

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 15:25

Last Modified:

26 Jun 2016 01:45

Publisher DOI:

10.5194/npg-16-43-2009

Web of Science ID:

000263838000005

BORIS DOI:

10.7892/boris.38577

URI:

https://boris.unibe.ch/id/eprint/38577 (FactScience: 222434)

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