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New significance test methods for Fourier analysis of geophysical time series
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
2011 (English)In: Nonlinear processes in geophysics, ISSN 1023-5809, E-ISSN 1607-7946, Vol. 18, no 5, 643-652 p.Article in journal (Refereed) Published
Abstract [en]

When one applies the discrete Fourier transform to analyze finite-length time series, discontinuities at the data boundaries will distort its Fourier power spectrum. In this paper, based on a rigid statistics framework, we present a new significance test method which can extract the intrinsic feature of a geophysical time series very well. We show the difference in significance level compared with traditional Fourier tests by analyzing the Arctic Oscillation (AO) and the Nino3.4 time series. In the AO, we find significant peaks at about 2.8, 4.3, and 5.7 yr periods and in Nino3.4 at about 12 yr period in tests against red noise. These peaks are not significant in traditional tests.

Place, publisher, year, edition, pages
2011. Vol. 18, no 5, 643-652 p.
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:uu:diva-163254DOI: 10.5194/npg-18-643-2011ISI: 000296743300011OAI: oai:DiVA.org:uu-163254DiVA: diva2:464426
Available from: 2011-12-13 Created: 2011-12-09 Last updated: 2017-12-08Bibliographically approved

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Moore, John

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