New significance test methods for Fourier analysis of geophysical time series
Abstract. 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 intrin...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.1055.789 2023-05-15T15:00:11+02:00 New significance test methods for Fourier analysis of geophysical time series Z Zhang J Moore The Pennsylvania State University CiteSeerX Archives 2011 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1055.789 http://kaares.ulapland.fi/home/hkunta/jmoore/pdfs/zhange_moore_npg.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1055.789 http://kaares.ulapland.fi/home/hkunta/jmoore/pdfs/zhange_moore_npg.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://kaares.ulapland.fi/home/hkunta/jmoore/pdfs/zhange_moore_npg.pdf text 2011 ftciteseerx 2020-04-12T00:22:10Z Abstract. 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. Text Arctic Unknown Arctic |
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description |
Abstract. 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. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Z Zhang J Moore |
spellingShingle |
Z Zhang J Moore New significance test methods for Fourier analysis of geophysical time series |
author_facet |
Z Zhang J Moore |
author_sort |
Z Zhang |
title |
New significance test methods for Fourier analysis of geophysical time series |
title_short |
New significance test methods for Fourier analysis of geophysical time series |
title_full |
New significance test methods for Fourier analysis of geophysical time series |
title_fullStr |
New significance test methods for Fourier analysis of geophysical time series |
title_full_unstemmed |
New significance test methods for Fourier analysis of geophysical time series |
title_sort |
new significance test methods for fourier analysis of geophysical time series |
publishDate |
2011 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1055.789 http://kaares.ulapland.fi/home/hkunta/jmoore/pdfs/zhange_moore_npg.pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
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Arctic |
op_source |
http://kaares.ulapland.fi/home/hkunta/jmoore/pdfs/zhange_moore_npg.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1055.789 http://kaares.ulapland.fi/home/hkunta/jmoore/pdfs/zhange_moore_npg.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766332285290807296 |