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来源类型Working Papers
规范类型论文
Hunting spectro-temporal information in unevenly spaced paleoclimate time series
Josué M. Polanco-Martínez and Sérgio H. Faria
发表日期2014-11-06
出处BC3 WORKING PAPER SERIES : 2014-07
出版年2014
语种英语
摘要

Here we present some preliminary results of a statistical–computational implementation to estimate the wavelet spectrum of unevenly spaced paleoclimate time series by means of the Morlet Weighted Wavelet Z-Transform (MWWZ). A statistical significance test is performed against an ensemble of first-order auto-regressive models (AR1) by means of Monte Carlo simulations. In order to demonstrate the capabilities of this implementation, we apply it to the oxygen isotope ratio (?18O) data of the GISP2 deep ice core (Greenland).

关键词wavelet spectral analysis continuous wavelet transform Morlet Weighted Wavelet Z-Transform unvenly spaced paleoclimate time series non-stationarity multi-scale phenomena.
URLhttps://www.bc3research.org/workingpapers/2014-07.html
来源智库Basque Centre for Climate Change (Spain)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/177024
推荐引用方式
GB/T 7714
Josué M. Polanco-Martínez and Sérgio H. Faria. Hunting spectro-temporal information in unevenly spaced paleoclimate time series. 2014.
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