A Quantitative Estimate of the Effect of Aliasing in Climatological Time Series

Results from simple calculations estimating the size of aliasing effects with averaging and sampling strategies often used in climate analysis yield surprising results, discussed by Madden and Jones. They present a theoretical example based on the spectra of first-order autoregressive processes, as...

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Bibliographic Details
Published in:Journal of climate 2001-10, Vol.14 (19), p.3987-3993
Main Authors: Madden, Roland A., Jones, Richard H.
Format: Article
Language:English
Subjects:
Atmospherics
Autocorrelation
Climate
Continuous spectra
Earth, ocean, space
Exact sciences and technology
External geophysics
Frequency ranges
Geometric lines
Geophysics. Techniques, methods, instrumentation and models
Line spectra
Meteorology
NOTES AND CORRESPONDENCE
Statistical variance
Time
Time series
White noise
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Summary:Results from simple calculations estimating the size of aliasing effects with averaging and sampling strategies often used in climate analysis yield surprising results, discussed by Madden and Jones. They present a theoretical example based on the spectra of first-order autoregressive processes, as well as an empirical example based on spectra of an observed time series of daily pressure data averaged over different lengths of time and sampled at different time intervals.
ISSN:0894-8755
1520-0442
DOI:10.1175/1520-0442(2001)014<3987:aqeote>2.0.co;2