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 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.