Some effects of finite sample size and persistence on meteorological statistics. Part I: autocorrelations.

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Abstract

Time series of meteorological variables typically exhibit a pronounced annual cycle and persistence and samples are of finite size. This paper analyses the impact of these complicating features on certain statistics computed from the time series. The presence of an annual cycle means that statistics are nonstationary unless computed from multiyear samples of limited duration. -from Author

Original languageEnglish
Pages (from-to)2359-2368
Number of pages10
JournalMonthly Weather Review
Volume112
Issue number12
DOIs
StatePublished - 1984
Externally publishedYes

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