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Small sample estimation of the variance of time-averages in climatic time series

✍ Scribed by Şen, Zekai

Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
94 KB
Volume
18
Category
Article
ISSN
0899-8418

No coin nor oath required. For personal study only.

✦ Synopsis

Estimations of the time-average variance for meteorological time series play a central role in climatic studies. They depend on the finite sample length and the correlation structure of the climatic time series. A general equation for these estimations is derived theoretically for autoregressive integrated moving average (ARIMA) process. Comparisons with a first-order Markov, moving average and independent processes are presented with charts for determining equivalent independent process effective number by considering a certain level of relative error percentage. Illustrative examples are given for the application of time-average variance in detecting possible climatic trends.

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