Quasi‐periodic meteorological series and second‐order autoregressive processes
Open Access
- 1 October 1983
- journal article
- research article
- Published by Wiley in Journal of Climatology
- Vol. 3 (4) , 413-417
- https://doi.org/10.1002/joc.3370030409
Abstract
Quasi‐periodic behaviour in meteorological or climatological series is a widespread phenomenon; various attempts have been made to explain such behaviour in physical terms, often invoking external influences in the explanations. While it is not disputed that external influences or feedback mechanisms may have a part to play, it is argued in the present note that a substantial part of quasi‐cyclic behaviour can often be explained by a simpler mechanism, namely second‐order dependence of a series on its own past. The plausibility of second‐order dependence is discussed, and the way in which such dependence leads to quasi‐periodic behaviour is described. Data on sunspots. Baltic ice area and a zonal circulation index are used to illustrate these ideas.Keywords
This publication has 9 references indexed in Scilit:
- Threshold Autoregression, Limit Cycles and Cyclical DataJournal of the Royal Statistical Society Series B: Statistical Methodology, 1980
- QUASI‐CYCLES IN METEOROLOGYWeather, 1980
- A useful reparameterization for second?order autoregressive processesInternational Journal of Mathematical Education in Science and Technology, 1979
- CHANGES IN SIGN OF THE RELATIONSHIP BETWEEN SUNSPOTS AND PRESSURE, RAINFALL AND THE MONSOONSWeather, 1977
- Forecasting the Sunspot CycleJournal of the Royal Statistical Society. Series A (General), 1977
- Some Experiments on the Prediction of Sunspot NumbersJournal of the Royal Statistical Society Series B: Statistical Methodology, 1954
- On periodicity in series of related termsProceedings of the Royal Society of London. Series A, Containing Papers of a Mathematical and Physical Character, 1931
- VII. On a method of investigating periodicities disturbed series, with special reference to Wolfer's sunspot numbersPhilosophical Transactions of the Royal Society A, 1927
- Why do we Sometimes get Nonsense-Correlations between Time-Series?--A Study in Sampling and the Nature of Time-SeriesJournal of the Royal Statistical Society, 1926