Use of time series analysis to detect climatic change

Abstract Many studies are being made into the effects on society of “greenhouse effect” climatic changes. This paper looks at some climate-related time series to see if the effects of any such change can be identified. Series of lake levels and river flows were analysed for linear trends, periodicities, autoregressions and random residuals and possible physical causes are given for those components found to be significant. No statistical components were found that could be ascribed to “greenhouse”-induced climatic change.