Abstract
AbstractContinuous periodogram spectral analyses of 28 years (1961–1988) of seasonal (September‐November) mean COADS global surface (air and sea) temperature time‐series show that the power spectra follow the universal inverse power law form of the statistical normal distribution. An inverse power law form for power spectra of temporal fluctuations implies long‐range temporal correlation and is a signature of self‐organized criticality. Universal quantification for self‐organized criticality presented in this paper is consistent with a recently developed cell dynamical system model for atmospheric flows, which predicts such non‐local connections as intrinsic to quantum‐like mechanics governing flow dynamics. The universal spectrum for interannual variabiality rules out linear secular trends in global surface (air and sea) temperatures.
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