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Universal spectrum for interannual variability in COADS global air and sea-surface temperatures

✍ Scribed by A. Mary Selvam; R. R. Joshi


Publisher
John Wiley and Sons
Year
1995
Tongue
English
Weight
648 KB
Volume
15
Category
Article
ISSN
0899-8418

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✦ Synopsis


Abstract

Continuous 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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✍ SELVAM, A. M.; PETHKAR, J. S.; KULKARNI, M. K.; VIJAYAKUMAR, R. 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 701 KB

Annual and seasonal mean global surface pressure time series for the 25 years 1964-1988 obtained from the Comprehensive Ocean Atmosphere Data Set (COADS) were subjected to quasi-continuous periodogram spectral analysis. Periodogram estimates are summarized in the following: (i) the atmospheric inter