Abstract
The time spectrum of variations in the atmospheric radiocarbon inventory is reviewed. According to conventional analysis (discrete Fourier transform, periodogram, and maximum entropy or MEM), the spectrum is characterized by features at ~ 2200, 900, 700, 207, 149, and 88 years as well possibly at other frequencies. Model fitting of sinusoids using the Bretthorst algorithm confirms most of these and places their periods on a more secure basis. The forcings of the spectral features are known to be seated in some combination of ocean-atmosphere interaction, the Sun, and the terrestrial magnetic field, but some specific line assignments are still regarded as tentative.
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Sonett, C.P. (1990). Atmospheric 14C Variations: A Bayesian Prospect. In: Fougère, P.F. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 39. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0683-9_7
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DOI: https://doi.org/10.1007/978-94-009-0683-9_7
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