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Modelling cosmic radiation events in the tree-ring radiocarbon record

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Zhang, Q. orcid id iconORCID: https://orcid.org/0000-0002-0906-8533, Sharma, U. orcid id iconORCID: https://orcid.org/0000-0002-0771-8109, Dennis, J. A. orcid id iconORCID: https://orcid.org/0000-0001-8125-6494, Scifo, A. orcid id iconORCID: https://orcid.org/0000-0002-7174-3966, Kuitems, M. orcid id iconORCID: https://orcid.org/0000-0002-8803-2650, Büntgen, U. orcid id iconORCID: https://orcid.org/0000-0002-3821-0818, Owens, M. J. orcid id iconORCID: https://orcid.org/0000-0003-2061-2453, Dee, M. W. orcid id iconORCID: https://orcid.org/0000-0002-3116-453X and Pope, B. J. S. orcid id iconORCID: https://orcid.org/0000-0003-2595-9114 (2022) Modelling cosmic radiation events in the tree-ring radiocarbon record. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 478 (2266). ISSN 1471-2946 doi: 10.1098/rspa.2022.0497

Abstract/Summary

Annually resolved measurements of the radiocarbon content in tree-rings have revealed rare sharp rises in carbon-14 production. These ‘Miyake events’ are likely produced by rare increases in cosmic radiation from the Sun or other energetic astrophysical sources. The radiocarbon produced is not only circulated through the Earth’s atmosphere and oceans, but also absorbed by the biosphere and locked in the annual growth rings of trees. To interpret high-resolution tree-ring radiocarbon measurements therefore necessitates modelling the entire global carbon cycle. Here, we introduce ‘ticktack’ (https://github.com/SharmaLlama/ticktack/), the first open-source Python package that connects box models of the carbon cycle with modern Bayesian inference tools. We use this to analyse all public annual  14C tree data, and infer posterior parameters for all six known Miyake events. They do not show a consistent relationship to the solar cycle, and several display extended durations that challenge either astrophysical or geophysical models.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/108514
Item Type Article
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher The Royal Society
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