Modelling cosmic radiation events in the tree-ring radiocarbon record

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F22%3A00564066" target="_blank" >RIV/86652079:_____/22:00564066 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14310/22:00128139

Výsledek na webu

<a href="https://royalsocietypublishing.org/doi/10.1098/rspa.2022.0497" target="_blank" >https://royalsocietypublishing.org/doi/10.1098/rspa.2022.0497</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1098/rspa.2022.0497" target="_blank" >10.1098/rspa.2022.0497</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Modelling cosmic radiation events in the tree-ring radiocarbon record

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Modelling cosmic radiation events in the tree-ring radiocarbon record

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10510 - Climatic research

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Proceedings of the Royal Society A-Mathematical Physical and Engineering Sciences

ISSN

1364-5021

e-ISSN

1471-2946

Svazek periodika

478

Číslo periodika v rámci svazku

2266

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

31

Strana od-do

20220497

Kód UT WoS článku

000876857400007

EID výsledku v databázi Scopus

2-s2.0-85141125470