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Testing and Improving the IntCal20 Calibration Curve with Independent Records

Part of: IntCal 20

Published online by Cambridge University Press:  14 July 2020

Raimund Muscheler*
Affiliation:
Quaternary Sciences, Department of Geology, Lund University, Lund, Sweden
Florian Adolphi
Affiliation:
Quaternary Sciences, Department of Geology, Lund University, Lund, Sweden Climate and Environmental Physics & Oeschger Centre for Climate Change Research, Physics Institute, University of Bern, Bern, Switzerland
Timothy J Heaton
Affiliation:
School of Mathematics and Statistics, University of Sheffield, Sheffield, UK
Christopher Bronk Ramsey
Affiliation:
Research Laboratory for Archaeology and the History of Art, University of Oxford, Oxford, UK
Anders Svensson
Affiliation:
Niels Bohr Institute, Ice and Climate Research University of Copenhagen, Copenhagen, Denmark
Johannes van der Plicht
Affiliation:
Centrum voor Isotopen Onderzoek, Rijksuniversiteit Groningen, Nijenborgh, The Netherlands
Paula J Reimer
Affiliation:
14CHRONO Centre for Climate, the Environment and Chronology, School of Natural and Built Environment, Queen’s University Belfast, Belfast, UK
*
*Corresponding author. Email: raimund.muscheler@geol.lu.se.
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Abstract

Connecting calendar ages to radiocarbon (14C) ages, i.e. constructing a calibration curve, requires 14C samples that represent, or are closely connected to, atmospheric 14C values and that can also be independently dated. In addition to these data, there is information that can serve as independent tests of the calibration curve. For example, information from ice core radionuclide data cannot be directly incorporated into the calibration curve construction as it delivers less direct information on the 14C age–calendar age relationship but it can provide tests of the quality of the calibration curve. Furthermore, ice core ages on 14C-dated volcanic eruptions provide key information on the agreement of ice core and radiocarbon time scales. Due to their scarcity such data would have little impact if directly incorporated into the calibration curve. However, these serve as important “anchor points” in time for independently testing the calibration curve and/or ice-core time scales. Here we will show that such information largely supports the new IntCal20 calibration record. Furthermore, we discuss how floating tree-ring sequences on ice-core time scales agree with the new calibration curve. For the period around 40,000 years ago we discuss unresolved differences between ice core 10Be and 14C records that are possibly related to our limited understanding of carbon cycle influences on the atmospheric 14C concentration during the last glacial period. Finally, we review the results on the time scale comparison between the Greenland ice-core time scale (GICC05) and IntCal20 that effectively allow a direct comparison of 14C-dated records with the Greenland ice core data.

Information

Type
Conference Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© 2020 by the Arizona Board of Regents on behalf of the University of Arizona
Figure 0

Table 1 Summary of the dating results of the deposits from three volcanic eruptions and their 14C results. See main text for details and references.

Figure 1

Figure 1 Relationship between ice core age (GICC05 time scale) (Rasmussen et al. 2006, 2013; Svensson et al. 2008) and the calibrated 14C age of the Towada-H eruption in Japan (calibrated with the IntCal20 calibration curve).

Figure 2

Figure 2 Calendar age of the Oruanui eruption calibrated with the SHCal20 calibration curve (Hogg et al. 2020 in this issue) in comparison to the ice core age in the WAIS divide ice core (Sigl et al. 2016; Dunbar et al. 2017).

Figure 3

Figure 3 Calibrated 14C age of the CI eruption compared to the Ar/Ar age of 39,850 ± 140 calendar yr BP.

Figure 4

Figure 4 Comparison of IntCal13 (gray band) (Reimer et al. 2013), IntCal20 (black) (Reimer et al. 2020 in this issue) and the placement of the three floating tree-ring series according to Adolphi et al. (2017) (darker colors, “GICC05”) and according to the best fit to the other data going into IntCal20 (lighter colors, “IntCal20”). Only data measured at ETH Zurich is shown. The gray lines show 10 individual realizations of the curves underlying IntCal20.

Figure 5

Figure 5 Atmospheric 14C variability (expressed as per mille Δ14C, which is 14C/12C corrected for fractionation and decay relative to a standard, denoted Δ in Stuiver and Polach [1977]) around 30,000 calendar yr BP. The figure shows the comparison of IntCal13 (Reimer et al. 2013), IntCal20 (black lines, Reimer et al. 2020 in this issue) and the kauri Δ14C data (Turney et al. 2016) calibrated onto the 14C data underlying IntCal20. The gray lines show 10 individual realizations of the curves going into IntCal20.

Figure 6

Figure 6 Comparison of IntCal20 (the two black lines indicate the 1-σ range), Hulu Cave 14C data (blue) and kauri 14C data (red) according to the best placement with respect to the data underlying IntCal20. The lower panel shows the kauri 14C data (purple) according to the best fit to the production signal as inferred from 10Be in Greenland ice cores (green line; Muscheler et al. 2014b). The vertical offset between the two kauri placements is due to the different decay correction depending on the different age placements. The vertical placement of the modeled 10Be-based Δ14C depends on normalization and carbon cycle configuration, i.e. only the relative variations can be robustly interpreted. The gray lines show 10 individual realizations of the curves underlying IntCal20.

Figure 7

Figure 7 Time scale transfer function between U/Th-dated 14C data (effectively the IntCal20 time scale) and the Greenland ice-core time scale (GICC05, Svensson et al. 2008). In black is the time scale transfer-function with the uncertainties in dark gray (1 σ) and light gray (2 σ). The maximum Holocene offset of 65 years is visible to the right at 11,500 calendar yr BP. Modified from Adolphi et al. (2018). We note, that the attribution of the SO4 peak in GISP2 to CI is purely based on the chronological agreement within uncertainties, and hence, tentative. The yellow markers show the time scale offsets inferred from the comparison of ice core radionuclide data and the Hulu Cave 14C data including the new data published by Cheng et al. (2018).