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A novel Bayesian approach for disentangling solar and geomagnetic field influences on the radionuclide production rates

Nguyen, Long LU orcid ; Suttie, Neil LU orcid ; Nilsson, Andreas LU and Muscheler, Raimund LU orcid (2022) In Earth, Planets and Space 74(1).
Abstract

Cosmogenic radionuclide records (e.g., 10Be and 14C) contain information on past geomagnetic dipole moment and solar activity changes. Disentangling these signals is challenging, but can be achieved by using independent reconstructions of the geomagnetic dipole moment. Consequently, solar activity reconstructions are directly influenced by the dipole moment uncertainties. Alternatively, the known differences in the rates of change of these two processes can be utilized to separate the signals in the radionuclide data. Previously, frequency filters have been used to separate the effects of the two processes based on the assumption that millennial-scale variations in the radionuclide records are dominated by... (More)

Cosmogenic radionuclide records (e.g., 10Be and 14C) contain information on past geomagnetic dipole moment and solar activity changes. Disentangling these signals is challenging, but can be achieved by using independent reconstructions of the geomagnetic dipole moment. Consequently, solar activity reconstructions are directly influenced by the dipole moment uncertainties. Alternatively, the known differences in the rates of change of these two processes can be utilized to separate the signals in the radionuclide data. Previously, frequency filters have been used to separate the effects of the two processes based on the assumption that millennial-scale variations in the radionuclide records are dominated by geomagnetic dipole moment variations, while decadal-to-centennial variations can be attributed to solar activity variations. However, the influences of the two processes likely overlap on centennial timescales and possibly millennial timescales as well, making a simple frequency cut problematic. Here, we present a new Bayesian model that utilizes the knowledge of solar and geomagnetic field variability to reconstruct both solar activity and geomagnetic dipole moment from the radionuclide data at the same time. This method allows for the possibility that solar activity and geomagnetic dipole moment exhibit variations on overlapping timescales. The model was tested and evaluated using synthetic data with realistic noise and then used to reconstruct solar activity and the geomagnetic dipole moment from the 14C production record over the last two millennia. The results agree with reconstructions based on independent geomagnetic field models and with solar activity inferred from the Group Sunspot number. Our Bayesian model also has the potential to be developed further by including additional confounding factors, such as climate influences on the radionuclide records. Graphical Abstract: [Figure not available: see fulltext.]

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Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
C, Cosmogenic radionuclide, Holocene, Paleomagnetism, Solar activity
in
Earth, Planets and Space
volume
74
issue
1
article number
130
publisher
Terra Scientific Publishing Company
external identifiers
  • scopus:85136825995
ISSN
1343-8832
DOI
10.1186/s40623-022-01688-1
project
Solar variability over the Holocene period
language
English
LU publication?
yes
id
b4c48b88-6916-487e-a46f-7cb2bdd5a1b9
date added to LUP
2022-10-17 08:27:57
date last changed
2023-05-10 11:25:20
@article{b4c48b88-6916-487e-a46f-7cb2bdd5a1b9,
  abstract     = {{<p>Cosmogenic radionuclide records (e.g., <sup>10</sup>Be and <sup>14</sup>C) contain information on past geomagnetic dipole moment and solar activity changes. Disentangling these signals is challenging, but can be achieved by using independent reconstructions of the geomagnetic dipole moment. Consequently, solar activity reconstructions are directly influenced by the dipole moment uncertainties. Alternatively, the known differences in the rates of change of these two processes can be utilized to separate the signals in the radionuclide data. Previously, frequency filters have been used to separate the effects of the two processes based on the assumption that millennial-scale variations in the radionuclide records are dominated by geomagnetic dipole moment variations, while decadal-to-centennial variations can be attributed to solar activity variations. However, the influences of the two processes likely overlap on centennial timescales and possibly millennial timescales as well, making a simple frequency cut problematic. Here, we present a new Bayesian model that utilizes the knowledge of solar and geomagnetic field variability to reconstruct both solar activity and geomagnetic dipole moment from the radionuclide data at the same time. This method allows for the possibility that solar activity and geomagnetic dipole moment exhibit variations on overlapping timescales. The model was tested and evaluated using synthetic data with realistic noise and then used to reconstruct solar activity and the geomagnetic dipole moment from the <sup>14</sup>C production record over the last two millennia. The results agree with reconstructions based on independent geomagnetic field models and with solar activity inferred from the Group Sunspot number. Our Bayesian model also has the potential to be developed further by including additional confounding factors, such as climate influences on the radionuclide records. Graphical Abstract: [Figure not available: see fulltext.]</p>}},
  author       = {{Nguyen, Long and Suttie, Neil and Nilsson, Andreas and Muscheler, Raimund}},
  issn         = {{1343-8832}},
  keywords     = {{C; Cosmogenic radionuclide; Holocene; Paleomagnetism; Solar activity}},
  language     = {{eng}},
  month        = {{12}},
  number       = {{1}},
  publisher    = {{Terra Scientific Publishing Company}},
  series       = {{Earth, Planets and Space}},
  title        = {{A novel Bayesian approach for disentangling solar and geomagnetic field influences on the radionuclide production rates}},
  url          = {{http://dx.doi.org/10.1186/s40623-022-01688-1}},
  doi          = {{10.1186/s40623-022-01688-1}},
  volume       = {{74}},
  year         = {{2022}},
}