A polar bias in ice-core 10Be-data

Cosmogenic radionuclide records from polar ice cores provide unique insights into past cosmic ray flux variations. Besides allowing reconstructions of past solar activity, space weather, and geomagnetic field changes, they provide independent estimates of radiocarbon production rate changes in the p...

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Main Authors: Adolphi, Florian, Herbst, Konstantin, Panovska, Sanja, Nilsson, Andreas
Format: Conference Object
Language:unknown
Published: 2022
Subjects:
Online Access:https://epic.awi.de/id/eprint/57185/
https://hdl.handle.net/10013/epic.7f388696-ab71-4e1e-b581-f1030f55c47e
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spelling ftawi:oai:epic.awi.de:57185 2024-09-15T18:11:54+00:00 A polar bias in ice-core 10Be-data Adolphi, Florian Herbst, Konstantin Panovska, Sanja Nilsson, Andreas 2022-09-15 https://epic.awi.de/id/eprint/57185/ https://hdl.handle.net/10013/epic.7f388696-ab71-4e1e-b581-f1030f55c47e unknown Adolphi, F. orcid:0000-0003-0014-8753 , Herbst, K. , Panovska, S. and Nilsson, A. (2022) A polar bias in ice-core 10Be-data , 24th International Radiocarbon Conference, Zürich, Switzerland, 12 September 2022 - 16 September 2022 . hdl:10013/epic.7f388696-ab71-4e1e-b581-f1030f55c47e EPIC324th International Radiocarbon Conference, Zürich, Switzerland, 2022-09-12-2022-09-16 Conference notRev 2022 ftawi 2024-06-24T04:30:12Z Cosmogenic radionuclide records from polar ice cores provide unique insights into past cosmic ray flux variations. Besides allowing reconstructions of past solar activity, space weather, and geomagnetic field changes, they provide independent estimates of radiocarbon production rate changes in the past and are thus, an independent means to assess the radiocarbon calibration curve. However, all these applications rely on the proportionality of the ice core radionuclide records to the global mean production rate changes. This premise has been long debated from the model and data perspective. Here, we address this issue through atmospheric mixing model experiments and comparison to independent data. We find that all mixing scenarios that do not assume complete tropospheric mixing result in a polar bias. This bias is more prominent for geomagnetic field changes than solar modulation changes. Supported by independent geomagnetic field records and marine 10Be, the most likely scenario results in a dampening of geomagnetic field-induced changes by 23-37% and an enhancement of solar-induced changes by 7-8%. We propose a correction function that allows deconvolving the ice core to restore proportionality to the global mean signal and discuss the relevance for understanding past variations in Δ14C. Conference Object ice core Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description Cosmogenic radionuclide records from polar ice cores provide unique insights into past cosmic ray flux variations. Besides allowing reconstructions of past solar activity, space weather, and geomagnetic field changes, they provide independent estimates of radiocarbon production rate changes in the past and are thus, an independent means to assess the radiocarbon calibration curve. However, all these applications rely on the proportionality of the ice core radionuclide records to the global mean production rate changes. This premise has been long debated from the model and data perspective. Here, we address this issue through atmospheric mixing model experiments and comparison to independent data. We find that all mixing scenarios that do not assume complete tropospheric mixing result in a polar bias. This bias is more prominent for geomagnetic field changes than solar modulation changes. Supported by independent geomagnetic field records and marine 10Be, the most likely scenario results in a dampening of geomagnetic field-induced changes by 23-37% and an enhancement of solar-induced changes by 7-8%. We propose a correction function that allows deconvolving the ice core to restore proportionality to the global mean signal and discuss the relevance for understanding past variations in Δ14C.
format Conference Object
author Adolphi, Florian
Herbst, Konstantin
Panovska, Sanja
Nilsson, Andreas
spellingShingle Adolphi, Florian
Herbst, Konstantin
Panovska, Sanja
Nilsson, Andreas
A polar bias in ice-core 10Be-data
author_facet Adolphi, Florian
Herbst, Konstantin
Panovska, Sanja
Nilsson, Andreas
author_sort Adolphi, Florian
title A polar bias in ice-core 10Be-data
title_short A polar bias in ice-core 10Be-data
title_full A polar bias in ice-core 10Be-data
title_fullStr A polar bias in ice-core 10Be-data
title_full_unstemmed A polar bias in ice-core 10Be-data
title_sort polar bias in ice-core 10be-data
publishDate 2022
url https://epic.awi.de/id/eprint/57185/
https://hdl.handle.net/10013/epic.7f388696-ab71-4e1e-b581-f1030f55c47e
genre ice core
genre_facet ice core
op_source EPIC324th International Radiocarbon Conference, Zürich, Switzerland, 2022-09-12-2022-09-16
op_relation Adolphi, F. orcid:0000-0003-0014-8753 , Herbst, K. , Panovska, S. and Nilsson, A. (2022) A polar bias in ice-core 10Be-data , 24th International Radiocarbon Conference, Zürich, Switzerland, 12 September 2022 - 16 September 2022 . hdl:10013/epic.7f388696-ab71-4e1e-b581-f1030f55c47e
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