Silicon Isotopes in an EMIC's Ocean: Sensitivity to Runoff, Iron Supply, and Climate
The isotopic composition of Si in biogenic silica (BSi), such as opal buried in the oceans' sediments, has changed over time. Paleorecords suggest that the isotopic composition, described in terms of δ30Si, was generally much lower during glacial times than today. There is consensus that this v...
Published in: | Paleoceanography and Paleoclimatology |
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ftsubggeo:oai:e-docs.geo-leo.de:11858/9021 2023-05-15T18:25:33+02:00 Silicon Isotopes in an EMIC's Ocean: Sensitivity to Runoff, Iron Supply, and Climate Dietze, H. Löptien, U. Hordoir, R. Heinemann, M. Huiskamp, W. Schneider, B. 2020 https://doi.org/10.1029/2020PA003960 http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9021 eng eng doi:10.1029/2020PA003960 http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9021 This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. CC-BY ddc:551.9 Earth System Model silicon isotopes Last Glacial Maximum biogeochemical modeling ocean sediment doc-type:article 2020 ftsubggeo https://doi.org/10.1029/2020PA003960 2022-11-09T06:51:38Z The isotopic composition of Si in biogenic silica (BSi), such as opal buried in the oceans' sediments, has changed over time. Paleorecords suggest that the isotopic composition, described in terms of δ30Si, was generally much lower during glacial times than today. There is consensus that this variability is attributable to differing environmental conditions at the respective time of BSi production and sedimentation. The detailed links between environmental conditions and the isotopic composition of BSi in the sediments remain, however, poorly constrained. In this study, we explore the effects of a suite of offset boundary conditions during the Last Glacial Maximum (LGM) on the isotopic composition of BSi archived in sediments in an Earth System Model of intermediate complexity (EMIC). Our model results suggest that a change in the isotopic composition of Si supply to the glacial ocean is sufficient to explain the observed overall low(er) glacial δ30Si in BSi. All other processes explored trigger model responses of either wrong sign or magnitude or are inconsistent with a recent estimate of bottom water oxygenation in the Atlantic Sector of the Southern Ocean. Caveats, mainly associated with generic uncertainties in today's pelagic biogeochemical modules, remain. Article in Journal/Newspaper Southern Ocean GEO-LEOe-docs (FID GEO) Southern Ocean Paleoceanography and Paleoclimatology 35 10 |
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Open Polar |
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GEO-LEOe-docs (FID GEO) |
op_collection_id |
ftsubggeo |
language |
English |
topic |
ddc:551.9 Earth System Model silicon isotopes Last Glacial Maximum biogeochemical modeling ocean sediment |
spellingShingle |
ddc:551.9 Earth System Model silicon isotopes Last Glacial Maximum biogeochemical modeling ocean sediment Dietze, H. Löptien, U. Hordoir, R. Heinemann, M. Huiskamp, W. Schneider, B. Silicon Isotopes in an EMIC's Ocean: Sensitivity to Runoff, Iron Supply, and Climate |
topic_facet |
ddc:551.9 Earth System Model silicon isotopes Last Glacial Maximum biogeochemical modeling ocean sediment |
description |
The isotopic composition of Si in biogenic silica (BSi), such as opal buried in the oceans' sediments, has changed over time. Paleorecords suggest that the isotopic composition, described in terms of δ30Si, was generally much lower during glacial times than today. There is consensus that this variability is attributable to differing environmental conditions at the respective time of BSi production and sedimentation. The detailed links between environmental conditions and the isotopic composition of BSi in the sediments remain, however, poorly constrained. In this study, we explore the effects of a suite of offset boundary conditions during the Last Glacial Maximum (LGM) on the isotopic composition of BSi archived in sediments in an Earth System Model of intermediate complexity (EMIC). Our model results suggest that a change in the isotopic composition of Si supply to the glacial ocean is sufficient to explain the observed overall low(er) glacial δ30Si in BSi. All other processes explored trigger model responses of either wrong sign or magnitude or are inconsistent with a recent estimate of bottom water oxygenation in the Atlantic Sector of the Southern Ocean. Caveats, mainly associated with generic uncertainties in today's pelagic biogeochemical modules, remain. |
format |
Article in Journal/Newspaper |
author |
Dietze, H. Löptien, U. Hordoir, R. Heinemann, M. Huiskamp, W. Schneider, B. |
author_facet |
Dietze, H. Löptien, U. Hordoir, R. Heinemann, M. Huiskamp, W. Schneider, B. |
author_sort |
Dietze, H. |
title |
Silicon Isotopes in an EMIC's Ocean: Sensitivity to Runoff, Iron Supply, and Climate |
title_short |
Silicon Isotopes in an EMIC's Ocean: Sensitivity to Runoff, Iron Supply, and Climate |
title_full |
Silicon Isotopes in an EMIC's Ocean: Sensitivity to Runoff, Iron Supply, and Climate |
title_fullStr |
Silicon Isotopes in an EMIC's Ocean: Sensitivity to Runoff, Iron Supply, and Climate |
title_full_unstemmed |
Silicon Isotopes in an EMIC's Ocean: Sensitivity to Runoff, Iron Supply, and Climate |
title_sort |
silicon isotopes in an emic's ocean: sensitivity to runoff, iron supply, and climate |
publishDate |
2020 |
url |
https://doi.org/10.1029/2020PA003960 http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9021 |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_relation |
doi:10.1029/2020PA003960 http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9021 |
op_rights |
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1029/2020PA003960 |
container_title |
Paleoceanography and Paleoclimatology |
container_volume |
35 |
container_issue |
10 |
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1766207075494395904 |