Semi‐automatic Ice Rafted Debris quantification with Computed Tomography
Sedimentary ice-rafted debris (IRD) provides critical information about the climate sensitivity and dynamics of ice sheets. In recent decades, high-resolution investigations have revelated ice rafting events in response to rapid warming: such reconstructions help us constrain the near-future stabili...
Published in: | Paleoceanography and Paleoclimatology |
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American Geophysical Union
2021
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Online Access: | https://hdl.handle.net/11250/2832045 https://doi.org/10.1029/2021PA004293 |
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ftunivbergen:oai:bora.uib.no:11250/2832045 2023-05-15T16:41:04+02:00 Semi‐automatic Ice Rafted Debris quantification with Computed Tomography Cederstrøm, Jan Magne Bilt, Willem Godert Maria van der Støren, Eivind Wilhelm Nagel Rutledal, Sunniva 2021 application/pdf https://hdl.handle.net/11250/2832045 https://doi.org/10.1029/2021PA004293 eng eng American Geophysical Union urn:issn:2572-4517 https://hdl.handle.net/11250/2832045 https://doi.org/10.1029/2021PA004293 cristin:1944537 Paleoceanography and Paleoclimatology. 2021, 36 (10), e2021PA004293. Navngivelse-Ikkekommersiell 4.0 Internasjonal http://creativecommons.org/licenses/by-nc/4.0/deed.no Copyright 2021 the authors e2021PA004293 Paleoceanography and Paleoclimatology 36 10 Journal article Peer reviewed 2021 ftunivbergen https://doi.org/10.1029/2021PA004293 2023-03-14T17:42:00Z Sedimentary ice-rafted debris (IRD) provides critical information about the climate sensitivity and dynamics of ice sheets. In recent decades, high-resolution investigations have revelated ice rafting events in response to rapid warming: such reconstructions help us constrain the near-future stability of our planet's fast-changing cryosphere. However, similar efforts require laborious and destructive analytical procedures to separate and count IRD. Computed tomography (CT) holds great promise to overcome these impediments to progress by enabling the micrometer-scale (max. ∼21 μm) visualization of individual IRD grains. This study demonstrates the potential of this emerging approach by (a) validating CT counts in synthetic sediment archives (phantoms) spiked with a known number of grains, (b) replicating published IRD stratigraphies, and (c) improving sampling resolution. Our results show that semi-automated CT counting of grains in the often analyzed 150–500 μm size fraction reproduces grain numbers and tracks manually counted trends. We also find that differences between manual and CT-counted data are explained by image processing artifacts, offsets in sampling resolution, and bioturbation. By acquiring these promising results using basic image processing tools, we argue that our work advances and broadens the applicability of ultra-high resolution IRD counting with CT to deepen our understanding of ice sheet-climate interactions on human-relevant timescales. publishedVersion Article in Journal/Newspaper Ice Sheet University of Bergen: Bergen Open Research Archive (BORA-UiB) Paleoceanography and Paleoclimatology 36 10 |
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Open Polar |
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University of Bergen: Bergen Open Research Archive (BORA-UiB) |
op_collection_id |
ftunivbergen |
language |
English |
description |
Sedimentary ice-rafted debris (IRD) provides critical information about the climate sensitivity and dynamics of ice sheets. In recent decades, high-resolution investigations have revelated ice rafting events in response to rapid warming: such reconstructions help us constrain the near-future stability of our planet's fast-changing cryosphere. However, similar efforts require laborious and destructive analytical procedures to separate and count IRD. Computed tomography (CT) holds great promise to overcome these impediments to progress by enabling the micrometer-scale (max. ∼21 μm) visualization of individual IRD grains. This study demonstrates the potential of this emerging approach by (a) validating CT counts in synthetic sediment archives (phantoms) spiked with a known number of grains, (b) replicating published IRD stratigraphies, and (c) improving sampling resolution. Our results show that semi-automated CT counting of grains in the often analyzed 150–500 μm size fraction reproduces grain numbers and tracks manually counted trends. We also find that differences between manual and CT-counted data are explained by image processing artifacts, offsets in sampling resolution, and bioturbation. By acquiring these promising results using basic image processing tools, we argue that our work advances and broadens the applicability of ultra-high resolution IRD counting with CT to deepen our understanding of ice sheet-climate interactions on human-relevant timescales. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Cederstrøm, Jan Magne Bilt, Willem Godert Maria van der Støren, Eivind Wilhelm Nagel Rutledal, Sunniva |
spellingShingle |
Cederstrøm, Jan Magne Bilt, Willem Godert Maria van der Støren, Eivind Wilhelm Nagel Rutledal, Sunniva Semi‐automatic Ice Rafted Debris quantification with Computed Tomography |
author_facet |
Cederstrøm, Jan Magne Bilt, Willem Godert Maria van der Støren, Eivind Wilhelm Nagel Rutledal, Sunniva |
author_sort |
Cederstrøm, Jan Magne |
title |
Semi‐automatic Ice Rafted Debris quantification with Computed Tomography |
title_short |
Semi‐automatic Ice Rafted Debris quantification with Computed Tomography |
title_full |
Semi‐automatic Ice Rafted Debris quantification with Computed Tomography |
title_fullStr |
Semi‐automatic Ice Rafted Debris quantification with Computed Tomography |
title_full_unstemmed |
Semi‐automatic Ice Rafted Debris quantification with Computed Tomography |
title_sort |
semi‐automatic ice rafted debris quantification with computed tomography |
publisher |
American Geophysical Union |
publishDate |
2021 |
url |
https://hdl.handle.net/11250/2832045 https://doi.org/10.1029/2021PA004293 |
genre |
Ice Sheet |
genre_facet |
Ice Sheet |
op_source |
e2021PA004293 Paleoceanography and Paleoclimatology 36 10 |
op_relation |
urn:issn:2572-4517 https://hdl.handle.net/11250/2832045 https://doi.org/10.1029/2021PA004293 cristin:1944537 Paleoceanography and Paleoclimatology. 2021, 36 (10), e2021PA004293. |
op_rights |
Navngivelse-Ikkekommersiell 4.0 Internasjonal http://creativecommons.org/licenses/by-nc/4.0/deed.no Copyright 2021 the authors |
op_doi |
https://doi.org/10.1029/2021PA004293 |
container_title |
Paleoceanography and Paleoclimatology |
container_volume |
36 |
container_issue |
10 |
_version_ |
1766031509715681280 |