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...

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Published in:Paleoceanography and Paleoclimatology
Main Authors: Cederstrøm, Jan Magne, Bilt, Willem Godert Maria van der, Støren, Eivind Wilhelm Nagel, Rutledal, Sunniva
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union 2021
Subjects:
Online Access:https://hdl.handle.net/11250/2832045
https://doi.org/10.1029/2021PA004293
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spelling 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
institution Open Polar
collection 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
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