High-resolution repeat topography of drifting ice floes in the Arctic Ocean from terrestrial laser scanning

Abstract Snow and ice topography impact and are impacted by fluxes of mass, energy, and momentum in Arctic sea ice. We measured the topography on approximately a 0.5 km2 drifting parcel of Arctic sea ice on 42 separate days from 18 October 2019 to 9 May 2020 via Terrestrial Laser Scanning (TLS). The...

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Published in:Scientific Data
Main Authors: David Clemens-Sewall, Chris Polashenski, Ian A. Raphael, Matthew Parno, Don Perovich, Polona Itkin, Matthias Jaggi, Arttu Jutila, Amy R. Macfarlane, Ilkka S. O. Matero, Marc Oggier, Ronald J. W. Visser, David N. Wagner
Format: Article in Journal/Newspaper
Language:English
Published: Nature Portfolio 2024
Subjects:
Q
Online Access:https://doi.org/10.1038/s41597-023-02882-w
https://doaj.org/article/2fa502b0aaf14fdaaa97249f28a61b43
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spelling ftdoajarticles:oai:doaj.org/article:2fa502b0aaf14fdaaa97249f28a61b43 2024-02-11T10:00:37+01:00 High-resolution repeat topography of drifting ice floes in the Arctic Ocean from terrestrial laser scanning David Clemens-Sewall Chris Polashenski Ian A. Raphael Matthew Parno Don Perovich Polona Itkin Matthias Jaggi Arttu Jutila Amy R. Macfarlane Ilkka S. O. Matero Marc Oggier Ronald J. W. Visser David N. Wagner 2024-01-01T00:00:00Z https://doi.org/10.1038/s41597-023-02882-w https://doaj.org/article/2fa502b0aaf14fdaaa97249f28a61b43 EN eng Nature Portfolio https://doi.org/10.1038/s41597-023-02882-w https://doaj.org/toc/2052-4463 doi:10.1038/s41597-023-02882-w 2052-4463 https://doaj.org/article/2fa502b0aaf14fdaaa97249f28a61b43 Scientific Data, Vol 11, Iss 1, Pp 1-14 (2024) Science Q article 2024 ftdoajarticles https://doi.org/10.1038/s41597-023-02882-w 2024-01-21T01:43:15Z Abstract Snow and ice topography impact and are impacted by fluxes of mass, energy, and momentum in Arctic sea ice. We measured the topography on approximately a 0.5 km2 drifting parcel of Arctic sea ice on 42 separate days from 18 October 2019 to 9 May 2020 via Terrestrial Laser Scanning (TLS). These data are aligned into an ice-fixed, lagrangian reference frame such that topographic changes (e.g., snow accumulation) can be observed for time periods of up to six months. Using in-situ measurements, we have validated the vertical accuracy of the alignment to ± 0.011 m. This data collection and processing workflow is the culmination of several prior measurement campaigns and may be generally applied for repeat TLS measurements on drifting sea ice. We present a description of the data, a software package written to process and align these data, and the philosophy of the data processing. These data can be used to investigate snow accumulation and redistribution, ice dynamics, surface roughness, and they can provide valuable context for co-located measurements. Article in Journal/Newspaper Arctic Arctic Ocean Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Scientific Data 11 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Science
Q
spellingShingle Science
Q
David Clemens-Sewall
Chris Polashenski
Ian A. Raphael
Matthew Parno
Don Perovich
Polona Itkin
Matthias Jaggi
Arttu Jutila
Amy R. Macfarlane
Ilkka S. O. Matero
Marc Oggier
Ronald J. W. Visser
David N. Wagner
High-resolution repeat topography of drifting ice floes in the Arctic Ocean from terrestrial laser scanning
topic_facet Science
Q
description Abstract Snow and ice topography impact and are impacted by fluxes of mass, energy, and momentum in Arctic sea ice. We measured the topography on approximately a 0.5 km2 drifting parcel of Arctic sea ice on 42 separate days from 18 October 2019 to 9 May 2020 via Terrestrial Laser Scanning (TLS). These data are aligned into an ice-fixed, lagrangian reference frame such that topographic changes (e.g., snow accumulation) can be observed for time periods of up to six months. Using in-situ measurements, we have validated the vertical accuracy of the alignment to ± 0.011 m. This data collection and processing workflow is the culmination of several prior measurement campaigns and may be generally applied for repeat TLS measurements on drifting sea ice. We present a description of the data, a software package written to process and align these data, and the philosophy of the data processing. These data can be used to investigate snow accumulation and redistribution, ice dynamics, surface roughness, and they can provide valuable context for co-located measurements.
format Article in Journal/Newspaper
author David Clemens-Sewall
Chris Polashenski
Ian A. Raphael
Matthew Parno
Don Perovich
Polona Itkin
Matthias Jaggi
Arttu Jutila
Amy R. Macfarlane
Ilkka S. O. Matero
Marc Oggier
Ronald J. W. Visser
David N. Wagner
author_facet David Clemens-Sewall
Chris Polashenski
Ian A. Raphael
Matthew Parno
Don Perovich
Polona Itkin
Matthias Jaggi
Arttu Jutila
Amy R. Macfarlane
Ilkka S. O. Matero
Marc Oggier
Ronald J. W. Visser
David N. Wagner
author_sort David Clemens-Sewall
title High-resolution repeat topography of drifting ice floes in the Arctic Ocean from terrestrial laser scanning
title_short High-resolution repeat topography of drifting ice floes in the Arctic Ocean from terrestrial laser scanning
title_full High-resolution repeat topography of drifting ice floes in the Arctic Ocean from terrestrial laser scanning
title_fullStr High-resolution repeat topography of drifting ice floes in the Arctic Ocean from terrestrial laser scanning
title_full_unstemmed High-resolution repeat topography of drifting ice floes in the Arctic Ocean from terrestrial laser scanning
title_sort high-resolution repeat topography of drifting ice floes in the arctic ocean from terrestrial laser scanning
publisher Nature Portfolio
publishDate 2024
url https://doi.org/10.1038/s41597-023-02882-w
https://doaj.org/article/2fa502b0aaf14fdaaa97249f28a61b43
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Sea ice
genre_facet Arctic
Arctic Ocean
Sea ice
op_source Scientific Data, Vol 11, Iss 1, Pp 1-14 (2024)
op_relation https://doi.org/10.1038/s41597-023-02882-w
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doi:10.1038/s41597-023-02882-w
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op_doi https://doi.org/10.1038/s41597-023-02882-w
container_title Scientific Data
container_volume 11
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