Sea ice surface temperatures from helicopter-borne thermal infrared imaging during the MOSAiC expedition

The sea ice surface temperature is important to understand the Arctic winter heat budget. We conducted 35 helicopter flights with an infrared camera in winter 2019/2020 during the Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. The flights were performed f...

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Published in:Scientific Data
Main Authors: Thielke, Linda, Huntemann, Marcus, Hendricks, Stefan, Jutila, Arttu, Ricker, Robert, Spreen, Gunnar
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/11250/3089664
https://doi.org/10.1038/s41597-022-01461-9
id ftnorce:oai:norceresearch.brage.unit.no:11250/3089664
record_format openpolar
spelling ftnorce:oai:norceresearch.brage.unit.no:11250/3089664 2023-10-09T21:48:30+02:00 Sea ice surface temperatures from helicopter-borne thermal infrared imaging during the MOSAiC expedition Thielke, Linda Huntemann, Marcus Hendricks, Stefan Jutila, Arttu Ricker, Robert Spreen, Gunnar 2022 application/pdf https://hdl.handle.net/11250/3089664 https://doi.org/10.1038/s41597-022-01461-9 eng eng https://www.nature.com/articles/s41597-022-01461-9.pdf Andre: MOSAiC20192020 Andre: IceSense 03F0866B Andre: IceSense 03F0866A Deutsche Forschungsgemeinschaft: 221211316 Deutsche Forschungsgemeinschaft: 420499875 Scientific Data. 2022, . urn:issn:2052-4463 https://hdl.handle.net/11250/3089664 https://doi.org/10.1038/s41597-022-01461-9 cristin:2042160 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no © The Author(s) 2022 Scientific Data 16 Sea ice VDP::Miljøteknologi: 610 VDP::Environmental engineering: 610 Peer reviewed Journal article 2022 ftnorce https://doi.org/10.1038/s41597-022-01461-9 2023-09-20T22:49:51Z The sea ice surface temperature is important to understand the Arctic winter heat budget. We conducted 35 helicopter flights with an infrared camera in winter 2019/2020 during the Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. The flights were performed from a local, 5 to 10 km scale up to a regional, 20 to 40 km scale. The infrared camera recorded thermal infrared brightness temperatures, which we converted to surface temperatures. More than 150000 images from all flights can be investigated individually. As an advanced data product, we created surface temperature maps for every flight with a 1 m resolution. We corrected image gradients, applied an ice drift correction, georeferenced all pixels, and corrected the surface temperature by its natural temporal drift, which results in time-fixed surface temperature maps for a consistent analysis of one flight. The temporal and spatial variability of sea ice characteristics is an important contribution to an increased understanding of the Arctic heat budget and, in particular, for the validation of satellite products. publishedVersion Article in Journal/Newspaper Arctic Sea ice NORCE vitenarkiv (Norwegian Research Centre) Arctic Scientific Data 9 1
institution Open Polar
collection NORCE vitenarkiv (Norwegian Research Centre)
op_collection_id ftnorce
language English
topic Sea ice
VDP::Miljøteknologi: 610
VDP::Environmental engineering: 610
spellingShingle Sea ice
VDP::Miljøteknologi: 610
VDP::Environmental engineering: 610
Thielke, Linda
Huntemann, Marcus
Hendricks, Stefan
Jutila, Arttu
Ricker, Robert
Spreen, Gunnar
Sea ice surface temperatures from helicopter-borne thermal infrared imaging during the MOSAiC expedition
topic_facet Sea ice
VDP::Miljøteknologi: 610
VDP::Environmental engineering: 610
description The sea ice surface temperature is important to understand the Arctic winter heat budget. We conducted 35 helicopter flights with an infrared camera in winter 2019/2020 during the Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. The flights were performed from a local, 5 to 10 km scale up to a regional, 20 to 40 km scale. The infrared camera recorded thermal infrared brightness temperatures, which we converted to surface temperatures. More than 150000 images from all flights can be investigated individually. As an advanced data product, we created surface temperature maps for every flight with a 1 m resolution. We corrected image gradients, applied an ice drift correction, georeferenced all pixels, and corrected the surface temperature by its natural temporal drift, which results in time-fixed surface temperature maps for a consistent analysis of one flight. The temporal and spatial variability of sea ice characteristics is an important contribution to an increased understanding of the Arctic heat budget and, in particular, for the validation of satellite products. publishedVersion
format Article in Journal/Newspaper
author Thielke, Linda
Huntemann, Marcus
Hendricks, Stefan
Jutila, Arttu
Ricker, Robert
Spreen, Gunnar
author_facet Thielke, Linda
Huntemann, Marcus
Hendricks, Stefan
Jutila, Arttu
Ricker, Robert
Spreen, Gunnar
author_sort Thielke, Linda
title Sea ice surface temperatures from helicopter-borne thermal infrared imaging during the MOSAiC expedition
title_short Sea ice surface temperatures from helicopter-borne thermal infrared imaging during the MOSAiC expedition
title_full Sea ice surface temperatures from helicopter-borne thermal infrared imaging during the MOSAiC expedition
title_fullStr Sea ice surface temperatures from helicopter-borne thermal infrared imaging during the MOSAiC expedition
title_full_unstemmed Sea ice surface temperatures from helicopter-borne thermal infrared imaging during the MOSAiC expedition
title_sort sea ice surface temperatures from helicopter-borne thermal infrared imaging during the mosaic expedition
publishDate 2022
url https://hdl.handle.net/11250/3089664
https://doi.org/10.1038/s41597-022-01461-9
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_source Scientific Data
16
op_relation https://www.nature.com/articles/s41597-022-01461-9.pdf
Andre: MOSAiC20192020
Andre: IceSense 03F0866B
Andre: IceSense 03F0866A
Deutsche Forschungsgemeinschaft: 221211316
Deutsche Forschungsgemeinschaft: 420499875
Scientific Data. 2022, .
urn:issn:2052-4463
https://hdl.handle.net/11250/3089664
https://doi.org/10.1038/s41597-022-01461-9
cristin:2042160
op_rights Navngivelse 4.0 Internasjonal
http://creativecommons.org/licenses/by/4.0/deed.no
© The Author(s) 2022
op_doi https://doi.org/10.1038/s41597-022-01461-9
container_title Scientific Data
container_volume 9
container_issue 1
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