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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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 |
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Open Polar |
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NORCE vitenarkiv (Norwegian Research Centre) |
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ftnorce |
language |
English |
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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 |
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Scientific Data |
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9 |
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1 |
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1779311582226939904 |