Lead classification maps from helicopter-borne surface temperatures during the MOSAiC expedition ...
Leads (open water and thin ice) were classified in helicopter-borne thermal infrared observations. Lead classification maps, gridded in 1 m resolution, are provided for 35 flights between 02.10.2019 and 23.04.2020 during the MOSAiC expedition in the Arctic ocean. There is one file for every flight,...
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Online Access: | https://dx.doi.org/10.1594/pangaea.951569 https://doi.pangaea.de/10.1594/PANGAEA.951569 |
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ftdatacite:10.1594/pangaea.951569 2024-06-09T07:43:13+00:00 Lead classification maps from helicopter-borne surface temperatures during the MOSAiC expedition ... Thielke, Linda Huntemann, Marcus Spreen, Gunnar 2022 application/zip https://dx.doi.org/10.1594/pangaea.951569 https://doi.pangaea.de/10.1594/PANGAEA.951569 en eng PANGAEA https://dx.doi.org/10.1594/pangaea.941017 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Arctic Helicopter leads MOSAiC20192020 Sea ice PS122/1 PS122/2 PS122/3 Polarstern Arctic Amplification AC3 Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic ArcTrain Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties IceSense Publication Series of Datasets article Collection 2022 ftdatacite https://doi.org/10.1594/pangaea.95156910.1594/pangaea.941017 2024-05-13T12:44:57Z Leads (open water and thin ice) were classified in helicopter-borne thermal infrared observations. Lead classification maps, gridded in 1 m resolution, are provided for 35 flights between 02.10.2019 and 23.04.2020 during the MOSAiC expedition in the Arctic ocean. There is one file for every flight, either on a local (MOSAiC central observatory) or regional scale (MOSAiC distributed network). The flights can be identified by two campaign specific IDs (the event-related Device Operation label or Flight ID). The lead classification maps are derived from the surface temperature maps (doi:10.1594/PANGAEA.941017) as described in Thielke et al (in preparation). The 5 m resolution data (based on block averaged surface temperature) are included to provide data with a smaller file size so they are easier accessible and available for the comparison of the effect of different spatial resolutions. The binary lead classification is performed with a temperature threshold. In this data set, in addition to the lead ... Article in Journal/Newspaper Arctic Arctic Ocean Climate change North Atlantic Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Arctic Helicopter leads MOSAiC20192020 Sea ice PS122/1 PS122/2 PS122/3 Polarstern Arctic Amplification AC3 Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic ArcTrain Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties IceSense |
spellingShingle |
Arctic Helicopter leads MOSAiC20192020 Sea ice PS122/1 PS122/2 PS122/3 Polarstern Arctic Amplification AC3 Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic ArcTrain Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties IceSense Thielke, Linda Huntemann, Marcus Spreen, Gunnar Lead classification maps from helicopter-borne surface temperatures during the MOSAiC expedition ... |
topic_facet |
Arctic Helicopter leads MOSAiC20192020 Sea ice PS122/1 PS122/2 PS122/3 Polarstern Arctic Amplification AC3 Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic ArcTrain Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties IceSense |
description |
Leads (open water and thin ice) were classified in helicopter-borne thermal infrared observations. Lead classification maps, gridded in 1 m resolution, are provided for 35 flights between 02.10.2019 and 23.04.2020 during the MOSAiC expedition in the Arctic ocean. There is one file for every flight, either on a local (MOSAiC central observatory) or regional scale (MOSAiC distributed network). The flights can be identified by two campaign specific IDs (the event-related Device Operation label or Flight ID). The lead classification maps are derived from the surface temperature maps (doi:10.1594/PANGAEA.941017) as described in Thielke et al (in preparation). The 5 m resolution data (based on block averaged surface temperature) are included to provide data with a smaller file size so they are easier accessible and available for the comparison of the effect of different spatial resolutions. The binary lead classification is performed with a temperature threshold. In this data set, in addition to the lead ... |
format |
Article in Journal/Newspaper |
author |
Thielke, Linda Huntemann, Marcus Spreen, Gunnar |
author_facet |
Thielke, Linda Huntemann, Marcus Spreen, Gunnar |
author_sort |
Thielke, Linda |
title |
Lead classification maps from helicopter-borne surface temperatures during the MOSAiC expedition ... |
title_short |
Lead classification maps from helicopter-borne surface temperatures during the MOSAiC expedition ... |
title_full |
Lead classification maps from helicopter-borne surface temperatures during the MOSAiC expedition ... |
title_fullStr |
Lead classification maps from helicopter-borne surface temperatures during the MOSAiC expedition ... |
title_full_unstemmed |
Lead classification maps from helicopter-borne surface temperatures during the MOSAiC expedition ... |
title_sort |
lead classification maps from helicopter-borne surface temperatures during the mosaic expedition ... |
publisher |
PANGAEA |
publishDate |
2022 |
url |
https://dx.doi.org/10.1594/pangaea.951569 https://doi.pangaea.de/10.1594/PANGAEA.951569 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Climate change North Atlantic Sea ice |
genre_facet |
Arctic Arctic Ocean Climate change North Atlantic Sea ice |
op_relation |
https://dx.doi.org/10.1594/pangaea.941017 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.95156910.1594/pangaea.941017 |
_version_ |
1801371978757570560 |