Lead classification maps from helicopter-borne surface temperatures with 1 m resolution during the MOSAiC expedition ...

• Main Authors: Thielke, Linda, Huntemann, Marcus, Spreen, Gunnar
• Format: Dataset
• Language: English
• Published: PANGAEA 2022
• Subjects: Arctic; Helicopter; leads; MOSAiC20192020; Sea ice; Event label; Flight number; DATE/TIME; Comment; Binary Object; Binary Object File Size; 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; Arctic Ocean; Climate change; North Atlantic
• Online Access: https://dx.doi.org/10.1594/pangaea.951568; https://doi.pangaea.de/10.1594/PANGAEA.951568

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 ...