Sea ice lead fractions from multiple sensors in the Transpolar Drift during MOSAiC 2019/2020

Divergent sea ice motion breaks the ice and opens fractures and leads. Depending on the air temperature, those open-water areas can quickly refreeze. The open water or thin ice in leads play a crucial role in the heat and gas exchange between the ocean and the atmosphere, impacting atmospheric, ecological, and oceanic processes. Leads can be detected from space, using different types of instruments, e.g., thermal infrared, passive microwave, active microwave, or optical sensors. The retrieval methods have different sensitivities, especially concerning the minimum lead width and the maximum ice thickness, different spatial resolutions, and different limits. We presented a time series of lead fractions from different lead products (Oct 2019 - May 2020) along the drift of the Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition in the Transpolar Drift. We compared 7 different lead products based on 1. accumulated divergence derived from SAR images, 2. divergence in linear kinematic features, 3. classified SAR data, 4. thermal infrared data from MODIS, 5. passive microwave data from AMSR-2, 6. radar altimetry from CryoSat-2 (lead fractions and total lead count), and 7. thermal infrared data from helicopter surveys. We extracted daily lead fractions in a circle with a radius of 50 km along the drift of MOSAiC. Data is available from 5 October 2019 to 15 May 2020 with shorter time series for some of the sensors. We found that the mean lead fractions varied by 1 magnitude across different lead products due to different physical lead and sea ice properties observed by the sensors and methodological factors such as spatial resolution. Thus, the choice of lead product should align with the specific application. Each file contains time and lead fraction for a circular area (radius 50 km) around the MOSAiC position of the particular time stamp. The thermal infrared data from helicopter surveys are available from doi:10.1594/PANGAEA.951569.

Identifier
DOI https://doi.org/10.1594/PANGAEA.963736
PID https://hdl.handle.net/10013/epic.eee8e1c4-56fd-4127-89c0-9bfddb9ec38b
Related Identifier References https://doi.org/10.1594/PANGAEA.951569
Related Identifier IsDerivedFrom https://doi.org/10.1594/PANGAEA.962308
Related Identifier IsDerivedFrom https://doi.org/10.1594/PANGAEA.963671
Related Identifier IsDerivedFrom https://doi.org/10.1594/PANGAEA.955561
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.963736
Provenance
Creator von Albedyll, Luisa ORCID logo; Hendricks, Stefan ORCID logo; Hutter, Nils ORCID logo; Murashkin, Dmitrii ORCID logo; Kaleschke, Lars ORCID logo; Willmes, Sascha ORCID logo; Thielke, Linda ORCID logo; Tian-Kunze, Xiangshan ORCID logo
Publisher PANGAEA
Publication Year 2024
Funding Reference Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven https://doi.org/10.13039/501100003207 Crossref Funder ID AFMOSAiC-1_00 Multidisciplinary drifting Observatory for the Study of Arctic Climate; Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven https://doi.org/10.13039/501100003207 Crossref Funder ID AWI_PS122_00 Multidisciplinary drifting Observatory for the Study of Arctic Climate / MOSAiC
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 14 data points
Discipline Earth System Research
Spatial Coverage (-6.126W, 53.559S, 119.242E, 88.591N); Arctic Ocean
Temporal Coverage Begin 2019-09-20T17:30:00Z
Temporal Coverage End 2020-10-12T06:00:00Z