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Circum-Antarctic sea-ice lead frequencies and regional characteristics from satellite imagery

Subject Area Oceanography
Geodesy, Photogrammetry, Remote Sensing, Geoinformatics, Cartography
Term from 2016 to 2021
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 314974661
 
Final Report Year 2020

Final Report Abstract

Based on the project, a novel observational lead data set in the Antarctic was derived. Therefore, we have adjusted the existing Arctic lead retrieval algorithm and implemented major improvements. A two‐level processing is used to identify potential sea ice leads in individual MODIS tiles, from which cloud artefacts are subsequently separated from true lead observations. Furthermore, a retrieval uncertainty is calculated providing detailed information on the reliability of the data product on a pixel‐basis. The dataset covers the winter months April to September 2003 to 2019 and the algorithm allows an operational and continuous identification of daily sea ice leads. Long‐term and monthly averaged maps of lead frequencies are derived and analyzed. In the long‐term average, we identified several hot‐spot regions in the Southern Ocean, where sea ice leads occur more frequently compared to other areas. These are the coastline, the continental shelf break, and several features in the deep sea. Particularly the continental shelf break is interesting and results from a regional model configuration of the ice‐ocean model NEMO‐LIM 3.6 are used to identify certain regions of increased divergence. Monthly averages suggest that the variability and frequency decreases towards September in several hot‐spot regions. However, further analysis and additional data are needed to investigate the impact of external forcing. Particularly results from ocean models are needed at comparable high spatial resolution to relate the results to the lead observations.

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