Marine pollution, such as natural and anthropogenic oil slicks, are of great concern. Surface oil slicks become a great hazard if they reach coastal or sea ice infested areas. Lower concentration levels of submerged substances, e.g., from produced water releases, can have a harmful effect on marine organisms in the long term. Operational ocean surveillance relies heavily on remote sensing data for detection, and ocean circulation models are commonly used to forecast and evaluate drift patterns and concentration changes. Localization, monitoring and slick redistribution information from remote sensing techniques is essential for a fast response and effective clean-up operation. Mapping of submerged substances relies more on ocean circulation modeling and in-situ measurements. Surveillance is still manual-labor intensive, though increased availability of free remote sensing images through, e.g. the Sentinel satellites, has opened up possibilities for developments of automated and semi-automated techniques for oil slick detection, characterization and tracking.
Within this session we welcome contributions covering all aspects of circulation and drift modelling for marine pollution as well as further developments on ocean surveillance using a range of satellites, including but not limited to synthetic aperture radar and optical sensors. Submissions with a focus on observation-model synthesis and interdisciplinary studies are particularly encouraged.
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