Retrieving Sea Ice Information in the Pan-Arctic Region from Synthetic Aperture Radar

• DOI: 10.5194/egusphere-egu24-18063
• Publication Date: 2024-03-11T10:07:27Z
• Authors: Tore Wulf; Jørgen Buus-Hinkler; Suman Singha; Mads Hvid Ribergaard; Till Soya Rasmussen; Matilde Brandt Kr...
• Keywords: Sea ice concentration

The Arctic’s unprecedented transformation due to anthropogenic warming necessitates close monitoring of sea ice understand and address climate change impacts. As the retreats becomes thinner, increased human activity in region emphasizes urgent need for detailed, near real-time information as well improved forecasts maritime safety planning.Current methods Arctic retrieval relies on passive microwave (PMW) sensors, which offer global coverage but struggle capture fine-scale features changes ice. Synthetic Aperture Radar (SAR) imagery, with its high spatial resolution independence from sunlight clouds, is pivotal year-round mapping conditions that carried out manually at national services. Yet, automating SAR-based remains challenging inherent ambiguities observations.Recent advances deep learning vision methodologies show promise retrievals. A robust pan-Arctic system can serve sectors, services, local communities by providing timely, high-resolution information. Furthermore, retrievals be assimilated numerical ocean models, improving crucial sectors.Here, we present a comprehensive approach retrieve concentration calibrated uncertainties Sentinel-1 SAR AMSR-2 PMW observations scale all seasons. Daily products based our methodology will operationally provided part Copernicus Marine Service portfolio end 2024. Further, are process producing daily entire era, began launch Sentinel-1A 2014. Lastly, preliminary results impact assimilating level-2 concentrations gap-filled PMW-based HYCOM-CICE coupled ocean-sea-ice forecasting region.