The Eighth International Symposium on Arctic Research (ISAR-8)

Chair: Jun Ono (National Institute of Polar Research)

S5 : This session addresses the critical role of sea ice in the Earth's climate system, highlighting recent Arctic and Antarctic trends observed via satellite. It seeks contributions focused on enhancing sea ice prediction through integrated approaches, including observations, modeling, and theoretical studies. Emphasis is placed on improving forecast accuracy and exploring practical applications in marine ecosystems, socio-economic planning, and Arctic shipping. The session also welcomes interdisciplinary insights from the humanities and social sciences to tackle the complex implications of sea ice change.
S6 : Sea ice is a vital component of Earth's climate system, and improving its monitoring and modeling is essential for understanding environmental change in polar regions and informing global mitigation and adaptation strategies. Despite recent advances, significant observational and modeling gaps remain. This session highlights the growing role of Machine Learning (ML) in enhancing sea ice research by improving predictive accuracy, addressing data voids, and correcting model biases across various climate scenarios. It will showcase interdisciplinary approaches-including remote sensing, in-situ measurements, and physical modeling-that integrate ML techniques to better forecast sea ice dynamics. Bringing together experts in sea ice physics, biology, biogeochemistry, remote sensing, and data science, the session aims to foster cross-disciplinary collaboration, spotlight innovative methodologies, and outline challenges and opportunities in this fast-evolving field.