The world oceans are poorly sampled to understand the inter-relationships between the biological, physical and climatological changes taking place rapidly, especially in northern waters relevant to Norway. The poor state of sampling is in part due to lack of modern tools and methods (including robotics and satellite remote sensing) being applied in a focused and cohesive manner at spatio-temporal scales across the micro and macro domains which are tightly correlated. There is need for designing, implementing and testing algorithms for efficient sampling of the oceans, and to have the broader impact of commingling methods in statistics, oceanography and automated control including artificial intelligence for adaptive sampling. The target groups for the workshop are researchers with background and interest in oceanographic modeling and data, spatial statistics and machine learning, control engineering and adaptive sampling. This is an interactive workshop, and participants are expected to take an active role in discussions, sparking interest, and to encourage multidisciplinary work in new directions. Each speaker should talk not just about what they do, but also provide a perspective of their respective disciplines and its principal challenges for contributing to the ocean sciences.
Project leader: Jo Eidsvik