A virtual mini-symposium on The Mathematics of Arctic Data, originally scheduled to take place at the SIAM Conference on Mathematics of Data Science will now be held via Zoom.
A rapidly warming climate is leading to widespread melting of ice across the Arctic. At the same time, the volume and complexity of data on ice melting grow rapidly since many new tools (such as remote sensing, high-performance computing, etc.) for ice observation and modeling are now available. Recently, many data-driven physical models of the ice melting have been developing with converging of different mathematical techniques such as data assimilation, geometrical and topological data analysis, neural networks data analysis, etc. Simultaneously, the complex structure of Arctic data leads to discovering unexplored phenomena where new mathematics requires. In this mini-symposium, we present the speakers from mathematics as well from geoscience to discuss how mathematics helps in Arctic data analysis and modeling and how the complex Arctic data may be urging new mathematics.
The full information about this event, zoom link, and materials can be found on the web-page.