Graph-Based Deep Learning for Sea Surface Temperature Anomaly Forecasts

Ding Ning (PhD Student, University of Canterbury) talked about his research on using graph re-sampling on the gridded ERA5 product and a graph neural network for learning from large graphs that evolve over time, to forecast global monthly mean sea surface temperatures and their anomalies.