From objective discovery to prediction of global ocean eco-provinces: A pathway for trustworthy learning
This work uses unsupervised machine learning to identify eco-provinces with corresponding uncertainty measures based on output of a global simulation of phytoplankton functional types and develops a hierarchy of explainable dense ensemble networks to infer how well the eco-provinces can be detected from modeled ocean c...