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Combining numerical models and machine learning to study the evolution of the Salish Sea Spatial domain of the SalishSeaCast model. In particular, I am seeking to use SalishSeaCast outputs to predict how the physics, chemistry and ecology of the Salish Sea will change in the future. To identify potential dominant drivers of key ecosystem processes, I am using supervised and unsupervised learning methods to analyze high-dimensional spatio-temporal model output. Results from this work will be used to identify dominant drivers for further study and improved future projections.