The overarching goal of this project is to develop and demonstrate principled Bayesian intelligent ocean modeling and acidification prediction systems that discriminate among and infer new ocean acidification (OA) models, rigorously learning from data-model misfits and accounting for uncertainties, so as better monitor, predict, and characterize OA over time-scales of days to months in the Massachusetts Bay and Stellwagen Bank region.