Strategies, Challenges, and Implications of Mapping Ocean Interior Biogeochemical Observations Over Time

Over the last two decades, the number of available observations of ocean chemical and biological parameters has greatly increased due in large part to deployments of autonomous sensors. This shift has motivated efforts to map ocean interior biogeochemistry, often relying on machine learning approaches that are becoming more widespread and powerful computational resources that are becoming more accessible. I’ll discuss a recent effort to leverage the global biogeochemical Argo array and other observational resources to map ocean interior oxygen, along with ongoing work to expand that project by mapping additional biogeochemical parameters, significantly increasing the spatiotemporal resolution of the maps, and advancing the evaluation of mapping uncertainty through rigorous model simulation experiments.