Integration of models and observations across scales (InMOS): A novel data synthesis framework for diagnosing the coupled cycles of ocean carbon, oxygen, and heat
InMOS is developing a combined multi-scale state estimate of ocean heat, carbon, and oxygen budgets for the past 35 years, with the aim of both reducing uncertainties in these budgets and achieving an unprecedented level of understanding of the physical and biogeochemical processes affecting these interlinked cycles.
Significant uncertainties remain in the global ocean budgets for carbon, oxygen, and heat and their response to anthropogenic climate change and natural variability. These uncertainties are perpetuated by the challenge of integrating atmospheric and oceanic data into global data assimilation models and the difficulty of representing in these models both the large-scale mean state and its small-scale spatial and temporal variability. Leveraging advances in multi-scale machine learning and ocean modeling, InMOS will develop new observational data products, including new atmospheric O2 measurements in the southern subtropics, and multi-scale models for quantifying and understanding multidecadal changes in oceanic and atmospheric cycles of heat, oxygen, and carbon on regional to global scales. This collaboration is led by Tim DeVries (University of California, Santa Barbara) and Ralph Keeling (Scripps Institution of Oceanography) and brings together ocean and atmosphere observational and modeling communities.
