This work addresses a critical observational gap in the Southern Ocean — one of the most important regions for carbon uptake — by integrating comprehensive Argo float observations with historical ship-based measurements. Our findings demonstrate the feasibility of using machine learning models to integrate observations, and support in-depth analyses of carbon transport and storage mechanisms. This can foster broader utilization of Argo floats data in ocean carbon research.