Variability in the Atlantic Meridional Overturning Circulation and Heat Transport Detected Remotely from Argo Floats

Available data for ocean temperature, salinity, and current at the present time do not have sufficient resolution to describe the variability in Atlantic Meridional Overturning Circulation (AMOC). To fill the gap, we are working on near real-time 3D synoptic temperature, salinity, and velocity (STSV) datasets from remotely sensed Argo profiling and trajectory data together with the Global Temperature-Salinity Profile Program (GTSPP), Navy's MOODS, and the OSCAR data using the optimal spectral decomposition (OSD) method. With establishment of the STSV dataset, the AMOC variability can be effectively detected and predicted.