Basic Features

This section provides detailed guides for the core features of OceanGraph. These features enable you to search, visualize, and analyze Argo float data effectively.

Search and Bookmark allows you to find Argo float profiles using geographic, temporal, and data quality criteria, and bookmark profiles for future reference.

Trajectory and Time-Series Vertical Section visualizes how oceanographic parameters change with depth and time along a float's trajectory, providing a comprehensive view of the water column structure throughout the float's journey.

θ-S Diagram helps you explore potential temperature-absolute salinity relationships of Argo float profiles in your search area, enabling identification of water masses and their characteristics.

Clustering uses machine learning to group Argo profiles based on their vertical structure. This experimental feature helps identify similar oceanographic conditions across multiple profiles.

Mixed Layer Depth (MLD) calculates the mixed layer depth from Argo float profiles using multiple oceanographic parameters (potential temperature, absolute salinity, and potential density) with the Gibbs SeaWater Oceanographic Toolbox.

Subsurface Oxygen Maximum (SOM) identifies and analyzes the subsurface oxygen maximum layer, which characterizes the vertical structure of dissolved oxygen, particularly in subtropical and tropical regions.