ocean-data

What problem does it solve?

This Skill helps you retrieve and process oceanographic temperature, salinity, and current data from public sources so you can compute scientifically meaningful derived quantities and visuals without manual, error-prone data wrangling.

Core Features & Use Cases

• Copernicus Marine Service downloads: Select datasets by product ID, spatial/temporal bounds, and variables, then open them as xarray datasets for analysis.
• Argo float profile processing: Download in-situ float profiles and compute metrics like mixed layer depth (MLD) from T/S/P data.
• TEOS-10 derived ocean physics: Use gsw to convert to Absolute Salinity (SA) and Conservative Temperature (CT), then compute potential density and related diagnostics.
• EKE and visualization workflows: Derive eddy kinetic energy from gridded altimetry anomalies and visualize T-S relationships and geophysical maps.
• Typical research pipeline: Combine reanalysis/model fields with in-situ Argo observations to support ocean-climate studies and operational-style monitoring.

Quick Start

Tell the AI to download a Copernicus SST subset for a region and period, pull Argo profiles for the same time window, compute MLD using a density threshold, and generate an EKE map plus a T-S diagram from the retrieved data.