A python library for Argo data beginners and experts
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Updated
Dec 23, 2024 - HTML
Argo is an international program that measures water properties across the world’s ocean using a fleet of robotic instruments that drift with the ocean currents and move up and down between the surface and a mid-water level. Each instrument (float) spends almost all its life below the surface. The name Argo was chosen because the array of floats works in partnership with the Jason earth observing satellites that measure the shape of the ocean surface. (In Greek mythology Jason sailed on his ship the Argo in search of the golden fleece).
A python library for Argo data beginners and experts
A MATLAB toolbox for interacting with bulk freely-available oceanographic data.
Here you can find find the source code of the Argo Online school.
A public forum to talk about Quality Control of Argo measurements
Argo float salinity calibration software
R tool for accessing, processing, and visualizing BGC Argo
Improve reference profile selection for DMQC using a Profile Classification Model (PCM)
Make and analyse simulations of virtual Argo float trajectories
python package for performing DMQC on BGC-Argo data
Showcase how to easily access Argo data
Proposed tests for RTQC of BBP700 data
Figures for DMQC statistics for a given list of floats
Checking the status of the CTD Reference database (RDB)
Development of a complete, infrastructure agnostic, Argo near real-time quality control test toolbox in Python
Argo data management manuals, cookbooks and reference tables