A python library for Argo data beginners and experts
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Updated
Sep 23, 2024 - Python
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.
R tool for accessing, processing, and visualizing BGC Argo
This repository contains the code to post-process data from RBR CTDs on Argo floats
Argo float salinity calibration software
Figures for DMQC statistics for a given list of floats
Make and analyse simulations of virtual Argo float trajectories
A Matlab GUI to work with Argo data
Script to calculate calculate the distance to the ice (edge) from a given position (& date)
Development of a complete, infrastructure agnostic, Argo near real-time quality control test toolbox in Python
A public forum to talk about Quality Control of Argo measurements
Report template and Matlab codes used to generate DMQC report for core Argo parameters
All the presentations at the virtual DOXY meeting of the 20th November 2020
python package for performing DMQC on BGC-Argo data