Software tools have been developed for a variety of audiences from beginners to Argo data experts.  Some tools are designed to access data, manipulate it and visualize it while others help Argo experts perform quality control.  In addition, some tools are targeted at the entire Argo collection, while others focus only on BGC or Deep Argo data.

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Visualization and access tools

 

Name Description Target user Language OS Argo mission Website
argopy: Argo data python library Argo data fetching (online and offline), manipulation and visualization beginners, experts python windows, linux, macos All https://github.com/euroargodev/argopy
Argovis API calls
Access the Argovis database via API calls in Matlab and python to make plots of Argo float data, metadata and profiles in a spatial and temporal region of choice.
beginners, experts Matlab, python windows, linux, macos All https://github.com/donatagiglio/Argovis
argoFloats: Tools for analyzing the collections of oceanographic Argo floats in R
The ‘argoFloats’ package provides support for downloading and analyzing Argo float datasets
beginners, experts R windows, linux, macos All https://github.com/ArgoCanada/argoFloats
BGC Float toolboxes GO-BGC toolboxes to access and visualize BGC Argo data beginners, experts Matlab, Python, R windows, linux, macos BGC https://www.go-bgc.org/getting-started-with-go-bgc-data

Quality control tools

Name Description Target user Language OS Argo mission Website
Argo Canada BGC Quality Control Python package for performing DMQC on BGC Argo data which is based heavily on SOCCOM/BGC Argo processing experts Python windows, linux, macos BGC https://github.com/ArgoCanada/bgcArgoDMQC
Deep CTD selection Can be used in the Matlab OWC toolbox to select reference data deeper than a desired pressure level experts Matlab windows, linux, macos Deep https://github.com/ArgoDMQC/Deep_CTD_selection
DM_Cpcor Algorithm that gives a refined estimate of CPcor_new for a float by comparing a Deep-Argo profile to a reference profile experts Matlab windows, linux, macos Deep https://github.com/ArgoDMQC/DM_CPcor
DM_FILLER Code that fills BD files with DM adjustmetns experts R windows, linux, macos BGC https://github.com/catsch/DM_FILLER
File Checker Java code that can be run locally to see if Argo netCDF files will pass File Checker prior to inclusion on GDAC experts Java windows, linux, macos All ftp://usgodae.org/pub/outgoing/argo/etc/FileChecker/
The Matlab OWC toolbox Run the OWC salinity calibration method for DMQC experts Matlab windows, linux, macos Core https://github.com/ArgoDMQC/matlab_owc
LOCODOX Matlab code to estimate DOXY adjustments and fill BD files accordingly experts Matlab windows, linux, macos BGC https://github.com/euroargodev/LOCODOX
MPV: Matlab Profiles Visualization GUI design to help in DMQC of Argo profiles.  It reads the Argo NetCDF files, converts them into MATLAB format, allows Argo profiles selection, produces graphs of temperature and salinity, performs a tailored comparison between the float and reference profiles and provides the main information of float profiles. experts Matlab windows, linux, macos Core https://github.com/euroargodev/matlab_profiles_visualization
PMEL_GUI GUI that QC’s OWC output experts Matlab windows, linux, macos Core https://github.com/ArgoDMQC/PMEL_GUI
RBRargo_DMQC This repository includes resources necessary to improve data quality for the RBRargo3 in Delayed-Mode Quality Control (DMQC). experts Matlab windows, linux, macos Core https://github.com/ArgoDMQC/RBRargo_DMQC
SOCCOM/BGC-Argo processing GUI to do QC on BGC-Argo data in Matlab. Specifically oxygen, pH and NO3- Argo NetCDF files can be read in and compared to reference datasets. experts Matlab windows, linux, macos BGC https://github.com/SOCCOM-BGCArgo/ARGO_PROCESSING
SCOOP-Argo Scoop-Argo visual quality control vizualizes a series of Argo floats NetCDF cycle files. The data are displayed in interactive graphics, with bathymetry, climatology and geographic maps environmental information. Quality Control flags are graphically changed by the User. When changes are recorded, the history section is updated with the list of performed changes. experts Java windows, linux, macos All https://doi.org/10.17882/48531