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.
If you have a tool you’d like to add, please fill out this form and we will review it and contact you.
|argopy: Argo data python library||Argo data fetching (online and offline), manipulation and visualization||beginners, experts||python||windows, linux, macos||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||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||https://github.com/ArgoCanada/argoFloats|
|The Matlab OWC toolbox||Run the OWC salinity calibration method for DMQC||experts||Matlab||windows, linux, macos||https://github.com/ArgoDMQC/matlab_owc|
|MPV: Matlab Profiles Visualization||GUI to reads the Argo NetCDF files, converts the files in 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||https://github.com/euroargodev/matlab_profiles_visualization|
|PMEL_GUI||GUI that QC’s OWC output||experts||Matlab||windows, linux, macos||https://github.com/ArgoDMQC/PMEL_GUI|
|SOCCOM/BGC-Argo processing||GUI to do QC on BGC-Argo data in Matlab. Specifcally oxygen, pH and NO3- Argo NetCDF files can be read in and compared to reference datasets||experts||Matlab||windows, linux, macos||https://github.com/SOCCOM-BGCArgo/ARGO_PROCESSING|
|SCOOP-Argo||Scoop-Argo visual quality control vizualises 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||https://doi.org/10.17882/48531|