PyGlider converts raw glider files to NetCDF timeseries and netcdf depth-time grids,
using python and based on {ref}xarray. The NetCDF files should be largely CF compliant.
The basic workflow is three glider-dependent steps to make a netcdf timeseries, followed by optional steps to create profiles or depth-time grids.
seaexplorer.raw_to_rawnc(rawdir, rawncdir, deploymentyaml)
seaexplorer.merge_parquet(rawncdir, rawncdir, deploymentyaml, kind='sub')
outname = seaexplorer.raw_to_timeseries(rawncdir, tsdir, deploymentyaml, kind='sub')
# optional...
ncprocess.extract_timeseries_profiles(outname, profiledir, deploymentyaml)
outname2 = ncprocess.make_gridfiles(outname, griddir, deploymentyaml)
# optional plotting
pgplot.grid_plots(outname2, plottingyaml)Data comes from and is written in directories, and metadata is supplied by a yaml file.
Currently only Alseamar SeaExplorer and Teledyne/Webb Slocum glider data files are supported, and those with limited configurations. Other gliders will hopefully be added. If you have a glider type or configuration you would like added, open an issue or pull request!.
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Install
getting-started-seaexplorer
getting-started-slocum
pyglider/pyglider
- Slocum binary translator based on https://gitlab.oceantrack.org/ocean-gliders-canada/dinkum/tree/seabBranch_py3
- Processing steps closely follow the work by SOCIB https://github.com/socib/glider_toolbox
- Rutger's description of the Slocum binary files is very helpful: https://github.com/kerfoot/spt/wiki/Slocum-Glider-Data-File-Primer
- The metadata format for NGDAC is here: https://ioos.github.io/ioosngdac