RBR instruments
Data will generally be processed using a series of run scripts. The first script for each instrument type depends on two configuration files.
Instrument data to raw .cdf
First, export data to text (.zip) format (File -> Export -> Text (*.zip)) from the Ruskin software.
Then use runrskcsv2cdf.py to convert this exported data to a raw netCDF .cdf file.
runrskcsv2cdf.py
Convert exported RBR csv files to raw .cdf format. Run this script from the directory containing the files.
usage: runrskcsv2cdf.py [-h] gatts config
Positional Arguments
- gatts
path to global attributes file (gatts formatted)
- config
path to instrument configuration file (YAML formatted)
Raw .cdf to CF-compliant .nc
Convert the raw .cdf data into an CF-compliant netCDF file with .nc extension using runrskcdf2nc.py, optionally including atmospheric correction of the pressure data.
runrskcdf2nc.py
Convert raw RBR d|wave .cdf format to processed .nc files, optionally compensating for atmospheric pressure
usage: runrskcdf2nc.py [-h] [--atmpres ATMPRES] cdfname
Positional Arguments
- cdfname
raw .cdf filename
Named Arguments
- --atmpres
path to cdf file containing atmopsheric pressure data
Waves processing
Option 1: internal waves code
This option is recommended as it does not require MATLAB. Generate the waves statistics and incorporate them into an CF-compliant netCDF file with .nc extension using runrsknc2waves.py.
runrsknc2waves.py
Generate waves statistics file
usage: runrsknc2waves.py [-h] ncname
Positional Arguments
- ncname
processed .nc filename
Option 2: DIWASP
Run DIWASP (within MATLAB) to produce wave statistics (see scripts/rundiwasp.m for an example run script). DIWASP must be run within MATLAB.
Incorporate the DIWASP statistics into an CF-compliant netCDF file with .nc extension using runrsknc2diwasp.py.