Archive Processing#
DISDROB enables to process the data from the command line or by calling a python function. The following sections describe how to use the disdrodb software to generate DISDRODB L0B netCDF files.
Launch DISDRODB L0 processing for a specific station#
Command line solution
disdrodb_run_l0_station <data_source> <campaign_name> <station_name> [parameters]
Example:
disdrodb_run_l0_station EPFL_2008 10 --l0a_processing True --l0b_processing True --force True --verbose True --parallel False
Type disdrodb_run_l0_station --help in the terminal to get more information on the possible parameters.
Pythonic solution
import disdrodb
disdrodb.run_l0_station(data_source, campaign_name, station_name, **kwargs)
Example :
import disdrodb
data_source = "EPFL"
campaign_name = "EPFL_2008"
station_name = "10"
# L0 processing settings
l0a_processing = True
l0b_processing = True
l0c_processing = True
remove_l0a = False
remove_l0b = False
# L0 processing options
force = True
verbose = True
debugging_mode = True
parallel = False
# Run the processing
disdrodb.run_l0_station(
data_archive_dir=data_archive_dir,
data_source=data_source,
campaign_name=campaign_name,
station_name=station_name,
# L0 processing settings
l0a_processing=l0a_processing,
l0b_processing=l0b_processing,
l0c_processing=l0c_processing,
remove_l0a=remove_l0a,
remove_l0b=remove_l0b,
# L0 processing options
parallel=parallel,
verbose=verbose,
force=force,
debugging_mode=debugging_mode,
)
Launch DISDRODB L0 processing for a set of stations#
DISDRODB offers an utility to run the process of multiple stations with a single command.
In the code example below, if --data_sources, --campaign_names, --station_names
are not specified, the command will process all stations available within the local DISDRODB Data Archive.
Starting from all the available stations, the optional specification of the --data_sources , --campaign_names
and --station_names will restrict the stations that will be processed.
For example:
if only the
--campaign_namesargument is specified, DISDRODB will process only the stations of such campaigns.if only the
--data_sourcesargument is specified, DISDRODB will process all the stations of such data sources.if only the
--station_namesargument is specified, DISDRODB will process only the specified stations.
Command line solution
disdrodb_run_l0 --data_sources <data_sources> --campaign_names <campaign_names> --station_names <station_names> [parameters]
Example :
disdrodb_run_l0 --campaign_names EPFL_2008 --l0a_processing True --l0b_processing True --parallel False
To specify multiple campaigns you can do the follow
disdrodb_run_l0 --campaign_names 'EPFL_2008 LOCARNO_2018' --l0a_processing True --l0b_processing True --parallel False
Type disdrodb_run_l0 --help in the terminal to get more information on the possible parameters.
Pythonic solution
import disdrodb
disdrodb.run_l0(data_source, campaign_name, **kwargs)
Example :
import disdrodb
data_sources = ["EPFL"]
campaign_names = ["EPFL_2008"]
# L0 processing settings
l0a_processing = True
l0b_processing = True
l0c_processing = True
remove_l0a = False
remove_l0b = False
# L0 processing options
force = True
verbose = True
debugging_mode = True
parallel = False
disdrodb.run_l0(
data_archive_dir=data_archive_dir,
data_sources=data_sources,
campaign_names=campaign_names,
# station_names=station_names,
# L0 processing settings
l0a_processing=l0a_processing,
l0b_processing=l0b_processing,
l0c_processing=l0c_processing,
remove_l0a=remove_l0a,
remove_l0b=remove_l0b,
# L0 processing options
parallel=parallel,
verbose=verbose,
force=force,
debugging_mode=debugging_mode,
)
Note
This documentation section is in preparation and will be updated soon !
Other arguments to describe
station_name: str - Name of the station to be processed.force: bool [true| false ] - Whether to overwrite existing data.If
True, overwrite existing data into destination directories.If
False, raise an error if there are already data into destination directories.
verbose: bool [true| false ] - Whether to print detailed processing information into terminal.debugging_mode: bool [true| false ] - IfTrue, it reduces the amount of data to process.It processes just 3 raw data files.
parallel: bool [true| false ] - Whether to process multiple files simultaneously.If
parallel=False, the raw files are processed sequentially.If
parallel=True, each file is processed in a separate core.