pycif.plugins.datastreams.fluxes.CAMSREG_nc — API reference

Configuration reference: CAMSREG_nc plugin

pycif.plugins.datastreams.fluxes.CAMSREG_nc.fetch.fetch(ref_dir, ref_file, input_interval, target_dir, tracer=None, **kwargs)

Parameters:

• ref_dir – directory where the original files are found

• ref_file – (template) name of the original files

• input_interval – list of the periods to simulate, each item is the list of the dates of the period

• target_dir – directory where the links to the orginal files are created

• tracer

• kwargs

Returns:

list_files: for each date that begins a period, an array containing

the names of the files that are available for the dates within this period

list_dates: for each date that begins a period, an array containing

the names of the dates mathcin the files listed in list_files

pycif.plugins.datastreams.fluxes.CAMSREG_nc.get_domain.get_domain(ref_dir, ref_file, input_interval, target_dir, tracer=None)

Args:

ref_dir: directory where the original files are found ref_file: (template) name of the original files input_interval: list of the periods to simulate, each item is the list of the dates of the period target_dir: directory where the links to the orginal files are created

Ouputs:

setup of the domain in section “Initializes domain”

pycif.plugins.datastreams.fluxes.CAMSREG_nc.get_domain.get_area_domain(tracer)

pycif.plugins.datastreams.fluxes.CAMSREG_nc.get_domain.get_point_domain(tracer)

pycif.plugins.datastreams.fluxes.CAMSREG_nc.read.read(self, name, varnames, dates, files, interpol_flx=False, comp_type=None, tracer=None, **kwargs)

Get fluxes from raw files and load them into a pyCIF variables

pycif.plugins.datastreams.fluxes.CAMSREG_nc.utils.find_valid_file(ref_dir, file_format, dd, ref_dir_next, ref_dir_previous=False)

pycif.plugins.datastreams.fluxes.CAMSREG_nc.write.write(self, name, flx_file, flx, mode='a', **kwargs)