Beispiel #1
0
def main(radial_file, save_path, qc_values):
    """
    Main function to parse and qc radial files
    :param radial_file: Path to radial file
    :param save_path: Path to save quality controlled radial file
    :param qc_values: Dictionary containing thresholds for each QC test
    """
    try:
        r = Radial(radial_file)
    except Exception as err:
        logging.error('{} - {}'.format(radial_file, err))
        return

    if r.is_valid():
        # run high frequency radar qartod tests on open radial file
        r.initialize_qc()
        r.qc_qartod_syntax()
        r.qc_qartod_maximum_velocity(**qc_values['qc_qartod_maximum_velocity'])
        r.qc_qartod_valid_location()
        r.qc_qartod_radial_count(**qc_values['qc_qartod_radial_count'])
        r.qc_qartod_spatial_median(**qc_values['qc_qartod_spatial_median'])
        # r.qc_qartod_avg_radial_bearing(qc_values['average_bearing_threshold'])

        # Export radial file to either a radial or netcdf
        try:
            r.export(os.path.join(save_path, r.file_name), 'radial')
        except ValueError as err:
            logging.error('{} - {}'.format(radial_file, err))
            pass
Beispiel #2
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def test_wera_qc():
    radial_file = data_path / 'radials' / 'WERA' / 'RDL_csw_2019_10_24_162300.ruv'
    rad1 = Radial(radial_file, mask_over_land=False, replace_invalid=False)
    assert len(rad1.data) == 6327
    rad1.mask_over_land()
    rad1.qc_qartod_radial_count()
    rad1.qc_qartod_valid_location()
    rad1.qc_qartod_maximum_velocity()
    rad1.qc_qartod_spatial_median()
    assert len(rad1.data) == 5745
    assert 'QC07' in rad1.data
    assert 'QC08' not in rad1.data  # no VFLG column so we can't run it
    assert 'QC09' in rad1.data
    assert 'QC10' in rad1.data
Beispiel #3
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def test_wera_raw_to_quality_nc():
    radial_file = data_path / 'radials' / 'WERA' / 'RDL_csw_2019_10_24_162300.ruv'
    nc_file = output_path / 'radials_qc_nc' / 'WERA' / 'RDL_csw_2019_10_24_162300.nc'
    rad1 = Radial(radial_file, mask_over_land=False, replace_invalid=False)
    rad1.mask_over_land()
    rad1.qc_qartod_radial_count()
    rad1.qc_qartod_valid_location()
    rad1.qc_qartod_maximum_velocity()
    rad1.qc_qartod_spatial_median()
    rad1.export(str(nc_file), file_type='netcdf')

    xds2 = rad1.to_xarray(enhance=True)

    with xr.open_dataset(nc_file) as xds1:
        assert len(xds1.QCTest) == 3  # no VFLG column so one test not run
        # The two enhanced files should be identical
        assert xds1.identical(xds2)