def main(argv=None):
"""
Download the PCO2A data from the Gold Copy THREDDS server and create the
QARTOD gross range and climatology test lookup tables.
"""
# setup the input arguments
args = inputs(argv)
site = args.site
node = args.node
sensor = args.sensor
cut_off = args.cut_off
# create the initial HITL annotation blocks, the QARTOD gross range and climatology lookup values, and
# the climatology table for the pco2_seawater parameter
annotations, gr_lookup, clm_lookup, atm_table, ssw_table = generate_qartod(
site, node, sensor, cut_off)
# save the resulting annotations and qartod lookups and tables
out_path = os.path.join(os.path.expanduser('~'), 'ooidata/qartod/pco2a')
out_path = os.path.abspath(out_path)
if not os.path.exists(out_path):
os.makedirs(out_path)
# save the annotations to a csv file for further processing
csv_names = [
'id', 'subsite', 'node', 'sensor', 'method', 'stream', 'parameters',
'beginDate', 'endDate', 'exclusionFlag', 'qcFlag', 'source',
'annotation'
]
anno_csv = '-'.join([site, node, sensor]) + '.quality_annotations.csv'
annotations.to_csv(os.path.join(out_path, anno_csv),
index=False,
columns=csv_names)
# save the gross range values to a csv for further processing
csv_names = [
'subsite', 'node', 'sensor', 'stream', 'parameter', 'qcConfig',
'source'
]
gr_csv = '-'.join([site, node, sensor]) + '.gross_range.csv'
gr_lookup.to_csv(os.path.join(out_path, gr_csv),
index=False,
columns=csv_names)
# save the climatology values and table to a csv for further processing
csv_names = [
'subsite', 'node', 'sensor', 'stream', 'parameters',
'climatologyTable', 'source'
]
clm_csv = '-'.join([site, node, sensor]) + '.climatology.csv'
atm_tbl = '-'.join([site, node, sensor]) + '-partial_pressure_co2_atm.csv'
ssw_tbl = '-'.join([site, node, sensor]) + '-partial_pressure_co2_ssw.csv'
clm_lookup.to_csv(os.path.join(out_path, clm_csv),
index=False,
columns=csv_names)
with open(os.path.join(out_path, atm_tbl), 'w') as clm:
clm.write(atm_table[0])
with open(os.path.join(out_path, ssw_tbl), 'w') as clm:
clm.write(ssw_table[0])
def main(argv=None):
"""
Download the PRESF data from the Gold Copy THREDDS server and create the
QARTOD gross range and climatology test lookup tables.
"""
# setup the input arguments
args = inputs(argv)
site = args.site
node = args.node
sensor = args.sensor
cut_off = args.cut_off
# create the QARTOD gross range and climatology lookup values and tables
annotations, gr_lookup, clm_lookup, clm_table = generate_qartod(
site, node, sensor, cut_off)
# save the downloaded annotations and qartod lookups and tables
out_path = os.path.join(os.path.expanduser('~'), 'ooidata/qartod/presf')
out_path = os.path.abspath(out_path)
if not os.path.exists(out_path):
os.makedirs(out_path)
# save the annotations to a csv file for further processing
anno_csv = '-'.join([site, node, sensor]) + '.quality_annotations.csv'
annotations.to_csv(os.path.join(out_path, anno_csv),
index=False,
columns=ANNO_HEADER)
# save the gross range values to a csv for further processing
gr_csv = '-'.join([site, node, sensor]) + '.gross_range.csv'
gr_lookup.to_csv(os.path.join(out_path, gr_csv),
index=False,
columns=GR_HEADER)
# save the climatology values and table to a csv for further processing
clm_csv = '-'.join([site, node, sensor]) + '.climatology.csv'
clm_lookup.to_csv(os.path.join(out_path, clm_csv),
index=False,
columns=CLM_HEADER)
parameters = [
'seawater_temperature', 'abs_seafloor_pressure',
'seawater_temperature', 'abs_seafloor_pressure',
'presf_tide_temperature', 'presf_tide_pressure'
]
for i in range(len(parameters)):
tbl = '-'.join([site, node, sensor, parameters[i]]) + '.csv'
with open(os.path.join(out_path, tbl), 'w') as clm:
clm.write(clm_table[i])
def main(argv=None):
"""
Download the PHSEN data from the Gold Copy THREDDS server and create the
QARTOD gross range and climatology test lookup tables.
"""
# setup the input arguments
args = inputs(argv)
site = args.site
node = args.node
sensor = args.sensor
cut_off = args.cut_off
# create the initial HITL annotation blocks, the QARTOD gross range and climatology lookup values, and
# the climatology table for the seawater_ph parameter
annotations, gr_lookup, clm_lookup, clm_table = generate_qartod(
site, node, sensor, cut_off)
# save the resulting annotations and qartod lookups and tables
out_path = os.path.join(os.path.expanduser('~'), 'ooidata/qartod/phsen')
out_path = os.path.abspath(out_path)
if not os.path.exists(out_path):
os.makedirs(out_path)
# save the annotations to a csv file for further processing
anno_csv = '-'.join([site, node, sensor]) + '.quality_annotations.csv'
annotations.to_csv(os.path.join(out_path, anno_csv),
index=False,
columns=ANNO_HEADER)
# save the gross range values to a csv for further processing
gr_csv = '-'.join([site, node, sensor]) + '.gross_range.csv'
gr_lookup.to_csv(os.path.join(out_path, gr_csv),
index=False,
columns=GR_HEADER)
# save the climatology values and table to a csv for further processing
clm_csv = '-'.join([site, node, sensor]) + '.climatology.csv'
clm_tbl = '-'.join([site, node, sensor]) + '-seawater_ph.csv'
clm_lookup.to_csv(os.path.join(out_path, clm_csv),
index=False,
columns=CLM_HEADER)
with open(os.path.join(out_path, clm_tbl), 'w') as clm:
clm.write(clm_table[0])
