def main():
# Setup needed parameters for the request, the user would need to vary these to suit their own needs and
# sites/instruments of interest. Site, node, sensor, stream and delivery method names can be obtained from the
# Ocean Observatories Initiative web site. The last two parameters (level and instrmt) will set path and naming
# conventions to save the data to the local disk.
site = 'CE02SHSM' # OOI Net site designator
node = 'SBD12' # OOI Net node designator
sensor = '04-PCO2AA000' # OOI Net sensor designator
stream = 'pco2a_a_dcl_instrument_air_recovered' # OOI Net stream name
method = 'recovered_host' # OOI Net data delivery method
level = 'buoy' # local directory name, level below site
instrmt = 'pco2a' # local directory name, instrument below level
# We are after recovered_host data. Determine list of deployments and use the last, presumably currently active,
# deployment to determine the start and end dates for our request.
vocab = get_vocabulary(site, node, sensor)[0]
deployments = list_deployments(site, node, sensor)
deploy = deployments[-1]
start, stop = get_deployment_dates(site, node, sensor, deploy)
# request and download the data -- air measurements
r = m2m_request(site, node, sensor, method, stream, start, stop)
air = m2m_collect(r, ('.*deployment%04d.*PCO2A.*air.*\\.nc$' % deploy))
air = air.where(air.deployment == deploy,
drop=True) # limit to the deployment of interest
# request and download the data -- water measurements
r = m2m_request(site, node, sensor, method,
'pco2a_a_dcl_instrument_water_recovered', start, stop)
water = m2m_collect(r, ('.*deployment%04d.*PCO2A.*water.*\\.nc$' % deploy))
water = water.where(water.deployment == deploy,
drop=True) # limit to the deployment of interest
# clean-up and reorganize the air and water datasets
air = pco2a_datalogger(air, True)
air = update_dataset(air, vocab['maxdepth'])
water = pco2a_datalogger(water, True)
water = update_dataset(water, vocab['maxdepth'])
# save the data -- utilize groups for the air and water datasets
out_path = os.path.join(CONFIG['base_dir']['m2m_base'], site.lower(),
level, instrmt)
out_path = os.path.abspath(out_path)
if not os.path.exists(out_path):
os.makedirs(out_path)
out_file = ('%s.%s.%s.deploy%02d.%s.%s.nc' %
(site.lower(), level, instrmt, deploy, method, stream))
nc_out = os.path.join(out_path, out_file)
air.to_netcdf(nc_out,
mode='w',
format='NETCDF4',
engine='netcdf4',
group='air')
water.to_netcdf(nc_out,
mode='a',
format='NETCDF4',
engine='netcdf4',
group='water')
def main():
# Setup needed parameters for the request, the user would need to vary these to suit their own needs and
# sites/instruments of interest. Site, node, sensor, stream and delivery method names can be obtained from the
# Ocean Observatories Initiative web site. The last two will set path and naming conventions to save the data
# to the local disk
site = 'CE02SHSM' # OOI Net site designator
node = 'RID26' # OOI Net node designator
sensor = '06-PHSEND000' # OOI Net sensor designator
stream = 'phsen_abcdef_dcl_instrument' # OOI Net stream name
method = 'telemetered' # OOI Net data delivery method
level = 'nsif' # local directory name, level below site
instrmt = 'phsen' # local directory name, instrument below level
# We are after telemetered data. Determine list of deployments and use the last, presumably currently active,
# deployment to determine the start and end dates for our request.
vocab = get_vocabulary(site, node, sensor)[0]
deployments = list_deployments(site, node, sensor)
deploy = deployments[-1]
start, stop = get_deployment_dates(site, node, sensor, deploy)
# request and download the data
r = m2m_request(site, node, sensor, method, stream, start, stop)
phsen = m2m_collect(r, '.*PHSEN.*\\.nc$')
phsen = phsen.where(phsen.deployment == deploy,
drop=True) # limit to the deployment of interest
# clean-up and reorganize
phsen = phsen_datalogger(phsen)
phsen = update_dataset(phsen, vocab['maxdepth'])
# save the data
out_path = os.path.join(CONFIG['base_dir']['m2m_base'], site.lower(),
level, instrmt)
out_path = os.path.abspath(out_path)
if not os.path.exists(out_path):
os.makedirs(out_path)
out_file = ('%s.%s.%s.deploy%02d.%s.%s.nc' %
(site.lower(), level, instrmt, deploy, method, stream))
nc_out = os.path.join(out_path, out_file)
phsen.to_netcdf(nc_out, mode='w', format='NETCDF4', engine='netcdf4')
def main():
# Setup needed parameters for the request, the user would need to vary these to suit their own needs and
# sites/instruments of interest. Site, node, sensor, stream and delivery method names can be obtained from the
# Ocean Observatories Initiative web site. The last two will set path and naming conventions to save the data
# to the local disk
site = 'CE01ISSM' # OOI Net site designator
node = 'SBD17' # OOI Net node designator
sensor = '06-FLORTD000' # OOI Net sensor designator
stream = 'flort_sample' # OOI Net stream name
method = 'recovered_inst' # OOI Net data delivery method
level = 'buoy' # local directory name, level below site
instrmt = 'flort' # local directory name, instrument below level
# We are after recovered instrument data. Determine list of deployments and use a more recent deployment to
# determine the start and end dates for our request.
vocab = get_vocabulary(site, node, sensor)[0]
deployments = list_deployments(site, node, sensor)
deploy = deployments[5]
start, stop = get_deployment_dates(site, node, sensor, deploy)
# request and download the data
r = m2m_request(site, node, sensor, method, stream, start, stop)
flort = m2m_collect(r, '.*FLORT.*\\.nc$')
flort = flort.where(flort.deployment == deploy,
drop=True) # limit to the deployment of interest
# clean-up and reorganize
flort = flort_instrument(flort)
flort = update_dataset(flort, vocab['maxdepth'])
# save the data
out_path = os.path.join(CONFIG['base_dir']['m2m_base'], site.lower(),
level, instrmt)
out_path = os.path.abspath(out_path)
if not os.path.exists(out_path):
os.makedirs(out_path)
out_file = ('%s.%s.%s.deploy%02d.%s.%s.nc' %
(site.lower(), level, instrmt, deploy, method, stream))
nc_out = os.path.join(out_path, out_file)
flort.to_netcdf(nc_out, mode='w', format='NETCDF4', engine='netcdf4')
def main():
# Setup needed parameters for the request, the user would need to vary these to suit their own needs and
# sites/instruments of interest. Site, node, sensor and stream names can be obtained from the Ocean Observatories
# Initiative web site
site = 'CE02SHSM' # OOI Net site designator
node = 'RID27' # OOI Net node designator
sensor = '03-CTDBPC000' # OOI Net sensor designator
stream = 'ctdbp_cdef_instrument_recovered' # OOI Net stream name
method = 'recovered_inst' # OOI Net data delivery method
level = 'nsif' # local directory name, level below site
instrmt = 'ctdbp' # local directory name, instrument below level
# We are after recovered instrument data. Determine list of deployments and use the first deployment to determine
# the start and end dates for our request.
vocab = get_vocabulary(site, node, sensor)[0]
deployments = list_deployments(site, node, sensor)
deploy = deployments[0]
start, stop = get_deployment_dates(site, node, sensor, deploy)
# request and download the data
r = m2m_request(site, node, sensor, method, stream, start, stop)
ctdbp = m2m_collect(r, '.*ctdbp.*\\.nc$')
ctdbp = ctdbp.where(ctdbp.deployment == deploy,
drop=True) # limit to the deployment of interest
# clean-up and reorganize
ctdbp = ctdbp_instrument(ctdbp, burst=True)
ctdbp = update_dataset(ctdbp, vocab['maxdepth'])
# save the data
out_path = os.path.join(CONFIG['base_dir']['m2m_base'], site.lower(),
level, instrmt)
out_path = os.path.abspath(out_path)
if not os.path.exists(out_path):
os.makedirs(out_path)
out_file = ('%s.%s.%s.deploy%02d.%s.%s.nc' %
(site.lower(), level, instrmt, deploy, method, stream))
nc_out = os.path.join(out_path, out_file)
ctdbp.to_netcdf(nc_out, mode='w', format='NETCDF4', engine='netcdf4')
def main():
# Setup needed parameters for the request, the user would need to vary these to suit their own needs and
# sites/instruments of interest. Site, node, sensor, stream and delivery method names can be obtained from the
# Ocean Observatories Initiative web site. The last two parameters (level and instrmt) will set path and naming
# conventions to save the data to the local disk.
site = 'CE04OSSM' # OOI Net site designator
node = 'SBD11' # OOI Net node designator
sensor = '06-METBKA000' # OOI Net sensor designator
stream = 'metbk_hourly' # OOI Net stream name
method = 'telemetered' # OOI Net data delivery method
level = 'buoy' # local directory name, level below site
instrmt = 'metbk' # local directory name, instrument below level
# We are after telemetered data. Determine list of deployments and use the last, presumably currently active,
# deployment to determine the start and end dates for our request.
vocab = get_vocabulary(site, node, sensor)[0]
deployments = list_deployments(site, node, sensor)
deploy = deployments[-1]
start, stop = get_deployment_dates(site, node, sensor, deploy)
# request and download the data
r = m2m_request(site, node, sensor, method, stream, start, stop)
metbk = m2m_collect(r,
('.*deployment%04d.*METBK.*hourly.*\\.nc$' % deploy))
# clean-up and reorganize the METBK hourly bulk flux data
metbk = metbk_hourly(metbk)
metbk = update_dataset(metbk, vocab['maxdepth'])
# save the data -- utilize groups for the metbk and water datasets
out_path = os.path.join(CONFIG['base_dir']['m2m_base'], site.lower(),
level, instrmt)
out_path = os.path.abspath(out_path)
if not os.path.exists(out_path):
os.makedirs(out_path)
out_file = ('%s.%s.%s.deploy%02d.%s.%s.nc' %
(site.lower(), level, instrmt, deploy, method, stream))
nc_out = os.path.join(out_path, out_file)
metbk.to_netcdf(nc_out, mode='w', format='NETCDF4', engine='netcdf4')