def mktemplates(
network_code='GEONET',
plot=True,
publicIDs=['2016p008122', '2016p008353', '2016p008155',
'2016p008194']):
"""Functional wrapper to make templates"""
client = Client(network_code)
# We want to download a few events from an earthquake sequence, these are
# identified by publiID numbers, given as arguments
catalog = Catalog()
for publicID in publicIDs:
try:
catalog += client.get_events(eventid=publicID,
includearrivals=True)
except TypeError:
# Cope with some FDSN services not implementing includearrivals
catalog += client.get_events(eventid=publicID)
# Lets plot the catalog to see what we have
if plot:
catalog.plot(projection='local', resolution='h')
# We don't need all the picks, lets take the information from the
# five most used stations - note that this is done to reduce computational
# costs.
catalog = filter_picks(catalog, top_n_picks=5)
# We only want the P picks in this example, but you can use others or all
# picks if you want.
for event in catalog:
for pick in event.picks:
if pick.phase_hint == 'S':
event.picks.remove(pick)
# Now we can generate the templates
templates = template_gen.template_gen(method='from_client',
catalog=catalog,
client_id=network_code,
lowcut=2.0,
highcut=9.0,
samp_rate=20.0,
filt_order=4,
length=3.0,
prepick=0.15,
swin='all',
process_len=3600,
plot=plot)
# We now have a series of templates! Using Obspy's Stream.write() method we
# can save these to disk for later use. We will do that now for use in the
# following tutorials.
for i, template in enumerate(templates):
template.write('tutorial_template_' + str(i) + '.ms', format='MSEED')
# Note that this will warn you about data types. As we don't care
# at the moment, whatever obspy chooses is fine.
return
def mktemplates(network_code='GEONET',
publicIDs=['2016p008122', '2016p008353', '2016p008155',
'2016p008194'], plot=True):
"""Functional wrapper to make templates"""
# We want to download some QuakeML files from the New Zealand GeoNet
# network, GeoNet currently doesn't support FDSN event queries, so we
# have to work around to download quakeml from their quakeml.geonet site.
client = Client(network_code)
# We want to download a few events from an earthquake sequence, these are
# identified by publiID numbers, given as arguments
catalog = Catalog()
for publicID in publicIDs:
if network_code == 'GEONET':
data_stream = client._download(
'http://quakeml.geonet.org.nz/quakeml/1.2/' + publicID)
data_stream.seek(0, 0)
catalog += read_events(data_stream, format="quakeml")
data_stream.close()
else:
catalog += client.get_events(
eventid=publicID, includearrivals=True)
# Lets plot the catalog to see what we have
if plot:
catalog.plot(projection='local', resolution='h')
# We don't need all the picks, lets take the information from the
# five most used stations - note that this is done to reduce computational
# costs.
catalog = filter_picks(catalog, top_n_picks=5)
# We only want the P picks in this example, but you can use others or all
# picks if you want.
for event in catalog:
for pick in event.picks:
if pick.phase_hint == 'S':
event.picks.remove(pick)
# Now we can generate the templates
templates = template_gen.template_gen(
method='from_client', catalog=catalog, client_id=network_code,
lowcut=2.0, highcut=9.0, samp_rate=20.0, filt_order=4, length=3.0,
prepick=0.15, swin='all', process_len=3600, debug=0, plot=plot)
# We now have a series of templates! Using Obspy's Stream.write() method we
# can save these to disk for later use. We will do that now for use in the
# following tutorials.
for i, template in enumerate(templates):
template.write('tutorial_template_' + str(i) + '.ms', format='MSEED')
# Note that this will warn you about data types. As we don't care
# at the moment, whatever obspy chooses is fine.
return
if dist >= st_minradius and dist <= st_maxradius:
cat_subset.append(cat[kk])
print(cat_subset)
# -------------------------------------------------------------------------------
# Create station directory
sta_dir = ev_info.network + '_' + ev_info.station
odir = out_dir + sta_dir
if not os.path.exists(odir):
os.makedirs(odir)
# save catalog subset for this station
fname = odir + '_event_subset'
cat_subset.write(fname,'cnv')
fname = odir + '_event_subset.eps'
cat_subset.plot(outfile = fname)
# Event selection plot
#plotme(clat,clon,ev_info.rlat,ev_info.rlon,cat,cat_subset,st_minradius,st_maxradius,sta_dir)
# -------------------------------------------------------------------------------
# Loop over subset_events
for kk in range(0,len(cat_subset)):
ev_info.otime = cat_subset[kk].origins[0].time
ev_info.elat = cat_subset[kk].origins[0].latitude
ev_info.elon = cat_subset[kk].origins[0].longitude
ev_info.edep = cat_subset[kk].origins[0].depth
ev_info.emag = cat_subset[kk].magnitudes[0].mag
ev_info.rtime = cat_subset[kk].origins[0].time
ev_info.ev = cat_subset[kk] # get event object
ev_info.reference_time_place() # get stations around a reference origin (rlat, rlon - each station in this case)
def mktemplates(network_code='GEONET',
publicIDs=['2016p008122', '2016p008353', '2016p008155',
'2016p008194']):
"""Functional wrapper to make templates"""
from collections import Counter
from eqcorrscan.core import template_gen
# This import section copes with namespace changes between obspy versions
import obspy
if int(obspy.__version__.split('.')[0]) >= 1:
from obspy.clients.fdsn import Client
from obspy import read_events
else:
from obspy.fdsn import Client
from obspy import readEvents as read_events
from obspy.core.event import Catalog
# We want to download some QuakeML files from the New Zealand GeoNet
# network, GeoNet currently doesn't support FDSN event queries, so we
# have to work around to download quakeml from their quakeml.geonet site.
client = Client(network_code)
# We want to download a few events from an earthquake sequence, these are
# identified by publiID numbers, given as arguments
catalog = Catalog()
for publicID in publicIDs:
if network_code == 'GEONET':
data_stream = client._download('http://quakeml.geonet.org.nz/' +
'quakeml/1.2/' + publicID)
data_stream.seek(0, 0)
catalog += read_events(data_stream, format="quakeml")
data_stream.close()
else:
catalog += client.get_events(eventid=publicID,
includearrivals=True)
# Lets plot the catalog to see what we have
catalog.plot(projection='local', resolution='h')
# We don't need all the picks, lets take the information from the
# five most used stations
all_picks = []
for event in catalog:
all_picks += [(pick.waveform_id.station_code) for pick in event.picks]
all_picks = Counter(all_picks).most_common(5)
all_picks = [pick[0] for pick in all_picks]
for event in catalog:
if len(event.picks) == 0:
raise IOError('No picks found')
event.picks = [pick for pick in event.picks
if pick.waveform_id.station_code in all_picks]
# Now we can generate the templates
templates = template_gen.from_client(catalog=catalog,
client_id=network_code,
lowcut=2.0, highcut=9.0,
samp_rate=20.0, filt_order=4,
length=3.0, prepick=0.15,
swin='all', debug=1, plot=True)
# We now have a series of templates! Using Obspys Stream.write() method we
# can save these to disk for later use. We will do that now for use in the
# following tutorials.
for i, template in enumerate(templates):
template.write('tutorial_template_' + str(i) + '.ms', format='MSEED')
# Note that this will warn you about data types. As we don't care
# at the moment, whatever obspy chooses is fine.
return
def mktemplates(network_code='GEONET',
publicIDs=['2016p008122', '2016p008353', '2016p008155',
'2016p008194']):
"""Functional wrapper to make templates"""
from collections import Counter
from eqcorrscan.core import template_gen
# This import section copes with namespace changes between obspy versions
import obspy
if int(obspy.__version__.split('.')[0]) >= 1:
from obspy.clients.fdsn import Client
from obspy import read_events
else:
from obspy.fdsn import Client
from obspy import readEvents as read_events
from obspy.core.event import Catalog
# We want to download some QuakeML files from the New Zealand GeoNet
# network, GeoNet currently doesn't support FDSN event queries, so we
# have to work around to download quakeml from their quakeml.geonet site.
client = Client(network_code)
# We want to download a few events from an earthquake sequence, these are
# identified by publiID numbers, given as arguments
catalog = Catalog()
for publicID in publicIDs:
if network_code == 'GEONET':
data_stream = client._download('http://quakeml.geonet.org.nz/' +
'quakeml/1.2/' + publicID)
data_stream.seek(0, 0)
catalog += read_events(data_stream, format="quakeml")
data_stream.close()
else:
catalog += client.get_events(eventid=publicID,
includearrivals=True)
# Lets plot the catalog to see what we have
catalog.plot(projection='local', resolution='h')
# We don't need all the picks, lets take the information from the
# five most used stations
all_picks = []
for event in catalog:
all_picks += [(pick.waveform_id.station_code,
pick.waveform_id.channel_code) for pick in event.picks]
all_picks = Counter(all_picks).most_common(5)
all_picks = [pick[0] for pick in all_picks]
for event in catalog:
if len(event.picks) == 0:
raise IOError('No picks found')
event.picks = [pick for pick in event.picks
if (pick.waveform_id.station_code,
pick.waveform_id.channel_code) in all_picks]
# Now we can generate the templates
templates = template_gen.from_client(catalog=catalog,
client_id=network_code,
lowcut=2.0, highcut=9.0,
samp_rate=20.0, filt_order=4,
length=3.0, prepick=0.05,
swin='all', debug=1, plot=True)
# We now have a series of templates! Using Obspys Stream.write() method we
# can save these to disk for later use. We will do that now for use in the
# following tutorials.
for i, template in enumerate(templates):
template.write('tutorial_template_' + str(i) + '.ms', format='MSEED')
# Note that this will warn you about data types. As we don't care
# at the moment, whatever obspy chooses is fine.
return
