def stream_add_stats(data_stream,inv,evt,write_sac=False,rotate_in_obspy=False):
for net in inv:
for sta in net:
str1=data_stream.select(network=net.code,station=sta.code)
print(str(net.code),str(sta.code),len(str1))
if len(str1) == 0:
continue
# update in future to deal with multiple channel (total_number_of channels)
if len(str1) % 3 !=0:
print('Problem: missing components', str1); exit()
for tr in str1:
for chan in sta:
if tr.stats.channel == chan.code and tr.stats.location == chan.location_code:
break
else:
print('Problem finding channel in inventory',tr); exit()
tr.stats.coordinates={'latitude':chan.latitude,'longitude':chan.longitude}
(tr.stats.distance,tr.stats.azimuth,tr.stats.back_azimuth)=gps2dist_azimuth(
chan.latitude, chan.longitude, evt.origins[0].latitude, evt.origins[0].longitude)
if write_sac==True:
sac= AttribDict()
sac.kstnm=str(sta.code);
sac.knetwk=str(net.code);
sac.kcmpnm=str(chan.code)
sac.khole=str(chan.location_code)
sac.stla=chan.latitude; sac.stlo=chan.longitude; sac.stel=chan.elevation
sac.evla=evt.origins[0].latitude; sac.evlo=evt.origins[0].longitude;
sac.evdp=evt.origins[0].depth/1000. # in km
sac.mag=evt.magnitudes[0].mag; time=evt.origins[0].time
sac.nzyear, sac.nzjday, sac.nzhour, sac.nzmin, sac.nzsec, sac.nzmsec=time.year, time.julday, time.hour, time.minute, time.second, time.microsecond/1000
sac.o=0.
sac.b=tr.stats.starttime-time # this is very important!!
sac.kevnm=str(time)
sac.cmpaz=chan.azimuth
# dip is from horizontal downward; inc is from vertical downward
sac.cmpinc=chan.dip+90
sac.gcarc = locations2degrees(evt.origins[0].latitude, evt.origins[0].longitude, chan.latitude, chan.longitude)
sac.dist,sac.az,sac.baz= tr.stats.distance/1000,tr.stats.azimuth,tr.stats.back_azimuth
tr.stats.sac=sac
tr_name=sta.code+'.'+net.code+'.'+chan.location_code+'.'+chan.code+'.sac'
tr.write(tr_name,format='SAC')
def gauge2sac(gauge_file,dictionary,xyfile,outdir,time_epi,dt):
'''
Convert output from fort.gauge file intop individual sac files
'''
from numpy import genfromtxt,unique,where,arange,interp
from obspy import Stream,Trace
from obspy.core.util.attribdict import AttribDict
#Read gauge file
gauges=genfromtxt(gauge_file)
#Read names
plume_name=genfromtxt(dictionary,usecols=0,dtype='S')
claw_name=genfromtxt(dictionary,usecols=1)
lat=genfromtxt(xyfile,usecols=2)
lon=genfromtxt(xyfile,usecols=3)
#Find unique stations
gauge_list=unique(gauges[:,0])
for k in range(len(gauge_list)):
print k
st=Stream(Trace())
i=where(gauges[:,0]==gauge_list[k])[0]
data=gauges[i,6]
time=gauges[i,2]
ti=arange(0,time.max(),dt)
tsunami=interp(ti,time,data)
st[0].data=tsunami
st[0].stats.starttime=time_epi
st[0].stats.delta=dt
iname=where(claw_name==gauge_list[k])[0][0]
st[0].stats.station=plume_name[iname]
sac=AttribDict()
sac.stla=lat[iname]
sac.stlo=lon[iname]
sac.evla=46.607
sac.evlo=153.230
#sac.iztype='IO'
st[0].stats['sac']=sac
st.write(outdir+'/'+plume_name[iname]+'.tsun.sac',format='SAC')
def txt2sac(txt,output_dir = os.getcwd()):
''' This function will convert txt file to SAC file'''
with open(txt,encoding='iso-8859-9') as eqfile:
if os.stat(txt).st_size == 0:
print(txt + ' is empty')
return
head = [next(eqfile) for x in range(14)]
head = [line.rstrip('\n') for line in head]
hd = AttribDict()
hd['sac'] = AttribDict()
# Retrieve Event Information
# Retrieve EventTime
s = ''.join(i for i in head[2] if i.isdigit())
evtime = datetime.strptime(s, '%Y%m%d%H%M%S%f')
# Retrieve EVLA, EVLO
_,coors = head[3].split(':')
# Remove space, N and E
coors = coors.replace(' ','')
coors = coors.replace('N','')
coors = coors.replace('E','')
evla,evlo = coors.split('-')
hd['sac'].evla = float(evla.replace(',','.')); hd['sac'].evlo = float(evlo.replace(',','.'))
# Retrieve EVDP
_,depth = head[4].split(':')
evdp = depth.replace(' ','')
hd['sac'].evdp = float(evdp)
# Retrieve MAG
_,mags = head[5].split(':')
# Check if multiple Magnitude types are associated with the earthquake
if ',' in mags:
mag,imagtyp = mag_seperator(mags)
hd['sac'].imagtyp = imagtyp
else:
_, mag,imagtyp = mags.split(' ')
hd['sac'].imagtyp = mag_type(imagtyp)
hd['sac'].mag = float(mag.replace(',','.'))
# Retrieve Station Information
# Assign Network
hd['network'] = 'TK'
# Assing Location
hd['location'] = 00
# Retrieve KSTNM
_,stnm = head[6].split(':')
kstnm = stnm.replace(' ','')
hd['station'] = kstnm
# Retrieve STLA, STLO
_,coors = head[7].split(':')
# Remove space, N and E
coors = coors.replace(' ','')
coors = coors.replace('N','')
coors = coors.replace('E','')
stla,stlo = coors.split('-')
hd['sac'].stla = float(stla.replace(',','.')); hd['sac'].stlo = float(stlo.replace(',','.'))
# Retrieve STEL
_,el = head[8].split(':')
stel = el.replace(' ','')
hd['stel'] = float(stel.replace(',','.'))
# Retrieve Record Information
# Retrieve Recordtime
s = ''.join(i for i in head[11] if i.isdigit())
starttime = datetime.strptime(s, '%d%m%Y%H%M%S%f')
hd['starttime'] = UTCDateTime(starttime)
hd['sac'].o = UTCDateTime(starttime) - UTCDateTime(evtime)
# Retrieve NPTS
_,nptss = head[12].split(':')
npts = nptss.replace(' ','')
hd['npts'] = int(npts)
# Retrieve DELTA
_,dt = head[13].split(':')
delta = dt.replace(' ','')
hd['delta'] = float(delta.replace(',','.'))
hd['sampling_rate'] = 1/hd['delta']
hd['endtime'] = hd['starttime'] + hd['npts']*hd['delta']
hd['sac'].lcalda = 1; hd['sac'].lovrok = 1
eqfile.close()
# Read Waveform
with open(txt,encoding='iso-8859-9') as eqfile:
wfs = eqfile.readlines()[18:]
wfs = [line.rstrip('\n') for line in wfs]
wfs = [line.split(' ') for line in wfs]
wfs = [list(filter(None, line)) for line in wfs]
e = []; n = []; z = [];
for line in wfs:
n.append(line[0])
e.append(line[1])
z.append(line[2])
#East
tracee = Trace(np.asarray(e))
hd['channel'] = 'HGE'
tracee.stats = hd
st = Stream(traces=[tracee])
st.write(os.path.join(output_dir,st[0].id + '.SAC'), format='SAC')
#North
tracen = Trace(np.asarray(n))
hd['channel'] = 'HGN'
tracen.stats = hd
st = Stream(traces=[tracen])
st.write(os.path.join(output_dir,st[0].id + '.SAC'), format='SAC')
#Vertical
tracez = Trace(np.asarray(z))
hd['channel'] = 'HGZ'
tracez.stats = hd
st = Stream(traces=[tracez])
st.write(os.path.join(output_dir,st[0].id + '.SAC'), format='SAC')
return
def RGF_from_SW4(path_to_green=".",
t0=0,
file_name=None,
origin_time=None,
event_lat=None,
event_lon=None,
depth=None,
station_name=None,
station_lat=None,
station_lon=None,
output_directory="sw4out"):
"""
Function to convert reciprocal Green's functions from SW4 to tensor format
Reads the reciprocal Green's functions (displacement/unit force) from SW4 and
performs the summation to get the Green's function tensor.
RGFs from SW4 are oriented north, east and positive down by setting az=0.
Assumes the following file structure:
f[x,y,z]/station_name/event_name.[x,y,z]
"""
import os
from obspy.core import read, Stream
from obspy.geodetics.base import gps2dist_azimuth
from obspy.core.util.attribdict import AttribDict
# Defined variables (do not change)
dirs = ["fz", "fx", "fy"] # directory to displacement per unit force
du = [
"duxdx", "duydy", "duzdz", "duydx", "duxdy", "duzdx", "duxdz", "duzdy",
"duydz"
]
orientation = ["Z", "N", "E"] # set az=0 in SW4 so x=north, y=east
cmpaz = [0, 0, 90]
cmpinc = [0, 90, 90]
# Create a new output directory under path_to_green
dirout = "%s/%s" % (path_to_green, output_directory)
if os.path.exists(dirout):
print("Warning: output directory '%s' already exists." % dirout)
else:
print("Creating output directory '%s'." % dirout)
os.mkdir(dirout)
# Loop over each directory fx, fy, fz
nsta = len(station_name)
for i in range(3):
# Set headers according to the orientation
if dirs[i][-1].upper() == "Z":
scale = -1 # change to positive up
else:
scale = 1
# Loop over each station
for j in range(nsta):
station = station_name[j]
stlo = station_lon[j]
stla = station_lat[j]
dirin = "%s/%s/%s" % (path_to_green, dirs[i], station)
print("Reading RGFs from %s:" % (dirin))
st = Stream()
for gradient in du:
fname = "%s/%s.%s" % (dirin, file_name, gradient)
st += read(fname, format="SAC")
# Set station headers
starttime = origin_time - t0
dist, az, baz = gps2dist_azimuth(event_lat, event_lon, stla, stlo)
# SAC headers
sacd = AttribDict()
sacd.stla = stla
sacd.stlo = stlo
sacd.evla = event_lat
sacd.evlo = event_lon
sacd.az = az
sacd.baz = baz
sacd.dist = dist / 1000 # convert to kilometers
sacd.o = 0
sacd.b = -1 * t0
sacd.cmpaz = cmpaz[i]
sacd.cmpinc = cmpinc[i]
sacd.kstnm = station
# Update start time
for tr in st:
tr.stats.starttime = starttime
tr.stats.distance = dist
tr.stats.back_azimuth = baz
# Sum displacement gradients to get reciprocal Green's functions
tensor = Stream()
for gradient, element in zip(["duxdx", "duydy", "duzdz"],
["XX", "YY", "ZZ"]):
trace = st.select(channel=gradient)[0].copy()
trace.stats.channel = "%s%s" % (orientation[i], element)
tensor += trace
trace = st.select(channel="duydx")[0].copy()
trace.data += st.select(channel="duxdy")[0].data
trace.stats.channel = "%s%s" % (orientation[i], "XY")
tensor += trace
trace = st.select(channel="duzdx")[0].copy()
trace.data += st.select(channel="duxdz")[0].data
trace.stats.channel = "%s%s" % (orientation[i], "XZ")
tensor += trace
trace = st.select(channel="duzdy")[0].copy()
trace.data += st.select(channel="duydz")[0].data
trace.stats.channel = "%s%s" % (orientation[i], "YZ")
tensor += trace
# Set sac headers before saving
print(" Saving GFs to %s" % dirout)
for tr in tensor:
tr.trim(origin_time, tr.stats.endtime)
tr.data = scale * tr.data
tr.stats.sac = sacd
sacout = "%s/%s.%.4f.%s" % (dirout, station, depth,
tr.stats.channel)
#print("Writing %s to file."%sacout)
tr.write(sacout, format="SAC")