def gen_coseismic_disp_file():
reader = vj.EpochalFileReader('../../tsana/post_fit/cumu_post.h5')
co_disp = reader[0].reshape([-1, 3])
sites = vj.Sites([ii.decode() for ii in reader['sites']])
text = tempfile.NamedTemporaryFile(mode='w+t')
_text = '# lon lat x y * * * name of station\n'
for ci, site in zip(co_disp, sites):
_text += '%f %f %f %f 0. 0. 0. %s\n'%\
(site.lon, site.lat, ci[0], ci[1], site.name)
text.write(_text)
text.seek(0, 0)
return text
def gen_codisp_hor_mag_file():
reader = vj.EpochalFileReader('../../tsana/post_fit/cumu_post.h5')
co_disp = reader[0].reshape([-1, 3])
sites = vj.Sites([ii.decode() for ii in reader['sites']])
text = tempfile.NamedTemporaryFile(mode='w+t')
_text = '# lon lat hor_mag\n'
for ci, site in zip(co_disp, sites):
_text += '%f %f %f \n'%\
(site.lon, site.lat, np.sqrt(ci[0]**2+ci[1]**2))
text.write(_text)
text.seek(0, 0)
return text
def gen_coseismic_vertical_file():
reader = vj.EpochalFileReader('../../tsana/post_fit/cumu_post.h5')
co_disp = reader[0].reshape([-1, 3])
# print(np.max(co_disp[:,2]))
sites = vj.Sites([ii.decode() for ii in reader['sites']])
text = tempfile.NamedTemporaryFile(mode='w+t')
_text = '# lon lat vertical\n'
for ci, site in zip(co_disp, sites):
_text += '%f %f %f \n'%\
(site.lon, site.lat, ci[2])
text.write(_text)
text.seek(0, 0)
return text
import viscojapan as vj
with vj.EpochalFileReader(
'../../tsana/post_fit/cumu_post_with_seafloor.h5') as reader:
reader['']
import viscojapan as vj
import numpy as np
reader = vj.EpochalFileReader('G.h5')
G = reader[0]
res_file = '../run2_seafloor_01/outs/nrough_14_ntop_02.h5'
fault_file = '../../fault_model/fault_bott60km.h5'
reader = vj.ResultFileReader(res_file)
slip = reader.slip
d_pred = np.dot(G, slip).reshape([-1, 3])
sites = np.loadtxt('sites.in', '4a, f, f')
_txt = np.array([(s[1], s[2], d[0], d[1], s[0])
for s, d in zip(sites, d_pred)], ('f, f, f, f, U4'))
np.savetxt('pred_disp', _txt, fmt='%f %f %f %f %s')
_txt = np.array([(s[1], s[2], np.sqrt(d[0]**2 + d[1]**2), s[0])
for s, d in zip(sites, d_pred)], ('f, f, f, U4'))
np.savetxt('pred_disp_mag', _txt, fmt='%f %f %f %s')
import viscojapan as vj
sites = vj.EpochalFileReader('../obs/cumu_post_with_seafloor.h5')['sites']
vj.tsana.GenUniformOnshoreSDWithInfiniteSeafloorSD(
sites=sites,
days=range(1201),
sd_co_hor=1.,
sd_co_ver=1.,
sd_post_hor=1.,
sd_post_ver=1.,
sd_seafloor=1.).save('sd_uniform.h5')
import viscojapan as vj
from pylab import plt
nth_epoch = 28
fault_file = '../../../fault_model/fault_bott80km.h5'
reader = vj.EpochalFileReader('slip0.h5')
epochs = reader.get_epochs()
slip = reader[epochs[nth_epoch]]
plt.subplot(1, 2, 1)
mplt = vj.plots.MapPlotFault(fault_file)
mplt.plot_slip(slip)
#############
fault_file = '../../../../iter0/fault_model/fault_bott120km.h5'
reader = vj.inv.ResultFileReader('nco_06_naslip_10.h5', fault_file)
slip = reader.get_incr_slip_at_nth_epoch(nth_epoch)
plt.subplot(1, 2, 2)
mplt = vj.plots.MapPlotFault(fault_file)
mplt.plot_slip(slip)
plt.show()
plt.close()
import numpy as np
import viscojapan as vj
reader = vj.EpochalFileReader('../../tsana/post_fit/cumu_post.h5')
co_disp = reader[0].reshape([-1, 3])
sites = vj.Sites([ii.decode() for ii in reader['sites']])
_txt = np.array([(site.lon, site.lat, abs(ci[2]), site.name)
for ci, site in zip(co_disp, sites)], ("f,f,f,U4"))
np.savetxt('verticals_abs', _txt, '%f %f %f %s')
_txt = np.array([(site.lon, site.lat, ci[2], site.name)
for ci, site in zip(co_disp, sites)], ("f,f,f,U4"))
np.savetxt('verticals', _txt, '%f %f %f %s')
import numpy as np
import viscojapan as vj
base_dir = '/home/zy/workspace/viscojapan/inversions/static_inversion/static_inversion2'
res_file = join(
base_dir,
'coseismic/run2_seafloor_01/outs/nrough_14_ntop_02.h5')
G_file = join(
base_dir,
'green_function_china_korea/G5_He63km_VisM1.0E19_Rake83.h5')
reader = vj.ResultFileReader(res_file)
slip = reader.slip
reader = vj.EpochalFileReader(G_file)
G = reader[0]
sites = reader['sites']
sites = vj.Sites([site.decode() for site in sites])
d_pred = np.dot(G,slip).reshape([-1,3])
with open('disp','wt') as fid:
for d, site in zip(d_pred, sites):
fid.write('%f %f %f %f 0. 0. 0. %s\n'%\
(site.lon, site.lat, d[0], d[1], site.name))
import glob
from os.path import basename
import viscojapan as vj
G_olds = glob.glob('../../iter0/green_function/G*.h5')
for G_old in G_olds:
print(G_old)
G_new = basename(G_old)
reader = vj.EpochalFileReader(G_old)
epochs = reader.get_epochs()
with vj.EpochalFileWriter(G_new) as writer:
for epoch in epochs:
tp = reader[epoch]
writer[epoch] = tp[:, :336]
writer.copy_info_from(G_old)
reader = vj.inv.DispResultReader(res_file)
sites = reader.sites
disp = reader.get_post_pred_at_epoch(epoch)
mplt = vj.plots.MapPlotDisplacement(bm)
mplt.plot_disp(disp.flatten(),
sites,
color='red',
X=X,
Y=Y,
U=U,
label=label_pred,
scale=scale)
# observation:
reader = vj.EpochalFileReader(disp_obs_file)
dips_obs = reader[epoch] - reader[0]
sites_obs = [site.decode() for site in reader['sites']]
mplt = vj.plots.MapPlotDisplacement(bm)
mplt.plot_disp(dips_obs,
sites_obs,
color='black',
X=X,
Y=Y + 0.1,
U=U,
label=label_obs,
scale=scale)
# trench:
mplt = vj.plots.MapPlotSlab()
mplt.plot_top()
