#create_glacier(gdir)
compile_first_guess(gdir)
#desired_mean_bias = +20.
#desired_mean_bias = -20.
#compile_biased_first_guess(gdir, desired_mean_bias)
# delete surface noise and only generate when needed. Fix, until noise is
# directly added to idir
if os.path.exists(gdir.get_filepath('dem_noise')):
os.remove(gdir.get_filepath('dem_noise'))
#noise = create_perlin_noise(gdir, desired_rmse, octaves=4, base=2, freq=3,
# glacier_only=True)
#add_surface_noise(gdir, noise)
create_case_table(gdir)
idir = InversionDirectory(gdir)
# copy this script to inversion directory for reproducibility
path_to_file = '/home/philipp/COBBI/combine/sandbox/Giluwe' \
'/bed_measurements.py'
fname = os.path.split(path_to_file)[-1]
if not os.path.exists(idir.get_current_basedir()):
os.makedirs(idir.get_current_basedir(), exist_ok=True)
shutil.copy(path_to_file, os.path.join(idir.get_current_basedir(), fname))
res = idir.run_minimize()
eval_identical_twin(idir)
#dl = data_logging.load_pickle(idir.get_current_basedir() + '/data_logger.pkl')
print('end')
# compile_first_guess(gdir)
noise = create_perlin_noise(gdir,
noise_parameters[0],
octaves=octaves,
base=noise_parameters[2],
freq=noise_parameters[1],
glacier_only=True)
#plt.figure()
#plt.imshow(noise)
#plt.show()
take_true_bed_as_first_guess(gdir)
add_noise_to_first_guess(gdir, noise)
idir = InversionDirectory(gdir)
# copy this script to inversion directory for reproducibility
path_to_file = '/home/philipp/COBBI/combine/sandbox/Giluwe' \
'/noisy_first_guess_inversion_run.py'
fname = os.path.split(path_to_file)[-1]
dst_dir = idir.get_current_basedir()
if not os.path.exists(dst_dir):
os.makedirs(dst_dir, exist_ok=True)
shutil.copy(path_to_file, os.path.join(dst_dir, fname))
# Finally run inversion
try:
res = idir.run_minimize()
except MemoryError as merr:
error_file = os.path.join(idir.get_current_basedir(),
import matplotlib.pyplot as plt
import salem
from combine.core import gis, test_cases
from combine.core.utils import NonRGIGlacierDirectory
from combine.core.inversion import InversionDirectory
from combine.core.data_logging import load_pickle
from oggm import cfg
cfg.initialize()
basedir = '/data/philipp/thesis_test/Giluwe/perfect'
case = test_cases.Giluwe
gdir = NonRGIGlacierDirectory(case, basedir)
idir = InversionDirectory(gdir)
idir.inv_settings['inversion_counter'] = 1001
true_bed = salem.GeoTiff(gdir.get_filepath('dem')).get_vardata()
data_logger = load_pickle(idir.get_subdir_filepath('data_logger'))
plt.figure()
plt.imshow(data_logger.beds[-1] - true_bed)
subsampled_beds = data_logger.beds[-3:]
for i in [3, 4, 5, 6, 7, 8, 9, 10]:
yfrom = 6
yend = 8
y = i
if not use_preexisting_fg:
compile_first_guess(gdir)
if biased_fg_dict['use']:
compile_biased_first_guess(gdir, biased_fg_dict['desired_mean_bias'])
if rmsed_fg_dict['use']:
# desired_rmse = 5
# desired_rmse = 20.2038 # results in actual rmse of 20
noise = create_perlin_noise(gdir, **rmsed_fg_dict)
take_true_bed_as_first_guess(gdir)
add_noise_to_first_guess(gdir, noise)
if use_measurements_in_fg:
apply_bed_measurements_to_first_guess(gdir)
# Maybe some surface noise?
if surface_noise_dict['use']:
noise = create_perlin_noise(gdir, **surface_noise_dict)
add_surface_noise(gdir, noise)
idir = InversionDirectory(gdir)
res = idir.run_minimize()
eval_identical_twin(idir)
# copy this script to inversion directory for reproducibility
# path_to_file = '/home/philipp/COBBI/combine/sandbox/Giluwe/bed_measurements.py'
#fname = os.path.split(path_to_file)[-1]
#if not os.path.exists(idir.get_current_basedir()):
# os.makedirs(idir.get_current_basedir(), exist_ok=True)
#shutil.copy(path_to_file, os.path.join(idir.get_current_basedir(), fname))
return idir
