def test_generate_joules_inflow2(self):
"""
Checks generating inflow file from Joules LSM manually
"""
print("TEST 7.1: TEST GENERATE INFLOW FILE FROM Joules DATA MANUALLY")
rapid_input_path, rapid_output_path = self._setup_manual("u-k")
lsm_file_list = sorted(glob(os.path.join(self.LSM_INPUT_DATA_PATH, 'joules', '*.nc')))
lsm_file_list = [lsm_file_list[nldas_index:nldas_index+3] for nldas_index in range(0, len(lsm_file_list), 3)\
if len(lsm_file_list[nldas_index:nldas_index+3])==3]
mp_lock = multiprocessing.Manager().Lock()
inf_tool = CreateInflowFileFromLDASRunoff(lat_dim="north_south",
lon_dim="east_west",
lat_var="north_south",
lon_var="east_west",
surface_runoff_var="Qs_inst",
subsurface_runoff_var="Qsb_inst",
time_step_seconds=3*3600)
m3_file_name = "m3_riv_bas_met_office_joules_3hr_20080803to20080803.nc"
generated_m3_file = os.path.join(rapid_output_path, m3_file_name)
inf_tool.generateOutputInflowFile(out_nc=generated_m3_file,
start_datetime_utc=datetime(2008,3,3),
number_of_timesteps=len(lsm_file_list),
simulation_time_step_seconds=3*3600,
in_rapid_connect_file=os.path.join(rapid_input_path, 'rapid_connect.csv'),
in_rivid_lat_lon_z_file=os.path.join(rapid_input_path, 'comid_lat_lon_z.csv'),
land_surface_model_description="RAPID Inflow from Met Office Joules Hourly Runoff",
modeling_institution="US Army Engineer Research and Development Center"
)
inf_tool.execute(nc_file_list=lsm_file_list,
index_list=list(xrange(len(lsm_file_list))),
in_weight_table=os.path.join(rapid_input_path, 'weight_joules.csv'),
out_nc=generated_m3_file,
grid_type='joules',
mp_lock=mp_lock)
#CHECK OUTPUT
generated_m3_file_solution = os.path.join(self.INFLOW_COMPARE_DATA_PATH, m3_file_name)
self._compare_m3(generated_m3_file, generated_m3_file_solution)
def test_generate_gldas2_inflow2(self):
"""
Checks generating inflow file from GLDAS V2 LSM manually
"""
print("TEST 5.1: TEST GENERATE INFLOW FILE FROM GLDAS V2 DATA MANUALLY")
rapid_input_path, rapid_output_path = self._setup_manual("x-x")
lsm_file_list = sorted(glob(os.path.join(self.LSM_INPUT_DATA_PATH, 'gldas2', '*.nc4')))
mp_lock = multiprocessing.Manager().Lock()
inf_tool = CreateInflowFileFromLDASRunoff(lat_dim="lat",
lon_dim="lon",
lat_var="lat",
lon_var="lon",
surface_runoff_var="Qs_acc",
subsurface_runoff_var="Qsb_acc",
time_step_seconds=3*3600)
m3_file_name = "m3_riv_bas_nasa_gldas2_3hr_20101231to20101231.nc"
generated_m3_file = os.path.join(rapid_output_path, m3_file_name)
inf_tool.generateOutputInflowFile(out_nc=generated_m3_file,
start_datetime_utc=datetime(2010,12,31),
number_of_timesteps=len(lsm_file_list),
simulation_time_step_seconds=3*3600,
in_rapid_connect_file=os.path.join(rapid_input_path, 'rapid_connect.csv'),
in_rivid_lat_lon_z_file=os.path.join(rapid_input_path, 'comid_lat_lon_z.csv'),
land_surface_model_description="RAPID Inflow from GLDAS2.0 LIS land surface model 3 hourly runoff",
modeling_institution="US Army Engineer Research and Development Center"
)
inf_tool.execute(nc_file_list=lsm_file_list,
index_list=list(xrange(len(lsm_file_list))),
in_weight_table=os.path.join(rapid_input_path, 'weight_gldas2.csv'),
out_nc=generated_m3_file,
grid_type='gldas2',
mp_lock=mp_lock)
#CHECK OUTPUT
generated_m3_file_solution = os.path.join(self.INFLOW_COMPARE_DATA_PATH, m3_file_name)
self._compare_m3(generated_m3_file,generated_m3_file_solution)
def test_generate_joules_inflow2(self):
"""
Checks generating inflow file from Joules LSM manually
"""
print("TEST 7.1: TEST GENERATE INFLOW FILE FROM Joules DATA MANUALLY")
rapid_input_path, rapid_output_path = self._setup_manual("u-k")
lsm_file_list = sorted(
glob(os.path.join(self.LSM_INPUT_DATA_PATH, 'joules', '*.nc')))
lsm_file_list = [lsm_file_list[nldas_index:nldas_index+3] for nldas_index in range(0, len(lsm_file_list), 3)\
if len(lsm_file_list[nldas_index:nldas_index+3])==3]
mp_lock = multiprocessing.Manager().Lock()
inf_tool = CreateInflowFileFromLDASRunoff(
lat_dim="north_south",
lon_dim="east_west",
lat_var="north_south",
lon_var="east_west",
surface_runoff_var="Qs_inst",
subsurface_runoff_var="Qsb_inst",
time_step_seconds=3 * 3600)
m3_file_name = "m3_riv_bas_met_office_joules_3hr_20080803to20080803.nc"
generated_m3_file = os.path.join(rapid_output_path, m3_file_name)
inf_tool.generateOutputInflowFile(
out_nc=generated_m3_file,
start_datetime_utc=datetime(2008, 3, 3),
number_of_timesteps=len(lsm_file_list),
simulation_time_step_seconds=3 * 3600,
in_rapid_connect_file=os.path.join(rapid_input_path,
'rapid_connect.csv'),
in_rivid_lat_lon_z_file=os.path.join(rapid_input_path,
'comid_lat_lon_z.csv'),
land_surface_model_description=
"RAPID Inflow from Met Office Joules Hourly Runoff",
modeling_institution=
"US Army Engineer Research and Development Center")
inf_tool.execute(nc_file_list=lsm_file_list,
index_list=list(xrange(len(lsm_file_list))),
in_weight_table=os.path.join(rapid_input_path,
'weight_joules.csv'),
out_nc=generated_m3_file,
grid_type='joules',
mp_lock=mp_lock)
#CHECK OUTPUT
generated_m3_file_solution = os.path.join(
self.INFLOW_COMPARE_DATA_PATH, m3_file_name)
self._compare_m3(generated_m3_file, generated_m3_file_solution)
def test_generate_gldas2_inflow2(self):
"""
Checks generating inflow file from GLDAS V2 LSM manually
"""
print(
"TEST 5.1: TEST GENERATE INFLOW FILE FROM GLDAS V2 DATA MANUALLY")
rapid_input_path, rapid_output_path = self._setup_manual("x-x")
lsm_file_list = sorted(
glob(os.path.join(self.LSM_INPUT_DATA_PATH, 'gldas2', '*.nc4')))
mp_lock = multiprocessing.Manager().Lock()
inf_tool = CreateInflowFileFromLDASRunoff(
lat_dim="lat",
lon_dim="lon",
lat_var="lat",
lon_var="lon",
surface_runoff_var="Qs_acc",
subsurface_runoff_var="Qsb_acc",
time_step_seconds=3 * 3600)
m3_file_name = "m3_riv_bas_nasa_gldas2_3hr_20101231to20101231.nc"
generated_m3_file = os.path.join(rapid_output_path, m3_file_name)
inf_tool.generateOutputInflowFile(
out_nc=generated_m3_file,
start_datetime_utc=datetime(2010, 12, 31),
number_of_timesteps=len(lsm_file_list),
simulation_time_step_seconds=3 * 3600,
in_rapid_connect_file=os.path.join(rapid_input_path,
'rapid_connect.csv'),
in_rivid_lat_lon_z_file=os.path.join(rapid_input_path,
'comid_lat_lon_z.csv'),
land_surface_model_description=
"RAPID Inflow from GLDAS2.0 LIS land surface model 3 hourly runoff",
modeling_institution=
"US Army Engineer Research and Development Center")
inf_tool.execute(nc_file_list=lsm_file_list,
index_list=list(xrange(len(lsm_file_list))),
in_weight_table=os.path.join(rapid_input_path,
'weight_gldas2.csv'),
out_nc=generated_m3_file,
grid_type='gldas2',
mp_lock=mp_lock)
#CHECK OUTPUT
generated_m3_file_solution = os.path.join(
self.INFLOW_COMPARE_DATA_PATH, m3_file_name)
self._compare_m3(generated_m3_file, generated_m3_file_solution)
def test_generate_nldas2_inflow2(self):
"""
Checks generating inflow file from NLDAS V2 LSM manually
"""
rapid_input_path, rapid_output_path = self._setup_manual("x-x")
lsm_file_list = sorted(
glob(os.path.join(self.LSM_INPUT_DATA_PATH, 'nldas2', '*.nc')))
lsm_file_list = [lsm_file_list[nldas_index:nldas_index+3] for nldas_index in range(0, len(lsm_file_list), 3)\
if len(lsm_file_list[nldas_index:nldas_index+3])==3]
mp_lock = multiprocessing.Manager().Lock()
inf_tool = CreateInflowFileFromLDASRunoff(
lat_dim="lat_110",
lon_dim="lon_110",
lat_var="lat_110",
lon_var="lon_110",
runoff_vars=["SSRUNsfc_110_SFC_ave2h", "BGRUNsfc_110_SFC_ave2h"],
)
m3_file_name = "m3_riv_bas_nasa_nldas_3hr_20030121to20030121.nc"
generated_m3_file = os.path.join(rapid_output_path, m3_file_name)
inf_tool.generateOutputInflowFile(
out_nc=generated_m3_file,
start_datetime_utc=datetime(2003, 1, 21),
number_of_timesteps=len(lsm_file_list),
simulation_time_step_seconds=3 * 3600,
in_rapid_connect_file=os.path.join(rapid_input_path,
'rapid_connect.csv'),
in_rivid_lat_lon_z_file=os.path.join(rapid_input_path,
'comid_lat_lon_z.csv'),
land_surface_model_description=
"RAPID Inflow from NLDAS Hourly Runoff",
modeling_institution=
"US Army Engineer Research and Development Center")
inf_tool.execute(nc_file_list=lsm_file_list,
index_list=list(xrange(len(lsm_file_list))),
in_weight_table=os.path.join(rapid_input_path,
'weight_nldas.csv'),
out_nc=generated_m3_file,
grid_type='nldas',
mp_lock=mp_lock)
# CHECK OUTPUT
generated_m3_file_solution = os.path.join(
self.INFLOW_COMPARE_DATA_PATH, m3_file_name)
self._compare_m3(generated_m3_file, generated_m3_file_solution)
def test_generate_joules_inflow2():
"""
Checks generating inflow file from Joules LSM manually
"""
print("TEST 7.1: TEST GENERATE INFLOW FILE FROM Joules DATA MANUALLY")
rapid_output_path = os.path.join(OUTPUT_DATA_PATH, "output", "u-k")
rapid_input_path = os.path.join(RAPID_DATA_PATH, "u-k")
#Create testing environment
try:
os.mkdir(RAPID_DATA_PATH)
except OSError:
pass
try:
os.mkdir(os.path.join(OUTPUT_DATA_PATH, "output"))
except OSError:
pass
try:
os.mkdir(rapid_output_path)
except OSError:
pass
try:
copytree(os.path.join(COMPARE_DATA_PATH, "gis", "u-k"),
rapid_input_path)
except OSError:
pass
lsm_file_list = sorted(
glob(os.path.join(LSM_INPUT_DATA_PATH, 'joules', '*.nc')))
lsm_file_list = [lsm_file_list[nldas_index:nldas_index+3] for nldas_index in range(0, len(lsm_file_list), 3)\
if len(lsm_file_list[nldas_index:nldas_index+3])==3]
mp_lock = multiprocessing.Manager().Lock()
inf_tool = CreateInflowFileFromLDASRunoff(lat_dim="north_south",
lon_dim="east_west",
lat_var="north_south",
lon_var="east_west",
surface_runoff_var="Qs_inst",
subsurface_runoff_var="Qsb_inst",
time_step_seconds=3 * 3600)
m3_file_name = "m3_riv_bas_met_office_joules_3hr_20080803to20080803.nc"
generated_m3_file = os.path.join(rapid_output_path, m3_file_name)
inf_tool.generateOutputInflowFile(
out_nc=generated_m3_file,
start_datetime_utc=datetime(2008, 3, 3),
number_of_timesteps=len(lsm_file_list),
simulation_time_step_seconds=3 * 3600,
in_rapid_connect_file=os.path.join(rapid_input_path,
'rapid_connect.csv'),
in_rivid_lat_lon_z_file=os.path.join(rapid_input_path,
'comid_lat_lon_z.csv'),
land_surface_model_description=
"RAPID Inflow from Met Office Joules Hourly Runoff",
modeling_institution="US Army Engineer Research and Development Center"
)
inf_tool.execute(nc_file_list=lsm_file_list,
index_list=list(xrange(len(lsm_file_list))),
in_weight_table=os.path.join(rapid_input_path,
'weight_joules.csv'),
out_nc=generated_m3_file,
grid_type='joules',
mp_lock=mp_lock)
#CHECK OUTPUT
generated_m3_file_solution = os.path.join(INFLOW_COMPARE_DATA_PATH,
m3_file_name)
#check other info in netcdf file
d1 = Dataset(generated_m3_file)
d2 = Dataset(generated_m3_file_solution)
assert_almost_equal(d1.variables['m3_riv'][:],
d2.variables['m3_riv'][:],
decimal=5)
if 'rivid' in d2.variables.keys():
ok_((d1.variables['rivid'][:] == d2.variables['rivid'][:]).all())
if 'lat' in d2.variables.keys():
ok_((d1.variables['lat'][:] == d2.variables['lat'][:]).all())
if 'lon' in d2.variables.keys():
ok_((d1.variables['lon'][:] == d2.variables['lon'][:]).all())
d1.close()
d2.close()
#cleanup
rmtree(os.path.join(OUTPUT_DATA_PATH, "input"))
rmtree(os.path.join(OUTPUT_DATA_PATH, "output"))
