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esde
machine-learning
MLAir
Commits
768ec348
Commit
768ec348
authored
3 years ago
by
Felix Kleinert
Browse files
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update wrf run_scripts
parent
adf861d5
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2 merge requests
!333
Merge run_scripts
,
!259
Draft: Resolve "WRF-Datahandler should inherit from SingleStationDatahandler"
Changes
3
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3 changed files
run_wrf_dh.py
+54
-78
54 additions, 78 deletions
run_wrf_dh.py
run_wrf_dh_sector.py
+40
-31
40 additions, 31 deletions
run_wrf_dh_sector.py
run_wrfdh_sector3_hdfml.bash
+18
-0
18 additions, 0 deletions
run_wrfdh_sector3_hdfml.bash
with
112 additions
and
109 deletions
run_wrf_dh.py
+
54
−
78
View file @
768ec348
...
...
@@ -8,7 +8,8 @@ from mlair.workflows import DefaultWorkflow
from
mlair.helpers
import
remove_items
from
mlair.configuration.defaults
import
DEFAULT_PLOT_LIST
from
mlair.model_modules.model_class
import
IntelliO3TsArchitecture
,
MyLSTMModel
,
MyCNNModel
,
MyLuongAttentionLSTMModel
from
mlair.model_modules.model_class
import
IntelliO3TsArchitecture
,
MyLSTMModel
,
MyCNNModel
,
MyCNNModelSect
,
MyLuongAttentionLSTMModel
import
os
...
...
@@ -16,6 +17,7 @@ def load_stations():
import
json
try
:
filename
=
'
supplement/station_list_north_german_plain_rural.json
'
filename
=
'
supplement/WRF_coord_list_from_IntelliO3.json
'
with
open
(
filename
,
'
r
'
)
as
jfile
:
stations
=
json
.
load
(
jfile
)
except
FileNotFoundError
:
...
...
@@ -25,15 +27,11 @@ def load_stations():
def
main
(
parser_args
):
plots
=
remove_items
(
DEFAULT_PLOT_LIST
,
"
PlotConditionalQuantiles
"
)
plots
.
append
(
"
PlotBootstrapSkillScore
"
)
workflow
=
DefaultWorkflow
(
# stations=load_stations(),
workflow
=
DefaultWorkflow
(
stations
=
load_stations
(),
# stations=["DEBW087","DEBW013", "DEBW107", "DEBW076"],
lazy_preprocessing
=
False
,
train_model
=
False
,
create_new_model
=
True
,
network
=
"
UBA
"
,
evaluate_bootstraps
=
True
,
number_of_bootstraps
=
30
,
create_new_bootstraps
=
True
,
#
plot_list
=
plots
,
model_name_for_plots
=
'
SecModel
'
,
time_zone
=
"
UTC
"
,
evaluate_bootstraps
=
False
,
# plot_list=["PlotCompetitiveSkillScore"],
# competitors=["test_model", "test_model2"],
# competitor_path=os.path.join(os.getcwd(), "data", "comp_test"),
competitors
=
[
"
baseline
"
,
"
sector_baseline
"
],
...
...
@@ -41,45 +39,35 @@ def main(parser_args):
train_min_length
=
1
,
val_min_length
=
1
,
test_min_length
=
1
,
# data_handler=DataHandlerSingleStation,
# data_handler=DataHandlerSingleGridColumn,
upsampeling
=
False
,
epochs
=
20
,
epochs
=
100
,
window_lead_time
=
4
,
window_history_size
=
6
,
# ('Germany', (5.98865807458, 47.3024876979, 15.0169958839, 54.983104153))
stations
=
[
"
coords__48_8479__10_0963
"
,
"
coords__51_8376__14_1417
"
,
# "coords__50_7536__7_0827", "coords__51_4070__6_9656",
# "coords__49_8421__7_8662", "coords__49_7410__7_1935",
# "coords__51_1566__11_8182", "coords__51_4065__6_9660",
# "coords__50_7536__7_0827", "coords__54_0000__10_000",
# "coords__50_7333__7_1000", "coords__50_0000__8_0000",
# "coords__48_7444__7_6000", "coords__51_0000__11_0000",
# "coords__52_7555__8_1000", "coords__50_0000__2_0000",
# "coords__51_7666__8_6000", "coords__50_0000__3_0000",
# "coords__45_7777__9_1000", "coords__50_0000__4_0000",
],
# data_handler=DataHandlerWRF,
data_handler
=
DataHandlerMainSectWRF
,
#,
# data_handler=DataHandlerMainMinorSectWRF,
# data_path='/home/felix/Data/WRF-Chem/upload_aura_2021-02-24/2009/',
# data_path='/home/felix/Data/WRF-Chem/test_cut_nc/',
# data_path='/home/felix/Data/WRF-Chem/test_cut_nc_joint',
# data_path="/home/felix/Data/WRF-Chem/test_cut_nc_joint/short_test",
# stations=["coords__48_8479__10_0963", "coords__51_8376__14_1417",
# "coords__50_7536__7_0827", "coords__51_4070__6_9656",
# "coords__49_8421__7_8662", "coords__49_7410__7_1935",
# "coords__51_1566__11_8182", "coords__51_4065__6_9660",
# "coords__50_7333__7_1000", "coords__50_0000__8_0000",
# "coords__48_7444__7_6000", "coords__51_0000__11_0000",
# "coords__52_7555__8_1000", "coords__50_0000__2_0000",
# "coords__51_7666__8_6000", "coords__50_0000__3_0000",
# "coords__45_7777__9_1000", "coords__50_0000__4_0000",
# ],
data_handler
=
DataHandlerWRF
,
# data_handler=DataHandlerMainSectWRF, #,
# data_path="/p/scratch/deepacf/kleinert1/IASS_proc_monthyl",
#data_path="/p/scratch/deepacf/kleinert1/IASS_proc",
#data_path="/p/project/deepacf/intelliaq/kleinert1/DATA/WRF_CHEM_soft_ln_small_test",
# data_path="/media/felix/INTENSO/WRF_CHEM/hourly/cdo_output_test/jan_test",
# data_path = "/p/scratch/deepacf/kleinert1/IASS_proc_monthyl",
data_path
=
"
/media/felix/INTENSO/WRF_CHEM/JFM_2009
"
,
# external data coords
external_coords_file
=
'
/home/felix/Data/WRF-Chem/test_cut_nc/coords.nc
'
,
# external_coords_file = "/p/scratch/deepacf/kleinert1/IASS_proc/coords.nc",
date_format_of_nc_file
=
"
%Y-%m
"
,
# data_path="/p/scratch/deepacf/intelliaq/kleinert1/IASS_proc_monthly/monthly2009",
# data_path="/p/scratch/deepacf/intelliaq/kleinert1/IASS_proc_monthly/monthly_count_test",
data_path
=
"
/p/scratch/deepacf/intelliaq/kleinert1/IASS_proc_monthly/monthly2009_2010-03
"
,
#data_path="/p/scratch/deepacf/intelliaq/kleinert1/IASS_proc_monthly/monthly_01-03",
common_file_starter
=
"
wrfout_d01
"
,
date_format_of_nc_file
=
"
%Y-%m
"
,
time_dim
=
'
XTIME
'
,
#external_coords_file='/p/project/deepacf/inbound_data/IASS_upload/coords.nc',
external_coords_file
=
"
/p/scratch/deepacf/intelliaq/kleinert1/IASS_proc_monthly/coords.nc
"
,
# external_coords_file="/media/felix/INTENSO/WRF_CHEM/monthly/coords.nc",
transformation
=
{
"
T2
"
:
{
"
method
"
:
"
standardise
"
},
"
Q2
"
:
{
"
method
"
:
"
standardise
"
},
...
...
@@ -104,8 +92,6 @@ def main(parser_args):
'
PSFC
'
:
"
average_values
"
,
'
PBLH
'
:
"
average_values
"
,
# 'CLDFRA': "average_values",
},
# separate_vars=["o3", "o3Sect", "o3SectLeft", "o3SectRight"],
separate_vars
=
[
"
o3
"
,
"
o3Sect
"
],
# variables=['T2', 'Q2', 'PBLH', 'U10ll', 'V10ll', 'wdir10ll', 'wspd10ll'],
# target_var=["T2"],
# statistics_per_var={'T2': None, 'Q2': None, 'PBLH': None,
...
...
@@ -114,62 +100,52 @@ def main(parser_args):
var_logical_z_coord_selector
=
0
,
targetvar_logical_z_coord_selector
=
0
,
aggregation_dim
=
'
bottom_top
'
,
radius
=
200
,
# km
start
=
'
2009-01-01
'
,
# end='2009-01-04',
#end='2009-01-31',
end
=
'
200
9
-03-31
'
,
end
=
'
20
1
0-03-31
'
,
#train_start='2009-01-01',
#train_end='2009-01-02',
train_start
=
'
2009-01-01
'
,
# train_end='2009-01-02',
# train_start='2009-01-01',
#train_end='2009-01-15',
# train_end='2009-02-15',
# train_end="2009-01-31",
train_end
=
'
2009-02-28
'
,
train_end
=
'
2009-10-15
'
,
#
val_start='2009-01-02',
#
val_end='2009-01-03',
#val_start='2009-01-02',
#val_end='2009-01-03',
###################################
#val_start='2009-01-15',
#val_end='2009-01-22',
###################################
val_start
=
'
2009-03-01
'
,
val_end
=
'
2009-03-14
'
,
###################################
# val_start='2009-02-15',
# val_end='2009-03-02',
###################################
# val_start='2009-02-01',
# val_end='2009-02-28',
# test_start='2009-01-03',
# test_end='2009-01-04',
###################################
# test_start='2009-01-22',
# test_end='2009-01-31',
val_start
=
'
2009-10-16
'
,
val_end
=
'
2009-12-14
'
,
#test_start='2009-01-03',
#test_end='2009-01-04',
###################################
test_start
=
'
2009-0
3-15
'
,
test_end
=
'
2009-0
3
-31
'
,
#
test_start='2009-0
1-22
',
#
test_end='2009-0
1
-31',
###################################
#
test_start='2009-
03-02
',
#
test_end='200
9
-03-31',
test_start
=
'
2009-
12-15
'
,
test_end
=
'
20
1
0-03-31
'
,
# sampling='hourly',
sampling
=
"
daily
"
,
input_output_sampling4toarstats
=
(
"
hourly
"
,
"
daily
"
),
time_zone
=
"
UTC
"
,
target_time_type
=
"
solar_time
"
,
use_multiprocessing
=
True
,
batch_size
=
64
*
2
*
2
,
interpolation_limit
=
0
,
as_image_like_data_format
=
False
,
# model=MyLSTMModel,
model
=
MyLuongAttentionLSTMModel
,
use_multiprocessing
=
True
,
# as_image_like_data_format=True,
# model=MyLSTMModel,
# model=MyCNNModel,
# model=MyLSTMModel,
model
=
MyLuongAttentionLSTMModel
,
# model=MyCNNModelSect,
# model=MyCNNModel,
**
parser_args
.
__dict__
)
workflow
.
run
()
...
...
This diff is collapsed.
Click to expand it.
run_wrf_dh_sector.py
+
40
−
31
View file @
768ec348
...
...
@@ -8,7 +8,7 @@ from mlair.workflows import DefaultWorkflow
from
mlair.helpers
import
remove_items
from
mlair.configuration.defaults
import
DEFAULT_PLOT_LIST
from
mlair.model_modules.model_class
import
IntelliO3TsArchitecture
,
MyLSTMModel
,
MyCNNModel
,
MyCNNModelSect
from
mlair.model_modules.model_class
import
IntelliO3TsArchitecture
,
MyLSTMModel
,
MyCNNModel
,
MyCNNModelSect
,
MyLuongAttentionLSTMModel
import
os
...
...
@@ -17,6 +17,7 @@ def load_stations():
import
json
try
:
filename
=
'
supplement/station_list_north_german_plain_rural.json
'
filename
=
'
supplement/WRF_coord_list_from_IntelliO3.json
'
with
open
(
filename
,
'
r
'
)
as
jfile
:
stations
=
json
.
load
(
jfile
)
except
FileNotFoundError
:
...
...
@@ -26,9 +27,9 @@ def load_stations():
def
main
(
parser_args
):
plots
=
remove_items
(
DEFAULT_PLOT_LIST
,
"
PlotConditionalQuantiles
"
)
workflow
=
DefaultWorkflow
(
#
stations=load_stations(),
workflow
=
DefaultWorkflow
(
stations
=
load_stations
(),
# stations=["DEBW087","DEBW013", "DEBW107", "DEBW076"],
lazy_preprocessing
=
False
,
train_model
=
False
,
create_new_model
=
True
,
network
=
"
UBA
"
,
evaluate_bootstraps
=
False
,
# plot_list=["PlotCompetitiveSkillScore"],
# competitors=["test_model", "test_model2"],
...
...
@@ -38,31 +39,35 @@ def main(parser_args):
train_min_length
=
1
,
val_min_length
=
1
,
test_min_length
=
1
,
# data_handler=DataHandlerSingleStation,
# data_handler=DataHandlerSingleGridColumn,
epochs
=
10
,
epochs
=
10
0
,
window_lead_time
=
4
,
window_history_size
=
6
,
stations
=
[
"
coords__48_8479__10_0963
"
,
"
coords__51_8376__14_1417
"
,
#
"coords__50_7536__7_0827", "coords__51_4070__6_9656",
#
"coords__49_8421__7_8662", "coords__49_7410__7_1935",
#
"coords__51_1566__11_8182", "coords__51_4065__6_9660",
#
"coords__50_7333__7_1000", "coords__50_0000__8_0000",
#
"coords__48_7444__7_6000", "coords__51_0000__11_0000",
#
"coords__52_7555__8_1000", "coords__50_0000__2_0000",
#
"coords__51_7666__8_6000", "coords__50_0000__3_0000",
#
"coords__45_7777__9_1000", "coords__50_0000__4_0000",
],
#
stations=["coords__48_8479__10_0963", "coords__51_8376__14_1417",
#
"coords__50_7536__7_0827", "coords__51_4070__6_9656",
#
"coords__49_8421__7_8662", "coords__49_7410__7_1935",
#
"coords__51_1566__11_8182", "coords__51_4065__6_9660",
#
"coords__50_7333__7_1000", "coords__50_0000__8_0000",
#
"coords__48_7444__7_6000", "coords__51_0000__11_0000",
#
"coords__52_7555__8_1000", "coords__50_0000__2_0000",
#
"coords__51_7666__8_6000", "coords__50_0000__3_0000",
#
"coords__45_7777__9_1000", "coords__50_0000__4_0000",
#
],
# data_handler=DataHandlerWRF,
data_handler
=
DataHandlerMainSectWRF
,
#,
# data_path="/p/scratch/deepacf/kleinert1/IASS_proc_monthyl",
#data_path="/p/scratch/deepacf/kleinert1/IASS_proc",
#data_path="/p/project/deepacf/intelliaq/kleinert1/DATA/WRF_CHEM_soft_ln_small_test",
data_path
=
"
/media/felix/INTENSO/WRF_CHEM/hourly/cdo_output_test/jan_test
"
,
# data_path="/media/felix/INTENSO/WRF_CHEM/hourly/cdo_output_test/jan_test",
# data_path="/p/scratch/deepacf/intelliaq/kleinert1/IASS_proc_monthly/monthly2009",
# data_path="/p/scratch/deepacf/intelliaq/kleinert1/IASS_proc_monthly/monthly_count_test",
data_path
=
"
/p/scratch/deepacf/intelliaq/kleinert1/IASS_proc_monthly/monthly2009_2010-03
"
,
#data_path="/p/scratch/deepacf/intelliaq/kleinert1/IASS_proc_monthly/monthly_01-03",
common_file_starter
=
"
wrfout_d01
"
,
date_format_of_nc_file
=
"
%Y-%m
"
,
time_dim
=
'
XTIME
'
,
#external_coords_file='/p/project/deepacf/inbound_data/IASS_upload/coords.nc',
#
external_coords_file="/p/scratch/deepacf/kleinert1/IASS_proc/coords.nc",
external_coords_file
=
"
/media/felix/INTENSO/WRF_CHEM/monthly/coords.nc
"
,
external_coords_file
=
"
/p/scratch/deepacf/
intelliaq/
kleinert1/IASS_proc
_monthly
/coords.nc
"
,
#
external_coords_file="/media/felix/INTENSO/WRF_CHEM/monthly/coords.nc",
transformation
=
{
"
T2
"
:
{
"
method
"
:
"
standardise
"
},
"
Q2
"
:
{
"
method
"
:
"
standardise
"
},
...
...
@@ -100,43 +105,47 @@ def main(parser_args):
start
=
'
2009-01-01
'
,
# end='2009-01-04',
end
=
'
2009-01-31
'
,
#
end='200
9
-03-31',
#
end='2009-01-31',
end
=
'
20
1
0-03-31
'
,
#train_start='2009-01-01',
#train_end='2009-01-02',
train_start
=
'
2009-01-01
'
,
train_end
=
'
2009-01-15
'
,
#
train_end='2009-
02-28
',
#
train_end='2009-01-15',
train_end
=
'
2009-
10-15
'
,
#val_start='2009-01-02',
#val_end='2009-01-03',
###################################
val_start
=
'
2009-01-15
'
,
val_end
=
'
2009-01-22
'
,
#
val_start='2009-01-15',
#
val_end='2009-01-22',
###################################
#
val_start='2009-
03-01
',
#
val_end='2009-
03
-14',
val_start
=
'
2009-
10-16
'
,
val_end
=
'
2009-
12
-14
'
,
#test_start='2009-01-03',
#test_end='2009-01-04',
###################################
test_start
=
'
2009-01-22
'
,
test_end
=
'
2009-01-31
'
,
#
test_start='2009-01-22',
#
test_end='2009-01-31',
###################################
#
test_start='2009-
03
-15',
#
test_end='200
9
-03-31',
test_start
=
'
2009-
12
-15
'
,
test_end
=
'
20
1
0-03-31
'
,
# sampling='hourly',
sampling
=
"
daily
"
,
input_output_sampling4toarstats
=
(
"
hourly
"
,
"
daily
"
),
time_zone
=
"
UTC
"
,
target_time_type
=
"
solar_time
"
,
use_multiprocessing
=
True
,
batch_size
=
64
*
2
*
2
,
interpolation_limit
=
0
,
#
as_image_like_data_format=False,
as_image_like_data_format
=
False
,
# model=MyLSTMModel,
model
=
MyLuongAttentionLSTMModel
,
# model=MyCNNModelSect,
model
=
MyCNNModel
,
#
model=MyCNNModel,
**
parser_args
.
__dict__
)
workflow
.
run
()
...
...
This diff is collapsed.
Click to expand it.
run_wrfdh_sector3_hdfml.bash
0 → 100644
+
18
−
0
View file @
768ec348
#!/bin/bash -x
#SBATCH --account=deepacf
#SBATCH --nodes=1
#SBATCH --output=HPC_logging/mlt-out.%j
#SBATCH --error=HPC_logging/mlt-err.%j
#SBATCH --time=06:00:00
#SBATCH --gres=gpu:4
#SBATCH --mail-type=ALL
#SBATCH --mail-user=f.kleinert@fz-juelich.de
source
HPC_setup/mlt_modules_hdfml.sh
source
venv_hdfml/bin/activate
timestamp
=
`
date
+
"%Y-%m-%d_%H%M-%S"
`
export
PYTHONPATH
=
${
PWD
}
/venv_hdfml/lib/python3.6/site-packages:
${
PYTHONPATH
}
srun
--cpu-bind
=
none python run_wrf_dh_sector3.py
--experiment_date
=
${
timestamp
}
_WRF_sector
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