diff --git a/run_wrf_dh.py b/run_wrf_dh.py
index e769338b254a04de8cad50d29e70f2e9d22953a5..315ca5ae5ea388753e5d227c06003e508ba4b8bc 100644
--- a/run_wrf_dh.py
+++ b/run_wrf_dh.py
@@ -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='2009-03-31',
+        end='2010-03-31',
         
+        #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='2009-03-15',
-        test_end='2009-03-31',
+        #test_start='2009-01-22',
+        #test_end='2009-01-31',
         ###################################
-        # test_start='2009-03-02',
-        # test_end='2009-03-31',
+        test_start='2009-12-15',
+        test_end='2010-03-31',
         
         # 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()
diff --git a/run_wrf_dh_sector.py b/run_wrf_dh_sector.py
index 7c7fd3c8b06f9568b17124252879ee39b80feaeb..ff7545088c7239a264e96e30c8e3ccfad18985b1 100644
--- a/run_wrf_dh_sector.py
+++ b/run_wrf_dh_sector.py
@@ -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=100,
         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='2009-03-31',
+        #end='2009-01-31',
+        end='2010-03-31',
         
         #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='2009-03-31',
+        test_start='2009-12-15',
+        test_end='2010-03-31',
         
         # 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()
diff --git a/run_wrfdh_sector3_hdfml.bash b/run_wrfdh_sector3_hdfml.bash
new file mode 100644
index 0000000000000000000000000000000000000000..e73380cfbded22fd23b93578d6bf861a2990d1b9
--- /dev/null
+++ b/run_wrfdh_sector3_hdfml.bash
@@ -0,0 +1,18 @@
+#!/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