include run scripts for competitors

run_wrf_dh_intelliO3.py

+__author__ = "Lukas Leufen"
+__date__ = '2020-06-29'
+
+import argparse
+# from mlair.data_handler.data_handler_single_station import DataHandlerSingleStation
+from mlair.data_handler.data_handler_wrf_chem import DataHandlerWRF, DataHandlerMainSectWRF, DataHandlerMainMinorSectWRF
+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, MyLuongAttentionLSTMModel, MyUnet
+
+import os
+
+
+def load_stations():
+    import json
+    try:
+        filename = 'supplement/WRF_coord_list_from_IntelliO3.json'
+        with open(filename, 'r') as jfile:
+            stations = json.load(jfile)
+    except FileNotFoundError:
+        stations = None
+    return stations
+
+
+def main(parser_args):
+    do_not_plot = ["PlotDataHistogram", "PlotAvailability"]
+    plots = remove_items(DEFAULT_PLOT_LIST, do_not_plot) +  ["PlotSectorialSkillScore"]
+    workflow = DefaultWorkflow(  stations=load_stations(),
+        lazy_preprocessing=False,
+        train_model=False, create_new_model=True, network="UBA",
+        evaluate_feature_importance=False,
+        feature_importance_bootstrap_type="group_of_variables",
+        feature_importance_create_new_bootstraps=False,
+        feature_importance_bootstrap_method="zero_mean",
+        plot_list=plots,
+        #competitors=["NN1s", "sector_baseline"],
+        #competitor_path="/p/scratch/deepacf/kleinert1/IASS_proc_monthyl/competitors/o3",
+        uncertainty_estimate_block_length="7d",
+        train_min_length=1, val_min_length=1, test_min_length=1,
+        epochs=300,
+        window_lead_time=4,
+        window_history_size=6,
+        data_handler=DataHandlerWRF,
+        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"},
+            "PBLH": {"method": "standardise"},
+            "Ull": {"method": "standardise"},
+            "Vll": {"method": "standardise"},
+            "wdir10ll": {"method": "min_max", "min": 0., "max": 360.},
+            "wspd10ll": {"method": "standardise"},
+            'no': {"method": "standardise"},
+            'no2': {"method": "standardise"},
+            'co': {"method": "standardise"},
+            'PSFC': {"method": "standardise"},
+            # 'CLDFRA': {"method": "min_max", "min": 0., "max": 1.},
+        },
+        # variables=['T2', 'o3', 'wdir10ll', 'wspd10ll', 'no', 'no2', 'co', 'PSFC', 'PBLH', 'CLDFRA'],
+        variables=['T2', 'o3', 'wdir10ll', 'wspd10ll', 'no', 'no2', 'co', 'PSFC', 'PBLH', 'Q2'],
+        target_var='o3',
+        target_var_unit="ppb",
+        vars_for_unit_conv={'o3': 'ppbv'},
+        # statistics_per_var={'T2': None, 'o3': None, 'wdir10ll': None, 'wspd10ll': None,
+        #                     'no': None, 'no2': None, 'co': None, 'PSFC': None, 'PBLH': None, 'CLDFRA': None, },
+        statistics_per_var={'T2': "average_values", 'o3': "dma8eu", 'wdir10ll': "average_values",
+                            'wspd10ll': "average_values", 'no': "dma8eu", 'no2': "dma8eu", 'co': "dma8eu",
+                            'PSFC': "average_values", 'PBLH': "average_values", 'Q2': "average_values",
+                            # 'CLDFRA': "average_values",
+                            },
+        # variables=['T2', 'Q2', 'PBLH', 'U10ll', 'V10ll', 'wdir10ll', 'wspd10ll'],
+        # target_var=["T2"],
+        # statistics_per_var={'T2': None, 'Q2': None, 'PBLH': None,
+        #                     'U10ll': None, 'V10ll': None, 'wdir10ll': None, 'wspd10ll': None},
+        wind_sectors=['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW'],
+        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='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='2009-10-15',
+        
+        #val_start='2009-01-02',
+        #val_end='2009-01-03',
+        ###################################
+        #val_start='2009-01-15',
+        #val_end='2009-01-22',
+        ###################################
+        val_start='2009-10-16',
+        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='2009-12-15',
+        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=True,
+        #model=MyUnet,
+        model=IntelliO3TsArchitecture,
+
+        **parser_args.__dict__)
+    workflow.run()
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--experiment_date', metavar='--exp_date', type=str, default="testrun",
+                        help="set experiment date as string")
+    args = parser.parse_args()
+    main(args)

run_wrf_dh_sector3.py

+__author__ = "Lukas Leufen"
+__date__ = '2020-06-29'
+
+import argparse
+# from mlair.data_handler.data_handler_single_station import DataHandlerSingleStation
+from mlair.data_handler.data_handler_wrf_chem import DataHandlerWRF, DataHandlerMainSectWRF, DataHandlerMainMinorSectWRF
+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, MyLuongAttentionLSTMModel, MySimpleLSTM, MySimpleGRU, MySimpleConv1D, MySimpleConv2D, MyUnet, NN3s
+
+import os
+
+
+def load_stations():
+    import json
+    try:
+        filename = 'supplement/WRF_coord_list_from_IntelliO3.json'
+        with open(filename, 'r') as jfile:
+            stations = json.load(jfile)
+    except FileNotFoundError:
+        stations = None
+    return stations
+
+
+def main(parser_args):
+    do_not_plot = ["PlotDataHistogram", "PlotAvailability"]
+    plots = remove_items(DEFAULT_PLOT_LIST, do_not_plot) +  ["PlotSectorialSkillScore"]
+    workflow = DefaultWorkflow(  stations=load_stations(),
+        lazy_preprocessing=False,
+        train_model=False, create_new_model=True, network="UBA",
+        evaluate_feature_importance=False,
+        feature_importance_bootstrap_type=["group_of_variables_var_in_sectors",  "group_of_variables_sector"], 
+        feature_importance_create_new_bootstraps=False,
+        feature_importance_bootstrap_method=["zero_mean", "shuffle"], 
+        feature_importance_n_boots=30, 
+        plot_list=plots,
+        competitors=["NNb", "NN1s", "IntelliO3_b", "IntelliO3_1s", "IntelliO3_3s"],
+        competitor_path="/p/scratch/deepacf/intelliaq/kleinert1/IASS_proc_monthly/competitors/o3",
+        uncertainty_estimate_block_length="7d",
+        train_min_length=1, val_min_length=1, test_min_length=1,
+        epochs=300,
+        window_lead_time=4,
+        window_history_size=6,
+        data_handler=DataHandlerMainMinorSectWRF,
+        data_path = "/p/scratch/deepacf/intelliaq/kleinert1/IASS_proc_monthly/monthly2009_2010-03", 
+        common_file_starter="wrfout_d01",
+        date_format_of_nc_file="%Y-%m",
+        time_dim='XTIME',
+         external_coords_file="/p/scratch/deepacf/intelliaq/kleinert1/IASS_proc_monthly/coords.nc",
+        transformation={
+            "T2": {"method": "standardise"},
+            "Q2": {"method": "standardise"},
+            "PBLH": {"method": "standardise"},
+            "Ull": {"method": "standardise"},
+            "Vll": {"method": "standardise"},
+            "wdir10ll": {"method": "min_max", "min": 0., "max": 360.},
+            "wspd10ll": {"method": "standardise"},
+            'no': {"method": "standardise"},
+            'no2': {"method": "standardise"},
+            'co': {"method": "standardise"},
+            'PSFC': {"method": "standardise"},
+        },
+        variables=['T2', 'o3', 'wdir10ll', 'wspd10ll', 'no', 'no2', 'co', 'PSFC', 'PBLH', 'Q2'],
+        target_var='o3',
+        target_var_unit="ppb",
+        vars_for_unit_conv={'o3': 'ppbv'},
+        statistics_per_var={'T2': "average_values", 'o3': "dma8eu", 'wdir10ll': "average_values",
+                            'wspd10ll': "average_values", 'no': "dma8eu", 'no2': "dma8eu", 
+                            'PSFC': "average_values", 'PBLH': "average_values",
+                            'co': "dma8eu", 'Q2':"average_values", 
+                            },
+        wind_sectors=['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW'],
+        var_logical_z_coord_selector=0,
+        targetvar_logical_z_coord_selector=0,
+        aggregation_dim='bottom_top',
+
+        radius=200,  # km
+
+        start='2009-01-01',
+        end='2010-03-31',
+        
+        train_start='2009-01-01',
+        train_end='2009-10-15',
+        
+        val_start='2009-10-16',
+        val_end='2009-12-14',
+
+        test_start='2009-12-15',
+        test_end='2010-03-31',
+        
+        sampling="daily",
+        input_output_sampling4toarstats=("hourly", "daily"), # tuple(from, to)
+        time_zone="UTC",
+        target_time_type="solar_time",
+        use_multiprocessing=True,
+        
+        batch_size=64*2*2*2,
+        interpolation_limit=0,
+        as_image_like_data_format=True,
+        model=NN3s,
+
+        **parser_args.__dict__)
+    workflow.run()
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--experiment_date', metavar='--exp_date', type=str, default="testrun",
+                        help="set experiment date as string")
+    args = parser.parse_args()
+    main(args)

run_wrf_dh_sector3_intelliO3.py

+__author__ = "Lukas Leufen"
+__date__ = '2020-06-29'
+
+import argparse
+# from mlair.data_handler.data_handler_single_station import DataHandlerSingleStation
+from mlair.data_handler.data_handler_wrf_chem import DataHandlerWRF, DataHandlerMainSectWRF, DataHandlerMainMinorSectWRF
+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, MyLuongAttentionLSTMModel, MySimpleLSTM, MySimpleGRU, MySimpleConv1D, MySimpleConv2D, MyUnet, NN3s
+
+import os
+
+
+def load_stations():
+    import json
+    try:
+        filename = 'supplement/WRF_coord_list_from_IntelliO3.json'
+        with open(filename, 'r') as jfile:
+            stations = json.load(jfile)
+    except FileNotFoundError:
+        stations = None
+    return stations
+
+
+def main(parser_args):
+    do_not_plot = ["PlotDataHistogram", "PlotAvailability"]
+    plots = remove_items(DEFAULT_PLOT_LIST, do_not_plot) +  ["PlotSectorialSkillScore"]
+    workflow = DefaultWorkflow(  stations=load_stations(),
+        lazy_preprocessing=False,
+        train_model=False, create_new_model=True, network="UBA",
+        evaluate_feature_importance=False,
+        feature_importance_bootstrap_type=["group_of_variables_var_in_sectors",  "group_of_variables_sector"], 
+        feature_importance_create_new_bootstraps=False,
+        feature_importance_bootstrap_method=["zero_mean", "shuffle"], 
+        feature_importance_n_boots=30, 
+        plot_list=plots,
+        competitors=["NNb", "NN1s"],
+        competitor_path="/p/scratch/deepacf/intelliaq/kleinert1/IASS_proc_monthly/competitors/o3",
+        uncertainty_estimate_block_length="7d",
+        train_min_length=1, val_min_length=1, test_min_length=1,
+        epochs=300,
+        window_lead_time=4,
+        window_history_size=6,
+        data_handler=DataHandlerMainMinorSectWRF,
+        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"},
+            "PBLH": {"method": "standardise"},
+            "Ull": {"method": "standardise"},
+            "Vll": {"method": "standardise"},
+            "wdir10ll": {"method": "min_max", "min": 0., "max": 360.},
+            "wspd10ll": {"method": "standardise"},
+            'no': {"method": "standardise"},
+            'no2': {"method": "standardise"},
+            'co': {"method": "standardise"},
+            'PSFC': {"method": "standardise"},
+            # 'CLDFRA': {"method": "min_max", "min": 0., "max": 1.},
+        },
+        # variables=['T2', 'o3', 'wdir10ll', 'wspd10ll', 'no', 'no2', 'co', 'PSFC', 'PBLH', 'CLDFRA'],
+#         variables=['T2', 'o3', 'wdir10ll', 'wspd10ll', 'no', 'no2', 'co', 'PSFC', 'PBLH'],
+        variables=['T2', 'o3', 'wdir10ll', 'wspd10ll', 'no', 'no2', 'co', 'PSFC', 'PBLH', 'Q2'],
+        target_var='o3',
+        target_var_unit="ppb",
+        vars_for_unit_conv={'o3': 'ppbv'},
+        # statistics_per_var={'T2': None, 'o3': None, 'wdir10ll': None, 'wspd10ll': None,
+        #                     'no': None, 'no2': None, 'co': None, 'PSFC': None, 'PBLH': None, 'CLDFRA': None, },
+        statistics_per_var={'T2': "average_values", 'o3': "dma8eu", 'wdir10ll': "average_values",
+                            'wspd10ll': "average_values", 'no': "dma8eu", 'no2': "dma8eu", 
+                            'PSFC': "average_values", 'PBLH': "average_values",
+                            # 'CLDFRA': "average_values",
+                            'co': "dma8eu", 'Q2':"average_values", 
+                            },
+        # variables=['T2', 'Q2', 'PBLH', 'U10ll', 'V10ll', 'wdir10ll', 'wspd10ll'],
+        # target_var=["T2"],
+        # statistics_per_var={'T2': None, 'Q2': None, 'PBLH': None,
+        #                     'U10ll': None, 'V10ll': None, 'wdir10ll': None, 'wspd10ll': None},
+        wind_sectors=['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW'],
+        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='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='2009-10-15',
+        
+        #val_start='2009-01-02',
+        #val_end='2009-01-03',
+        ###################################
+        #val_start='2009-01-15',
+        #val_end='2009-01-22',
+        ###################################
+        val_start='2009-10-16',
+        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='2009-12-15',
+        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*2,
+        interpolation_limit=0,
+        as_image_like_data_format=True,
+        #model=MyUnet, 
+        #model=NN3s,
+        model=IntelliO3TsArchitecture,
+
+        **parser_args.__dict__)
+    workflow.run()
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--experiment_date', metavar='--exp_date', type=str, default="testrun",
+                        help="set experiment date as string")
+    args = parser.parse_args()
+    main(args)

run_wrf_dh_sector_intelliO3.py

+__author__ = "Lukas Leufen"
+__date__ = '2020-06-29'
+
+import argparse
+# from mlair.data_handler.data_handler_single_station import DataHandlerSingleStation
+from mlair.data_handler.data_handler_wrf_chem import DataHandlerWRF, DataHandlerMainSectWRF
+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, MyLuongAttentionLSTMModel, MyUnet
+
+import os
+
+
+def load_stations():
+    import json
+    try:
+        filename = 'supplement/WRF_coord_list_from_IntelliO3.json'
+        with open(filename, 'r') as jfile:
+            stations = json.load(jfile)
+    except FileNotFoundError:
+        stations = None
+    return stations
+
+
+def main(parser_args):
+    do_not_plot = ["PlotDataHistogram", "PlotAvailability"]
+    plots = remove_items(DEFAULT_PLOT_LIST, do_not_plot)+ ["PlotSectorialSkillScore"]
+    workflow = DefaultWorkflow(  stations=load_stations(),
+        lazy_preprocessing=False,
+        train_model=False, create_new_model=True, network="UBA",
+        evaluate_feature_importance=False,
+        feature_importance_bootstrap_type="group_of_variables",
+        feature_importance_create_new_bootstraps=False,
+        feature_importance_bootstrap_method="zero_mean",
+        plot_list=plots,
+        #competitors=["NNb", "NN1s"],
+        #competitor_path="/p/scratch/deepacf/kleinert1/IASS_proc_monthyl/competitors/o3",
+        uncertainty_estimate_block_length="7d",
+        train_min_length=1, val_min_length=1, test_min_length=1,
+        epochs=300,
+        window_lead_time=4,
+        window_history_size=6,
+        data_handler=DataHandlerMainSectWRF, #,
+        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"},
+            "PBLH": {"method": "standardise"},
+            "Ull": {"method": "standardise"},
+            "Vll": {"method": "standardise"},
+            "wdir10ll": {"method": "min_max", "min": 0., "max": 360.},
+            "wspd10ll": {"method": "standardise"},
+            'no': {"method": "standardise"},
+            'no2': {"method": "standardise"},
+            'co': {"method": "standardise"},
+            'PSFC': {"method": "standardise"},
+            # 'CLDFRA': {"method": "min_max", "min": 0., "max": 1.},
+        },
+        # variables=['T2', 'o3', 'wdir10ll', 'wspd10ll', 'no', 'no2', 'co', 'PSFC', 'PBLH', 'CLDFRA'],
+        variables=['T2', 'o3', 'wdir10ll', 'wspd10ll', 'no', 'no2', 'co', 'PSFC', 'PBLH', 'Q2'],
+        target_var='o3',
+        target_var_unit="ppb",
+        vars_for_unit_conv={'o3': 'ppbv'},
+        # statistics_per_var={'T2': None, 'o3': None, 'wdir10ll': None, 'wspd10ll': None,
+        #                     'no': None, 'no2': None, 'co': None, 'PSFC': None, 'PBLH': None, 'CLDFRA': None, },
+        statistics_per_var={'T2': "average_values", 'o3': "dma8eu", 'wdir10ll': "average_values",
+                            'wspd10ll': "average_values", 'no': "dma8eu", 'no2': "dma8eu", 'co': "dma8eu",
+                            'PSFC': "average_values", 'PBLH': "average_values", 'Q2':"average_values", 
+                            # 'CLDFRA': "average_values",
+                            },
+        # variables=['T2', 'Q2', 'PBLH', 'U10ll', 'V10ll', 'wdir10ll', 'wspd10ll'],
+        # target_var=["T2"],
+        # statistics_per_var={'T2': None, 'Q2': None, 'PBLH': None,
+        #                     'U10ll': None, 'V10ll': None, 'wdir10ll': None, 'wspd10ll': None},
+        wind_sectors=['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW'],
+        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='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='2009-10-15',
+        
+        #val_start='2009-01-02',
+        #val_end='2009-01-03',
+        ###################################
+        #val_start='2009-01-15',
+        #val_end='2009-01-22',
+        ###################################
+        val_start='2009-10-16',
+        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='2009-12-15',
+        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=True,
+        #model=MyUnet,
+        model=IntelliO3TsArchitecture,
+
+        **parser_args.__dict__)
+    workflow.run()
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--experiment_date', metavar='--exp_date', type=str, default="testrun",
+                        help="set experiment date as string")
+    args = parser.parse_args()
+    main(args)