Urban cooling model, adding n_worker to dictionary

Hi all,

Is this the correct way to put n_worker option to the dictionary?

{‘cc_weight_eti’: ‘0.2’, ‘aoi_vector_path’: ‘Y:\Project\E555149_H2020_NATURVATION\Data\Urban_atlas_2012\modelrun_test\FR001L1_lc_boundary.shp’, ‘cc_weight_shade’: ‘0.6’, ‘cc_method’: ‘factors’, ‘uhi_max’: ‘2.901’, ‘ref_eto_raster_path’: ‘Y:\Project\E555149_H2020_NATURVATION\Data\Urban_atlas_2012\modelrun_test\FR001L1_evap.tif’, ‘green_area_cooling_distance’: ‘1000’, ‘biophysical_table_path’: ‘Y:\Project\E555149_H2020_NATURVATION\Data\Urban_atlas_2012\modelrun_test\FR001L1_groen_biophysical.csv’, ‘t_air_average_radius’: ‘500’, ‘cc_weight_albedo’: ‘0.2’, ‘results_suffix’: ‘FR001L1_groen’, ‘workspace_dir’: ‘Y:\Project\E555149_H2020_NATURVATION\Data\Urban_atlas_2012\testen_nworkers’, ‘lulc_raster_path’: ‘Y:\Project\E555149_H2020_NATURVATION\Data\Urban_atlas_2012\modelrun_test\FR001L1_LC.tif’, ‘t_ref’: ‘23.971’, ‘do_valuation’: False, ‘n_workers’: 16}

With regards, Martijn

Hi @MartijnS, yep! That is the correct way to define the n_workers option. So then this should run modelling tasks in up to 16 processes at a time. Is it not doing what you’d expect?

James