ignore 10% forestcluster for aggregating

Author: ArcticSnow

TopoPyScale/sim_fsm2oshd.py

@@ -189,7 +189,11 @@ def _combine_open_forest(fname_df_forest='fsm_sim/df_forest.pckle',
     dsf = xr.open_dataset(fname_forest)
     dso = xr.open_dataset(fname_open)
     point_ind = dsf.point_ind.values
-    ds = dsf * df_forest.proportion_with_forest.iloc[point_ind] + dso * (1-df_forest.proportion_with_forest.iloc[point_ind])
+
+    coeff = df_forest.proportion_with_forest.iloc[point_ind]
+    if coeff <= 0.1:
+        coeff = 0
+    ds = dsf * coeff + dso * (1-coeff)
 
     fname_out = f'{fout}_{str(point_ind).zfill(n_digits)}.nc'
     te.to_netcdf(ds, fname_out)