changed comment on pv

enstools/feature/identification/pv_streamer/run_identify.py

@@ -9,11 +9,12 @@ import os
 pipeline = FeaturePipeline(pv_streamer_pb2, processing_mode='3d')
 
 # init PVIdentification strategy, can take different parameters
-i_strat = PVIdentification(unit='pv') # , out_type='ll' , mode_2d_layer=330) # theta_range=(300, 380), extract_containing_layer=330)
+# specify unit as 'pv' or 'pvu' depending on data unit
+i_strat = PVIdentification(unit='pv') # ,out_type='ll' , mode_2d_layer=330, theta_range=(300, 380), extract_containing_layer=330)
 
 # or strategy by Wernli and Sprenger (2007). Note: Fortran required and manual adaptation of scripts needed.
 # change contour.f level too, also if data in PV/PVU adapt param.
-# also pretty restrictive filewise. only global. need -180lon and 180lon.
+# also pretty restrictive filewise.
 # i_strat = PVWernliSprenger2007(unit='pv')
 
 # t_strat = OverlapTracking()