Merge pull request #910 from jvgeiger/fix/sonarqube-lisf-557ww-7.4

Address SonarQube findings for upcoming LISF 557WW 7.4.5 release

Author: emkemp

ldt/utils/usaf/bcsd_preproc/lib_bcsd_metrics/All_functions.py

@@ -17,10 +17,7 @@ def Sel_var (SEL_CIM_DATA, VAR_NAME, MODEL):
 		else:
 			VAR_SEL_CLIM_DATA = SEL_CIM_DATA.SoilMoist_tavg.sum(dim='SoilMoist_profiles') ## Summing soil moisture from all layers
 	if VAR_NAME == 'Surface-SM':
-		if (MODEL=='CLSM'):
-			VAR_SEL_CLIM_DATA = SEL_CIM_DATA.SoilMoist_tavg.isel(SoilMoist_profiles=0) # for clsm the total soil moisture is in the third layer
-		else:
-			VAR_SEL_CLIM_DATA = SEL_CIM_DATA.SoilMoist_tavg.isel(SoilMoist_profiles=0) ## Summing soil moisture from all layers
+		VAR_SEL_CLIM_DATA = SEL_CIM_DATA.SoilMoist_tavg.isel(SoilMoist_profiles=0)
 
 	elif VAR_NAME == 'Total-Runoff':
 		VAR_SEL_CLIM_DATA = SEL_CIM_DATA.Qs_tavg+SEL_CIM_DATA.Qsb_tavg ## Adding total surface runoff with sub-surface runoff

ldt/utils/usaf/bcsd_preproc/lib_bcsd_metrics/BCSD_function.py

@@ -54,7 +54,7 @@ def CALC_BCSD(OBS_CLIM_ALL, FCST_CLIM_ALL, LEAD_FINAL, TARGET_FCST_VAL_ARR, TARG
                         #BIAS_CORRECTED_VALUE = lookup(TARGET_FCST_QUANT, OBS_QUANT_TS.values, OBS_CLIM_TS.values, len(OBS_CLIM_TS.values), BC_VAR, 'DATA', obs_mean, obs_sd, obs_skew, TINY);
 
                         if (BC_VAR=='PRCP') and (BIAS_CORRECTED_VALUE<0): ## This is just a hack to check we are not getting negative value of precipitation
-                                print (TARGET_FCST_VAL, TARGET_FCST_QUANT, fcst_yr, LEAD_NUM, ens_num, lat_num, lon_num)
+                                print (TARGET_FCST_VAL, TARGET_FCST_QUANT, fcst_yr, LEAD_NUM, ens_num)
 
 				## Now storing the bias corrected anomaly 
                         CORRECT_FCST_COARSE[fcst_yr, LEAD_NUM, ens_num] = BIAS_CORRECTED_VALUE

ldt/utils/usaf/bcsd_preproc/lib_bcsd_metrics/BCSD_stats_functions.py

@@ -217,7 +217,7 @@ def get_F_from_data_EVI(mean, sd, x, TINY):
 
     if(F>=1.0) or (F<=0.0):
         print ("Error in get_F_from_data_EVI")
-        print ("Bad quantile: data={:0.2f} mean={0.2f} sd={0.2f} quant={0.2f}".format(x,mean,sd,F));
+        print ("Bad quantile: data={:0.2f} mean={:0.2f} sd={:0.2f} quant={:0.2f}".format(x,mean,sd,F));
         sys.exit(1);
     else:
         return F;
@@ -226,7 +226,7 @@ def get_data_from_F_EVI(mean, sd, F, TINY):
     #Gumbel (EV Type I distribution) for maxima
     if(F>=1.0) or (F<=0.0):
         print ("Error in get_data_from_F_EVI")
-        print ("Bad quantile: mean={0.2f} sd={0.2f} quant={0.2f}".format(mean,sd,F))
+        print ("Bad quantile: mean={:0.2f} sd={:0.2f} quant={:0.2f}".format(mean,sd,F))
         sys.exit(0);
     b = 3.14159/(sd*sqrt(6))
     a = mean-0.5772/b

ldt/utils/usaf/bcsd_preproc/lib_bcsd_metrics/Shrad_modules.py

@@ -79,7 +79,6 @@ def plotmap(var, lats, lons, lat_min, lat_max, lat_int, lon_min, lon_max, lon_in
     if plottype == 'mesh':
         cs=m.pcolormesh(xi, yi, var, vmax=cbmax, vmin=cbmin, cmap=cmap)
     elif plottype == 'contour':
-        cmap = cmap
         cmap.set_under(col_under)
         cmap.set_over(col_higher)
         norm = mpl.pyplot.cm.colors.Normalize(vmax=cbmax, vmin=cbmin, clip=False)

lvt/utils/usaf/s2smetric/lib_bcsd_metrics/All_functions.py

@@ -19,10 +19,7 @@ def Sel_var (SEL_CIM_DATA, VAR_NAME, MODEL):
                         VAR_SEL_CLIM_DATA = SEL_CIM_DATA.SoilMoist_tavg.isel(soil_layer=0)*0.05+SEL_CIM_DATA.SoilMoist_tavg.isel(soil_layer=1)*0.15+SEL_CIM_DATA.SoilMoist_tavg.isel(soil_layer=2)*0.3+SEL_CIM_DATA.SoilMoist_tavg.isel(soil_layer=3)*0.5
 
 	if VAR_NAME == 'Surface-SM':
-		if (MODEL=='CLSM'):
-			VAR_SEL_CLIM_DATA = SEL_CIM_DATA.SoilMoist_tavg.isel(soil_layer=0) # for clsm the total soil moisture is in the third layer
-		else:
-			VAR_SEL_CLIM_DATA = SEL_CIM_DATA.SoilMoist_tavg.isel(soil_layer=0) ## Summing soil moisture from all layers
+		VAR_SEL_CLIM_DATA = SEL_CIM_DATA.SoilMoist_tavg.isel(soil_layer=0)
 
 	elif VAR_NAME == 'Total-Runoff':
 		VAR_SEL_CLIM_DATA = SEL_CIM_DATA.Qs_tavg+SEL_CIM_DATA.Qsb_tavg ## Adding total surface runoff with sub-surface runoff
@@ -43,15 +40,12 @@ def GET_BOUNDARY(REGION_NAME):
 	BOUNDARY_EA = (22, 55, -12, 23); BOUNDARY_WA = (-19, 26, -5, 25)
 	##BOUNDARY_SA = (8, 52, -37, 0); BOUNDARY_FAME = (-20, 60, -40, 40)
 	BOUNDARY_SA = (8, 52, -37, 6); BOUNDARY_FAME = (-20, 55, -40, 40)
-        #BOUNDARY_SA1 = (24, 33, -31, -24)
 	if (REGION_NAME == 'EA'):
 		Boundary = BOUNDARY_EA
 	elif (REGION_NAME == 'WA'):
 		Boundary = BOUNDARY_WA
 	elif (REGION_NAME == 'SA'):
 		Boundary = BOUNDARY_SA
-	elif (REGION_NAME == 'SA1'):
-		Boundary = BOUNDARY_SA1
 	else: 
 		Boundary = BOUNDARY_FAME
 	return Boundary

lvt/utils/usaf/s2smetric/lib_bcsd_metrics/Shrad_modules.py

@@ -78,7 +78,6 @@ def plotmap(var, lats, lons, lat_min, lat_max, lat_int, lon_min, lon_max, lon_in
     if plottype == 'mesh':
         cs=m.pcolormesh(xi, yi, var, vmax=cbmax, vmin=cbmin, cmap=cmap)
     elif plottype == 'contour':
-        cmap = cmap
         cmap.set_under(col_under)
         cmap.set_over(col_higher)
         norm = mpl.pyplot.cm.colors.Normalize(vmax=cbmax, vmin=cbmin, clip=False)