Read NetCDF in batch (ArcGIS)

###################################################################################
######## Read NOAA's NARR meteorolgy data (NetCDF format) in ArcGIS ###############
###################################################################################

import arcpy

# Variable name
variable = "prmsl" 
# Longitude
x_dimension = "x" 
# Latitude
y_dimension = "y" 
band_dimension = ""
dimension = "time" 
valueSelectionMethod = "BY_VALUE"

outLoc = "C:/Users/######/AOD/SLP/SLP_out/2012/"
inNetCDF = "C:/Users/######/AOD/SLP/prmsl.2012.nc"

nc_FP = arcpy.NetCDFFileProperties(inNetCDF)
nc_Dim = nc_FP.getDimensions()

for dimension in nc_Dim:
    top = nc_FP.getDimensionSize(dimension)
    for i in range(365,366):
        if dimension == "time":
            dimension_values = nc_FP.getDimensionValue(dimension, i)
            nowFile = "prmsl"+str(i)

            #THIS IS THE NEW CODE HERE
            dv1 = ["time", dimension_values]
            dimension_values = [dv1]
            #END NEW CODE

            arcpy.MakeNetCDFRasterLayer_md(inNetCDF, variable, x_dimension, y_dimension, nowFile,band_dimension, dimension_values, valueSelectionMethod)
            arcpy.CopyRaster_management(nowFile, outLoc + nowFile + ".img", "", "", "", "NONE", "NONE", "")
            print dimension_values, i 

# The number of output layers will equal to the number of "dimension"

import arcpy

# Conver raster to vector points

in_path = "C:/Users/######//AOD/SLP/SLP_out/2012/"
out_path = "C:/Users/######//GIS/AOD/SLP/2012_TX/"

 # Clip raster
for i in range(365,366):
 in_raster = in_path +"prmsl"+str(i)+".img"
 out_feature =  "prmsl_2012_tx"+str(i)
 Clip_feature="C:/Users/xzhang10/Desktop/Infill/GIS/AOD/Boundary/Texas_extend.shp"
 arcpy.Clip_management(in_raster,"#",out_feature,Clip_feature,"#","ClippingGeometry","MAINTAIN_EXTENT")
 
 # Conver raster to vector points
 arcpy.RasterToPoint_conversion("prmsl_2012_tx"+str(i), out_path+"prmsl_2012_tx"+str(i)+".shp", "VALUE")