AWS version needed to check for scaled vs prelim data

plot_nclimgrid_daily-AWS.py

@@ -20,7 +20,6 @@
 
 # Import Modules
 import numpy as np
-import numpy.ma as ma
 import s3fs
 import sys, time, datetime, math, calendar
 
@@ -41,6 +40,9 @@ from cartopy.feature import ShapelyFeature
 from shapely.geometry import mapping
 from metpy.plots import USCOUNTIES
 
+import warnings
+warnings.filterwarnings("ignore")
+
 # Declare User Directories
 main_directory="."
 dataset_directory=main_directory+'/input_nclimgrid'
@@ -102,12 +104,21 @@ s3 = s3fs.S3FileSystem(anon=False)
 # Get Specific File Based on Inputs
 aws_year="%04i" % (int(year))
 aws_month="%02i" % (int(month))
-aws_url='s3://noaa-nclimgrid-daily-pds/beta/by-month/'+aws_year+'/'+aws_month+'/'+element+'-'+aws_year+aws_month+'-grd-prelim.nc'
+aws_version='prelim'
+aws_url='s3://noaa-nclimgrid-daily-pds/beta/by-month/'+aws_year+'/'+aws_month+'/'+element+'-'+aws_year+aws_month+'-grd-'+aws_version+'.nc'
 
 # Read in Data
-aws_file=s3.open(aws_url)
 print('READING IN nClimGrid DATA FROM AWS: ',aws_url)
+try:
+    aws_file=s3.open(aws_url)
+except:
+    aws_version='scaled'
+    aws_url='s3://noaa-nclimgrid-daily-pds/beta/by-month/'+aws_year+'/'+aws_month+'/'+element+'-'+aws_year+aws_month+'-grd-'+aws_version+'.nc'
+    print('FAILED, TRYING THIS URL: ',aws_url)
+    aws_file=s3.open(aws_url)
+
 data_monthly = xr.open_dataset(aws_file)
+print("\tSUCCESS!\n")
 
 # Get Lat/Lons
 nclimgrid_lats=data_monthly.lat.values