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[THREDDS #KAL-154307]: NBM Data Set
- Subject: [THREDDS #KAL-154307]: NBM Data Set
- Date: Wed, 16 Feb 2022 17:36:46 -0700
Greetings!
Here's an example using MetPy, Siphon and access using a remote access protocol:
from datetime import datetime, timedelta
import metpy
from siphon.catalog import TDSCatalog
cat =
TDSCatalog('https://thredds.ucar.edu/thredds/catalog/grib/NCEP/NBM/CONUS/catalog.xml')
ds = cat.datasets['Best National Blend of Models CONUS Grids Time Series']
# Use opendap/cdmremote
nc = ds.remote_access(use_xarray=True)
vis_1wk = nc.metpy.parse_cf('Visibility_surface')
start = datetime.utcnow()
vis_1wk.metpy.sel(time=slice(start, start + timedelta(days=7)))
This one uses the netCDF Subset Service (based on the above):
# Use NCSS
ncss = ds.subset()
query = ncss.query().variables('Visibility_surface').time_range(start,
start + timedelta(days=7)).accept('netcdf4')
nc = ncss.get_data(query)
Hope this helps!
> Yes python is the main language I am programming with. That would be great
> thanks!
>
Ticket Details
===================
Ticket ID: KAL-154307
Department: Support THREDDS
Priority: High
Status: Closed
===================
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