[THREDDS #KAL-154307]: NBM Data Set

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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