"dimensions": ["time", "level"],
"attributes": {"units": "meters s-1", "long_name": "Velocity error magnitude"},
},
"speed": {
"data": ADCP[:, -2, :],
"dimensions": ["time", "level"],
"attributes": {"units": "meters s-1", "long_name": "Current speed"},
},
"direction": {
"data": ADCP[:, -1, :],
"dimensions": ["time", "level"],
"attributes": {"units": "degrees North", "long_name": "Current direction"},
},
}
ncwrite(nc, out, Quiet=False)
# Check everything looks sensible
# Load in the NetCDF file and overlay on the input data.
NC = readFVCOM(out, noisy=True)
fig0 = plt.figure(figsize=(10, 7.5))
n = 10
for i in xrange(n):
yyyy, mm, dd, HH, MM, SS = ADCP[i, 0:6, 0].astype(int)
plt.clf()
plt.subplot2grid((2, 2), (0, 0))
plt.plot(ADCP[i, -2, :], -np.sort(bins), ".-")
plt.plot(NC["speed"][i, :], -np.sort(bins), "bx:")
plt.xlim(ADCP[:n, -2, :].min(), ADCP[:n, -2, :].max())
def dump(data, fout, noisy=False):
"""
Dump the data from the GRIB files into a netCDF file.
Parameters
----------
data : dict
The data from the GRIB files. This is the output of `gread'.
fout : str
Output file name.
noisy : bool, optional
Set to True for verbose output (defaults to False).
"""
tmpvar = data.keys()[0]
lon, lat = data[tmpvar]['lon'], data[tmpvar]['lat']
mjdtime = data[tmpvar]['time']
Times = [i.strftime('%Y-%m-%dT%H:%M:%S') for i in data[tmpvar]['Times']]
ny, nx, _ = data[data.keys()[0]]['data'].shape
datestrlen = 19
nc = {}
nc['dimensions'] = {
'lat': ny,
'lon': nx,
'time': None,
'datestrlen': datestrlen
}
nc['global attributes'] = {
'description': 'ECMWF ERA-20C data for FVCOM from ecmwf-era20c.py',
'source': 'http://apps.ecmwf.int/datasets/data/era20c-daily/',
'history': 'Created by Pierre Cazenave on {}'.format(
time.ctime(time.time())
)
}
nc['variables'] = {
'lat': {'data': [lat],
'dimensions': ['lon', 'lat'],
'attributes': {'units': 'degrees_north',
'standard_name': 'latitude',
'long_name': 'Latitude',
'axis': 'Y'}
},
'lon': {'data': [lon],
'dimensions': ['lon', 'lat'],
'attributes': {'units': 'degrees_east',
'standard_name': 'longitude',
'long_name': 'Longitude',
'axis': 'X'}
},
'time': {'data': mjdtime,
'dimensions': ['time'],
'attributes': {'format': 'Modified Julian Day (MJD)',
'longname': 'time',
'units': 'days since 1858-11-17 00:00:00',
'time_zone': 'UTC'}
},
'Times': {'data': Times,
'dimensions': ['time', 'datestrlen'],
'attributes': {'time_zone': 'UTC'},
'data_type': 'c'
}
}
# Add the rest of the variables and their data.
for var in data.keys():
# Use the shortname as the variable name (no spaces).
sname = data[var]['shortName']
new = {sname: {'data': data[var]['data'].transpose(2, 0, 1),
'dimensions': ['time', 'lat', 'lon'],
'attributes': {'shortname': data[var]['shortName'],
'longname': data[var]['longName'],
'units': data[var]['units']
}
}}
nc['variables'].update(new)
ncwrite(nc, fout, Quiet=False)