A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.
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from __future__ import (absolute_import, division, print_function,
unicode_literals)
from .constants import Constants
from .extension import _tk, _rh, _cloudfrac
from .metadecorators import set_cloudfrac_metadata
from .util import extract_vars
@set_cloudfrac_metadata()
def get_cloudfrac(wrfin, timeidx=0, method="cat", squeeze=True,
cache=None, meta=True, _key=None):
"""Return the cloud fraction.
The leftmost dimension of the returned array represents three different
quantities:
- return_val[0,...] will contain LOW level cloud fraction
- return_val[1,...] will contain MID level cloud fraction
- return_val[2,...] will contain HIGH level cloud fraction
This functions extracts the necessary variables from the NetCDF file
object in order to perform the calculation.
Args:
wrfin (:class:`netCDF4.Dataset`, :class:`Nio.NioFile`, or an \
iterable): WRF-ARW NetCDF
data as a :class:`netCDF4.Dataset`, :class:`Nio.NioFile`
or an iterable sequence of the aforementioned types.
timeidx (:obj:`int` or :data:`wrf.ALL_TIMES`, optional): The
desired time index. This value can be a positive integer,
negative integer, or
:data:`wrf.ALL_TIMES` (an alias for None) to return
all times in the file or sequence. The default is 0.
method (:obj:`str`, optional): The aggregation method to use for
sequences. Must be either 'cat' or 'join'.
'cat' combines the data along the Time dimension.
'join' creates a new dimension for the file index.
The default is 'cat'.
squeeze (:obj:`bool`, optional): Set to False to prevent dimensions
with a size of 1 from being automatically removed from the shape
of the output. Default is True.
cache (:obj:`dict`, optional): A dictionary of (varname, ndarray)
that can be used to supply pre-extracted NetCDF variables to the
computational routines. It is primarily used for internal
purposes, but can also be used to improve performance by
eliminating the need to repeatedly extract the same variables
used in multiple diagnostics calculations, particularly when using
large sequences of files.
Default is None.
meta (:obj:`bool`, optional): Set to False to disable metadata and
return :class:`numpy.ndarray` instead of
:class:`xarray.DataArray`. Default is True.
_key (:obj:`int`, optional): A caching key. This is used for internal
purposes only. Default is None.
Returns:
:class:`xarray.DataArray` or :class:`numpy.ndarray`: The
cloud fraction array whose leftmost dimension is 3 (LOW=0, MID=1,
HIGH=2).
If xarray is enabled and the *meta* parameter is True, then the result
will be a :class:`xarray.DataArray` object. Otherwise, the result will
be a :class:`numpy.ndarray` object with no metadata.
"""
ncvars = extract_vars(wrfin, timeidx, ("P", "PB", "QVAPOR", "T"),
method, squeeze, cache, meta=False,
_key=_key)
p = ncvars["P"]
pb = ncvars["PB"]
qv = ncvars["QVAPOR"]
t = ncvars["T"]
full_p = p + pb
full_t = t + Constants.T_BASE
tk = _tk(full_p, full_t)
rh = _rh(qv, full_p, tk)
return _cloudfrac(full_p, rh)