wrf.smooth2d

wrf.smooth2d(field, passes, cenweight=2.0, meta=True)

Return the field smoothed.

The smoothing kernel applied is:

\[\begin{split}\frac{1}{4 + cenweight} * \begin{bmatrix} 0 & 1 & 0 \\ 1 & cenweight & 1 \\ 0 & 1 & 0 \end{bmatrix}\end{split}\]

Data values along the borders are left unchanged. This routine does not modify the original data supplied by the field parameter..

If you need more general purpose multidimensional filtering tools, try the scipy.ndimage.convolve() method.

Parameters:

• field (xarray.DataArray or numpy.ndarray) – The field to smooth, which must be at least two dimensions. Missing/fill values will be ignored as long as the type is either a numpy.ma.MaskedArray or a xarray.DataArray with a _FillValue attribute.

• passes (int) – The number of smoothing passes.

• cenweight (float, optional) – The weight to apply to the center of the smoothing kernel. Default is 2.0.

• meta (bool) – Set to False to disable metadata and return numpy.ndarray instead of xarray.DataArray. Default is True.

Returns:

The smoothed field. If xarray is enabled and the meta parameter is True, then the result will be an xarray.DataArray object. Otherwise, the result will be either a numpy.ndarray or a numpy.ma.MaskedArray depending on the type for field.

Return type:

xarray.DataArray, numpy.ma.MaskedArray or numpy.ndarray)

See also

scipy.ndimage.convolve()