convolve

convolve(fs, weights, repeat=1, **kwargs)

New in metview-python version 1.13.0.

Performs spatial convolution with the given kernel for each field in fs.

Parameters

  • fs (Fieldset) – input fieldset

  • weights (2D ndarray) – specifies the kernel as a matrix (2D array)

  • repeat (number) – specifies how many times the smoothing should be applied to fs

  • **kwargs –

    these keyword arguments are directly passed to scipy.ndimage.convolve() (see below)

Return type

Fieldset

The computations are performed by calling scipy.ndimage.convolve() and the extra **kwargs are directly passed to this function.

Warning

convolve() has some limitations:

  • it only works for regular latitude-longitude grids

  • for global grids in longitudinal (East-West) direction the resulting field is not smoothed properly along the periodic border

Note

See also smooth_n_point() and smooth_gaussian().