xoa.filter.erode_mask

xoa.filter.erode_mask(data, until=1, kernel=None)

Erode the horizontal mask using smoothing

Missing values are filled with the smoothed field in a iterative way. Two cases:

• Erode a fixed number of times.

• Erode the data mask until there is no missing value where a given horirizontal mask is False.

Parameters:

• data (xarray.DataArray) – Array of at least 2 dimensions, that are supposed to be horizontal.

• until (xarray.DataArray, int) – Either a minimal mask, or a max number of iteration.

• kernel (None, "shapiro", xarray.DataArray) – Defaults to a shapiro kernel designed with all data dimensions. If kernel is provided, it must a compatible with generate_kernel().

Returns:

xarray.DataArray – Data array similar to input array, with its eroded along x and y dimensions.

See also

erode_coast, sharpiro_kernel