metpy.calc.smooth_circular(scalar_grid, radius, passes=1)[source]#

Filter with a circular window smoother.

  • scalar_grid (array-like) – N-dimensional scalar grid to be smoothed. If more than two axes, smoothing is only done along the last two.

  • radius (int) – Radius of the circular smoothing window. The “diameter” of the circle (width of smoothing window) is 2 * radius + 1 to provide a smoothing window with odd shape.

  • passes (int) – The number of times to apply the filter to the grid. Defaults to 1.


array-like – The filtered scalar grid


This function can be applied multiple times to create a more smoothed field and will only smooth the interior points, leaving the end points with their original values (this function will leave an unsmoothed edge of size radius around the data). If a masked value or NaN values exists in the array, it will propagate to any point that uses that particular grid point in the smoothing calculation. Applying the smoothing function multiple times will propagate NaNs further throughout the domain.

Examples using metpy.calc.smooth_circular#