One of the characteristics of the Inverse Distance to a Power gridding method is the generation of "bull's-eye" patterns surrounding the position of observations within the gridded area. You can assign a smoothing parameter when using the Inverse Distance to a Power gridding method to reduce the "bull's-eye" effect by smoothing the interpolated grid.
The Smoothing factor parameter allows you to incorporate an "uncertainty" factor associated with your input data. The larger the smoothing factor parameter, the less overwhelming influence any particular observation has in computing a neighboring grid node.
Updated October 30, 2018