climpred.smoothing.temporal_smoothing#

climpred.smoothing.temporal_smoothing(ds: Dataset, tsmooth_kws: Optional[Dict[str, int]] = None, how: str = 'mean', d_lon_lat_kws: Optional[Dict[str, float]] = None) → Dataset[source]#

Apply temporal smoothing by creating rolling smooth-timestep means.

Parameters:

  • ds – input to be smoothed.

  • tsmooth_kws – length of smoothing of timesteps. Defaults to {"time": 4} (see Goddard et al. [2013]).

  • how – aggregation type for smoothing. Allowed: ["mean", "sum"]. Default: "mean".

  • d_lon_lat_kws – leads nowhere but consistent with spatial_smoothing_xesmf.

Returns:

input with smooth timesteps less and labeling "1-(smooth-1)", "...", ... .

References

Goddard et al. [2013]