climpred.smoothing.spatial_smoothing_xesmf#

climpred.smoothing.spatial_smoothing_xesmf(ds: xarray.Dataset, d_lon_lat_kws: Dict[str, float] = {'lat': 5, 'lon': 5}, method: str = 'bilinear', periodic: bool = False, filename: Union[None, str] = None, reuse_weights: bool = False, tsmooth_kws: Optional[Dict[str, int]] = None, how: Union[None, str] = None) → xarray.Dataset[source]#

Quick regridding function.

Parameters

ds – Contain input and output grid coordinates. Look for coordinates lon, lat, and optionally lon_b, lat_b for conservative method. Also any coordinate which is C/F compliant, .i.e. standard_name in [“longitude”, “latitude”] is allowed. Shape can be 1D (Nlon,) and (Nlat,) for rectilinear grids, or 2D (Ny, Nx) for general curvilinear grids. Shape of bounds should be (N+1,) or (Ny+1, Nx+1).
d_lon_lat_kws – Longitude/Latitude step size (grid resolution); if not provided, lon will equal 5 and lat will equal lon
method – Regridding method. Options are:
- “bilinear”
- “conservative”, requires grid corner information
- “patch”
- “nearest_s2d”
- “nearest_d2s”
periodic – Periodic in longitude? Defaults to False. Only useful for global grids with non-conservative regridding. Will be forced to False for conservative regridding.
filename – Name for the weight file. The default naming scheme is “{method}_{Ny_in}x{Nx_in}_{Ny_out}x{Nx_out}.nc” e.g. “bilinear_400x600_300x400.nc”
reuse_weights – Whether to read existing weight file to save computing time. Defaults to False.
tsmooth_kws – leads nowhere but consistent with temporal_smoothing.
how – leads nowhere but consistent with temporal_smoothing.

Returns

regridded

climpred documentation