xoa.regrid.regrid1d

xoa.regrid.regrid1d(da, coord, method=None, dim=None, coord_in_name=None, edges=None, conserv=False, extrap='no', bias=0.0, tension=0.0, dask='parallelized')[source]

Regrid along a single dimension

The input and output coordinates may vary along other dimensions, which useful for instance for vertical interpolation in coastal ocean models. Since it uses func:xarray.apply_ufunc, it support dask features. The core computation is performed by the numba-accelerated routines of xoa.interp.

Parameters:

da (xarray.DataArray) – Array to interpolate
coord (xarray.DataArray) – Output coordinate
method (str, int) – Regridding method as one of the following: 1|"linear"|"interp", 0|"nearest", 2|"cubic", 3|"hermit"|"hermitian", -1|"cellave", -2|"cellerr"
dim (str, tuple(str), None) – Dimension on which to operate. If a string, it is expected to be the same dimension for both input and output coordinates. Else, provide a two-element tuple: (dim_in, dim_out). It is inferred by default from output coordinate et input data array.
coord_in_name (str, None) – Name of the input coordinate array, which must be known of da. It is inferred from the input dara array and dimension name by default.
edges (dict, None) – Grid edge coordinates along the interpolation dimension, for the conservative regridding. When not provided, edges are computed with xoa.grid.get_edges(). Keys are “in” and/or “out” and values are arrays with the same shape as coordinates except along the interpolation dimension on which 1 is added.
conserv (bool) – Use conservative regridding when using cellave method.
extrap (str, int) – Extrapolation mode as one of the following: 0|"no"|"none"|"false", 1|"top"|"above"|"after", -1|"bottom"|"below", 2|"both"|"all"|"yes"|"true"
dask (str) – See xarray.apply_ufunc().

Returns:

xarray.DataArray – Regridded array with coord as new coordinate array.