Quickstart

xarray-regrid allows you to regrid xarray Datasets or DataArrays to a new resolution. You can install xarray-regrid with pip:

pip install xarray-regrid

To use the package, import xarray_regrid. This will register the .regrid ‘accessor’ so it can be used. Next load in the data you want to regrid, and the data with a grid you want to regrid to:

import xarray_regrid
import xarray

ds = xr.open_dataset("input_data.nc")
ds_grid = xr.open_dataset("target_grid.nc")

ds = ds.regrid.linear(ds_grid)

# or, for example:
ds = ds.regrid.conservative(ds_grid, latitude_coord="lat")

Multiple regridding methods are available:

• linear interpolation (.regrid.linear)

• nearest-neighbor (.regrid.nearest)

• cubic interpolation (.regrid.cubic)

• conservative regridding (.regrid.conservative)

• zonal statistics (.regrid.stat) is available to compute statistics such as the maximum value, or variance.

Additionally, there are separate methods available to compute the most common value (.regrid.most_common) and least common value (.regrid.least_common). This can be used to upscale very fine categorical data to a more course resolution.