collocate un-structured xarray DataArray's (or Iris Cube's) in arbitrary physical dimensions.
For example, taking a dataset with mutli-dimensional latitude and longitude coordinates
>>> da
<xarray.DataArray (x: 5, y: 3)>
array([[ 0, 1, 2],
[ 3, 4, 5],
[ 6, 7, 8],
[ 9, 10, 11],
[12, 13, 14]])
Coordinates:
longitude (x, y) float64 -10.0 -10.0 -10.0 -5.0 -5.0 -5.0 0.0 0.0 0.0 ...
latitude (x, y) float64 -5.0 0.0 5.0 -5.0 0.0 5.0 -5.0 0.0 5.0 -5.0 ...
Dimensions without coordinates: x, y
And a set of arbitrary points
>> points
<xarray.DataArray (obs: 3)>
array([ 0., 0., 0.])
Coordinates:
latitude (obs) float64 0.5 5.4 12.0
longitude (obs) float64 -0.7 0.2 3.0
Dimensions without coordinates: obs
We can perform a collocation to find the mean value of the data with 500km of each sample point like so
>>> collocate(points, da, h_sep=500)
<xarray.Dataset>
Dimensions: (obs: 3)
Coordinates:
* obs (obs) int64 0 1 2
Data variables:
latitude (obs) float64 0.5 5.4 12.0
longitude (obs) float64 -0.7 0.2 3.0
var (obs) float64 5.5 8.0 nan
Note this is still a prototype and the API is likely to change!
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