-
Notifications
You must be signed in to change notification settings - Fork 300
Closed
Description
According to the docs iris support CF.15, but it would be nice if iris could preserve the original metadata.
I have a bunch of CF-1.6 files that, after processing them with iris, are downgraded to CF-1.5.
Here is an example:
>>> import iris
>>> cube = iris.cube.Cube([1, 2, 3])
>>> units = iris.unit.Unit('m')
>>> metadata = dict(featureType='timeSeries', Conventions='CF-1.6')
>>> cube.attributes = metadata
>>> print(cube)
unknown / (unknown) (-- : 3)
Attributes:
Conventions: CF-1.6
featureType: timeSeries>>> iris.FUTURE.netcdf_no_unlimited=True
>>> iris.save(cube, 'tmp.nc')
>>> cube = iris.load_cube('tmp.nc')
>>> print(cube)
unknown / (1) (-- : 3)
Attributes:
Conventions: CF-1.5
featureType: timeSeriesMetadata
Metadata
Assignees
Labels
No labels