🐛 Bug Report
When using iris.util.equalise_attributes(cubes)
before merging a CubeList, I noticed different behaviour based on whether I used iris.load()
or iris.load_raw()
to generate the CubeList.
load_raw()
seems to lead to a successful equalisation of the attributes in the CubeList and a successful merge.
load()
seems to successfully equalisation of the attributes in the CubeList but the merge results in the same as the input CubeList i.e. no merge, despite the input CubeList containing compatible cubes.
How To Reproduce
Successful merge
cubes = iris.load_raw(fnames)
iris.util.equalise_attributes(cubes)
cubes.merge()
Unsuccessful merge
cubes = iris.load_raw(fnames)
iris.util.equalise_attributes(cubes)
cubes.merge()
Data to recreate this issue can be found at:
https://metdatasa.blob.core.windows.net/covid19-response/index.html#metoffice_ukv_daily--rain_mean
Specifically:
- ukv_daily_rain_mean_20210327.nc
- ukv_daily_rain_mean_20210329.nc
- ukv_daily_rain_mean_20210330.nc
Expected behaviour
That both cases of the example code return exactly the same merged CubeList.
Screenshots

Environment
- OS & Version: REHL7.9
- Iris Version: 3.0.1