One of the datasets has a very large unmasked value (5.813931e+36), which causes issues with the multimodel statistics.
# Loading #15: esmvaltool_sample_data/data/timeseries/CMIP6/CMIP/E3SM-Project/E3SM-1-1/historical/r1i1p1f1/Amon/ta/gr/v20191211
# cube.shape=(780, 2, 2, 2) cube.data.min()=235.27495 cube.data.max()=5.813931e+36
# cube.coord("time").units.calendar='365_day'
One of the datasets has a very large unmasked value (
5.813931e+36), which causes issues with the multimodel statistics.