"Model ensembles" refers to a group of different models or predictions working together. It helps to improve accuracy by combining multiple perspectives or opinions for a more reliable outcome. Full definition
In Fig. 6, the values of circle indicate the average of error of model ensemble members. (link.springer.com)
This is based on a sea ice - ocean model ensemble run. (arcus.org)
There's a heap of evidence that single model ensembles simply don't generate as diverse a range of behaviour as structurally different models can do. (julesandjames.blogspot.ru)