The role of model bias in the multi-model ensemble approach

The multi-model approach is widely used and recognized as an effective way

in improving an ensemble prediction system. However, little is known why multi-model

approach works the way as it does. In this study, the impact of model bias on

ensemble mean, spread and probabilistic forecasts was investigated based on

a multi-model mesoscale ensemble prediction system.