20th Conference on Probability and Statistics in the Atmospheric Sciences


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

Jun Du, NOAA/NWS/NCEP, Camp Springs, MD; and J. Li

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.

Poster Session , 20th Conference on Probability and Statistics Poster Session
Wednesday, 20 January 2010, 2:30 PM-4:00 PM, Exhibit Hall B2

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