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|Title:||Multi-Model Ensembles: Metrics, Indexes, Data Assimilation and All that Jazz|
|Authors:||GALMARINI Stefano; POTEMPSKI Slawomir|
|Type:||Articles in periodicals and books|
|Abstract:||We investigate the possibility of using different metrics for the evaluation of multi-model ensembles, in the attempt to find the optimal representation of the en-semble spread and bias. We present basic properties of different metrics and we discuss the consequences of applying them in atmospheric dispersion multi-model ensemble systems. We show also how we can obtain relevant information equiva-lent to different statistical treatments of an ensemble by combining the application of various metrics for calculating the ensemble spread and bias. A digression is presented on the use of the optimal combination of model results within an en-semble Kalman filter application for data assimilation.|
|JRC Directorate:||Sustainable Resources|
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