Articles | Volume 9, issue 6
Geosci. Model Dev., 9, 2055–2076, 2016
https://doi.org/10.5194/gmd-9-2055-2016
Geosci. Model Dev., 9, 2055–2076, 2016
https://doi.org/10.5194/gmd-9-2055-2016

Model evaluation paper 07 Jun 2016

Model evaluation paper | 07 Jun 2016

Randomly correcting model errors in the ARPEGE-Climate v6.1 component of CNRM-CM: applications for seasonal forecasts

Lauriane Batté and Michel Déqué

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Short summary
Taking into account model inadequacies is a key challenge in climate forecasting. As part of the FP7-SPECS project, we examine how stochastic perturbations of atmospheric model dynamics impact seasonal forecast quality of the CNRM coupled model. The method described in this paper helps derive model error statistics as well as improve key aspects of our forecasting system such as systematic errors over the North Atlantic mid-latitudes.