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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Lauriane Batté on behalf of the Authors (02 May 2016)  Author's response    Manuscript
ED: Publish as is (09 May 2016) by Paul Ullrich
Download
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.