Articles | Volume 14, issue 12
Geosci. Model Dev., 14, 7377–7389, 2021
https://doi.org/10.5194/gmd-14-7377-2021
Geosci. Model Dev., 14, 7377–7389, 2021
https://doi.org/10.5194/gmd-14-7377-2021

Model experiment description paper 01 Dec 2021

Model experiment description paper | 01 Dec 2021

Recalculation of error growth models' parameters for the ECMWF forecast system

Hynek Bednář et al.

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 Hynek Bednar on behalf of the Authors (12 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (02 Nov 2021) by Richard Neale
Download
Short summary
Forecast errors in numerical weather prediction systems grow in time. To quantify the impacts of this growth, parametric error growth models may be employed. This study recalculates and newly defines parameters for several statistic models approximating error growth in the ECMWF forecasting system. Accurate values of parameters are important because they are used to evaluate improvements of the forecasting systems or to estimate predictability.