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.

Data sets

Recalculation of error growth models’ parameters for the ECMWF forecast system Hynek Bednář https://doi.org/10.17605/OSF.IO/CEK32

Model code and software

Recalculation of error growth models’ parameters for the ECMWF forecast system Hynek Bednář https://doi.org/10.17605/OSF.IO/CEK32

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.