Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 12
Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7377-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-7377-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 12
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, Aleš Raidl, and Jiří Mikšovský

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Latest update: 13 Dec 2024
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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.
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