Geoscientific Model Development
Geoscientific Model Development
Geoscientific Model Development
Articles | Volume 14, issue 12
Articles | Volume 14, issue 12
Geosci. Model Dev., 14, 7377–7389, 2021
https://doi.org/10.5194/gmd-14-7377-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 14, 7377–7389, 2021
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 et al.

Viewed

Total article views: 1,095 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
789 273 33 1,095 13 15
  • HTML: 789
  • PDF: 273
  • XML: 33
  • Total: 1,095
  • BibTeX: 13
  • EndNote: 15
Views and downloads (calculated since 16 Nov 2020)
Cumulative views and downloads (calculated since 16 Nov 2020)

Viewed (geographical distribution)

Total article views: 1,095 (including HTML, PDF, and XML) Thereof 943 with geography defined and 152 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Feb 2023
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.
Read more