Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 20
Articles | Volume 18, issue 20
https://doi.org/10.5194/gmd-18-7417-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-7417-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 20
Methods for assessment of models
 | 
20 Oct 2025
Methods for assessment of models |  | 20 Oct 2025

Smoothing and spatial verification of global fields

Gregor Skok and Katarina Kosovelj

Viewed

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 1,997 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,966 21 10 1,997 12 11
  • HTML: 1,966
  • PDF: 21
  • XML: 10
  • Total: 1,997
  • BibTeX: 12
  • EndNote: 11
Views and downloads (calculated since 26 May 2025)
Cumulative views and downloads (calculated since 26 May 2025)

Viewed (geographical distribution)

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 1,997 (including HTML, PDF, and XML) Thereof 1,995 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Oct 2025
Download
Short summary
Forecast verification is essential for improving weather prediction models but faces challenges with traditionally used metrics. New spatial verification metrics like the Fraction Skill Score (FSS) perform better but are difficult to use in a global domain due to large computational cost. We introduce two new global smoothing methodologies that can be used with smoothing-based metrics in a global domain. We demonstrate their effectiveness with an analysis of global precipitation forecasts.
Read more
Share