Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 12, issue 7
Articles | Volume 12, issue 7
https://doi.org/10.5194/gmd-12-3099-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-3099-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 7
Model evaluation paper
 | 
19 Jul 2019
Model evaluation paper |  | 19 Jul 2019

Progress towards a probabilistic Earth system model: examining the impact of stochasticity in the atmosphere and land component of EC-Earth v3.2

Kristian Strommen, Hannah M. Christensen, Dave MacLeod, Stephan Juricke, and Tim N. Palmer

Viewed

Total article views: 2,990 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,843 1,081 66 2,990 80 68
  • HTML: 1,843
  • PDF: 1,081
  • XML: 66
  • Total: 2,990
  • BibTeX: 80
  • EndNote: 68
Views and downloads (calculated since 06 Feb 2019)
Cumulative views and downloads (calculated since 06 Feb 2019)

Viewed (geographical distribution)

Total article views: 2,990 (including HTML, PDF, and XML) Thereof 2,661 with geography defined and 329 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
Due to computational limitations, climate models cannot fully resolve the laws of physics below a certain scale – a large source of errors and uncertainty. Stochastic schemes aim to account for this by randomly sampling the possible unresolved states. We develop new stochastic schemes for the EC-Earth climate model and evaluate their impact on model performance. While several benefits are found, the impact is sometimes too strong, suggesting such schemes must be carefully calibrated before use.
Read more