Articles | Volume 25, issue 2
https://doi.org/10.5194/npg-25-413-2018
https://doi.org/10.5194/npg-25-413-2018
Research article
 | 
19 Jun 2018
Research article |  | 19 Jun 2018

Evaluating a stochastic parametrization for a fast–slow system using the Wasserstein distance

Gabriele Vissio and Valerio Lucarini

Viewed

Total article views: 4,181 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,270 1,732 179 4,181 190 153
  • HTML: 2,270
  • PDF: 1,732
  • XML: 179
  • Total: 4,181
  • BibTeX: 190
  • EndNote: 153
Views and downloads (calculated since 09 Mar 2018)
Cumulative views and downloads (calculated since 09 Mar 2018)

Viewed (geographical distribution)

Total article views: 4,181 (including HTML, PDF, and XML) Thereof 3,788 with geography defined and 393 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 23 Nov 2024
Download
Short summary
Constructing good parametrizations is key when studying multi-scale systems. We consider a low-order model and derive a parametrization via a recently developed statistical mechanical approach. We show how the method allows for seamlessly treating the case when the unresolved dynamics is both faster and slower than the resolved one. We test the skill of the parametrization by using the formalism of the Wasserstein distance, which allows for measuring how different two probability measures are.