Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 29, issue 1
Articles | Volume 29, issue 1
https://doi.org/10.5194/npg-29-37-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-29-37-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 29, issue 1
Research article
 | 
16 Feb 2022
Research article |  | 16 Feb 2022

Direct Bayesian model reduction of smaller scale convective activity conditioned on large-scale dynamics

Robert Polzin, Annette Müller, Henning Rust, Peter Névir, and Péter Koltai

Viewed

Total article views: 2,466 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,948 462 56 2,466 42 41
  • HTML: 1,948
  • PDF: 462
  • XML: 56
  • Total: 2,466
  • BibTeX: 42
  • EndNote: 41
Views and downloads (calculated since 11 Aug 2021)
Cumulative views and downloads (calculated since 11 Aug 2021)

Viewed (geographical distribution)

Total article views: 2,466 (including HTML, PDF, and XML) Thereof 2,315 with geography defined and 151 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
In this study, a recent algorithmic framework called Direct Bayesian Model Reduction (DBMR) is applied which provides a scalable probability-preserving identification of reduced models directly from data. The stochastic method is tested in a meteorological application towards a model reduction to latent states of smaller scale convective activity conditioned on large-scale atmospheric flow.
Read more