Articles | Volume 29, issue 2
https://doi.org/10.5194/npg-29-241-2022
https://doi.org/10.5194/npg-29-241-2022
Research article
 | 
22 Jun 2022
Research article |  | 22 Jun 2022

A stochastic covariance shrinkage approach to particle rejuvenation in the ensemble transform particle filter

Andrey A. Popov, Amit N. Subrahmanya, and Adrian Sandu

Viewed

Total article views: 2,044 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,750 268 26 2,044 20 17
  • HTML: 1,750
  • PDF: 268
  • XML: 26
  • Total: 2,044
  • BibTeX: 20
  • EndNote: 17
Views and downloads (calculated since 22 Sep 2021)
Cumulative views and downloads (calculated since 22 Sep 2021)

Viewed (geographical distribution)

Total article views: 2,044 (including HTML, PDF, and XML) Thereof 1,962 with geography defined and 82 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 28 Feb 2024
Download
Short summary
Numerical weather prediction requires the melding of both computational model and data obtained from sensors such as satellites. We focus on one algorithm to accomplish this. We aim to aid its use by additionally supplying it with data obtained from separate models that describe the average behavior of the computational model at any given time. We show that our approach outperforms the standard approaches to this problem.