Articles | Volume 20, issue 6
Atmos. Chem. Phys., 20, 3725–3737, 2020
https://doi.org/10.5194/acp-20-3725-2020

Special issue: Data assimilation in carbon/biogeochemical cycles: consistent...

Atmos. Chem. Phys., 20, 3725–3737, 2020
https://doi.org/10.5194/acp-20-3725-2020
Research article
27 Mar 2020
Research article | 27 Mar 2020

Data assimilation using an ensemble of models: a hierarchical approach

Peter Rayner

Viewed

Total article views: 2,004 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,324 598 82 2,004 56 82
  • HTML: 1,324
  • PDF: 598
  • XML: 82
  • Total: 2,004
  • BibTeX: 56
  • EndNote: 82
Views and downloads (calculated since 03 Feb 2017)
Cumulative views and downloads (calculated since 03 Feb 2017)

Viewed (geographical distribution)

Total article views: 1,902 (including HTML, PDF, and XML) Thereof 1,891 with geography defined and 11 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 May 2022
Download
Short summary
This work extends previous calculations of carbon dioxide sources and sinks to take account of the varying quality of atmospheric models. It uses an extended version of Bayesian statistics which includes the model as one of the unknowns. I performed the work as an example of including the model in the description of the uncertainty.
Altmetrics
Final-revised paper
Preprint