Articles | Volume 24, issue 4
https://doi.org/10.5194/hess-24-1677-2020
https://doi.org/10.5194/hess-24-1677-2020
Research article
 | 
08 Apr 2020
Research article |  | 08 Apr 2020

On the assimilation of environmental tracer observations for model-based decision support

Matthew J. Knowling, Jeremy T. White, Catherine R. Moore, Pawel Rakowski, and Kevin Hayley

Viewed

Total article views: 3,539 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,672 803 64 3,539 349 63 61
  • HTML: 2,672
  • PDF: 803
  • XML: 64
  • Total: 3,539
  • Supplement: 349
  • BibTeX: 63
  • EndNote: 61
Views and downloads (calculated since 18 Sep 2019)
Cumulative views and downloads (calculated since 18 Sep 2019)

Viewed (geographical distribution)

Total article views: 3,539 (including HTML, PDF, and XML) Thereof 2,959 with geography defined and 580 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 Jun 2025
Download
Short summary
The incorporation of novel and diverse data sources into predictive models is expected to improve the reliability of model forecasts. This study critically and rigorously explores the extent to which this expectation holds given the imperfect nature of numerical models (and therefore their compromised ability to appropriately assimilate information-rich data). We show that environmental tracer observations may be of variable benefit in reducing forecast uncertainty and may induce forecast bias.
Share