Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 19, issue 22
Articles | Volume 19, issue 22
https://doi.org/10.5194/acp-19-13911-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-19-13911-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 22
Review article
 | 
19 Nov 2019
Review article |  | 19 Nov 2019

Fundamentals of data assimilation applied to biogeochemistry

Peter J. Rayner, Anna M. Michalak, and Frédéric Chevallier

Viewed

Total article views: 5,990 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,723 1,172 95 5,990 163 134
  • HTML: 4,723
  • PDF: 1,172
  • XML: 95
  • Total: 5,990
  • BibTeX: 163
  • EndNote: 134
Views and downloads (calculated since 30 Oct 2018)
Cumulative views and downloads (calculated since 30 Oct 2018)

Viewed (geographical distribution)

Total article views: 5,990 (including HTML, PDF, and XML) Thereof 5,990 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Nov 2025
Download
Short summary
This paper describes the methods for combining models and data to understand how nutrients and pollutants move through natural systems. The methods are analogous to the process of weather forecasting in which previous information is combined with new observations and a model to improve our knowledge of the internal state of the physical system. The methods appear highly diverse but the paper shows that they are all examples of a single underlying formalism.
Read more
Share
Special issue
Data assimilation in carbon/biogeochemical cycles: consistent...
Altmetrics
Final-revised paper
Preprint