Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.414 IF 5.414
  • IF 5-year value: 5.958 IF 5-year
    5.958
  • CiteScore value: 9.7 CiteScore
    9.7
  • SNIP value: 1.517 SNIP 1.517
  • IPP value: 5.61 IPP 5.61
  • SJR value: 2.601 SJR 2.601
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 191 Scimago H
    index 191
  • h5-index value: 89 h5-index 89
ACP | Articles | Volume 19, issue 22
Atmos. Chem. Phys., 19, 13911–13932, 2019
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: Data assimilation in carbon/biogeochemical cycles: consistent...

Atmos. Chem. Phys., 19, 13911–13932, 2019
https://doi.org/10.5194/acp-19-13911-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Review article 19 Nov 2019

Review article | 19 Nov 2019

Fundamentals of data assimilation applied to biogeochemistry

Peter J. Rayner et al.

Viewed

Total article views: 1,410 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,009 380 21 1,410 33 27
  • HTML: 1,009
  • PDF: 380
  • XML: 21
  • Total: 1,410
  • BibTeX: 33
  • EndNote: 27
Views and downloads (calculated since 30 Oct 2018)
Cumulative views and downloads (calculated since 30 Oct 2018)

Viewed (geographical distribution)

Total article views: 1,409 (including HTML, PDF, and XML) Thereof 1,405 with geography defined and 4 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

No saved metrics found.

Saved (preprint)

No saved metrics found.

Discussed (final revised paper)

No discussed metrics found.

Discussed (preprint)

No discussed metrics found.
Latest update: 08 Aug 2020
Publications Copernicus
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.
This paper describes the methods for combining models and data to understand how nutrients and...
Citation
Final-revised paper
Preprint