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: 5.668 IF 5.668
  • IF 5-year value: 6.201 IF 5-year
    6.201
  • CiteScore value: 6.13 CiteScore
    6.13
  • SNIP value: 1.633 SNIP 1.633
  • IPP value: 5.91 IPP 5.91
  • SJR value: 2.938 SJR 2.938
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 174 Scimago H
    index 174
  • h5-index value: 87 h5-index 87
ACP | Articles | Volume 19, issue 11
Atmos. Chem. Phys., 19, 7347–7376, 2019
https://doi.org/10.5194/acp-19-7347-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 19, 7347–7376, 2019
https://doi.org/10.5194/acp-19-7347-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 04 Jun 2019

Research article | 04 Jun 2019

Modelling CO2 weather – why horizontal resolution matters

Anna Agustí-Panareda et al.

Viewed

Total article views: 1,373 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
916 444 13 1,373 85 15 19
  • HTML: 916
  • PDF: 444
  • XML: 13
  • Total: 1,373
  • Supplement: 85
  • BibTeX: 15
  • EndNote: 19
Views and downloads (calculated since 27 Feb 2019)
Cumulative views and downloads (calculated since 27 Feb 2019)

Viewed (geographical distribution)

Total article views: 1,118 (including HTML, PDF, and XML) Thereof 1,108 with geography defined and 10 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

No saved metrics found.

Saved (discussion paper)

No saved metrics found.

Discussed (final revised paper)

No discussed metrics found.

Discussed (discussion paper)

No discussed metrics found.
Latest update: 27 Feb 2020
Publications Copernicus
Download
Short summary
This paper demonstrates the benefits of using global models with high horizontal resolution to represent atmospheric CO2 patterns associated with evolving weather. The modelling of CO2 weather is crucial to interpret the variability from ground-based and satellite CO2 observations, which can then be used to infer CO2 fluxes in atmospheric inversions. The benefits of high resolution come from an improved representation of the topography, winds, tracer transport and CO2 flux distribution.
This paper demonstrates the benefits of using global models with high horizontal resolution to...
Citation