Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 11, issue 5
Articles | Volume 11, issue 5
https://doi.org/10.5194/gmd-11-1725-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-11-1725-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 11, issue 5
Development and technical paper
 | 
04 May 2018
Development and technical paper |  | 04 May 2018

Development of the WRF-CO2 4D-Var assimilation system v1.0

Tao Zheng, Nancy H. F. French, and Martin Baxter

Viewed

Total article views: 7,228 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
5,411 1,660 157 7,228 558 175 283
  • HTML: 5,411
  • PDF: 1,660
  • XML: 157
  • Total: 7,228
  • Supplement: 558
  • BibTeX: 175
  • EndNote: 283
Views and downloads (calculated since 12 Dec 2016)
Cumulative views and downloads (calculated since 12 Dec 2016)

Viewed (geographical distribution)

Total article views: 7,228 (including HTML, PDF, and XML) Thereof 6,900 with geography defined and 328 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 09 Mar 2026
Download
Short summary
We developed WRF-CO2 4D-Var, a carbon dioxide data assimilation system based on the online atmospheric chemistry–transport model WRF-Chem. The accuracy of the model for sensitivity calculation and inverse modeling is assessed with pseudo-observation data. In this system, carbon dioxide is treated as an atmospheric tracer and its influence on meteorology is ignored. This system provides a useful model tool for regional-scale carbon source attribution and uncertainty assessment.
Read more
Share