Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 9, issue 1
Articles | Volume 9, issue 1
https://doi.org/10.5194/gmd-9-393-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/gmd-9-393-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 9, issue 1
Model experiment description paper
 | 
29 Jan 2016
Model experiment description paper |  | 29 Jan 2016

A low-order coupled chemistry meteorology model for testing online and offline data assimilation schemes: L95-GRS (v1.0)

J.-M. Haussaire and M. Bocquet

Viewed

Total article views: 4,318 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,530 1,562 226 4,318 222 222
  • HTML: 2,530
  • PDF: 1,562
  • XML: 226
  • Total: 4,318
  • BibTeX: 222
  • EndNote: 222
Views and downloads (calculated since 28 Aug 2015)
Cumulative views and downloads (calculated since 28 Aug 2015)

Cited

Saved (preprint)

Latest update: 24 Apr 2025
Download
Short summary
The focus is on the development of low-order models of atmospheric transport and chemistry and their use for data assimilation purposes. A new low-order coupled chemistry meteorology model is developed. It consists of the Lorenz40-variable model used as a wind field coupled with a simple ozone photochemistry module. Advanced ensemble variational methods are applied to this model to obtain insights on the use of data assimilation with coupled models, in an offline mode or in an online mode.
Read more
Share
Special issue
Coupled chemistry–meteorology modelling: status and...