Articles | Volume 8, issue 5
https://doi.org/10.5194/gmd-8-1315-2015
https://doi.org/10.5194/gmd-8-1315-2015
Development and technical paper
 | 
05 May 2015
Development and technical paper |  | 05 May 2015

Structure of forecast error covariance in coupled atmosphere–chemistry data assimilation

S. K. Park, S. Lim, and M. Zupanski

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Short summary
The structure of an ensemble-based coupled atmosphere-chemistry forecast error covariance is examined using the WRF-Chem, a coupled atmosphere-chemistry model. It is found that the coupled error covariance has important cross-variable components that allow a physically meaningful adjustment of all control variables. Additional benefit of the coupled error covariance is that a cross-component impact is allowed; e.g., atmospheric observations can exert impact on chemistry analysis, and vice versa.