Articles | Volume 9, issue 8
https://doi.org/10.5194/gmd-9-2623-2016
https://doi.org/10.5194/gmd-9-2623-2016
Development and technical paper
 | 
10 Aug 2016
Development and technical paper |  | 10 Aug 2016

Background error covariance with balance constraints for aerosol species and applications in variational data assimilation

Zengliang Zang, Zilong Hao, Yi Li, Xiaobin Pan, Wei You, Zhijin Li, and Dan Chen

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Short summary
The aerosol data assimilation and forecasts can be improved by adopting balance constraints that spread observation information across variables, thus producing balanced initial distributions. Surface and aircraft aerosol observations were assimilated to demonstrate the impact of the balance constraints. The results showed that the forecasting experiment with balance constraints is more skillful and durable than the experiment without balance constraints.