Articles | Volume 18, issue 23
Atmos. Chem. Phys., 18, 17387–17404, 2018
https://doi.org/10.5194/acp-18-17387-2018

Special issue: Regional transport and transformation of air pollution in...

Atmos. Chem. Phys., 18, 17387–17404, 2018
https://doi.org/10.5194/acp-18-17387-2018

Research article 07 Dec 2018

Research article | 07 Dec 2018

The impact of multi-species surface chemical observation assimilation on air quality forecasts in China

Zhen Peng et al.

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Cited articles

Barbu, A. L., Segers, A. J., Schaap, M., Heemink, A. W., and Builtjes, P. J. H.: A multi-component data assimilation experiment directed to sulphur dioxide and sulphate over Europe, Atmos. Environ., 43, 1622–1631, 2009. 
Carmichael, G. R., Daescu, D. N., Sandu, A., and Chai, T.: Computational aspects of chemical data assimilation into atmospheric models, in: Science Computational ICCS 2003, Lecture Notes in Computer Science, Springer, Berlin, IV, 269–278, 2003. 
Carmichael, G. R., Sandu, A., Chai, T., Daescu, D. N., Constantinescu, E. M., and Tang, Y.: Predicting air quality: improvements through advanced methods to integrate models and measurements, J. Comput. Phys., 227, 3540–3571, 2008a. 
Chen, D., Liu, Z., Fast, J., and Ban, J.: Simulations of sulfate-nitrate-ammonium (SNA) aerosols during the extreme haze events over northern China in October 2014, Atmos. Chem. Phys., 16, 10707–10724, https://doi.org/10.5194/acp-16-10707-2016, 2016. 
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Short summary
An EnKF system was developed to simultaneously assimilate multiple surface measurements, including PM10, PM2.5, SO2, NO2, O3, and CO, via the joint adjustment of ICs and source emissions. Large improvements were achieved in the first 24 h forecast for PM2.5, PM10, SO2, and CO during an extreme haze episode that occurred in early October 2014 over the North China Plain, but no improvements were achieved for NO2 and O3.
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