Articles | Volume 17, issue 11
Atmos. Chem. Phys., 17, 7067–7081, 2017
https://doi.org/10.5194/acp-17-7067-2017
Atmos. Chem. Phys., 17, 7067–7081, 2017
https://doi.org/10.5194/acp-17-7067-2017
Research article
15 Jun 2017
Research article | 15 Jun 2017

Assimilation of satellite NO2 observations at high spatial resolution using OSSEs

Xueling Liu et al.

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Cited articles

Aksoy, A., Zhang, F. and Nielsen-Gammon, J. W.: Ensemble-Based Simultaneous State and Parameter Estimation in a Two-Dimensional Sea-Breeze Model, Mon. Weather Rev., 134, 2951–2970, https://doi.org/10.1175/MWR3224.1, 2006.
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Arellano Jr., A. F., Raeder, K., Anderson, J. L., Hess, P. G., Emmons, L. K., Edwards, D. P., Pfister, G. G., Campos, T. L., and Sachse, G. W.: Evaluating model performance of an ensemble-based chemical data assimilation system during INTEX-B field mission, Atmos. Chem. Phys., 7, 5695–5710, https://doi.org/10.5194/acp-7-5695-2007, 2007.
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Short summary
We describe a chemical ensemble data assimilation system with high spatial and temporal resolution that simultaneously adjusts meteorological and chemical variables and NOx emissions. We investigate the sensitivity of emission inversions to the accuracy and uncertainty of the wind analyses and the emission update scheme. The results provide insight into optimal uses of the observations from future geostationary satellite missions that will observe atmospheric composition.
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