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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: development and technical paper 03 Feb 2020

Submitted as: development and technical paper | 03 Feb 2020

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A revised version of this preprint is currently under review for the journal GMD.

Development of 3D Variational Assimilation System Based on GRAPES-CUACE Adjoint Model (GRAPES-CUACE-3D-Var V1.0) and Its Application in Emission Inversion

Chao Wang1,2, Xingqin An1, Qing Hou1, Zhaobin Sun3, Yanjun Li1, and Jiangtao Li1 Chao Wang et al.
  • 1Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, Beijing 100081, China
  • 2Department of Atmospheric and Oceanic Sciences, Fudan University, Shanghai 200438, China
  • 3Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China

Abstract. The adjoint method is known for its efficient calculation of sensitive information. After decades of development, assimilation technology based on adjoint method has gradually become an important tool for emission inversion. On the basis of GRAPES-CUACE aerosol adjoint model, and combined with the optimization algorithm and pollutants observations, the GRAPES-CUACE 3D variational (GRAPES-CUACE-3D-Var) assimilation system was further developed, and was used in the inversion of BC emissions in Beijing-Tianjin-Hebei region. The results show that the newly constructed GRAPES-CUACE-3D-Var assimilation system is reasonable and reliable, and can be applied to the emission inversion in Beijing-Tianjin-Hebei region. Compared to the simulations using the a priori BC emissions, the model simulations driven by the a posterior BC emissions in two inversion schemes are in better agreement with measurements. The correlation coefficient between the simulations and the observations is increased from 0.2 before the inversion to 0.7 and 0.64, respectively, and the NMSE is reduced from 0.38 to 0.22 and 0.24, respectively, and the NMB is decreased from 51.53 % to 43.37 % and 40.90 %, respectively, in the two inversion schemes. The spatial distributions of the a posterior BC emissions in the two inversion schemes are consistent with the distributions of the a priori BC emissions. The high-value areas are mainly located in the south of Beijing, Tianjin, central and southern Hebei, and northern Shandong. On the whole, the inversion scheme with a large observation ratio has better optimization effect. The observation information of the target time has a great influence on the a posterior BC emissions in a short period before the target time, and the influence decreases with the reverse time sequence.

Chao Wang et al.

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Chao Wang et al.


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