Articles | Volume 21, issue 18
Atmos. Chem. Phys., 21, 13747–13761, 2021
https://doi.org/10.5194/acp-21-13747-2021
Atmos. Chem. Phys., 21, 13747–13761, 2021
https://doi.org/10.5194/acp-21-13747-2021
Research article
16 Sep 2021
Research article | 16 Sep 2021

A new inverse modeling approach for emission sources based on the DDM-3D and 3DVAR techniques: an application to air quality forecasts in the Beijing–Tianjin–Hebei region

Xinghong Cheng et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-474', Anonymous Referee #1, 28 Jun 2021
  • RC2: 'Comment on acp-2021-474', Anonymous Referee #2, 07 Jul 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by X.H. Cheng on behalf of the Authors (03 Aug 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (05 Aug 2021) by Qiang Zhang
RR by Anonymous Referee #1 (06 Aug 2021)
ED: Publish as is (16 Aug 2021) by Qiang Zhang
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Short summary
We develop a new inversion method of emission sources based on sensitivity analysis and the three-dimension variational technique. The novel explicit observation operator matrix between emission sources and the receptor’s concentrations is established. Then this method is applied to a typical heavy haze episode in North China, and spatiotemporal variations of SO2, NO2, and O3 concentrations simulated using a posterior emission sources are compared with results using an a priori inventory.
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