Articles | Volume 15, issue 4
Geosci. Model Dev., 15, 1821–1840, 2022
https://doi.org/10.5194/gmd-15-1821-2022
Geosci. Model Dev., 15, 1821–1840, 2022
https://doi.org/10.5194/gmd-15-1821-2022

Development and technical paper 03 Mar 2022

Development and technical paper | 03 Mar 2022

A three-dimensional variational data assimilation system for aerosol optical properties based on WRF-Chem v4.0: design, development, and application of assimilating Himawari-8 aerosol observations

Daichun Wang 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
  • CEC1: 'Comment on gmd-2021-215', Astrid Kerkweg, 04 Oct 2021
    • AC1: 'Reply on CEC1', Wei You, 04 Oct 2021
  • RC1: 'Comment on gmd-2021-215', Anonymous Referee #1, 26 Oct 2021
  • RC2: 'Comment on gmd-2021-215', Anonymous Referee #2, 27 Oct 2021
  • RC3: 'Comment on gmd-2021-215', Anonymous Referee #3, 27 Oct 2021
  • RC4: 'Comment on gmd-2021-215', Anonymous Referee #4, 02 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Wei You on behalf of the Authors (25 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (16 Dec 2021) by Po-Lun Ma
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Short summary
This paper presents a 3D variational data assimilation system for aerosol optical properties, including aerosol optical thickness (AOT) retrievals and lidar-based aerosol profiles, which was developed for a size-resolved sectional model in WRF-Chem. To directly assimilate aerosol optical properties, an observation operator based on the Mie scattering theory was designed. The results show that Himawari-8 AOT assimilation can significantly improve model aerosol analyses and forecasts.