Articles | Volume 21, issue 24
Research article
17 Dec 2021
Research article |  | 17 Dec 2021

The spatiotemporal relationship between PM2.5 and aerosol optical depth in China: influencing factors and implications for satellite PM2.5 estimations using MAIAC aerosol optical depth

Qingqing He, Mengya Wang, and Steve Hung Lam Yim


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-143', Anonymous Referee #1, 07 Apr 2021
    • AC1: 'Reply on RC1', Steve Hung Lam Yim, 31 May 2021
  • RC2: 'Comment on acp-2021-143', Anonymous Referee #2, 08 May 2021
    • AC2: 'Reply on RC2', Steve Hung Lam Yim, 31 May 2021
  • RC3: 'Comment on acp-2021-143', Anonymous Referee #3, 10 May 2021
    • AC3: 'Reply on RC3', Steve Hung Lam Yim, 31 May 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Steve Hung Lam Yim on behalf of the Authors (31 May 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (23 Jul 2021) by Evangelos Gerasopoulos
Short summary
We explore the spatiotemporal relationship between PM2.5 and AOD over China using a multi-scale analysis with MODIS MAIAC 1 km aerosol observations and ground measurements. The impact factors (vertical distribution, relative humidity and terrain) on the relationship are quantitatively studied. Our results provide significant information on PM2.5 and AOD, which is informative for mapping high-resolution PM2.5 and furthering the understanding of aerosol properties and the PM2.5 pollution status.
Final-revised paper