Articles | Volume 22, issue 2
Research article
27 Jan 2022
Research article |  | 27 Jan 2022

Inferring iron-oxide species content in atmospheric mineral dust from DSCOVR EPIC observations

Sujung Go, Alexei Lyapustin, Gregory L. Schuster, Myungje Choi, Paul Ginoux, Mian Chin, Olga Kalashnikova, Oleg Dubovik, Jhoon Kim, Arlindo da Silva, Brent Holben, and Jeffrey S. Reid


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-599', Anonymous Referee #1, 16 Sep 2021
    • AC1: 'Reply on RC1', Sujung Go, 19 Nov 2021
  • RC2: 'Comment on acp-2021-599', Anonymous Referee #2, 22 Sep 2021
    • AC2: 'Reply on RC2', Sujung Go, 19 Nov 2021
  • RC3: 'Comment on acp-2021-599', Anonymous Referee #3, 28 Sep 2021
    • AC3: 'Reply on RC3', Sujung Go, 19 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Sujung Go on behalf of the Authors (19 Nov 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (03 Dec 2021) by Yves Balkanski
AR by Sujung Go on behalf of the Authors (07 Dec 2021)  Author's response   Manuscript 
Short summary
This paper presents a retrieval algorithm of iron-oxide species (hematite, goethite) content in the atmosphere from DSCOVR EPIC observations. Our results display variations within the published range of hematite and goethite over the main dust-source regions but show significant seasonal and spatial variability. This implies a single-viewing satellite instrument with UV–visible channels may provide essential information on shortwave dust direct radiative effects for climate modeling.
Final-revised paper