Articles | Volume 22, issue 2
Atmos. Chem. Phys., 22, 1395–1423, 2022
https://doi.org/10.5194/acp-22-1395-2022
Atmos. Chem. Phys., 22, 1395–1423, 2022
https://doi.org/10.5194/acp-22-1395-2022

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 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-2021-599', 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
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
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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.
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