Articles | Volume 22, issue 2
https://doi.org/10.5194/acp-22-1395-2022
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, 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

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Cited articles

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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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