“Seeing” Beneath the Clouds—Machine‐Learning‐Based Reconstruction of North African Dust Plumes
“Seeing” Beneath the Clouds—Machine‐Learning‐Based Reconstruction of North African Dust Plumes
About this item
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Publisher
Hoboken: John Wiley & Sons, Inc
Journal title
Language
English
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Publisher
Hoboken: John Wiley & Sons, Inc
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Scope and Contents
Contents
Mineral dust is one of the most abundant atmospheric aerosol species and has various far‐reaching effects on the climate system and adverse impacts on air quality. Satellite observations can provide spatio‐temporal information on dust emission and transport pathways. However, satellite observations of dust plumes are frequently obscured by clouds....
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Full title
“Seeing” Beneath the Clouds—Machine‐Learning‐Based Reconstruction of North African Dust Plumes
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TN_cdi_doaj_primary_oai_doaj_org_article_161d1f88ca0b4fe88f1b478cdf5743c8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_161d1f88ca0b4fe88f1b478cdf5743c8
Other Identifiers
ISSN
2576-604X
E-ISSN
2576-604X
DOI
10.1029/2023AV001042
