“Seeing” Beneath the Clouds—Machine‐Learning‐Based Reconstruction of North African Dust Plumes
Abstract 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 obse...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-02-01
|
| Series: | AGU Advances |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2023AV001042 |