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Assessment of COVID-19 effects on satellite-observed aerosol loading over China with machine learning
Aerosols are a critical component of the climate system and a risk to human health. Here, the lockdown response to the coronavirus outbreak is used to analyse effects of dramatic reduction in anthropogenic aerosol sources on satellite-retrieved aerosol optical depth (AOD). A machine learning model i...
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Main Authors: | , , , , , |
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Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
Stockholm University Press
2021-01-01
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Colecção: | Tellus: Series B, Chemical and Physical Meteorology |
Assuntos: | |
Acesso em linha: | http://dx.doi.org/10.1080/16000889.2021.1971925 |
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