Long-Term Variation Study of Fine-Mode Particle Size and Regional Characteristics Using AERONET Data

Long-Term Variation Study of Fine-Mode Particle Size and Regional Characteristics Using AERONET Data

To identify the long-term trend of particle size variation, we analyzed aerosol optical depth (AOD, τ) separated as dust (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi mathvariant=&quo...

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Bibliographic Details
Main Authors: Juseon Shin, Juhyeon Sim, Naghmeh Dehkhoda, Sohee Joo, Taegyeong Kim, Gahyeong Kim, Detlef Müller, Matthias Tesche, Sung-Kyun Shin, Dongho Shin, Youngmin Noh
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
aerosol optical depth
Ångström exponent
annual variation
fine-mode aerosol
AERONET
Online Access:https://www.mdpi.com/2072-4292/14/18/4429

Internet

https://www.mdpi.com/2072-4292/14/18/4429

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