Global Diurnal Variation Characteristics of Aerosol Optical Depth From 32 Years of AERONET Observations

Abstract Aerosols are ubiquitous microscopic particles in the atmosphere, and their diurnal variation characteristics reflect short‐term atmospheric changes that are crucial for climate monitoring and prediction. However, satellite, ground‐based, and reanalysis systems cannot simultaneously provide observational authenticity together with full temporal–spatial continuity. Using 32 years of hourly ground‐truth Aerosol Optical Depth (AOD) data from the global AERONET network, we identify eight representative modes of AOD diurnal variability through cluster analysis. The dominant diurnal patterns are strongly influenced by land cover and aerosol type. Comparison with MERRA‐2 reanalysis shows that only 12.7% of stations exhibit consistent all‐day diurnal AOD variability with AERONET observations. These results provide new constraints for understanding global aerosol diurnal behavior and offer guidance for satellite temporal sampling strategies and the improvement of satellite‐based AOD retrievals.

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Publication Details

Journal
Geophysical Research Letters
Published
2026-04-15
DOI
https://doi.org/10.1029/2025gl120933
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
0.00

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article

Global Diurnal Variation Characteristics of Aerosol Optical Depth From 32 Years of AERONET Observations

D Li, Haixiao Yu, Yujia Cao, Z Wang et al.
Geophysical Research Letters
Atmospheric aerosols and clouds
article

Global Diurnal Variation Characteristics of Aerosol Optical Depth From 32 Years of AERONET Observations

D Li, Haixiao Yu, Yujia Cao, Z Wang, Siyao Zhai, Cheng Chen
article en

Abstract

Abstract Aerosols are ubiquitous microscopic particles in the atmosphere, and their diurnal variation characteristics reflect short‐term atmospheric changes that are crucial for climate monitoring and prediction. However, satellite, ground‐based, and reanalysis systems cannot simultaneously provide observational authenticity together with full temporal–spatial continuity. Using 32 years of hourly ground‐truth Aerosol Optical Depth (AOD) data from the global AERONET network, we identify eight representative modes of AOD diurnal variability through cluster analysis. The dominant diurnal patterns are strongly influenced by land cover and aerosol type. Comparison with MERRA‐2 reanalysis shows that only 12.7% of stations exhibit consistent all‐day diurnal AOD variability with AERONET observations. These results provide new constraints for understanding global aerosol diurnal behavior and offer guidance for satellite temporal sampling strategies and the improvement of satellite‐based AOD retrievals.

Geophysical Research LettersVol. 53(8)
University of Science and Technology of China (CN), China Academy of Space Technology (CN), Chinese Academy of Sciences (CN), Hefei Institutes of Physical Science (CN), China National Space Administration (CN), Remote Sensing Application Center (BG), Anhui Institute of Optics and Fine Mechanics (CN), Space Engineering University (CN)
National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 17%
Atmospheric aerosols and clouds
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