Articles | Volume 25, issue 8
https://doi.org/10.5194/acp-25-4617-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-4617-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Apr 2025
Research article |
| 30 Apr 2025
| 30 Apr 2025
Long-term trends in aerosol properties derived from AERONET measurements
Zhenyu Zhang
Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, 100871, Beijing, China
Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, 100871, Beijing, China
Huizheng Che
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, China Meteorological Administration, 100081, Beijing, China
Yueming Dong
Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, 100871, Beijing, China
Oleg Dubovik
Laboratoire d'Optique Atmosphérique, CNRS/Université de Lille, Villeneuve-d'Ascq, 59650 Lille, France
Thomas Eck
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Goddard Earth Sciences and Technology Center, University of Maryland Baltimore County, Baltimore, MD 21250, USA
Pawan Gupta
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Brent Holben
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Jhoon Kim
Department of Atmospheric Science, Yonsei University, Seoul, 03722, Republic of Korea
Elena Lind
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Trailokya Saud
Indian Institute of Technology Kanpur, Kanpur, 208016, India
Sachchida Nand Tripathi
Indian Institute of Technology Kanpur, Kanpur, 208016, India
Tong Ying
Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, 100871, Beijing, China
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Cited
14 citations as recorded by crossref.
- A global aerosol model based on the analysis of 30-year ground measurements from AERONET (AEROEX model): Implications for satellite-derived aerosol retrievals M. Mishra et al.
- Retrieving Nocturnal Aerosol Optical Depth Using Lunar Photometry: Algorithm Improvements and Evaluation J. Zhu et al.
- An Algorithm for Aerosol Optical Properties Retrieval Over the Ocean Accelerated by a Neural Network From Single-View Multispectral Measurements of Intensity and Polarization Z. Ji et al.
- Characterizing aerosol sources based on aerosol optical properties and dispersion modelling in a Scandinavian Coastal Area (Aarhus, Denmark) Z. Teng et al.
- Classification of global aerosol types and its radiative effects using Aerosol Robotic Network (AERONET) data S. Mukhopadhyay et al.
- Aerosol composition, transport, and radiative impact derived from ground-based and satellite remote sensing in the Central Himalaya P. Singh et al.
- Variability of aerosol optical depth with precipitable water vapour at different wavelengths in the recent decade A. Azi & L. San
- Physical-Guided Transfer Deep Neural Network for High-Resolution AOD Retrieval D. Chen et al.
- Perspective on measurements and modeling of Earth’s climate G. Coppa & L. Massano
- Long-term retrieval and analysis of aerosol components and optical properties in Tianjin, China: Insights from GRASP/component approach and sun-photometer observations (2014–2024) X. Zhang et al.
- Characterization of the Optical Properties of Biomass-Burning Aerosols in Two High Andean Cities, Huancayo and La Paz, and Their Effect on Radiative Forcing C. Victoria-Barros & R. Estevan Arredondo
- A global black carbon dataset of column concentration and microphysical information derived from MISR multi-band observations and Mie scattering simulations Z. Liu et al.
- Retrieval of global aerosol and surface properties from the Gaofen-5 Directional Polarimetric Camera measurements Z. Zhang et al.
- A new aerosol type identification algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS) instrument F. Wang et al.
14 citations as recorded by crossref.
- A global aerosol model based on the analysis of 30-year ground measurements from AERONET (AEROEX model): Implications for satellite-derived aerosol retrievals M. Mishra et al.
- Retrieving Nocturnal Aerosol Optical Depth Using Lunar Photometry: Algorithm Improvements and Evaluation J. Zhu et al.
- An Algorithm for Aerosol Optical Properties Retrieval Over the Ocean Accelerated by a Neural Network From Single-View Multispectral Measurements of Intensity and Polarization Z. Ji et al.
- Characterizing aerosol sources based on aerosol optical properties and dispersion modelling in a Scandinavian Coastal Area (Aarhus, Denmark) Z. Teng et al.
- Classification of global aerosol types and its radiative effects using Aerosol Robotic Network (AERONET) data S. Mukhopadhyay et al.
- Aerosol composition, transport, and radiative impact derived from ground-based and satellite remote sensing in the Central Himalaya P. Singh et al.
- Variability of aerosol optical depth with precipitable water vapour at different wavelengths in the recent decade A. Azi & L. San
- Physical-Guided Transfer Deep Neural Network for High-Resolution AOD Retrieval D. Chen et al.
- Perspective on measurements and modeling of Earth’s climate G. Coppa & L. Massano
- Long-term retrieval and analysis of aerosol components and optical properties in Tianjin, China: Insights from GRASP/component approach and sun-photometer observations (2014–2024) X. Zhang et al.
- Characterization of the Optical Properties of Biomass-Burning Aerosols in Two High Andean Cities, Huancayo and La Paz, and Their Effect on Radiative Forcing C. Victoria-Barros & R. Estevan Arredondo
- A global black carbon dataset of column concentration and microphysical information derived from MISR multi-band observations and Mie scattering simulations Z. Liu et al.
- Retrieval of global aerosol and surface properties from the Gaofen-5 Directional Polarimetric Camera measurements Z. Zhang et al.
- A new aerosol type identification algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS) instrument F. Wang et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
We used ground-based remote sensing data from the Aerosol Robotic Network to examine long-term trends in aerosol characteristics. We found aerosol loadings generally decreased globally, and aerosols became more scattering. These changes are closely related to variations in aerosol compositions, such as decreased anthropogenic emissions over East Asia, Europe, and North America; increased anthropogenic sources over northern India; and increased dust activity over the Arabian Peninsula.
We used ground-based remote sensing data from the Aerosol Robotic Network to examine long-term...
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