Articles | Volume 24, issue 4
https://doi.org/10.5194/acp-24-2113-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-24-2113-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Opinion
| Highlight paper
| 
20 Feb 2024
Opinion | Highlight paper |
| 20 Feb 2024
| 20 Feb 2024
Opinion: Aerosol remote sensing over the next 20 years
Goddard Earth Sciences Technology and Research 2 (GESTAR 2), University of Maryland Baltimore County, Baltimore, MD 21228, USA
Robert C. Levy
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
J. Vanderlei Martins
Department of Physics, University of Maryland Baltimore County, Baltimore, MD 21250, USA
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Total article views: 2,730 (including HTML, PDF, and XML)
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Total article views: 7,672 (including HTML, PDF, and XML)
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Total article views: 4,942 (including HTML, PDF, and XML)
Thereof 4,942 with geography defined
and 0 with unknown origin.
Total article views: 2,730 (including HTML, PDF, and XML)
Thereof 2,725 with geography defined
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- Aerosol Optical Depth Retrieval From Gaofen-5B POSP Using Attention-Enhanced Kolmogorov–Arnold Networks Z. Liu et al. https://doi.org/10.1109/TGRS.2026.3706811
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- A machine learning paradigm for necessary observations to reduce uncertainties in aerosol climate forcing J. Redemann & L. Gao https://doi.org/10.1038/s41467-024-52747-y
- Assessment of aerosol optical depth using MAIAC and AERONET data during the 2020 wildfire season in southeastern South America M. Valle Seijo et al. https://doi.org/10.1016/j.envpol.2026.127940
- Assessing the performance of the Copernicus Atmosphere Monitoring Service reanalysis: a comprehensive analysis of aerosol optical depth over India K. Shukla et al. https://doi.org/10.1007/s11356-025-37286-3
- 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. https://doi.org/10.1109/TGRS.2025.3630102
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- Long term variability of carbonaceous aerosols in a West African savanna over a 15 year-period (Lamto, Côte d’Ivoire) A. Ochou et al. https://doi.org/10.1016/j.atmosenv.2026.121874
- Quantifying drone propeller-induced flow for optimal aerosol sensor placement C. Eckert et al. https://doi.org/10.1063/5.0310240
- Sensitivity of aerosol models in satellite-based AOD retrieval: a quantitative analysis using Oceansat-3/OCM-3 multi-spectral measurements A. Athul et al. https://doi.org/10.1080/2150704X.2026.2626362
- Geospatial association between aerosols and its short-lived precursors over South Asia H. Baranwal et al. https://doi.org/10.1016/j.rsase.2026.101962
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- Suitability of a group of spheroids with a lognormal shape distribution for modeling the scattering and polarimetric properties of irregular particles J. Luo et al. https://doi.org/10.1016/j.jqsrt.2025.109732
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- Synergetic retrieval from multi-mission spaceborne measurements for enhanced aerosol and surface characterization P. Litvinov et al. https://doi.org/10.5194/amt-18-7679-2025
- Detecting the layer height of smoke and dust aerosols over land and ocean using ultraviolet dual-wavelength measurements P. Li et al. https://doi.org/10.1016/j.rse.2025.115001
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- ALICENET – an Italian network of automated lidar ceilometers for four-dimensional aerosol monitoring: infrastructure, data processing, and applications A. Bellini et al. https://doi.org/10.5194/amt-17-6119-2024
- From observation to protection a bibliometric analysis of aerosol-glacier interactions H. Meng et al. https://doi.org/10.1016/j.isci.2026.114672
- Aerosol composition, transport, and radiative impact derived from ground-based and satellite remote sensing in the Central Himalaya P. Singh et al. https://doi.org/10.1016/j.scitotenv.2025.180657
- Satellite remote sensing of aerosol single scattering albedo: Instruments, algorithms, and challenges Y. Dong et al. https://doi.org/10.1016/j.jqsrt.2025.109802
- Physical-Guided Transfer Deep Neural Network for High-Resolution AOD Retrieval D. Chen et al. https://doi.org/10.3390/rs17213606
- A Radar-Based Methodology for Aerosol Plume Identification and Characterisation on the South African Highveld G. Botha et al. https://doi.org/10.3390/atmos15101201
- Global evaluation of Fengyun-3 MERSI dark target aerosol retrievals over land L. Yang et al. https://doi.org/10.1080/17538947.2024.2344580
- Retrieval of black carbon aerosol surface concentration using integrated MODIS and AERONET data X. Jiang et al. https://doi.org/10.5194/amt-18-4559-2025
- 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. https://doi.org/10.1016/j.atmosres.2025.108695
Saved (final revised paper)
Latest update: 23 Jul 2026
Editorial statement
The influence aerosols have on climate has long been recognised, but our ability to observe and quantify them on global scales came of age with the use of new satellite-based instruments and data products in recent decades. As instrumentation technologies improve alongside our abilities to handle large quantities of data and process using the latest data science approaches, the data products available to atmospheric science will only improve in decades to come. This opinion article tries to anticipate what tools and insights the community can look forward to in the near future.
The influence aerosols have on climate has long been recognised, but our ability to observe and...
Short summary
Aerosols are small liquid or solid particles suspended in the atmosphere, including smoke, particulate pollution, dust, and sea salt. Today, we rely on satellites viewing Earth's atmosphere to learn about these particles. Here, we speculate on the future to imagine how satellite viewing of aerosols will change. We expect more public and private satellites with greater capabilities, better ways to infer information from satellites, and merging of data with models.
Aerosols are small liquid or solid particles suspended in the atmosphere, including smoke,...
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