Atmospheric Aerosol Transport and Air Quality Modeling

Atmospheric aerosols—suspensions of fine solid or liquid particles in air—play a pivotal role in climate regulation, human health and ecosystem dynamics. Their transport occurs across scales, from local urban plumes to intercontinental corridors driven by prevailing winds and meteorological phenomena. Chemical transformation en route alters particle composition through oxidation, ageing and aqueous-phase processes, while interactions with clouds and radiation influence weather patterns and radiative forcing. Modelling of aerosol transport and air quality integrates emission inventories, meteorological data and chemical transport models to simulate dispersion, transformation and deposition. Contemporary approaches blend high-resolution satellite retrievals with ground-based monitoring and data assimilation techniques to constrain model uncertainties. Outputs inform policy by quantifying source contributions, projecting the impact of emission controls and guiding strategies to mitigate health risks and reduce short-lived climate pollutants. The global significance of this field is underscored by its capacity to underpin transboundary air pollution agreements, anticipate extreme smog events and support co-benefit strategies for air quality improvement and climate change mitigation.

Research from Nature Portfolio

A comprehensive study in a leading open-access journal examined spatiotemporal patterns of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) in a coastal region over multiple years. By combining geostatistical interpolation, machine-learning algorithms and time-series decomposition, researchers revealed that PM2.5 exhibited pronounced long-range transport characteristics, whereas NO2 remained largely local. Despite coordinated tri-national efforts, local emission controls proved more effective for NO2 than for PM2.5, underscoring the persistence of transboundary aerosol burdens. The multi-method framework delivered robust forecasts of pollutant concentrations and identified divergent trends in source contributions, offering a template for holistic assessment and evidence-based management strategies in regions with complex transport dynamics.

Atmospheric Aerosol Transport and Air Quality Modeling publication trend

The graph below shows the total number of articles in atmospheric aerosol transport and air quality modeling across all publications each year (not limited to Nature Index journals).

Technical terms

Aerosol optical depth (AOD): A dimensionless measure of the extinction of solar radiation by airborne particles integrated over a vertical column of atmosphere.

PM2.5: Particulate matter with an aerodynamic diameter of 2.5 micrometres or less, capable of penetrating deep into the respiratory tract.

Chemical transport model (CTM): A numerical framework that simulates the emission, chemical transformation, transport and deposition of atmospheric pollutants.

Emission inventory: A quantitative estimate of pollutant releases to the atmosphere from anthropogenic and natural sources, resolved by sector, species and time.

Transboundary transport: Movement of pollutants across political or geographical borders driven by atmospheric circulation, affecting downwind air quality.

References

1. The HTAP_v3 emission mosaic: merging regional and global monthly emissions (2000–2018) to support air quality modelling and policies. Earth System Science Data (2023).
2. Dramatic improvement of aerosol pollution status over the East Asian ocean: from the establishment of Japanese environmental quality standard for PM2.5 in 2009 to its achievement in 2021. Environmental Research Letters (2024).
3. MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia. Atmospheric Chemistry and Physics (2019).
4. Spatiotemporal distribution, trend, forecast, and influencing factors of transboundary and local air pollutants in Nagasaki Prefecture, Japan. Scientific Reports (2023).