Impacts of aerosol-radiation-cloud interactions on weather and air quality
嚴鴻霖教授
China has a substantial amount of emissions, significant trans-boundary pollution, unique climate characteristics, complex natural topography and a large population. Its high anthropogenic emissions cause particulate air pollution and consequent adverse public health problems. Secondary aerosol that forms in the atmosphere is highly non-linear due to its dependence on climate, atmospheric stability and composition, and therefore our understanding of its formation and interactions with climate is still very limited, despite its significant impact on climate. While mitigating air pollution, emission control policies may at the same time influence climate, which may in turn impact on air quality and hence the policies’ effectiveness. However, only a few studies have investigated the climate implications of air quality policies. These raise a number of research questions of how aerosol affects the climate and air quality in regions with special topographical, economic and climatic features, and the implications on future air quality projection and formulation of co-benefit strategies. This study intends to advance our knowledge of the impacts of aerosols on regional climate and air quality. For this purpose, the project will advance and use a state-of-the-science atmospheric model to characterize and quantify these impacts. This project will comprehensively advance the knowledge of the impacts of aerosols on regional climate and air quality, and thus provide important information for the processes in making a policy to achieve co-benefit in controlling air pollution and in mitigating climate change.
The changes in monthly (a) temperature (K) at 2 m above ground, (b) planetary boundary layer height (m), and (c) surface aerosol concentration (μg/m3) in June due to direct radiation forcing of aerosols. (Liu and Yim et al., 2018 in Geophysical Research Letters: https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2018GL077517)
Differences with time (abscissa; from 00Z on December 14 to 02Z on December 17) and height (ordinate) in (a) cloud droplet number concentration (CDNC, shading; 107 kg−1) and cloud effective radius (contour; µm), (d) cloud ice number concentration (CINC, shading; 105 kg−1) and ice cloud effective radius (contour; µm), and (g) vertical velocity (shading; cm s−1) and latent heating (contour; K d−1) due to aerosol-radiation-cloud interactions. For CINC and ice cloud effective radius, only cloud ice is considered. Zero-value contour lines are omitted, and negative values are dashed. (Liu and Yim et al., 2020 in Atmospheric Chemistry and Physics: https://acp.copernicus.org/articles/20/223/2020/