摘要: | 研究期間:10105~10207;Current assessment of aerosol radiative effect is hindered by our incomplete knowledge of aerosol optical properties, especially absorption. In this research, we attempt to investigate direct aerosol radiative effect over both source and sink regions of Asian atmospheric pollutants (i.e., dust, anthropogenic, and biomass burning) using a measurement-based modeling approach. The ground-based remote sensing measurements, covered different wavelengths (i.e. UV-VIS) and principals (i.e. active and positive), including sun/sky photometers, radiometers, spectrometer, and lidars will be integrated and applied to quantify the aerosol optical properties (i.e. absorption, mixing state, vertical distribution, as well as season-annual variability) over Taiwan. In addition, a newly invested instrument, the sun/sky spectrometer, with the capable of retrieving aerosol and trace gases amount and profiles, will be a useful tool for studying the ozone intrusion mechanism over Lulin. We will also collaborate with the NASA/SMARTLabs to obtain the aerosol data around source regions (i.e. Zhangye/China and Son La/Vietnam), and further address the physicochemical evolution of aerosols during the long-range transport. Finally, combined with radiative transfer simulations, the roles of radiative heating and microphysical effects due to aerosol and trace gases will be discussed. The project and outcome are a key element of the 7-SEAS (Seven SouthEast Asian Studies) framework, can help us to elucidate several science questions, such as long-range transport of biomass burning, long-term variability of aerosol properties, and regional radiative effects. For the integration project and sub-projects, the results from this project will facilitate the detailed design of numerical experiments, and the validation of the model/satellite results. Overall, the proposed project armed with a complete set of radiation instruments/networks, propose a synergetic approach towards integrating the radiation observations and radiative transfer models to fully investigate the role of atmospheric pollutants in the regional climate system. |