报告题目：Long-Term Lidar Observations of Aerosols and Cirrus Clouds: Implications for Air Quality, Radiation, and Climate Extremes
报 告 人：Simone Lolli Professor/Senior Research Scientist
报告时间：2025年12月29日 （周一）16:30
报告地点：气象楼1114会议室
主 持 人：杨元建 教授
报告人简介：
Simone Lolli is a senior atmospheric scientist at the Italian National Research Council (CNR), expert in Earth observation and remote sensing of aerosols and clouds. He received his PhD from École Polytechnique (France) and has authored more than 85 peer-reviewed journal papers. Dr. Lolli is an active member of the NASA MPLNET science team and has led or co-led multiple international projects focusing on aerosol–cloud–radiation interactions, boundary-layer dynamics, and air-quality impacts on climate and health. His research combines long-term ground-based observations, satellite data, and machine-learning techniques, with extensive collaborations across Europe, China, and the United States.
报告简介：
Ground-based active remote sensing has become a cornerstone for understanding the vertical structure of aerosols and clouds and their role in regional climate and air-quality processes. In this lecture, I will present key results from more than two decades of lidar observations conducted within international networks such as NASA MPLNET, ACTRIS (EARLINET), and regional Doppler wind lidar deployments in Europe and China.
The talk will focus on (i) long-term climatologies of aerosol and cirrus cloud optical and microphysical properties, (ii) the radiative impacts of mineral dust, biomass-burning aerosols, and optically thin cirrus clouds, and (iii) recent advances in automated and machine-learning-based lidar retrieval algorithms. Particular emphasis will be placed on urban and megacity environments, including the Yangtze River Delta and Beijing metropolitan area, where aerosol–boundary-layer interactions, synoptic modulation, and extreme heat or pollution events strongly affect human exposure and climate feedbacks. By integrating ground-based lidar measurements with satellite observations and numerical models, this lecture highlights how vertically resolved observations can reduce uncertainties in radiative forcing estimates and improve air-quality and climate assessments, providing actionable insights for rapidly urbanizing regions in East Asia.
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大气物理学院
2025年12月25日
