大气环境遥感与协同分析
封面图片为大气环境遥感与协同分析示意图,图中主体为遥感辐射传输过程,大气环境遥感的主要对象为大气中的气溶胶颗粒物(PM2.5、PM10、黑碳、硫酸盐、硝酸盐、沙尘等)、污染气体(O3、NO2、SO2、CO 等)、温室气体(CO2、CH4)及云,通过卫星和地面遥感仪器(太阳光度计、激光雷达、多轴差分吸收光谱仪等)的观测反演生成产品数据,进一步协同化学传输模式、机器学习开展多学科融合研究,服务于空气质量改善与碳减排。本期专刊的 16 篇论文汇总了大气环境遥感与协同分析领域的最新研究成果。
Atmospheric environmental remote sensing and synergistic analysis
The cover picture is a schematic diagram of atmospheric environmental remote sensing and synergistic analysis. The main body of the picture is the remote sensing radiation transfer process. The main objects of atmospheric environmental remote sensing are aerosol particles (PM2.5, PM10, black carbon, sulfate, nitrates, dust, etc.), gaseous pollutants (O3, NO2, SO2, CO, etc.), greenhouse gases (CO2, CH4, etc.) and clouds in the atmosphere. Satellite and ground-based remote sensing instruments (Sunphotometer, Lidar, MAX-DOAS, etc.) are applied to observe these objects and retrieve data products. Furthermore, synergistic analyses of remote sensing data using chemical transport modeling and/or machine learning are carried out in multidisciplinary research to support action on air quality improvement and carbon emission reduction. This special issue consisting of 16 papers presents the latest research progress in this area.