长江
环境科学
卫星
对流层
中国
三角洲
地平面
大气科学
气候学
水文学(农业)
地理
地质学
工程类
航空航天工程
考古
建筑工程
岩土工程
一楼
作者
Jiaqi Dong,Xiuying Zhang,Nan Zhan
标识
DOI:10.1016/j.atmosenv.2023.120018
摘要
This study proposed a method to downscale ground-level CO concentrations from satellite observations. Taking the Yangtze River Economic Belt of China as the study area, ground-level CO concentrations (0.25° × 0.25°) were first estimated from the troposphere (MOPITT) CO columns and atmospheric CO profiles simulated by the chemical transport model CAM-CHEM; then the resulting data was downscaled to 1 × 1 km2 based on an algorithm of multiscale geo-weighted regression (MGWR) model with the auxiliary factors. The estimated ground-level CO concentrations were in good agreement with the observations at ground-based sites (RMSE = 0.25 mg/m3, PRE = 19%). In the Yangtze River Economic Belt, monthly ground-level CO concentrations showed obvious temporal and spatial variations, ranging from 0.30 to 0.81 mg/m3 and an average of 0.49 mg/m3; high CO values occurred in winter, while low in summer; hotspots of CO concentrations were concentrated in the northern Yangtze River Delta and the urban areas.
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