Satellite remote sensing of surface air quality

被引:370
作者
Martin, Randall V. [1 ,2 ]
机构
[1] Dalhousie Univ, Dept Phys & Atmospher Sci, Halifax, NS B3H 3J5, Canada
[2] Harvard Smithsonian Ctr Astrophys, Cambridge, MA 02138 USA
基金
美国国家航空航天局; 加拿大自然科学与工程研究理事会;
关键词
Remote sensing; Air quality; Satellite; Pollution; Emissions;
D O I
10.1016/j.atmosenv.2008.07.018
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Satellite remote sensing of air quality has evolved dramatically over the last decade. Global observations are now available for a wide range of species including aerosols, tropospheric 03, tropospheric NO2, CO, HCHO, and SO2. Capabilities for satellite remote sensing of these species in the boundary layer are reviewed for current instruments, along with physical processes affecting their accuracy and precision. Applications of satellite observations are discussed for case studies of specific events, for estimates of surface concentrations, and to improve emission inventories of trace gases and aerosols. Aerosol remote sensing at visible wavelengths exhibits high sensitivity to boundary layer concentrations. Although atmospheric scattering and surface emission of thermal radiation generally reduce instrument sensitivity to trace gases near the surface, a strong boundary layer signal in NO2 arises from its large boundary layer concentrations relative to the free troposphere. Recommendations are presented including (1) additional dedicated validation activities, especially for tropospheric NO2 and HCHO; (2) improved characterization of geophysical fields that affect remote sensing of trace gases and aerosols; (3) continued development of comprehensive assimilation and inversion capabilities to relate satellite observations to emissions and surface concentrations; (4) development of satellite instruments and algorithms to achieve higher spatial resolution to resolve urban scales, facilitate validation, and reduce cloud contamination that increases remote sensing error; and (5) support for the next generate of satellite instrumentation designed for air quality applications. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:7823 / 7843
页数:21
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