Abstract
The particle linear depolarization ratio (PLDR) and single scatter albedo (SSA) in 1020 nm from the Aerosol Robotic Network (AERONET) level 2.0 dataset was utilized among 52 stations to identify dust and dust dominated aerosols (DD), pollution dominated mixture (PDM), strongly absorbing aerosols (SA) and weakly absorbing aerosols (WA), investigate their spatial and temporal distribution, net radiative forcing and radiative forcing efficiency in global range, and further compare with VIIRS Deep Blue Production. The conclusion about net radiative forcing suggests that the high values of radiative forcing from dust and dust dominated aerosols, pollution dominated mixture both mainly come from western Africa. Strongly absorbing aerosols in South Africa and India contribute greatly to the net radiative forcing and the regions with relative high values of weakly absorbing aerosols are mainly located at East Asia and India. Lastly, the observation of VIIRS Deep Blue satellite monthly averaged products depicts the characteristics about spatial distribution of four kinds of aerosol well, the result from ground-based observation presents great significant to validate the measurements from remote sensing technology.
Highlights
It is well known that aerosols are ubiquitous and exert different impacts on regional and global climate, including scattering and absorbing incoming radiation [1]
1.10 ± 0.60 and 0.96 ± 0.49, respectively. This result is similar to results from other research that proposed that the west of Africa, northern India and northeastern China are major global aerosol emission source regions [40]
The relative lower Angström exponent (AE) values indicate that aerosols are mostly composed by coarse-mode aerosol
Summary
It is well known that aerosols are ubiquitous and exert different impacts on regional and global climate, including scattering and absorbing incoming radiation [1]. Aerosol effects above will be enhanced by nature and intensive anthropogenic emission [2]. Diverse particle size and aerosol mass determinate the different aerosol effects and atmosphere behavior, but the aerosol properties are still difficult to characterize because of spatial and temporal variation of the aerosol component [3,4]. Temporal and spatial variation of aerosols in the atmosphere and earth system will perturb the radiative budget balance, as a result, radiative forcing is adapted to evaluate the magnitude of solar energy changes. To increase the accuracy of measurement about the aerosol radiative forcing, classifying aerosol categories is inevitable [5]. Long-term observation of different kinds of aerosol types is significant to improve our knowledge about properties and radiative forcing of aerosol
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