Aerosol and Air Quality Research · 2021 · 15 citations · 64 references
Natural SciencesEarth SciencesAir PollutionAtmospheric RadiationAtmospheric ScienceAerosol ChemistryAerosol PhysicsAerosol Radiative EffectsAerosol ScienceParticulate MatterRadiative ForcingAerosol Direct Radiative EffectAerosol Forcing EfficiencyAerosol PropertiesAerosol Radiative ForcingAerosol Single-scattering AlbedoAerosol Type ClassificationDirect Radiative ForcingRadiative Forcing Efficiency
Based on the particle linear depolarization ratio (PLDR) and single-scattering albedo (SSA) values obtained for 1020 nm from Aerosol Robotic Network (AERONET) Version 3 Level 2.0 data collected in five regions, namely, northern China, Northwest Asia, the Tibetan Plateau, southern China and Southeast Asia, we classified seven types of aerosol (viz., purely dust, dust-dominated, pollution-dominated, non-absorbing [NA], weakly absorbing [WA], moderately absorbing [MA] and strongly absorbing [SA]) in order to assess the spatial and temporal distributions of their constituents and the radiative effects of their fine- and coarse-mode particles. The fine fraction dominated in northern China and also played a crucial role on the Tibetan Plateau and in southern China and Southeast Asia, whereas the coarse fraction prevailed in Northwest Asia. Furthermore, the fine-mode aerosol on the Tibetan Plateau exhibited its maximum radiative forcing efficiency (110.3 W m–2) during high concentrations of SA aerosol. Also, the lowest values for both the radiative forcing and the radiative forcing efficiency in southern China occurred during summer. Finally, the various aerosol constituents displayed distinct spatial and temporal distributions in Southeast Asia, with the SA aerosol contributing approximately 20% of the total aerosol on the Indochinese Peninsula and the NA and WA aerosol forming the largest percentages on the Malay Peninsula.
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AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization
B. N. Holben, T. F. Eck, I. Slutsker et al. · Remote Sensing of Environment · 1998 · 8.5K citations · Full text
Cloud-Screening and Quality Control Algorithms for the AERONET Database
A. Smirnov, B. N. Holben, T. F. Eck et al. · Remote Sensing of Environment · 2000 · 1.5K citations · Full text