Shuhui Liu , Lei Li , Xindan Zhang , Cheng Chen , Haoling Zhang , Ke Gui , Yu Zheng , Jingrui Ma , Huizheng Che
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引用次数: 0
Abstract
Accurate characterization of land surface reflectance remains a critical challenge in aerosol retrieval algorithms, particularly in reducing uncertainties associated with satellite-derived aerosol composition products. Through a comprehensive analysis of aerosol component retrievals derived from POLDER/PARASOL observations at global AERONET-validated sites by the GRASP/Component approach, this study investigates the uncertainties in component retrievals based on the Ross-Li and RPV surface reflectance models. We found that these aerosol component retrievals between Ross-Li and RPV models generally show good agreements globally (aerosol absorbing components: R = 0.90 for BC, R = 0.79 for BrC, and R = 0.84 for CAI; aerosol scattering insoluble components: R = 0.94 for FNAI, R = 0.90 for CNAI; aerosol scattering soluble components: R = 0.80 for FNAS+FAWC, R = 0.74 for CNAS+CAWC). Compared to component retrievals based on Ross-Li model, RPV model presents higher aerosol insoluble scattering components but lower soluble scattering components in North Africa, East Asia, and Southeast Asia. These findings highlight the critical role of surface reflectance parameterization in aerosol composition inversion accuracy, particularly for coarse-mode-dominated regions.
期刊介绍:
The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.