Aerosol Single Scattering Albedo Estimated Across East Asia from Advanced Himawari Image Data
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing …, 2022•ieeexplore.ieee.org
Single scattering albedo (SSA) is an important parameter affecting the radiative forcing of
aerosol. However, current SSA retrieval only relies on several typical aerosol models,
limiting the range of SSA variation. This study proposed a new parameterization scheme of
the aerosol model, which optimized the independent SSA value into mixed combination of
three basic aerosol components, then constructed lookup table to obtain hourly SSA from
the Advanced Himawari Image (AHI) sensor. The comparison is encouraging the retrieved …
aerosol. However, current SSA retrieval only relies on several typical aerosol models,
limiting the range of SSA variation. This study proposed a new parameterization scheme of
the aerosol model, which optimized the independent SSA value into mixed combination of
three basic aerosol components, then constructed lookup table to obtain hourly SSA from
the Advanced Himawari Image (AHI) sensor. The comparison is encouraging the retrieved …
Single scattering albedo (SSA) is an important parameter affecting the radiative forcing of aerosol. However, current SSA retrieval only relies on several typical aerosol models, limiting the range of SSA variation. This study proposed a new parameterization scheme of the aerosol model, which optimized the independent SSA value into mixed combination of three basic aerosol components, then constructed lookup table to obtain hourly SSA from the Advanced Himawari Image (AHI) sensor. The comparison is encouraging the retrieved SSA results agree well with AERONET, especially for high aerosol loading (AOD > 0.3 at 470nm), with correlation coefficient of R = 0.50, RMSE = 0.02, and approximately 93% of retrieval results falling within the 5% EE envelope. Under normal conditions, R = 0.46, RMSE = 0.04, and approximately 68% of retrieved SSA fall in within the uncertainty of SSA = ±0.05. The comparison demonstrates the algorithm has the excellent ability to estimate SSA in pollution over land.
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