A correlation-based Inversion Method for Aerosol Property (CIMAP) Retrieval from AERONET Measurements

Abstract

We developed a principal-component based inversion approach – A correlation-based Inversion Method for Aerosol Property (CIMAP), to retrieve aerosol properties from AERONET measurements of aerosol optical depths (AODs) and sky radiances. Capitalizing on the correlation in aerosol properties, CIMAP reduces the aerosol retrieval parameter space and saves retrieval time by more than 80% from adopting 7-8 principal components in the retrieval process, compared to retrievals in regular parameter space. As algorithm test, CIMAP is implemented to retrieve 60 sets of AERONET observations in several selected areas in southern California, southern Africa, and north China around Beijing, and the results are compared to the AERONET measurement and operational retrieval products. The mean absolute differences are found to be 0.004, 0.019, 0.032, 0.039, 0.003, and 0.044μm for aerosol optical depth, single scattering albedo, Ångström exponent, real and imaginary parts of refractive index, and effective radii of whole size distribution, respectively. These differences are within or close to AERONET measurement or retrieval uncertainties.