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. Measuring spectral aerosol absorption remains a challenging task in aerosol studies, especially in the UV region, where ground and airborne measurements are sparse. In this paper, we introduce an algorithm that synergizes ground measurements with satellite observations for the derivation of spectral single scattering albedo (SSA, ωo) of aerosols in the UV-to-visible wavelength range (340–670 nm). The approach consists in explaining satellite-measured near-UV radiances (340, 354, 388 nm) by the Ozone Monitoring Instrument (OMI) and visible radiances(466, 646 nm) by the Moderate Resolution Imaging Spectroradiometer (MODIS), given thecollocated ground-based Aerosol Robotic Network (AERONET) measurements oftotal column extinction aerosol optical depth (AOD, τ), in terms ofretrieved total column wavelength-dependent SSA using radiative transfercalculations. Required information on aerosol particle size distribution isadopted from AERONET-based aerosol type-dependent seasonal climatologiesspecifically developed for this project. The inversion procedure is appliedto about 110 AERONET sites distributed worldwide, for which continuous,long-term AERONET measurements are available. Using the derived data set, we present seasonal and regional climatology of ωo(λ) for carbonaceous, dust, and urban/industrial aerosols. The resulting UV–visiblespectral dependence of ωo obtained for these three majoraerosol types is found to be both qualitatively and quantitativelyconsistent with independent measurements reported in the literature. Acomparison to standard AERONET SSA product at 440 nm shows absolutedifferences within 0.03 (0.05) for 40 % (65 %) of the comparedobservations. The derived aerosol ωo(λ) data setprovides a valuable addition to the existing aerosol absorption record fromAERONET by extending it to the near-UV region. Furthermore, SSA retrievalsfrom our method at visible wavelengths and around satellite overpass timealso complement the equivalent inversion available during earlymorning/late afternoon from AERONET. In addition to improving our understanding of spectral aerosol absorption properties, the combinedUV–visible data set also offers wavelength-dependent dynamic aerosol absorption models for use in the satellite-based aerosol retrieval algorithms.

Retrieval of UV–visible aerosol absorption using AERONET and OMI–MODIS synergy: spatial and temporal variability across major aerosol environments