GARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures

摘要

The Generalized Aerosol Retrieval from Radiometer and LidarCombined data algorithm (GARRLiC) and the LIdar-Radiometer InversionCode (LIRIC) provide the opportunity to study the aerosol verticaldistribution by combining ground-based lidar and sun-photometricmeasurements. Here, we utilize the capabilities of both algorithms for thecharacterization of Saharan dust and marine particles, along with theirmixtures, in the south-eastern Mediterranean during the CHARacterizationof Aerosol mixtures of Dust and Marine origin Experiment(CHARADMExp). Three case studies are presented, focusing on dust-dominated,marine-dominated and dust–marine mixing conditions. GARRLiC and LIRIC achievea satisfactory characterization for the dust-dominated case in terms ofparticle microphysical properties and concentration profiles. Themarine-dominated and the mixture cases are more challenging for bothalgorithms, although GARRLiC manages to provide more detailed microphysicalretrievals compared to AERONET, while LIRIC effectively discriminates dustand marine particles in its concentration profile retrievals. The results are alsocompared with modelled dust and marine concentration profiles and surface insitu measurements.