Abstract
By means of available ice nucleating particle (INP) parameterization schemes we compute profiles of dust INP number concentration utilizing Polly-XT and CALIPSO lidar observations during the INUIT-BACCHUS-ACTRIS 2016 campaign. The polarization-lidar photometer networking (POLIPHON) method is used to separate dust and non-dust aerosol backscatter, extinction, mass concentration, particle number concentration (for particles with radius > 250 nm) and surface area concentration. The INP final products are compared with aerosol samples collected from unmanned aircraft systems (UAS) and analyzed using the ice nucleus counter FRIDGE.
Highlights
Despite their low concentration in the atmosphere, ice nucleating particles (INP) are crucial for the evolution of ice in clouds, as they act as seedsurfaces for water in order to enable the development and growth of ice
Two different types of unmanned aircraft systems (UAS) were used for INP sampling, namely Cruiser and Skywalker X8, able to carry a payload of up to 10 kg and 2 kg respectively. 42 flights were performed in total, which generated a total of 52 samples over 19 days
The results show a very good agreement between the Polly-XT and CALIPSO INP concentrations (INPC) retrievals
Summary
Despite their low concentration in the atmosphere, ice nucleating particles (INP) are crucial for the evolution of ice in clouds, as they act as seedsurfaces for water in order to enable the development and growth of ice. Mineral dust is one of the most important IN aerosol types and has been identified in liquid-water, mixed phase and cirrus clouds in field and laboratory studies [1]. Gaps in our knowledge of the detailed impact of aerosols on the evolution of liquid-water, mixed phase and cirrus clouds drive atmospheric research towards field studies of aerosol-clouddynamics interaction. We use the data from this field campaign to compare remote sensing with airborne in-situ retrievals of INP concentrations (INPC)
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