Ilić, Luka, Jovanović, Aleksandar, Kuzmanoski, Maja, Lazić, Lazar, Madonna, Fabio, Rosoldi, Marco, Mytilinaios, Michail, Marinou, Eleni, and Ničković, Slobodan
Dust aerosols are abundant in the atmosphere and are very efficient ice nucleating particles at temperatures below −15°C. Depending on temperature, dust particles containing certain minerals (i.e., feldspar and quartz) are the most active as ice nuclei. A mineralogy‐sensitive immersion freezing parameterization for ice nucleating particle concentration (INPC) is implemented in Dust Regional Atmospheric Model (DREAM) for the first time. Additionally, four mineralogy‐indifferent parameterizations are implemented, two for immersion freezing and two for deposition nucleation. Dust concentration and its feldspar and quartz fractions are forecasted by DREAM for a dust episode in the Mediterranean in April 2016. DREAM results are compared with vertical profiles of cloud‐relevant dust concentrations and INPC from ground‐based lidar measurements in Potenza, Italy and Nicosia, Cyprus. INPC predictions are also compared with vertical profiles of ice crystal number concentration (ICNC) from satellite observations for two overpasses over the dust plume. The model successfully simulates the evolution and vertical extent of the dust plume. Mineralogy‐sensitive and mineralogy‐indifferent INPC parameterization results generally differ by about an order of magnitude. Forecasted INPC and observed ICNC values differ by an order of magnitude for all parameterizations. Feldspar fraction increase within a dust plume during transport can increase INPC by around 6% at −35°C, and up to 17% at −25°C, but sedimentation can reduce this effect. Over the Atlantic, mineralogy‐sensitive parameterization predicts horizontal distribution of clouds with higher probability of success, while in the Mediterranean; the results for different parameterizations show lower variability. Supercooled water droplets in clouds can freeze at temperatures around −37°C. Dust particles immersed in water droplets can enhance formation of ice crystals at higher temperatures. The efficiency of dust particles in ice initiation has been attributed to the presence of ice‐active minerals, such as feldspar and quartz. In this work, we use a computer model (DREAM) to calculate how mineral dust particles from Sahara and Middle East are lifted and transported by the atmospheric flow. The model, includes equations that predict ice initiation depending on dust concentration and mineral composition, temperature and humidity. Atmospheric remote sensing observations from lidar and radar ground‐based and satellite platforms provide information about vertical structures of dust plumes, their horizontal extent, and estimations of the dust particle and ice crystal concentrations in the atmosphere. We simulate a dust plume development in Mediterranean in April 2016 and compare results with data from lidar stations (in Potenza, Italy and Nicosia, Cyprus) and from satellites. DREAM successfully predicts horizontal and vertical extent of the dust plume and provides good estimations of ice initiation. Feldspar, the most efficient mineral in ice initiation, is mostly present in larger particles and can be more easily deposited during atmospheric transport. Mineralogy‐sensitive setup predicts spatial distribution of ice nucleating particle concentrations (INPC) in a dust plume in MediterraneanMineralogy‐sensitive prediction of INPC is within the range of mineralogy‐indifferent ones and in agreement with measurements below −20°CFeldspar content in a dust plume affects ice initiation by around 6% at −35°C, and up to 17% at −25°C, but sedimentation reduces this effect Mineralogy‐sensitive setup predicts spatial distribution of ice nucleating particle concentrations (INPC) in a dust plume in Mediterranean Mineralogy‐sensitive prediction of INPC is within the range of mineralogy‐indifferent ones and in agreement with measurements below −20°C Feldspar content in a dust plume affects ice initiation by around 6% at −35°C, and up to 17% at −25°C, but sedimentation reduces this effect