Fully Dynamic High–Resolution Model for Dispersion of Icelandic Airborne Mineral Dust

Icelandic topsoil sediments, as confirmed by numerous scientific studies, represent the largest and the most important European source of mineral dust. Strong winds, connected with the intensive cyclonic circulation in the North Atlantic, induce intense emissions of mineral dust from local sources a...

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Bibliographic Details
Published in:Atmosphere
Main Authors: Cvetkovic, Bojan, Dagsson-Waldhauserová, Pavla, Petkovic, Slavko, Arnalds, Ólafur, Madonna, Fabio, Proestakis, Emmanouil, Gkikas, Antonis, Vukovic Vimic, Ana, Pejanovic, Goran, Rosoldi, Marco, Ceburnis, Darius, Amiridis, Vassilis, Lisá, Lenka, Nickovic, Slobodan, Nikolic, Jugoslav
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
coupled atmospheric–dust model
dust sources
high latitude dust
Icelandic soils and sediments
volcanic glass
Iceland
North Atlantic
Online Access:http://aspace.agrif.bg.ac.rs/handle/123456789/6184
https://doi.org/10.3390/atmos13091345
http://aspace.agrif.bg.ac.rs/bitstream/id/24067/Fully_Dynamic_High_pub_2022.pdf
Description
Summary:Icelandic topsoil sediments, as confirmed by numerous scientific studies, represent the largest and the most important European source of mineral dust. Strong winds, connected with the intensive cyclonic circulation in the North Atlantic, induce intense emissions of mineral dust from local sources all year and carry away these fine aerosol particles for thousands of kilometers. Various impacts of airborne mineral dust particles on local air quality, human health, transportation, climate and marine ecosystems motivated us to design a fully dynamic coupled atmosphere–dust numerical modelling system in order to simulate, predict and quantify the Icelandic mineral dust process including: local measurements and source specification over Iceland. In this study, we used the Dust Regional Atmospheric Model (DREAM) with improved Icelandic high resolution dust source specification and implemented spatially variable particle size distribution, variable snow cover and soil wetness. Three case studies of intense short- and long-range transport were selected to evaluate the model performance. Results demonstrated the model’s capability to forecast major transport features, such as timing, and horizontal and vertical distribution of the processes. This modelling system can be used as an operational forecasting system, but also as a reliable tool for assessing climate and environmental Icelandic dust impacts. © 2022 by the authors.

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