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

  • Bojan Cvetkovic
  • , Pavla Dagsson-Waldhauserová
  • , Slavko Petkovic
  • , Ólafur Arnalds
  • , Fabio Madonna
  • , Emmanouil Proestakis
  • , Antonis Gkikas
  • , Ana Vukovic Vimic
  • , Goran Pejanovic
  • , Marco Rosoldi
  • , Darius Ceburnis
  • , Vassilis Amiridis
  • , Lenka Lisá
  • , Slobodan Nickovic
  • , Jugoslav Nikolic

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number1345
JournalAtmosphere
Volume13
Issue number9
DOIs
Publication statusPublished - Sep 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Icelandic soils and sediments
  • coupled atmospheric–dust model
  • dust sources
  • high latitude dust
  • volcanic glass

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