Fully Dynamic High–Resolution Model for Dispersion of Icelandic Airborne Mineral Dust
Authors
Cvetkovic, BojanDagsson-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
Article (Published version)
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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 stud...ies 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.
Keywords:
coupled atmospheric–dust model / dust sources / high latitude dust / Icelandic soils and sediments / volcanic glassSource:
Atmosphere, 2022, 13, 9Funding / projects:
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200116 (University of Belgrade, Faculty of Agriculture) (RS-MESTD-inst-2020-200116)
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Poljoprivredni fakultetTY - JOUR AU - Cvetkovic, Bojan AU - Dagsson-Waldhauserová, Pavla AU - Petkovic, Slavko AU - Arnalds, Ólafur AU - Madonna, Fabio AU - Proestakis, Emmanouil AU - Gkikas, Antonis AU - Vukovic Vimic, Ana AU - Pejanovic, Goran AU - Rosoldi, Marco AU - Ceburnis, Darius AU - Amiridis, Vassilis AU - Lisá, Lenka AU - Nickovic, Slobodan AU - Nikolic, Jugoslav PY - 2022 UR - http://aspace.agrif.bg.ac.rs/handle/123456789/6184 AB - 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. T2 - Atmosphere T2 - Atmosphere T1 - Fully Dynamic High–Resolution Model for Dispersion of Icelandic Airborne Mineral Dust IS - 9 VL - 13 DO - 10.3390/atmos13091345 ER -
@article{ author = "Cvetkovic, Bojan and Dagsson-Waldhauserová, Pavla and Petkovic, Slavko and Arnalds, Ólafur and Madonna, Fabio and Proestakis, Emmanouil and Gkikas, Antonis and Vukovic Vimic, Ana and Pejanovic, Goran and Rosoldi, Marco and Ceburnis, Darius and Amiridis, Vassilis and Lisá, Lenka and Nickovic, Slobodan and Nikolic, Jugoslav", year = "2022", 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. © 2022 by the authors.", journal = "Atmosphere, Atmosphere", title = "Fully Dynamic High–Resolution Model for Dispersion of Icelandic Airborne Mineral Dust", number = "9", volume = "13", doi = "10.3390/atmos13091345" }
Cvetkovic, B., Dagsson-Waldhauserová, P., Petkovic, S., Arnalds, Ó., Madonna, F., Proestakis, E., Gkikas, A., Vukovic Vimic, A., Pejanovic, G., Rosoldi, M., Ceburnis, D., Amiridis, V., Lisá, L., Nickovic, S.,& Nikolic, J.. (2022). Fully Dynamic High–Resolution Model for Dispersion of Icelandic Airborne Mineral Dust. in Atmosphere, 13(9). https://doi.org/10.3390/atmos13091345
Cvetkovic B, Dagsson-Waldhauserová P, Petkovic S, Arnalds Ó, Madonna F, Proestakis E, Gkikas A, Vukovic Vimic A, Pejanovic G, Rosoldi M, Ceburnis D, Amiridis V, Lisá L, Nickovic S, Nikolic J. Fully Dynamic High–Resolution Model for Dispersion of Icelandic Airborne Mineral Dust. in Atmosphere. 2022;13(9). doi:10.3390/atmos13091345 .
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, "Fully Dynamic High–Resolution Model for Dispersion of Icelandic Airborne Mineral Dust" in Atmosphere, 13, no. 9 (2022), https://doi.org/10.3390/atmos13091345 . .