National Observatory of Athens (NOA), Institute for Environmental Research and Sustainable Development, Vas. Pavlou & I. Metaxa, 15236 Penteli, Greece
Konstantinos Lagouvardos
National Observatory of Athens (NOA), Institute for Environmental Research and Sustainable Development, Vas. Pavlou & I. Metaxa, 15236 Penteli, Greece
Goran Pejanovic
Republic Hydrometeorological Service of Serbia (RHMSS), Bulevar Oslobodjenja 8, 11000 Belgrade, Serbia
Slavko Petkovic
Republic Hydrometeorological Service of Serbia (RHMSS), Bulevar Oslobodjenja 8, 11000 Belgrade, Serbia
Slobodan Nickovic
Republic Hydrometeorological Service of Serbia (RHMSS), Bulevar Oslobodjenja 8, 11000 Belgrade, Serbia
Mirjam Vujadinovic Mandic
Faculty of Agriculture, University of Belgrade, Nemanjina 6, 11080 Belgrade, Serbia
Sara Basart
Earth Sciences Department, Barcelona Supercomputing Center-Centro Nacional de Supercomputación (BSC-CNS), Plaça Eusebi Güell 1-3, 08034 Barcelona, Spain
Ali Darvishi Boloorani
Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Azin Alley. 50, Vesal Str., Tehran 1417853933, Iran
Enric Terradellas
State Meteorological Agency (AEMET), Arquitecte Sert, 1, 08005 Barcelona, Spain
On 2 June 2014, at about 13 UTC, a dust storm arrived in Tehran as a severe hazard that caused injures, deaths, failures in power supply, and traffic disruption. Such an extreme event is not considered as common for the Tehran area, which has raised the question of the dust storm’s origin and the need for increasing citizens’ preparedness during such events. The analysis of the observational data and numerical simulations using coupled dust-atmospheric models showed that intensive convective activity occurred over the south and southwest of Tehran, which produced cold downdrafts and, consequently, high-velocity surface winds. Different dust source masks were used as an input for model hindcasts of the event (forecasts of the past event) to show the capability of the numerical models to perform high-quality forecasts in such events and to expand the knowledge on the storm’s formation and progression. In addition to the proven capability of the models, if engaged in operational use to contribute to the establishment of an early warning system for dust storms, another conclusion appeared as a highlight of this research: abandoned agricultural areas south of Tehran were responsible for over 50% of the airborne dust concentration within the dust storm that surged through Tehran. Such a dust source in the numerical simulation produced a PM10 surface dust concentration of several thousand μm/m3, which classifies it as a dust source hot-spot. The produced evidence indivisibly links issues of land degradation, extreme weather, environmental protection, and health and safety.