TY  - JOUR
AU  - Vuković Vimić, Ana
AU  - Cvetković, Bojan
AU  - Giannaros, Theodore M.
AU  - Shahbazi, Reza
AU  - Sehat Kashani, Saviz
AU  - Prieto, Jose
AU  - Kotroni, Vassiliki
AU  - Lagouvardos, Konstantinos
AU  - Pejanović, Goran
AU  - Petković, Slavko
AU  - Nicković, Slobodan
AU  - Vujadinović Mandić, Mirjam
AU  - Basart, Sara
AU  - Darvishi Boloorani, Ali
AU  - Terradellas, Enric
PY  - 2021
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5921
AB  - 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.
PB  - MDPI
T2  - Atmosphere
T1  - Numerical simulation of Tehran dust storm on 2 june 2014: A case study of agricultural abandoned lands as emission sources
IS  - 8
SP  - 1054
VL  - 12
DO  - 10.3390/atmos12081054
ER  - 

@article{
author = "Vuković Vimić, Ana and Cvetković, Bojan and Giannaros, Theodore M. and Shahbazi, Reza and Sehat Kashani, Saviz and Prieto, Jose and Kotroni, Vassiliki and Lagouvardos, Konstantinos and Pejanović, Goran and Petković, Slavko and Nicković, Slobodan and Vujadinović Mandić, Mirjam and Basart, Sara and Darvishi Boloorani, Ali and Terradellas, Enric",
year = "2021",
abstract = "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.",
publisher = "MDPI",
journal = "Atmosphere",
title = "Numerical simulation of Tehran dust storm on 2 june 2014: A case study of agricultural abandoned lands as emission sources",
number = "8",
pages = "1054",
volume = "12",
doi = "10.3390/atmos12081054"
}

Vuković Vimić, A., Cvetković, B., Giannaros, T. M., Shahbazi, R., Sehat Kashani, S., Prieto, J., Kotroni, V., Lagouvardos, K., Pejanović, G., Petković, S., Nicković, S., Vujadinović Mandić, M., Basart, S., Darvishi Boloorani, A.,& Terradellas, E.. (2021). Numerical simulation of Tehran dust storm on 2 june 2014: A case study of agricultural abandoned lands as emission sources. in Atmosphere
MDPI., 12(8), 1054.
https://doi.org/10.3390/atmos12081054

Vuković Vimić A, Cvetković B, Giannaros TM, Shahbazi R, Sehat Kashani S, Prieto J, Kotroni V, Lagouvardos K, Pejanović G, Petković S, Nicković S, Vujadinović Mandić M, Basart S, Darvishi Boloorani A, Terradellas E. Numerical simulation of Tehran dust storm on 2 june 2014: A case study of agricultural abandoned lands as emission sources. in Atmosphere. 2021;12(8):1054.
doi:10.3390/atmos12081054 .

Vuković Vimić, Ana, Cvetković, Bojan, Giannaros, Theodore M., Shahbazi, Reza, Sehat Kashani, Saviz, Prieto, Jose, Kotroni, Vassiliki, Lagouvardos, Konstantinos, Pejanović, Goran, Petković, Slavko, Nicković, Slobodan, Vujadinović Mandić, Mirjam, Basart, Sara, Darvishi Boloorani, Ali, Terradellas, Enric, "Numerical simulation of Tehran dust storm on 2 june 2014: A case study of agricultural abandoned lands as emission sources" in Atmosphere, 12, no. 8 (2021):1054,
https://doi.org/10.3390/atmos12081054 . .

TY  - JOUR
AU  - Binietoglou, Ioannis
AU  - Basart, Sara
AU  - Alados-Arboledas, L.
AU  - Amiridis, V.
AU  - Argyrouli, A.
AU  - Baars, H.
AU  - Baldasano, Jose Maria
AU  - Balis, D.
AU  - Belegante, L.
AU  - Bravo-Aranda, J.A.
AU  - Burlizzi, P.
AU  - Carrasco, V.
AU  - Chaikovsky, A.
AU  - Comeron, Adolfo
AU  - D'Amico, Giuseppe
AU  - Filioglou, M.
AU  - Granados-Munoz, Maria Jose
AU  - Guerrero-Rascado, J.L.
AU  - Ilić, L.
AU  - Kokkalis, Panos
AU  - Maurizi, A.
AU  - Mona, L.
AU  - Monti, F.
AU  - Munoz-Porcar, Constantino
AU  - Nicolae, D.
AU  - Papayannis, Alexander
AU  - Pappalardo, Gelsomina
AU  - Pejanović, Goran
AU  - Pereira, S.N.
AU  - Perrone, M.R.
AU  - Pietruczuk, Aleksander
AU  - Posyniak, M.
AU  - Rocadenbosch, F.
AU  - Rodriguez-Gomez, A.
AU  - Sicard, M.
AU  - Siomos, N.
AU  - Szkop, A.
AU  - Terradellas, E.
AU  - Tsekeri, A.
AU  - Vuković, Ana
AU  - Wandinger, U.
AU  - Wagner, J.
PY  - 2015
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3669
AB  - Systematic measurements of dust concentration profiles at a continental scale were recently made possible by the development of synergistic retrieval algorithms using combined lidar and sun photometer data and the establishment of robust remote-sensing networks in the framework of Aerosols, Clouds, and Trace gases Research Infra-Structure Network (ACTRIS)/European Aerosol Research Lidar Network (EARLINET). We present a methodology for using these capabilities as a tool for examining the performance of dust transport models. The methodology includes considerations for the selection of a suitable data set and appropriate metrics for the exploration of the results. The approach is demonstrated for four regional dust transport models (BSC-DREAM8b v2, NMMB/BSC-DUST, DREAM-ABOL, DREAM8-NMME-MACC) using dust observations performed at 10 ACTRIS/EARLINET stations. The observations, which include coincident multi-wavelength lidar and sun photometer measurements, were processed with the Lidar-Radiometer Inversion Code (LIRIC) to retrieve aerosol concentration profiles. The methodology proposed here shows advantages when compared to traditional evaluation techniques that utilize separately the available measurements such as separating the contribution of dust from other aerosol types on the lidar profiles and avoiding model assumptions related to the conversion of concentration fields to aerosol extinction values. When compared to LIRIC retrievals, the simulated dust vertical structures were found to be in good agreement for all models with correlation values between 0.5 and 0.7 in the 1-6 km range, where most dust is typically observed. The absolute dust concentration was typically underestimated with mean bias values of -40 to -20 mu g m(-3) at 2 km, the altitude of maximum mean concentration. The reported differences among the models found in this comparison indicate the benefit of the systematic use of the proposed approach in future dust model evaluation studies.
PB  - Copernicus Gesellschaft Mbh, Gottingen
T2  - Atmospheric Measurement Techniques
T1  - A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals
EP  - 3600
IS  - 9
SP  - 3577
VL  - 8
DO  - 10.5194/amt-8-3577-2015
ER  - 

@article{
author = "Binietoglou, Ioannis and Basart, Sara and Alados-Arboledas, L. and Amiridis, V. and Argyrouli, A. and Baars, H. and Baldasano, Jose Maria and Balis, D. and Belegante, L. and Bravo-Aranda, J.A. and Burlizzi, P. and Carrasco, V. and Chaikovsky, A. and Comeron, Adolfo and D'Amico, Giuseppe and Filioglou, M. and Granados-Munoz, Maria Jose and Guerrero-Rascado, J.L. and Ilić, L. and Kokkalis, Panos and Maurizi, A. and Mona, L. and Monti, F. and Munoz-Porcar, Constantino and Nicolae, D. and Papayannis, Alexander and Pappalardo, Gelsomina and Pejanović, Goran and Pereira, S.N. and Perrone, M.R. and Pietruczuk, Aleksander and Posyniak, M. and Rocadenbosch, F. and Rodriguez-Gomez, A. and Sicard, M. and Siomos, N. and Szkop, A. and Terradellas, E. and Tsekeri, A. and Vuković, Ana and Wandinger, U. and Wagner, J.",
year = "2015",
abstract = "Systematic measurements of dust concentration profiles at a continental scale were recently made possible by the development of synergistic retrieval algorithms using combined lidar and sun photometer data and the establishment of robust remote-sensing networks in the framework of Aerosols, Clouds, and Trace gases Research Infra-Structure Network (ACTRIS)/European Aerosol Research Lidar Network (EARLINET). We present a methodology for using these capabilities as a tool for examining the performance of dust transport models. The methodology includes considerations for the selection of a suitable data set and appropriate metrics for the exploration of the results. The approach is demonstrated for four regional dust transport models (BSC-DREAM8b v2, NMMB/BSC-DUST, DREAM-ABOL, DREAM8-NMME-MACC) using dust observations performed at 10 ACTRIS/EARLINET stations. The observations, which include coincident multi-wavelength lidar and sun photometer measurements, were processed with the Lidar-Radiometer Inversion Code (LIRIC) to retrieve aerosol concentration profiles. The methodology proposed here shows advantages when compared to traditional evaluation techniques that utilize separately the available measurements such as separating the contribution of dust from other aerosol types on the lidar profiles and avoiding model assumptions related to the conversion of concentration fields to aerosol extinction values. When compared to LIRIC retrievals, the simulated dust vertical structures were found to be in good agreement for all models with correlation values between 0.5 and 0.7 in the 1-6 km range, where most dust is typically observed. The absolute dust concentration was typically underestimated with mean bias values of -40 to -20 mu g m(-3) at 2 km, the altitude of maximum mean concentration. The reported differences among the models found in this comparison indicate the benefit of the systematic use of the proposed approach in future dust model evaluation studies.",
publisher = "Copernicus Gesellschaft Mbh, Gottingen",
journal = "Atmospheric Measurement Techniques",
title = "A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals",
pages = "3600-3577",
number = "9",
volume = "8",
doi = "10.5194/amt-8-3577-2015"
}

Binietoglou, I., Basart, S., Alados-Arboledas, L., Amiridis, V., Argyrouli, A., Baars, H., Baldasano, J. M., Balis, D., Belegante, L., Bravo-Aranda, J.A., Burlizzi, P., Carrasco, V., Chaikovsky, A., Comeron, A., D'Amico, G., Filioglou, M., Granados-Munoz, M. J., Guerrero-Rascado, J.L., Ilić, L., Kokkalis, P., Maurizi, A., Mona, L., Monti, F., Munoz-Porcar, C., Nicolae, D., Papayannis, A., Pappalardo, G., Pejanović, G., Pereira, S.N., Perrone, M.R., Pietruczuk, A., Posyniak, M., Rocadenbosch, F., Rodriguez-Gomez, A., Sicard, M., Siomos, N., Szkop, A., Terradellas, E., Tsekeri, A., Vuković, A., Wandinger, U.,& Wagner, J.. (2015). A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals. in Atmospheric Measurement Techniques
Copernicus Gesellschaft Mbh, Gottingen., 8(9), 3577-3600.
https://doi.org/10.5194/amt-8-3577-2015

Binietoglou I, Basart S, Alados-Arboledas L, Amiridis V, Argyrouli A, Baars H, Baldasano JM, Balis D, Belegante L, Bravo-Aranda J, Burlizzi P, Carrasco V, Chaikovsky A, Comeron A, D'Amico G, Filioglou M, Granados-Munoz MJ, Guerrero-Rascado J, Ilić L, Kokkalis P, Maurizi A, Mona L, Monti F, Munoz-Porcar C, Nicolae D, Papayannis A, Pappalardo G, Pejanović G, Pereira S, Perrone M, Pietruczuk A, Posyniak M, Rocadenbosch F, Rodriguez-Gomez A, Sicard M, Siomos N, Szkop A, Terradellas E, Tsekeri A, Vuković A, Wandinger U, Wagner J. A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals. in Atmospheric Measurement Techniques. 2015;8(9):3577-3600.
doi:10.5194/amt-8-3577-2015 .

Binietoglou, Ioannis, Basart, Sara, Alados-Arboledas, L., Amiridis, V., Argyrouli, A., Baars, H., Baldasano, Jose Maria, Balis, D., Belegante, L., Bravo-Aranda, J.A., Burlizzi, P., Carrasco, V., Chaikovsky, A., Comeron, Adolfo, D'Amico, Giuseppe, Filioglou, M., Granados-Munoz, Maria Jose, Guerrero-Rascado, J.L., Ilić, L., Kokkalis, Panos, Maurizi, A., Mona, L., Monti, F., Munoz-Porcar, Constantino, Nicolae, D., Papayannis, Alexander, Pappalardo, Gelsomina, Pejanović, Goran, Pereira, S.N., Perrone, M.R., Pietruczuk, Aleksander, Posyniak, M., Rocadenbosch, F., Rodriguez-Gomez, A., Sicard, M., Siomos, N., Szkop, A., Terradellas, E., Tsekeri, A., Vuković, Ana, Wandinger, U., Wagner, J., "A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals" in Atmospheric Measurement Techniques, 8, no. 9 (2015):3577-3600,
https://doi.org/10.5194/amt-8-3577-2015 . .

TY  - JOUR
AU  - Sprigg, William A.
AU  - Nicković, Slobodan
AU  - Galgiani, John N.
AU  - Pejanović, Goran
AU  - Petković, Slavko
AU  - Vujadinović, Mirjam
AU  - Vuković, Ana
AU  - Dacić, Milan
AU  - DiBiase, Scott
AU  - Prasad, Anup
AU  - El-Askary, Hesham
PY  - 2014
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3460
AB  - On 5 July 2011, a massive dust storm struck Phoenix, Arizona (USA), raising concerns for increased cases of valley fever (coccidioidomycosis, or, cocci). A quasi-operational experimental airborne dust forecast system predicted the event and provides model output for continuing analysis in collaboration with public health and air quality communities. An objective of this collaboration was to see if a signal in cases of valley fever in the region could be detected and traced to the storm - an American haboob. To better understand the atmospheric life cycle of cocci spores, the DREAM dust model (also herein, NMME-DREAM) was modified to simulate spore emission, transport and deposition. Inexact knowledge of where cocci-causing fungus grows, the low resolution of cocci surveillance and an overall active period for significant dust events complicate analysis of the effect of the 5 July 2011 storm. In the larger context of monthly to annual disease surveillance, valley fever statistics, when compared against PM10 observation networks and modeled airborne dust concentrations, may reveal a likely cause and effect. Details provided by models and satellites fill time and space voids in conventional approaches to air quality and disease surveillance, leading to land-atmosphere modeling and remote sensing that clearly mark a path to advance valley fever epidemiology, surveillance and risk avoidance.
PB  - Elsevier Sci Ltd, Oxford
T2  - Aeolian Research
T1  - Regional dust storm modeling for health services: The case of valley fever
EP  - 73
SP  - 53
VL  - 14
DO  - 10.1016/j.aeolia.2014.03.001
ER  - 

@article{
author = "Sprigg, William A. and Nicković, Slobodan and Galgiani, John N. and Pejanović, Goran and Petković, Slavko and Vujadinović, Mirjam and Vuković, Ana and Dacić, Milan and DiBiase, Scott and Prasad, Anup and El-Askary, Hesham",
year = "2014",
abstract = "On 5 July 2011, a massive dust storm struck Phoenix, Arizona (USA), raising concerns for increased cases of valley fever (coccidioidomycosis, or, cocci). A quasi-operational experimental airborne dust forecast system predicted the event and provides model output for continuing analysis in collaboration with public health and air quality communities. An objective of this collaboration was to see if a signal in cases of valley fever in the region could be detected and traced to the storm - an American haboob. To better understand the atmospheric life cycle of cocci spores, the DREAM dust model (also herein, NMME-DREAM) was modified to simulate spore emission, transport and deposition. Inexact knowledge of where cocci-causing fungus grows, the low resolution of cocci surveillance and an overall active period for significant dust events complicate analysis of the effect of the 5 July 2011 storm. In the larger context of monthly to annual disease surveillance, valley fever statistics, when compared against PM10 observation networks and modeled airborne dust concentrations, may reveal a likely cause and effect. Details provided by models and satellites fill time and space voids in conventional approaches to air quality and disease surveillance, leading to land-atmosphere modeling and remote sensing that clearly mark a path to advance valley fever epidemiology, surveillance and risk avoidance.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Aeolian Research",
title = "Regional dust storm modeling for health services: The case of valley fever",
pages = "73-53",
volume = "14",
doi = "10.1016/j.aeolia.2014.03.001"
}

Sprigg, W. A., Nicković, S., Galgiani, J. N., Pejanović, G., Petković, S., Vujadinović, M., Vuković, A., Dacić, M., DiBiase, S., Prasad, A.,& El-Askary, H.. (2014). Regional dust storm modeling for health services: The case of valley fever. in Aeolian Research
Elsevier Sci Ltd, Oxford., 14, 53-73.
https://doi.org/10.1016/j.aeolia.2014.03.001

Sprigg WA, Nicković S, Galgiani JN, Pejanović G, Petković S, Vujadinović M, Vuković A, Dacić M, DiBiase S, Prasad A, El-Askary H. Regional dust storm modeling for health services: The case of valley fever. in Aeolian Research. 2014;14:53-73.
doi:10.1016/j.aeolia.2014.03.001 .

Sprigg, William A., Nicković, Slobodan, Galgiani, John N., Pejanović, Goran, Petković, Slavko, Vujadinović, Mirjam, Vuković, Ana, Dacić, Milan, DiBiase, Scott, Prasad, Anup, El-Askary, Hesham, "Regional dust storm modeling for health services: The case of valley fever" in Aeolian Research, 14 (2014):53-73,
https://doi.org/10.1016/j.aeolia.2014.03.001 . .

TY  - JOUR
AU  - Vuković, Ana
AU  - Vujadinović, Mirjam
AU  - Pejanović, Goran
AU  - Andrić, J.
AU  - Kumjian, M.R.
AU  - Djurdjević, V.
AU  - Dacić, M.
AU  - Prasad, A.K.
AU  - El-Askary, Hesham
AU  - Paris, B.C.
AU  - Petković, S.
AU  - Nicković, Slobodan
AU  - Sprigg, W.A.
PY  - 2014
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3538
AB  - A dust storm of fearful proportions hit Phoenix in the early evening hours of 5 July 2011. This storm, an American haboob, was predicted hours in advance because numerical, land-atmosphere modeling, computing power and remote sensing of dust events have improved greatly over the past decade. High-resolution numerical models are required for accurate simulation of the small scales of the haboob process, with high velocity surface winds produced by strong convection and severe downbursts. Dust productive areas in this region consist mainly of agricultural fields, with soil surfaces disturbed by plowing and tracks of land in the high Sonoran Desert laid barren by ongoing draught. Model simulation of the 5 July 2011 dust storm uses the coupled atmospheric-dust model NMME-DREAM (Non-hydrostatic Mesoscale Model on E grid, Janjic et al., 2001; Dust REgional Atmospheric Model, Nickovic et al., 2001; Perez et al., 2006) with 4 km horizontal resolution. A mask of the potentially dust productive regions is obtained from the land cover and the normalized difference vegetation index (NDVI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS). The scope of this paper is validation of the dust model performance, and not use of the model as a tool to investigate mechanisms related to the storm. Results demonstrate the potential technical capacity and availability of the relevant data to build an operational system for dust storm forecasting as a part of a warning system. Model results are compared with radar and other satellite-based images and surface meteorological and PM10 observations. The atmospheric model successfully hindcasted the position of the front in space and time, with about 1 h late arrival in Phoenix. The dust model predicted the rapid uptake of dust and high values of dust concentration in the ensuing storm. South of Phoenix, over the closest source regions (similar to 25 km), the model PM10 surface dust concentration reached similar to 2500 mu g m(-3), but underestimated the values measured by the PM10 stations within the city. Model results are also validated by the MODIS aerosol optical depth (AOD), employing deep blue (DB) algorithms for aerosol loadings. Model validation included Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), equipped with the lidar instrument, to disclose the vertical structure of dust aerosols as well as aerosol subtypes. Promising results encourage further research and application of high-resolution modeling and satellite-based remote sensing to warn of approaching severe dust events and reduce risks for safety and health.
PB  - Copernicus Gesellschaft Mbh, Gottingen
T2  - Atmospheric Chemistry and Physics
T1  - Numerical simulation of "an American haboob"
EP  - 3230
IS  - 7
SP  - 3211
VL  - 14
DO  - 10.5194/acp-14-3211-2014
ER  - 

@article{
author = "Vuković, Ana and Vujadinović, Mirjam and Pejanović, Goran and Andrić, J. and Kumjian, M.R. and Djurdjević, V. and Dacić, M. and Prasad, A.K. and El-Askary, Hesham and Paris, B.C. and Petković, S. and Nicković, Slobodan and Sprigg, W.A.",
year = "2014",
abstract = "A dust storm of fearful proportions hit Phoenix in the early evening hours of 5 July 2011. This storm, an American haboob, was predicted hours in advance because numerical, land-atmosphere modeling, computing power and remote sensing of dust events have improved greatly over the past decade. High-resolution numerical models are required for accurate simulation of the small scales of the haboob process, with high velocity surface winds produced by strong convection and severe downbursts. Dust productive areas in this region consist mainly of agricultural fields, with soil surfaces disturbed by plowing and tracks of land in the high Sonoran Desert laid barren by ongoing draught. Model simulation of the 5 July 2011 dust storm uses the coupled atmospheric-dust model NMME-DREAM (Non-hydrostatic Mesoscale Model on E grid, Janjic et al., 2001; Dust REgional Atmospheric Model, Nickovic et al., 2001; Perez et al., 2006) with 4 km horizontal resolution. A mask of the potentially dust productive regions is obtained from the land cover and the normalized difference vegetation index (NDVI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS). The scope of this paper is validation of the dust model performance, and not use of the model as a tool to investigate mechanisms related to the storm. Results demonstrate the potential technical capacity and availability of the relevant data to build an operational system for dust storm forecasting as a part of a warning system. Model results are compared with radar and other satellite-based images and surface meteorological and PM10 observations. The atmospheric model successfully hindcasted the position of the front in space and time, with about 1 h late arrival in Phoenix. The dust model predicted the rapid uptake of dust and high values of dust concentration in the ensuing storm. South of Phoenix, over the closest source regions (similar to 25 km), the model PM10 surface dust concentration reached similar to 2500 mu g m(-3), but underestimated the values measured by the PM10 stations within the city. Model results are also validated by the MODIS aerosol optical depth (AOD), employing deep blue (DB) algorithms for aerosol loadings. Model validation included Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), equipped with the lidar instrument, to disclose the vertical structure of dust aerosols as well as aerosol subtypes. Promising results encourage further research and application of high-resolution modeling and satellite-based remote sensing to warn of approaching severe dust events and reduce risks for safety and health.",
publisher = "Copernicus Gesellschaft Mbh, Gottingen",
journal = "Atmospheric Chemistry and Physics",
title = "Numerical simulation of "an American haboob"",
pages = "3230-3211",
number = "7",
volume = "14",
doi = "10.5194/acp-14-3211-2014"
}

Vuković, A., Vujadinović, M., Pejanović, G., Andrić, J., Kumjian, M.R., Djurdjević, V., Dacić, M., Prasad, A.K., El-Askary, H., Paris, B.C., Petković, S., Nicković, S.,& Sprigg, W.A.. (2014). Numerical simulation of "an American haboob". in Atmospheric Chemistry and Physics
Copernicus Gesellschaft Mbh, Gottingen., 14(7), 3211-3230.
https://doi.org/10.5194/acp-14-3211-2014

Vuković A, Vujadinović M, Pejanović G, Andrić J, Kumjian M, Djurdjević V, Dacić M, Prasad A, El-Askary H, Paris B, Petković S, Nicković S, Sprigg W. Numerical simulation of "an American haboob". in Atmospheric Chemistry and Physics. 2014;14(7):3211-3230.
doi:10.5194/acp-14-3211-2014 .

Vuković, Ana, Vujadinović, Mirjam, Pejanović, Goran, Andrić, J., Kumjian, M.R., Djurdjević, V., Dacić, M., Prasad, A.K., El-Askary, Hesham, Paris, B.C., Petković, S., Nicković, Slobodan, Sprigg, W.A., "Numerical simulation of "an American haboob"" in Atmospheric Chemistry and Physics, 14, no. 7 (2014):3211-3230,
https://doi.org/10.5194/acp-14-3211-2014 . .

TY  - JOUR
AU  - Nicković, Slobodan
AU  - Vuković, Ana
AU  - Vujadinović, Mirjam
AU  - Djurdjević, V.
AU  - Pejanović, Goran
PY  - 2012
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/2995
AB  - Dust storms and associated mineral aerosol transport are driven primarily by meso- and synoptic-scale atmospheric processes. It is therefore essential that the dust aerosol process and BACKGROUND:  atmospheric conditions that drive dust emissions and atmospheric transport are represented with sufficiently well-resolved spatial and temporal features. The effects of airborne dust interactions with the environment determine the mineral composition of dust particles. The fractions of various minerals in aerosol are determined by the mineral composition of arid soils; therefore, a high-resolution specification of the mineral and physical properties of dust sources is needed. Several current dust atmospheric models simulate and predict the evolution of dust concentrations; however, in most cases, these models do not consider the fractions of minerals in the dust. The accumulated knowledge about the impacts of the mineral composition in dust on weather and climate processes emphasizes the importance of including minerals in modeling systems. Accordingly, in this study, we developed a global dataset consisting of the mineral composition of the current potentially dust-producing soils. In our study, we (a) mapped mineral data to a high-resolution 30 s grid, (b) included several mineral-carrying soil types in dust-productive regions that were not considered in previous studies, and
PB  - Copernicus Gesellschaft Mbh, Gottingen
T2  - Atmospheric Chemistry and Physics
T1  - Technical Note: High-resolution mineralogical database of dust-productive soils for atmospheric dust modeling
EP  - 855
IS  - 2
SP  - 845
VL  - 12
DO  - 10.5194/acp-12-845-2012
ER  - 

@article{
author = "Nicković, Slobodan and Vuković, Ana and Vujadinović, Mirjam and Djurdjević, V. and Pejanović, Goran",
year = "2012",
abstract = "Dust storms and associated mineral aerosol transport are driven primarily by meso- and synoptic-scale atmospheric processes. It is therefore essential that the dust aerosol process and BACKGROUND:  atmospheric conditions that drive dust emissions and atmospheric transport are represented with sufficiently well-resolved spatial and temporal features. The effects of airborne dust interactions with the environment determine the mineral composition of dust particles. The fractions of various minerals in aerosol are determined by the mineral composition of arid soils; therefore, a high-resolution specification of the mineral and physical properties of dust sources is needed. Several current dust atmospheric models simulate and predict the evolution of dust concentrations; however, in most cases, these models do not consider the fractions of minerals in the dust. The accumulated knowledge about the impacts of the mineral composition in dust on weather and climate processes emphasizes the importance of including minerals in modeling systems. Accordingly, in this study, we developed a global dataset consisting of the mineral composition of the current potentially dust-producing soils. In our study, we (a) mapped mineral data to a high-resolution 30 s grid, (b) included several mineral-carrying soil types in dust-productive regions that were not considered in previous studies, and",
publisher = "Copernicus Gesellschaft Mbh, Gottingen",
journal = "Atmospheric Chemistry and Physics",
title = "Technical Note: High-resolution mineralogical database of dust-productive soils for atmospheric dust modeling",
pages = "855-845",
number = "2",
volume = "12",
doi = "10.5194/acp-12-845-2012"
}

Nicković, S., Vuković, A., Vujadinović, M., Djurdjević, V.,& Pejanović, G.. (2012). Technical Note: High-resolution mineralogical database of dust-productive soils for atmospheric dust modeling. in Atmospheric Chemistry and Physics
Copernicus Gesellschaft Mbh, Gottingen., 12(2), 845-855.
https://doi.org/10.5194/acp-12-845-2012

Nicković S, Vuković A, Vujadinović M, Djurdjević V, Pejanović G. Technical Note: High-resolution mineralogical database of dust-productive soils for atmospheric dust modeling. in Atmospheric Chemistry and Physics. 2012;12(2):845-855.
doi:10.5194/acp-12-845-2012 .

Nicković, Slobodan, Vuković, Ana, Vujadinović, Mirjam, Djurdjević, V., Pejanović, Goran, "Technical Note: High-resolution mineralogical database of dust-productive soils for atmospheric dust modeling" in Atmospheric Chemistry and Physics, 12, no. 2 (2012):845-855,
https://doi.org/10.5194/acp-12-845-2012 . .