TY  - 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 . .

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 . .