TY  - JOUR
AU  - Nemuc, A.
AU  - Basart, Sara
AU  - Tobias, A.
AU  - Nicković, Slobodan
AU  - Barnaba, F.
AU  - Kazadzis, S.
AU  - Mona, L.
AU  - Amiridis, V.
AU  - Vuković, Ana
AU  - Christel, I.J.
AU  - Waldhauserová, P.D.
AU  - Waldhauserová, P.D.
AU  - Monteiro, A.
PY  - 2020
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5440
AB  - Amongst the most significant extreme meteorological phenomena are the Sand and Dust Storms (SDS). Owing to significant amounts of airborne mineral dust particles generated during these events, SDS have impacts on climate, the environment, human health, and many socio-economic sectors (e.g. aviation, solar energy management). Many studies and reports have underlined that the society has to understand, manage and mitigate the risks and effects of SDS on life, health, property, the environment and the economy in a more unified way. The EU-funded European Cooperation in Science and Technology (COST) Action 'InDust: International network to encourage the use of monitoring and forecasting Dust products' has an overall objective to establish a network involving research institutions, service providers and potential end users on airborne dust information. We are a multidisciplinary group of international experts on aerosol measurements, aerosol modelling, stakeholders and social scientists working together, exchanging ideas to better coordinate and harmonize the process of transferring dust observation and prediction data to users, as well as to assist the diverse socio-economic sectors affected by the presence of high concentrations of airborne mineral dust. This article highlights the importance of being actively engaged in research networking activities, supported by EU and COST actions since common efforts help not only each scientist by shaping their expertise and strengthening their position, but also all communities.
PB  - Cambridge University Press
T2  - European Review
T1  - COST Lecture 2019 AE GM Barcelona: International Network to Encourage the Use of Monitoring and Forecasting Dust Products (InDust)
DO  - 10.1017/S1062798720000733
ER  - 

@article{
author = "Nemuc, A. and Basart, Sara and Tobias, A. and Nicković, Slobodan and Barnaba, F. and Kazadzis, S. and Mona, L. and Amiridis, V. and Vuković, Ana and Christel, I.J. and Waldhauserová, P.D. and Waldhauserová, P.D. and Monteiro, A.",
year = "2020",
abstract = "Amongst the most significant extreme meteorological phenomena are the Sand and Dust Storms (SDS). Owing to significant amounts of airborne mineral dust particles generated during these events, SDS have impacts on climate, the environment, human health, and many socio-economic sectors (e.g. aviation, solar energy management). Many studies and reports have underlined that the society has to understand, manage and mitigate the risks and effects of SDS on life, health, property, the environment and the economy in a more unified way. The EU-funded European Cooperation in Science and Technology (COST) Action 'InDust: International network to encourage the use of monitoring and forecasting Dust products' has an overall objective to establish a network involving research institutions, service providers and potential end users on airborne dust information. We are a multidisciplinary group of international experts on aerosol measurements, aerosol modelling, stakeholders and social scientists working together, exchanging ideas to better coordinate and harmonize the process of transferring dust observation and prediction data to users, as well as to assist the diverse socio-economic sectors affected by the presence of high concentrations of airborne mineral dust. This article highlights the importance of being actively engaged in research networking activities, supported by EU and COST actions since common efforts help not only each scientist by shaping their expertise and strengthening their position, but also all communities.",
publisher = "Cambridge University Press",
journal = "European Review",
title = "COST Lecture 2019 AE GM Barcelona: International Network to Encourage the Use of Monitoring and Forecasting Dust Products (InDust)",
doi = "10.1017/S1062798720000733"
}

Nemuc, A., Basart, S., Tobias, A., Nicković, S., Barnaba, F., Kazadzis, S., Mona, L., Amiridis, V., Vuković, A., Christel, I.J., Waldhauserová, P.D., Waldhauserová, P.D.,& Monteiro, A.. (2020). COST Lecture 2019 AE GM Barcelona: International Network to Encourage the Use of Monitoring and Forecasting Dust Products (InDust). in European Review
Cambridge University Press..
https://doi.org/10.1017/S1062798720000733

Nemuc A, Basart S, Tobias A, Nicković S, Barnaba F, Kazadzis S, Mona L, Amiridis V, Vuković A, Christel I, Waldhauserová P, Waldhauserová P, Monteiro A. COST Lecture 2019 AE GM Barcelona: International Network to Encourage the Use of Monitoring and Forecasting Dust Products (InDust). in European Review. 2020;.
doi:10.1017/S1062798720000733 .

Nemuc, A., Basart, Sara, Tobias, A., Nicković, Slobodan, Barnaba, F., Kazadzis, S., Mona, L., Amiridis, V., Vuković, Ana, Christel, I.J., Waldhauserová, P.D., Waldhauserová, P.D., Monteiro, A., "COST Lecture 2019 AE GM Barcelona: International Network to Encourage the Use of Monitoring and Forecasting Dust Products (InDust)" in European Review (2020),
https://doi.org/10.1017/S1062798720000733 . .

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 . .