Articles

Rolling vs. seasonal PMF: real world multi-site and synthetic dataset comparison

Via, M., Chen, G., Canonaco, F., Daellenbach, K. R., Chazeau, B., Chebaicheb, H., Jiang, J., Keernik, H., Lin, C., Marchand, N., Marin, C., O’Dowd, C., Ovadnevaite, J., Petit, J.-E., Pikridas, M., Riffault, V., Sciare, J., Slowik, J. G., Simon, L., Vasilescu, J., Zhang, Y., Favez, O., Prévôt, A. S. H., Alastuey, A., & Cruz Minguillón, […]

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European aerosol phenomenology–8: Harmonised source apportionment of organic aerosol using 22 year long ACSM/AMS datasets

Chen, G., Canonaco, F., Tobler, A., Aas, W., Alastuey, A., Allan, J., Atabakhsh, S., Aurela, M., Baltensperger, U., Bougiatioti, A., De Brito, J. F., Ceburnis, D., Chazeau, B., Chebaicheb, H., Daellenbach, K. R., Ehn, M., El Haddad, I., Eleftheriadis, K., Favez, O., Flentje, H., Font, A., Fossum, K., Freney, E., Gini, M., Green, D. C.,

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Methodology for lidar monitoring of biomass burning smoke in connection with the land cover

Adam, M., Fragkos, K., Solomos, S., Belegante, L., Andrei, S., Tălianu, C., Mărmureanu, L., Antonescu, B., Ene, D., Nicolae, V., & Amiridis, V. (2022). Methodology for lidar monitoring of biomass burning smoke in connection with the land cover. Remote Sensing, 14(19), 4734. https://doi.org/10.3390/rs14194734

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Towards early detection of tropospheric aerosol layers using monitoring with ceilometer, photometer, and air mass trajectories

Adam, M., Fragkos, K., Binietoglou, I., Wang, D., Stachlewska, I. S., Belegante, L., & Nicolae, V. (2022). Towards early detection of tropospheric aerosol layers using monitoring with ceilometer, photometer, and air mass trajectories. Remote Sensing, 14(5), 1217. https://doi.org/10.3390/rs14051217

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A novel method of identifying and analysing oil smoke plumes based on MODIS and CALIPSO satellite data

Mereuță, A., Ajtai, N., Radovici, A. T., Papagiannopoulos, N., Deaconu, L. T., Botezan, C. S., Ștefănie, H. I., Nicolae, D., & Ozunu, A. (2022). A novel method of identifying and analysing oil smoke plumes based on MODIS and CALIPSO satellite data. Atmospheric Chemistry and Physics, 22(7), 5071–5098. https://doi.org/10.5194/acp-22-5071-2022

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Polarization lidar for detecting dust orientation: system design and calibration

Tsekeri, A., Amiridis, V., Louridas, A., Georgoussis, G., Freudenthaler, V., Metallinos, S., Doxastakis, G., Gasteiger, J., Siomos, N., Paschou, P., Georgiou, T., Tsaknakis, G., Evangelatos, C., & Binietoglou, I. (2021). Polarization lidar for detecting dust orientation: system design and calibration. Atmospheric Measurement Techniques, 14(12), 7453–7474. https://doi.org/10.5194/amt-14-7453-2021

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A decade of Poland AOD aerosol research network observations

Markowicz, K. M., Stachlewska, I. S., Zawadzka-Manko, O., Wang, D., Kumala, W., Chilinski, M. T., Makuch, P., Markuszewski, P., Rozwadowska, A. K., Petelski, T., Zielinski, T., Posyniak, M., Kaminski, J. W., Szkop, A., Pietruczuk, A., Chojnicki, B. H., Harenda, K. M., Poczta, P., Uscka-Kowalkowska, J., Struzewska, J., Werner, M., Kryza, M., Drzeniecka-Osiadacz, A., Sawinski, T.,

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Six‑year monitoring of atmospheric pollen and major air pollutant concentrations in relation to meteorological factors in Bucharest, Romania

Rosianu, A. M., Leru, P. M., Ștefan, S., Iorga, G., & Mărmureanu, L. (2022). Six‑year monitoring of atmospheric pollen and major air pollutant concentrations in relation to meteorological factors in Bucharest, Romania. Romanian Reports in Physics, 74, Article 703.

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