Articles

Ground‑based measurements of cloud properties at the Bucharest–Măgurele Cloudnet Station: First results

Pîrloagă, R., Ene, D., Boldeanu, M., Antonescu, B., O’Connor, E. J., & Ștefan, S. (2022). Ground‑based measurements of cloud properties at the Bucharest–Măgurele Cloudnet Station: First results. Atmosphere, 13(9), 1445. https://doi.org/10.3390/atmos13091445

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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

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

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

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

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

Polarization lidar for detecting dust orientation: system design and calibration Read More »

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