Journal papers in 2022

  1. Abril-Gago, J., Guerrero-Rascado, J. L., Costa, M. J., Bravo-Aranda, J. A., Sicard, M., Bermejo-Pantaleón, D., Bortoli, D., Granados-Muñoz, M. J., Rodríguez-Gómez, A., Muñoz-Porcar, C., Comerón, A., Ortiz-Amezcua, P., Salgueiro, V., Jiménez-Martín, M. M., and Alados-Arboledas, L.: Statistical validation of Aeolus L2A particle backscatter coefficient retrievals over ACTRIS/EARLINET stations on the Iberian Peninsula, Atmos. Chem. Phys., 22, 1425–1451,, 2022
  2. De Marco, C., Boselli, A., D’Anna, A., Sannino, A., Sasso, G., Sirignano, M., Spinelli, N. and Wang, X., Mutiparametric Characterization of Atmospheric Particulate in a Heavy-Polluted Area of South Italy, Atmospheric and Climate Sciences, 12, 493-516. doi: 10.4236/acs.2022.122029, 2022.

  3. De Rosa, B.; Amato, F.; Amodeo, A.; D’Amico, G.; Dema, C.; Falconieri, A.; Giunta, A.; Gumà-Claramunt, P.; Kampouri, A.; Solomos, S.; Mytilinaios, M.; Papagiannopoulos, N.; Summa, D.; Veselovskii, I.; Mona, L. Characterization of Extremely Fresh Biomass Burning Aerosol by Means of Lidar Observations. Remote Sens. 14, 4984., 2022.

  4. Ehlers, F., Flament, T., Dabas, A., Trapon, D., Lacour, A., Baars, H., and Straume-Lindner, A. G.: Optimization of Aeolus' aerosol optical properties by maximum-likelihood estimation, Atmos. Meas. Tech., 15, 185–203,, 2022.

  5. Escribano, J., Di Tomaso, E., Jorba, O., Klose, M., Gonçalves Ageitos, M., Macchia, F., Amiridis, V., Baars, H., Marinou, E., Proestakis, E., Urbanneck, C., Althausen, D., Bühl, J., Mamouri, R.-E., and Pérez García-Pando, C.: Assimilating spaceborne lidar dust extinction can improve dust forecasts, Atmos. Chem. Phys., 22, 535–560,, 2022.

  6. Evgenieva, T.; Gurdev, L.; Toncheva, E.; Dreischuh, T. Optical and Microphysical Properties of the Aerosol Field over Sofia, Bulgaria, Based on AERONET Sun-Photometer Measurements. Atmosphere, 13, 884., 2022.

  7. Fajardo-Zambrano, C.M.; Bravo-Aranda, J.A.; Granados-Muñoz, M.J.; Montilla-Rosero, E.; Casquero-Vera, J.A.; Rejano, F.; Castillo, S.; Alados-Arboledas, L. Lidar and Radar Signal Simulation: Stability Assessment of the Aerosol–Cloud Interaction Index. Remote Sens., 14, 1333., 2022.

  8. Fragola, M.; Arsieni, A.; Carelli, N.; Dattoli, S.; Maiellaro, S.; Perrone, M.R.; Romano, S. Pollen Monitoring by Optical Microscopy and DNA Metabarcoding: Comparative Study and New Insights. Int. J. Environ. Res. Public Health, 19, 2624., 2022.

  9. Ilic, L., Jovanovic, A., Kuzmanoski, M., Lazic, L., Madonna, F., Rosoldi, M., Mytilinaios, M., Marinou, E., and Nickovic, S., Mineralogy sensitive immersion freezing parameterization in DREAM. Journal of Geophysical Research: Atmospheres, 127, e2021JD035093., 2022.

  10. Heese, B., Floutsi, A. A., Baars, H., Althausen, D., Hofer, J., Herzog, A., Mewes, S., Radenz, M., and Schechner, Y. Y.: The vertical aerosol type distribution above Israel – 2 years of lidar observations at the coastal city of Haifa, Atmos. Chem. Phys., 22, 1633–1648,, 2022.

  11. Mereuta, A., Ajtai, N., Radovici, A. T., Papagiannopoulos, N., Deaconu, L. T., Botezan, C. S., Stefanie, H. I., Nicolae, D., and Ozunu, A.: A novel method of identifying and analysing oil smoke plumes based on MODIS and CALIPSO satellite data, Atmos. Chem. Phys., 22, 5071–5098,, 2022.

  12. Perrone, M.R., Lorusso, A., Romano, S.: Diurnal and nocturnal aerosol properties by AERONET sun-sky-lunar photometer measurements along four years. Atmos. Res. 265, 105889, ISSN: 0169-8095. DOI: 10.1016/j.atmosres.2021.105889, 2022.

  13. Perrone, M.R., Paladini, F., Becagli, S. et al. Daytime and nighttime chemical and optical properties of fine and coarse particles at a central Mediterranean coastal site. Environ Sci Pollut Res 29, 43401–43420,, 2022.

  14. Peshev, Z.; Deleva, A.; Vulkova, L.; Dreischuh, T. Large-Scale Saharan Dust Episode in April 2019: Study of Desert Aerosol Loads over Sofia, Bulgaria, Using Remote Sensing, In Situ, and Modeling Resources. Atmosphere, 13, 981., 2022.

  15. Pignatti, S.; Amodeo, A.; Carfora, M.F.; Casa, R.; Mona, L.; Palombo, A.; Pascucci, S.; Rosoldi, M.; Santini, F.; Laneve, G. PRISMA L1 and L2 Performances within the PRISCAV Project: The Pignola Test Site in Southern Italy. Remote Sens., 14, 1985., 2022.

  16. Sannino, A., Amoruso, S., Damiano, R., Scollo, S., Sellitto, P., Boselli, A., Aerosol Optical and Microphysical Characterization of Atmospheric Aerosol in the Central Mediterranean during Simultaneous Volcanic Ash and Desert Dust Transport Events, Atmospheric Research, Volume 271,106099,, 2022.

  17. Shang, X., Baars, H., Stachlewska, I. S., Mattis, I., and Komppula, M.: Pollen observations at four EARLINET stations during the ACTRIS-COVID-19 campaign, Atmos. Chem. Phys., 22, 3931–3944,, 2022.

  18. Wang, Y.; Amodeo, A.; O’Connor, E.J.; Baars, H.; Bortoli, D.; Hu, Q.; Sun, D.; D’Amico, G. Numerical Weather Predictions and Re-Analysis as Input for Lidar Inversions: Assessment of the Impact on Optical Products. Remote Sens., 14, 2342., 2022.

  19. Zhang, H.; Wagner, F.; Saathoff, H.; Vogel, H.; Hoshyaripour, G.; Bachmann, V.; Förstner, J.; Leisner, T. Comparison of Scanning LiDAR with Other Remote Sensing Measurements and Transport Model Predictions for a Saharan Dust Case. Remote Sens., 14, 1693., 2022.