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Journal papers

2024

  1. Di Fiore, G., Specht, K., Zanasi, C., & Rover, O. J. Practising urban agriculture positively influences household organic waste management habits: A quantitative study from Florianópolis, Brazil. Waste Management & Research, 0734242X241271025. https://doi.org/10.1177/0734242X241271025 (2024).
  2. Laj P., Lund Myhre C., Riffault V., Amiridis V., Fuchs H., Eleftheriadis k., Petäjä T., Salameh T., Kivekäs N., Juurola E., Saponaro G., Philippin S., Cornacchia C., Alados Arboledas L., Baars H., Claude A., De Mazière M., Dils B., Dufresne M., Evangeliou N., Favez O., Fiebig M., Haeffelin M., Herrmann H., Höhler K., Illmann N., Kreuter A., Ludewig E., Marinou E., Möhler O., Mona L., Murberg L.E., Nicolae D., Novelli A., O’Connor E., Ohneiser K., Petracca Altieri R.M., Picquet-Varrault B., van Pinxteren D., Pospichal B., Putaud J-P, Reimann S., Siomos N., Stachlewska I., Tillmann R., Voudouri K.A., Wandinger U., Wiedensohler A., Apituley A., Comerón A., Gysel-Beer M., Mihalopoulos N., Nikolova N., Pietruczuk A., Sauvage S., Sciare J., Skov H., Svendby T., Swietlicki E., Tonev D., Vaughan G., Zdimal V., Baltensperger U., Doussin J-F, Kulmala M., Pappalardo G., Sorvari Sundet S., and Vana M., Aerosol, Clouds and Trace Gases Research Infrastructure – ACTRIS, the European research infrastructure supporting atmospheric science, Bulletin of the American Meteorological Society (BAMS), DOI: https://doi.org/10.1175/BAMS-D-23-0064.1, (accepted and published on line), 2024.
  3. Papanikolaou, C.-A.; Papayannis, A.; Gidarakou, M.; Abdullaev, S.F.; Ajtai, N.; Baars, H.; Balis, D.; Bortoli, D.; Bravo-Aranda, J.A.; Collaud-Coen, M.; et al. Large-Scale Network-Based Observations of a Saharan Dust Event across the European Continent in Spring 2022. Remote Sens., 16, 3350,  https://doi.org/10.3390/rs16173350, 2024.
  4. Papanikolaou, C-A., Papayannis, A., Gidarakou, M., Abdullaev, S. F., Ajtai, N., Baars, H., Balis, D., Bortoli, D., Bravo-Aranda, J. A., Collaud-Coen, M., De Rosa, B., Dionisi, D., Eleftheratos, K., Engelmann, R., Floutsi, A. A., Abril-Gago, J., Goloub, P., Giuliano, G., Gumà-Claramunt, P., Hofer, J., Hu, Q., Komppula, M., Marinou, E., Martucci, G., Mattis, I., Michailidis, K., Muñoz-Porcar, C., Mylonaki, M., Mytilinaios, M., Nicolae, D., Rodríguez-Gómez, A., Salgueiro, V., Shang, X., Stachlewska, I. S., Stefănie H. I., Szczepanik, D. M., Trickl, T., Vogelmann, H., and Voudouri, K. A.: Large-Scale Network-Based Observations of a Saharan Dust Event across the European Continent in Spring 2022, Remote Sens., 16, 3350, https://doi.org/10.3390/rs16173350, 2024.
  5. Marra F., Discussing the effect of sampling error on the estimation of ozone variability and trend in UT/LS, Il Nuovo Cimento C, https://doi.org/10.1393/ncc/i2024-24266-9, 47, 266, 2024.
  6. K. Shen, G. Vivone, X. Yang, S. Lolli, and M. Schmitt, “A Benchmarking Protocol for SAR Colorization: From Regression to Deep Learning Approaches”, Elsevier Neural Networks, https://doi.org/10.1016/j.neunet.2023.10.058, 2024.
  7. L. Zong, J. Ngarukiyimana, Y. Yang, S. Yim, Y. Zhou, M. Wang, Z. Xie, H. Ho, M. Gao, S. Tong, and S. Lolli, Malaria transmission risk is projected to increase in the highlands of Western and Northern Rwanda. Commun Earth Environ 5, 559, https://doi.org/10.1038/s43247-024-01717-9, 2024.
  8. M. Wang, T. Wei, S. Lolli, K. Wu, Y. Wang, H. Hu, J. Yuan, D. Tang, and H. Xia, A long-term Doppler wind LiDAR study of heavy pollution episodes in western Yangtze River Delta region, China, Atmospheric Research, Volume 310, 107616, https://doi.org/10.1016/j.atmosres.2024.107616, 2024.
  9. Dolinar, E. K., J. R. Campbell, J. W. Marquis, J. R. Lewis, S. Lolli, P. Yang, and E. J. Welton, Estimation of the Uncertainty in Daytime Cirrus Cloud Radiative Forcing and Heating Rates Due to Ice Crystal Optics. J. Appl. Meteor. Climatol., https://doi.org/10.1175/JAMC-D-24-0065.1, 2024.
  10. Lolli, S.; Alparone, L.; Arienzo, A.; Garzelli, A. Characterizing Dust and Biomass Burning Events from Sentinel-2 Imagery. Atmosphere, 15, 672. https://doi.org/10.3390/atmos15060672, 2024.
  11. N. Liu, Y. Li, Z. Zang, Y. Hu, X. Fang, and S. Lolli, A deep learning-based imputation method for missing gaps in satellite aerosol products by fusing numerical model data, Atmospheric Environment, Volume 325, 120440, https://doi.org/10.1016/j.atmosenv.2024.120440, 2024.
  12. Gil-Díaz, C., Sicard, M., Comerón, A., dos Santos Oliveira, D. C. F., Muñoz-Porcar, C., Rodríguez-Gómez, A., Lewis, J. R., Welton, E. J., and Lolli, S.: Geometrical and optical properties of cirrus clouds in Barcelona, Spain: analysis with the two-way transmittance method of 4 years of lidar measurements, Atmos. Meas. Tech., 17, 1197–1216, https://doi.org/10.5194/amt-17-1197-2024, 2024.

2023

  1. Mona, L., Amiridis, V., Cuevas, E., Gkikas, A., Trippetta, S., Vandenbussche, S., Benedetti, A., Dagsson-Waldhauserova, P., Formenti, P., Haefele, A., Kazadzis, S., Knippertz, P., Laurent, B., Madonna, F., Nickovic, S., Papagiannopoulos, N., Pappalardo, G., Pérez García-Pando, C., Popp, T., Rodríguez, S., Sealy, A., Sugimoto, N., Terradellas, E., Vukovic Vimic, A., Weinzierl, B., & Basart, S.: Observing Mineral Dust in Northern Africa, the Middle East, and Europe: Current Capabilities and Challenges ahead for the Development of Dust Services. Bull. Amer. Meteor. Soc., 104, E2223–E2264,  https://doi.org/10.1175/BAMS-D-23-0005.1, 2023.
  2. Badia F., Ricciardelli A., Ricciardi F., Lo Smart Working come opportunità di cambiamento e strumento di gestione della crisi nella PA, Azienda Pubblica, pp. 225-251, DOI: 10.30448/AP.2023.2.04, 2023.
  3. S. Lolli, F. Piazza, and G. Vivone, “Government Restriction Efficiency on Curbing COVID-19 Pandemic Transmission in Western Europe”, MDPI Covid, vol. 3, no. 8, pp. 1079-1091, https://doi.org/10.3390/covid3080079, doi: 10.1016/j.neunet.2023.10.058, July 2023.
  4. K. Shen, X. Yanga, S. Lolli, and G. Vivone, “A Continual Learning-guided Training Framework for Pansharpening”, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 196, pp. 45-57, https://ui.adsabs.harvard.edu/link_gateway/2023JPRS..196…45S/doi:10.1016/j.isprsjprs.2022.12.015, February 2023.
  5. Lolli, S., Sicard, M., Amato, F., Comeron, A., Gíl-Diaz, C., Landi, T. C., Munoz-Porcar, C., Oliveira, D., Dios Otin, F., Rocadenbosch, F., Rodriguez-Gomez, A., Alastuey, A., Querol, X., and Reche, C.: Climatological assessment of the vertically resolved optical and microphysical aerosol properties by lidar measurements, sun photometer, and in situ observations over 17 years at Universitat Politècnica de Catalunya (UPC) Barcelona, Atmos. Chem. Phys., 23, 12887–12906, https://doi.org/10.5194/acp-23-12887-2023, 2023.
  6. Di Fiore, G., Carloni, E., & Siggia, D. Innovation dynamics for the transition to sustainable food systems. Frontiers in Sustainable Food Systems, 7, 1323880. https://doi.org/10.3389/fsufs.2023.1323880 (2023).
  7. Giordano, C., Di Fiore, G., Alboni, F., Carloni, E., Rivaroli, S., & Falasconi, L. Household Food Waste Awareness in Relation to Motivations. Sustainability, 15(15), 11582. https://doi.org/10.3390/su151511582 (2023).
  8. Madonna, F., Essa, Y. H., Marra, F., Serva, F., Gardiner, T., Sarakhs, F. K., Tramutola, E. and Rosoldi, M.: Uncertainties on climate extreme indices estimated from U.S. Climate Reference Network (USCRN) near-surface temperatures. Journal of Geophysical Research: Atmospheres, 128, e2022JD038057. https://doi.org/10.1029/2022JD038057, 2023.
  9. Mytilinaios, M., Basart, S., Ciamprone, S., Cuesta, J., Dema, C., Di Tomaso, E., Formenti, P., Gkikas, A., Jorba, O., Kahn, R., Pérez García-Pando, C., Trippetta, S., and Mona, L.: Comparison of dust optical depth from multi-sensor products and MONARCH (Multiscale Online Non-hydrostatic AtmospheRe CHemistry) dust reanalysis over North Africa, the Middle East, and Europe, Atmos. Chem. Phys., 23, 5487–5516, https://doi.org/10.5194/acp-23-5487-2023, 2023.
  10. Amiridis, V., Kampouri, A., Gkikas, A., Misios, S., Gialitaki, A., Marinou, E., Rennie, M., Benedetti, A., Solomos, S., Zanis, P., Vasardani, O., Eleftheratos, K., Paschou, P., Georgiou, T., Scollo, S., Mona, L., Papagiannopoulos, N., Retscher, C., Parrinello T., & Straume A. G. Aeolus winds impact on volcanic ash early warning systems for aviation. Sci Rep 13, 7531, https://doi.org/10.1038/s41598-023-34715-6, 2023.
  11. Summa, D.; Vivone, G.; Franco, N.; D’Amico, G.; De Rosa, B.; Di Girolamo, P. Atmospheric Boundary Layer Height: Inter-Comparison of Different Estimation Approaches Using the Raman Lidar as Benchmark. Remote Sens., 15, 1381. https://doi.org/10.3390/rs15051381,  https://doi.org/10.1038/s41598-023-34715-6, 2023.
  12. Kotthaus, S., Bravo-Aranda, J. A., Collaud Coen, M., Guerrero-Rascado, J. L., Costa, M. J., Cimini, D., O’Connor, E. J., Hervo, M., Alados-Arboledas, L., Jiménez-Portaz, M., Mona, L., Ruffieux, D., Illingworth, A., and Haeffelin, M.: Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations, Atmos. Meas. Tech., 16, 433–479, https://doi.org/10.5194/amt-16-433-2023, 2023.
  13. Michailidis, K., Koukouli, M.-E., Balis, D., Veefkind, J. P., de Graaf, M., Mona, L., Papagianopoulos, N., Pappalardo, G., Tsikoudi, I., Amiridis, V., Marinou, E., Gialitaki, A., Mamouri, R.-E., Nisantzi, A., Bortoli, D., João Costa, M., Salgueiro, V., Papayannis, A., Mylonaki, M., Alados-Arboledas, L., Romano, S., Perrone, M. R., and Baars, H.: Validation of the TROPOMI/S5P aerosol layer height using EARLINET lidars, Atmos. Chem. Phys., 23, 1919–1940, https://doi.org/10.5194/acp-23-1919-2023, 2023.
  14. Di Girolamo, P.; Franco, N.; Di Paolantonio, M.; Summa, D.; Dionisi, D. Atmospheric Thermodynamic Profiling through the Use of a Micro-Pulse Raman Lidar System: Introducing the Compact Raman Lidar MARCO. Sensors 2023, 23, 8262. https://doi.org/10.3390/s23198262.
  15. Lolli, S. Machine Learning Techniques for Vertical Lidar-Based Detection, Characterization, and Classification of Aerosols and Clouds: A Comprehensive Survey. Remote Sens. 2023, 15, 4318. https://doi.org/10.3390/rs15174318.
  16. T. Huang, Y. Li, S. Lolli, J.C.H. Cheng, J. Wang, D.H.Y. Lam, W.H. Leung, H.F. Lee, S.H.L. Yim, Influences of approaching tropical cyclones on water vapor and aerosols in the atmospheric boundary layer of Guangdong–Hong Kong–Macau Greater Bay Area of China, Science of The Total Environment, Volume 880, 2023, 163188, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2023.163188.
  17. P. Sellitto, G. Salerno, S. Corradini, I. Xueref-Remy, A. Riandet, C. Bellon, S. Khaykin, G. Ancellet, S. Lolli, E. J. Welton, A. Boselli, A. Sannino, J. Cuesta, H. Guermazi, M. Eremenko, L. Merucci, D. Stelitano, L. Guerrieri, and B. Legras, “Volcanic emissions, plume dispersion, and downwind radiative impacts following mount etna series of eruptions of february 2126, 2021,” Journal of Geophysical Research: Atmospheres, vol. 128, no. 6, p. e2021JD035974, https://dx.doi.org/10.1029/2021JD035974, 2023.
  18. D. C. F. dos Santos Oliveira, M. Sicard, A. Rodriguez- Gòmez, A. Comeron, C. Munoz-Porcar, C. Gil-Dìaz, S. Lolli, O. Dubovik, A. Lopatin, M. E. Herrera, et al., “Evaluation of the accuracy of the aerosol optical and microphysical retrievals by the grasp algorithm from combined measurements of a polarized sun-sky-lunar photometer and a three-wavelength elastic lidar,” Remote Sensing, vol. 15, no. 20, p. 5010, doi: 10.3390/rs15205010, 2023.
  19. Wang, Shuo & Cohen, Jason & Wang, Xinying & Chen, Weina & Deng, Weizhi & Tiwari, Pravash & Yang, Yuanjian & Lolli, Simone, Observationally Constrained Mass Balance Box Model Analysis of Aerosol Mitigation Potential Using Fan Powered Filters. Environmental Research Communications, doi: 10.1088/2515-7620/ad1422, 2023.
  20. K. Bai, S. Lolli, and Y. Yang, “Special Section Guest Editorial: Integrating Remote Sensing, Machine Learning, and Data Science for Air Quality Management,” Journal of Applied Remote Sensing 18(1), 012001, https://doi.org/10.1117/1.JRS.18.012001, 2023.
  21. E. Jrvinen, B. van Diedenhoven, N. Magee, S. Neshyba, M. Schnaiter, G. Xu, O. Jourdan, D. Delene, F. Waitz, S. Lolli, and S. Kato, Ice Crystal Complexity and Link to the Cirrus Cloud Radiative Effect. Sylvia C. Sullivan; Corinna Hoose. Clouds and Their Climatic Impacts: Radiation, Circulation and Precipitation, 1, Wiley, pp.47-85, 2023, Geophysical Monograph Series, 9781119700319, doi:10.1002/9781119700357.ch3, 2023

2022

  1. Vivone G., Arienzo A., Bilal M., Garzelli A., Pappalardo G., Lolli S., A dark target Kalman filter algorithm for aerosol property retrievals in urban environment using multispectral images, Urban Climate 43,. 101135, https://doi.org/10.1016/j.uclim.2022.101135, 2022.
  2. Monteiro, A., Basart, S., Kazadzis, S., Votsis, A., Gkikas, A., Vandenbussche, S., Tobias, A., Gama, C., García-Pando, C.P., Terradellas, E., Notas, G., Middleton, N., Kushta, J., Amiridis, V., Lagouvardos, K., Kosmopoulos, P., Kotroni, V., Kanakidou, M., Mihalopoulos, N., Kalivitis, N., Dagsson-Waldhauserová, P., El-Askary, H., Sievers, K., Giannaros, T., Mona, L., Hirtl, M., Skomorowski, P., Virtanen, T.H., Christoudias, T., Di Mauro, B., Trippetta, S., Kutuzov, S., Meinander, O., Nickovic, S., Multi-sectoral impact assessment of an extreme African dust episode in the Eastern Mediterranean in March 2018, Science of The Total Environment, Volume 843, 156861, https://doi.org/10.1016/j.scitotenv.2022.156861, 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. https://doi.org/10.3390/rs14194984, 2022.
  4. Cvetkovic, B.; Dagsson-Waldhauserová, P.; Petkovic, S.; Arnalds, Ó.; Madonna, F.; Proestakis, E.; Gkikas, A.; Vukovic Vimic, A.; Pejanovic, G.; Rosoldi, M.; et al.: Fully Dynamic High–Resolution Model for Dispersion of Icelandic Airborne Mineral Dust. Atmosphere, 13,1345. https://doi.org/10.3390/atmos13091345, 2022.
  5. Summa, D., Madonna, F., Franco, N., De Rosa, B., and Di Girolamo, P.: Inter-comparison of atmospheric boundary layer (ABL) height estimates from different profiling sensors and models in the framework of HyMeX-SOP1, Atmos. Meas. Tech., 15, 4153–4170, https://doi.org/10.5194/amt-15-4153-2022, 2022.
  6. Di Girolamo, P., De Rosa, B., Summa, D., Franco, N., & Veselovskii, I., Measurements of aerosol size and microphysical properties: A comparison between Raman lidar and airborne sensors. Journal of Geophysical Research: Atmospheres, 127, e2021JD036086. https://doi.org/10.1029/2021JD036086, 2022.
  7. Mereuţă, A., Ajtai, N., Radovici, A. T., Papagiannopoulos, N., Deaconu, L. T., Botezan, C. S., Ştefănie, 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, https://doi.org/10.5194/acp-22-5071-2022, 2022.
  8. Di Tomaso, E., Escribano, J., Basart, S., Ginoux, P., Macchia, F., Barnaba, F., Benincasa, F., Bretonnière, P.-A., Buñuel, A., Castrillo, M., Cuevas, E., Formenti, P., Gonçalves, M., Jorba, O., Klose, M., Mona, L., Montané Pinto, G., Mytilinaios, M., Obiso, V., Olid, M., Schutgens, N., Votsis, A., Werner, E., and Pérez García-Pando, C.: The MONARCH high-resolution reanalysis of desert dust aerosol over Northern Africa, the Middle East and Europe (2007–2016), Earth Syst. Sci. Data, 14, 2785–2816, https://doi.org/10.5194/essd-14-2785-2022, 2022.
  9. 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. https://doi.org/10.3390/rs14102342, 2022.
  10. 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. https://doi.org/10.3390/rs14091985, 2022.
  11. Lacagnina, C., Doblas-Reyes, F., Larnicol, G., Buontempo, C., Obregón, A., Costa-Surós, M., San-Martín, D., Bretonnière, P.-A., Polade, S.D., Romanova, V., Putero, D., Serva, F., Llabrés-Brustenga, A., Pérez, A., Cavaliere, D., Membrive, O., Steger, C., Pérez-Zanón, N., Cristofanelli, P., Madonna, F., Rosoldi, M., Riihelä, A. and Díez, M.G., Quality Management Framework for Climate Datasets. Data Science Journal, 21(1), p.10. DOI: http://doi.org/10.5334/dsj-2022-010, 2022.
  12. Rosoldi, M.; Coppa, G.; Merlone, A.; Musacchio, C.; Madonna, F. Intercomparison of Vaisala RS92 and RS41 Radiosonde Temperature Sensors under Controlled Laboratory Conditions. Atmosphere 2022, 13, 773. https://doi.org/10.3390/atmos13050773, 2022.
  13. Ilić, L., Jovanović, A., Kuzmanoski, M., Lazić, L., Madonna, F., Rosoldi, M., Mytilinaios, M., Marinou, E., and Ničković, S., Mineralogy sensitive immersion freezing parameterization in DREAM. Journal of Geophysical Research: Atmospheres, 127, e2021JD035093. https://doi.org/10.1029/2021JD035093, 2022.
  14. Madonna, F., Tramutola, E., SY, S., Serva, F., Proto, M., Rosoldi, M., Gagliardi, S., Amato, F., Marra, F., Fassò, A., Gardiner, T., and Thorn, P.W., The new Radiosounding HARMonization (RHARM) data set of homogenized radiosounding temperature, humidity, and wind profiles with uncertainties. Journal of Geophysical Research: Atmospheres, 127, e2021JD035220. https://doi.org/10.1029/2021JD035220, 2022.
  15. Szczepanik, D.M.; Ortiz-Amezcua, P.; Heese, B.; D’Amico, G.; Stachlewska, I.S. First Ever Observations of Mineral Dust in Wintertime over Warsaw, Poland. Remote Sens. 2022, 14, 3788. https://doi.org/10.3390/rs14153788.
  16. L. Zong, Y. Yang, H. Xia, M. Gao, Z. Sun, Z. Zheng, X. Li, G. Ning, Y. Li, and S. Lolli, “Joint occurrence of heatwaves and ozone pollution and increased health risks in beijing, china: role of synoptic weather pattern and urbanization,” Atmospheric Chemistry and Physics, vol. 22, no. 10, pp. 6523–6538, doi: 10.5194/acp-22-6523-2022, 2022.
  17. T. M. McHardy, J. R. Campbell, D. A. Peterson, S. Lolli, Garnier, A. P. Kuciauskas, M. L. Surratt, J. W. Marquis, S. D. Miller, E. K. Dolinar, and X. Dong, “GOES ABI detection of thin cirrus over land,” Journal of Atmospheric and Oceanic Technology, vol. 39, no. 9, pp. 1415 – 1429, doi: 10.1175/JTECH-D-21-0160.1, 2022.
  18. A. Arienzo, L. Alparone, A. Garzelli, and S. Lolli, “Advantages of nonlinear intensity components for contrast-based multispec- tral pansharpening,” Remote Sensing, vol. 14, no. 14, p. 3301, doi: 10.3390/rs14143301, 2022.
  19. K. Qin, Q. He, Y. Zhang, J. B. Cohen, P. Tiwari, and S. Lolli, “Aloft Transport Of Haze Aerosols To Xuzhou, Eastern China: Optical Properties, Sources, Type, And Components,” Remote Sensing, vol. 14, no. 7, p. 1589, doi: 10.3390/rs14071589, 2022.
  20. Yang, Yuanjian; Ho, Hung Chak; Lolli, Simone; Yang, Xuchao, Editorial: Climate Change, Aerosol Pollution and Public Health Risk in an Urban Context, Front. Clim., 09 May 2022, Sec. Climate Services, Volume 4, doi: 10.3389/fclim.2022.862982, 2022.
  21. Lawand D.; Bhakare S.; Fadnavis S.; Bhawar R.L.; Rahul P.R.C.; Pallath P.K.; Lolli S., Variability of Aerosols and Clouds Over North Indian and Myanmar During the COVID-19 Lockdown Period, ORIGINAL RESEARCH article, Front. Environ. Sci., 15 March 2022, Sec. Atmosphere and Climate, Volume 10, doi: 10.3389/fenvs.2022.838778, 2022.

2021

  1. Marinou, E.; Voudouri, K.A.; Tsikoudi, I.; Drakaki, E.; Tsekeri, A.; Rosoldi, M.; Ene, D.; Baars, H.; O’Connor, E.; Amiridis, V.; Meleti, C. Geometrical and Microphysical Properties of Clouds Formed in the Presence of Dust above the Eastern Mediterranean. Remote Sens., 13, 5001. https://doi.org/10.3390/rs13245001, 2021.
  2. Plu, M., Bigeard, G., Sič, B., Emili, E., Bugliaro, L., El Amraoui, L., Guth, J., Josse, B., Mona, L., and Piontek, D.: Modelling the volcanic ash plume from Eyjafjallajökull eruption (May 2010) over Europe: evaluation of the benefit of source term improvements and of the assimilation of aerosol measurements, Nat. Hazards Earth Syst. Sci., 21, 3731–3747, https://doi.org/10.5194/nhess-21-3731-2021, 2021.
  3. Brenot, H., Theys, N., Clarisse, L., van Gent, J., Hurtmans, D. R., Vandenbussche, S., Papagiannopoulos, N., Mona, L., Virtanen, T., Uppstu, A., Sofiev, M., Bugliaro, L., Vázquez-Navarro, M., Hedelt, P., Parks, M. M., Barsotti, S., Coltelli, M., Moreland, W., Scollo, S., Salerno, G., Arnold-Arias, D., Hirtl, M., Peltonen, T., Lahtinen, J., Sievers, K., Lipok, F., Rüfenacht, R., Haefele, A., Hervo, M., Wagenaar, S., Som de Cerff, W., de Laat, J., Apituley, A., Stammes, P., Laffineur, Q., Delcloo, A., Lennart, R., Rokitansky, C.-H., Vargas, A., Kerschbaum, M., Resch, C., Zopp, R., Plu, M., Peuch, V.-H., Van Roozendael, M., and Wotawa, G.: EUNADICS-AV early warning system dedicated to supporting aviation in the case of a crisis from natural airborne hazards and radionuclide clouds, Nat. Hazards Earth Syst. Sci., 21, 3367–3405, https://doi.org/10.5194/nhess-21-3367-2021, 2021.
  4. Vivone, G., D’Amico, G., Summa, D., Lolli, S., Amodeo, A., Bortoli, D., and Pappalardo, G.: Atmospheric boundary layer height estimation from aerosol lidar: a new approach based on morphological image processing techniques, Atmos. Chem. Phys., 21, 4249–4265, https://doi.org/10.5194/acp-21-4249-2021, 2021.
  5. Mylonaki, M., Giannakaki, E., Papayannis, A., Papanikolaou, C.-A., Komppula, M., Nicolae, D., Papagiannopoulos, N., Amodeo, A., Baars, H., and Soupiona, O.: Aerosol type classification analysis using EARLINET multiwavelength and depolarization lidar observations, Atmos. Chem. Phys., 21, 2211–2227, https://doi.org/10.5194/acp-21-2211-2021, 2021.
  6. Michailidis, K., Koukouli, M.-E., Siomos, N., Balis, D., Tuinder, O., Tilstra, L. G., Mona, L., Pappalardo, G., and Bortoli, D.: First validation of GOME-2/MetOp absorbing aerosol height using EARLINET lidar observations, Atmos. Chem. Phys., 21, 3193–3213, https://doi.org/10.5194/acp-21-3193-2021, 2021.
  7. Madonna F., D. Summa, P. Di Girolamo, F. Marra, Y. Wang and M. Rosoldi, M. Assessment of Trends and Uncertainties in the Atmospheric Boundary Layer Height Estimated using Radiosounding Observations over Europe, Atmosphere, 12, 301, https://doi.org/10.3390/atmos12030301, 2021.
  8. Kampouri, A.; Amiridis, V.; Solomos, S.; Gialitaki, A.; Marinou, E.; Spyrou, C.; Georgoulias, A.K.; Akritidis, D.; Papagiannopoulos, N.; Mona, L.; Scollo, S.; Tsichla, M.; Tsikoudi, I.; Pytharoulis, I.; Karacostas, T.; Zanis, P. Investigation of Volcanic Emissions in the Mediterranean: “The Etna–Antikythera Connection”. Atmosphere, 12, 40. https://doi.org/10.3390/atmos12010040, 2021.
  9. Baldassarre F., Silvestri R., Ricciardi F., Santovito S., Supply chain risk management for sustainable strategy: a study in the furniture industry, International Journal of Decision Sciences, Risk and Management, Vol.10 n.3, ISSN online 1753-7177 ISSN print 1753-7169, DOI: 10.1504/IJDSRM.2022.10049888, 2021.
  10. Silvestri R., Ricciardi F., Rosato P., Santovito S., L’engagement e la crisi relazionale nella cooperazione agroalimentare: analisi dei possibili fattori esplicativi, Rivista di Studi Manageriali (RiSMa), Vol. 2, No. 2, pp. 75-89, ISSN: 2784-8531, Sapienza Università Editrice, 2021.
  11. Serena Falasca, Ilaria Gandolfi, Stefania Argentini, Francesca Barnaba, Giampietro Casasanta, Luca Di Liberto, Igor Petenko, Gabriele Curci, Sensitivity of near-surface meteorology to PBL schemes in WRF simulations in a port-industrial area with complex terrain, Atmospheric Research, Volume 264, 105824, ISSN 0169-8095, https://doi.org/10.1016/j.atmosres.2021.105824, 2021.
  12. Boettcher, M., Schäfler, A., Sprenger, M., Sodemann, H., Kaufmann, S., Voigt, C., Schlager, H., Summa, D., Di Girolamo, P., Nerini, D., Germann, U., and Wernli, H.: Lagrangian matches between observations from aircraft, lidar and radar in a warm conveyor belt crossing orography, Atmos. Chem. Phys., 21, 5477–5498, https://doi.org/10.5194/acp-21-5477-2021, 2021.
  13. Zenteno-Hernández, J.A.; Comerón, A.; Rodríguez-Gómez, A.; Muñoz-Porcar, C.; D’Amico, G.; Sicard, M. A Comparative Analysis of Aerosol Optical Coefficients and Their Associated Errors Retrieved from Pure-Rotational and Vibro-Rotational Raman Lidar Signals. Sensors 2021, 21, 1277. https://doi.org/10.3390/s21041277.
  14. Nemuc, Anca, Sara Basart, Aurelio Tobias, Slobodan Nickovic, Francesca Barnaba, Stelios Kazadzis, Lucia Mona, Vassilis Amiridis, Ana Vukovic, Isadora J. Christel, Pavla Dagsson Waldhauserová and Alexandra Monteiro, COST Lecture 2019 AE GM Barcelona: International Network to Encourage the Use of Monitoring and Forecasting Dust Products (InDust). European Review. 2021;29(1):45-59. doi:10.1017/S1062798720000733.
  15. T. C. Landi, P. Bonasoni, M. Brunetti, J. R. Campbell, J. W. Marquis, P. Di Girolamo, and S. Lolli, “Aerosol direct radiative effects under cloud-free conditions over highly-polluted areas in europe and mediterranean: A ten-years analysis (2007–2016),” Remote Sensing, vol. 13, no. 15, p. 2933, doi: 10.3390/rs13152933, 2021.
  16. T. M. McHardy, J. R. Campbell, D. A. Peterson, S. Lolli, R. L. Bankert, A. Garnier, A. P. Kuciauskas, M. L. Surratt, J. W. Marquis, S. D. Miller, E. K. Dolinar, and X. Dong, “Advancing maritime transparent cirrus detection using the advanced baseline imager cirrus band,” Journal of Atmospheric and Oceanic Technology, doi: 10.1175/JTECH-D-20-0130.1, 2021.
  17. R. L. Bhawar, S. Fadnavis, V. Kumar, P. R. C. Rahul, T. Sinha, and S. Lolli, “Radiative impacts of aerosols during covid-19 lockdown period over the indian region,” Frontiers in Environ- mental Science, vol. 9, p. 411, doi: 10.3389/fenvs.2021.746090, 2021.
  18. S. Lolli, “Is the air too polluted for outdoor activities? check by using your photovoltaic system as an air-quality monitoring device,” Sensors, vol. 21, no. 19, doi: 10.3390/s21196342, 2021.
  19. H. Yang, Z. Fang, Y. Cao, C. Xie, T. Zhou, B. Wang, K. Xing, and S. Lolli, “Impacts of transboundary dust trans- port on aerosol pollution in the western yangtze river delta region, china: Insights gained from ground-based lidar and satellite observations,” Earth and Space Science, vol. 8, no. 3, p. e2020EA001533, doi:2020EA001533, 2021.
  20. T. Huang, Y. Yang, E. J. O’Connor, S. Lolli, M. Haywood, J.and Osborne, J. C. Cheng, J. Guo, and S. H. Yim, “Influence of a weak typhoon on the vertical distribution of air pollution in Hong Kong: A perspective from a Doppler lidar network,” Environmental Pollution, vol. 276, p. 116534, doi: 10.1016/j.envpol.2021.116534, 2021.
  21. J. R. Campbell, E. K. Dolinar, S. Lolli, G. J. Fochesatto, Y. Gu, J. R. Lewis, J. W. Marquis, T. M. McHardy, D. R. Ryglicki, and E. J. Welton, “Cirrus Cloud Top-Of-The-Atmosphere Net Daytime Forcing In The Alaskan Subarctic From Ground-Based MPLNET Monitoring,” Journal of Applied Meteorology and Climatology, vol. 60, no. 1, pp. 51–63, doi: 10.1175/JAMC-D-20-0077.1, 2021.
  22. Huang T.; Li Y.; Cheng J.C.H.; Haywood J.; Hon K.K.; Lam D.H.Y.; Lee O.S.M.; Lolli S.; O’Connor E.J.; Lee H.F.; Wang M.; Yim S.H.L., Assessing Transboundary-Local Aerosols Interaction Over Complex Terrain Using a Doppler LiDAR Network, Assessing transboundary-local aerosols interaction over complex terrain using a Doppler LiDAR network. Geophysical Research Letters, 48, e2021GL093238. https://doi.org/10.1029/2021GL093238, 2021.
  23. Flamant, C., Chazette, P., Caumont, O Paolo Di Girolamo, Andreas Behrendt , Michaël Sicard, Julien Totems, Diego Lange , Nadia Fourrié, Pierre Brousseau, Clotilde Augros , Alexandre Baron, Marco Cacciani, Adolfo Comerón, Benedetto De Rosa, Veronique Ducrocq, Pascal Genau ,Laurent Labatut, Constantino Muñoz-Porcar, Alejandro Rodríguez- Gómez, Donato Summa,Rohith Thundathil and Volker Wulfmeyer, A network of water vapor Raman lidars for improving heavy precipitation forecasting in southern France: introducing the WaLiNeAs initiative. Bull. of Atmos. Sci.& Technol. 2, 10 (2021). https://doi.org/10.1007/s42865-021-00037-6.

2020

  1. Soupiona, O., Papayannis, A., Kokkalis, P., Foskinis, R., Sánchez Hernández, G., Ortiz-Amezcua, P., Mylonaki, M., Papanikolaou, C.-A., Papagiannopoulos, N., Samaras, S., Groß, S., Mamouri, R.-E., Alados-Arboledas, L., Amodeo, A., and Psiloglou, B.: EARLINET observations of Saharan dust intrusions over the northern Mediterranean region (2014–2017): properties and impact on radiative forcing, Atmos. Chem. Phys., 20, 15147–15166, https://doi.org/10.5194/acp-20-15147-2020, 2020.
  2. Sy, S., Madonna, F., Rosoldi, M., Tramutola, E., Gagliardi, S., Proto, M., Pappalardo, G., 2020. Sensitivity of trends to estimation methods and quantification of subsampling effects in global radiosounding temperature and humidity time series. Int. J. Climatol. Volume 41, Issue S1 p. E1992-E2014, https://doi.org/10.1002/joc.6827, (2020).
  3. Voudouri, K.A.; Siomos, N.; Michailidis, K.; D’Amico, G.; Mattis, I.; Balis, D. Consistency of the Single Calculus Chain Optical Products with Archived Measurements from an EARLINET Lidar Station. Remote Sens. 2020, 12, 3969. https://doi.org/10.3390/rs12233969.
  4. Papagiannopoulos, N., D’Amico, G., Gialitaki, A., Ajtai, N., Alados-Arboledas, L., Amodeo, A., Amiridis, V., Baars, H., Balis, D., Binietoglou, I., Comerón, A., Dionisi, D., Falconieri, A., Fréville, P., Kampouri, A., Mattis, I., Mijić, Z., Molero, F., Papayannis, A., Pappalardo, G., Rodríguez-Gómez, A., Solomos, S., and Mona, L.: An EARLINET early warning system for atmospheric aerosol aviation hazards, Atmos. Chem. Phys., 20, 10775–10789, https://doi.org/10.5194/acp-20-10775-2020, 2020.
  5. Madonna F., Can reference radiosounding measurements be used to improve historical time series?, Il Nuovo Cimento C 43, 1–10. https://doi.org/10.1393/ncc/i2020-20121-5, 2020.
  6. S. Lolli, G. Vivone, J.R. Lewis, M. Sicard, E.J. Welton, J.R. Campbell, A. Comerón, L.P. D’Adderio, A. Tokay, A. Giunta and G. Pappalardo, Overview of the New Version 3 NASA Micro-Pulse Lidar Network (MPLNET) Automatic Precipitation Detection Algorithm, Remote Sens. 2020, 12, 71; doi:10.3390/rs12010071, 2020.
  7. Madonna, F., Kivi, R., Dupont, J.-C., Ingleby, B., Fujiwara, M., Romanens, G., Hernandez, M., Calbet, X., Rosoldi, M., Giunta, A., Karppinen, T., Iwabuchi, M., Hoshino, S., von Rohden, C., and Thorne, P. W.: Use of automatic radiosonde launchers to measure temperature and humidity profiles from the GRUAN perspective, Atmos. Meas. Tech., 13, 3621–3649, https://doi.org/10.5194/amt-13-3621-2020, 2020.
  8. Hirtl, M., Arnold, D., Baro, R., Brenot, H., Coltelli, M., Eschbacher, K., Hard-Stremayer, H., Lipok, F., Maurer, C., Meinhard, D., Mona, L., Mulder, M. D., Papagiannopoulos, N., Pernsteiner, M., Plu, M., Robertson, L., Rokitansky, C.-H., Scherllin-Pirscher, B., Sievers, K., Sofiev, M., Som de Cerff, W., Steinheimer, M., Stuefer, M., Theys, N., Uppstu, A., Wagenaar, S., Winkler, R., Wotawa, G., Zobl, F., and Zopp, R.: A volcanic-hazard demonstration exercise to assess and mitigate the impacts of volcanic ash clouds on civil and military aviation, Nat. Hazards Earth Syst. Sci., 20, 1719–1739, https://doi.org/10.5194/nhess-20-1719-2020, 2020.
  9. Falconieri, A., N. Papagiannopoulos, F. Marchese, C. Filizzola, S. Trippetta, N. Pergola, G. Pappalardo, V. Tramutoli and L. Mona, Validation of Ash/Dust Detections from SEVIRI Data Using ACTRIS/EARLINET Ground-Based LIDAR Measurements, Remote Sens., 12(7), 1172; https://doi.org/10.3390/rs12071172, 2020.
  10. Sy, S., B. Quesada, Anthropogenic land cover change impact on climate extremes during the 21st century, Environ. Res. Lett., Environ. Res. Lett. 15 034002, https://doi.org/10.1088/1748-9326/ab702c, 2020.
  11. Di Girolamo, P., De Rosa, B., Flamant, C., Summa, D., Bousquet, O., Chazette, P., Totems, J., Cacciani, M., Water vapor mixing ratio and temperature inter-comparison results in the framework of the Hydrological Cycle in the Mediterranean Experiment—Special Observation Period 1. Bull. of Atmos. Sci.& Technol. 1, 113–153 (2020). https://doi.org/10.1007/s42865-020-00008-3.
  12. De Rosa, B., Di Girolamo, P., and Summa, D.: Temperature and water vapour measurements in the framework of the Network for the Detection of Atmospheric Composition Change (NDACC), Atmos. Meas. Tech., 13, 405–427, https://doi.org/10.5194/amt-13-405-2020, 2020.
  13. Lolli, S., Vivone, G. The role of tropospheric ozone in flagging COVID-19 pandemic transmission. Bull. of Atmos. Sci.& Technol. 1, 551–555 (2020). https://doi.org/10.1007/s42865-020-00026-1.
  14. Lolli S, Chen YC, Wang SH, Vivone G. Impact of meteorological conditions and air pollution on COVID-19 pandemic transmission in Italy. Sci Rep. 2020 Oct 1;10(1):16213. doi: 10.1038/s41598-020-73197-8. PMID: 33004925; PMCID: PMC7530996.
  15. Y. Yang, S. Fan, L. Wang, Z. Gao, Y. Zhang, H. Zou, S. Miao, Y. Li, M. Huang, S. Yim, et al., “Diurnal Evolution Of The Wintertime Boundary Layer In Urban Beijing, China: Insights From Doppler Lidar And A 325-M Meteorological Tower,” Remote Sensing, vol. 12, no. 23, p. 3935, doi: 10.3390/rs12233935, 2020.
  16. Z. Zheng, C. Zhao, S. Lolli, X. Wang, Y. Wang, X. Ma, Q. Li, and Y. Yang, “Diurnal Variation Of Summer Precipitation Modu- Lated By Air Pollution: Observational Evidences In The Beijing Metropolitan Area,” Environmental Research Letters, vol. 15, no. 9, p. 094053, doi: 10.1088/1748-9326/ab99fc, 2020.
  17. E. K. Dolinar, J. R. Campbell, S. Lolli, S. C. Ozog, J. E. Yorks, C. Camacho, Y. Gu, and M. J. Bucholtz, A.and McGill, “Sensitivities In Satellite Lidar-Derived Estimates Of Daytime Top-Of-The-Atmosphere Optically-Thin Cirrus Cloud Radiative Forcing: A Case Study,” Geophysical Research Letters, p. 10.1029/2020GL088871, doi: 10.1029/2020GL088871, 2020.
  18. S. Lolli, K. Qin, J. R. Campbell, and S.-H. Wang, “Editorial for special issue: High Resolution active optical remote sensing observations of Aerosols, Clouds and AerosolCloud interac- tions and their implication to climate,” Remote Sensing, vol. 12, no. 13, p. 2166, doi: 10.3390/rs12132166, 2020.
  19. J. R. Lewis, J. R. Campbell, S. A. Stewart, I. Tan, E. J. Welton, and S. Lolli, “Determining Cloud Thermodynamic Phase From The Polarized Micro Pulse Lidar,” Atmospheric Measurement Techniques, vol. 13, no. 12, pp. 6901–6913, doi: 10.5194/amt-13-6901-2020, 2020.
  20. Lolli, S., Vivone, G. The role of tropospheric ozone in flagging COVID-19 pandemic transmission. Bull. of Atmos. Sci.& Technol. 1, 551–555, https://doi.org/10.1007/s42865-020-00026-1, 2020.
  21. Bellanova, J.; Calamita, G.; Catapano, I.; Ciucci, A.; Cornacchia, C.; Gennarelli, G.; Giocoli, A.; Fisangher, F.; Ludeno, G.; Morelli, G., Perrone, A., Piscitelli, S., Soldovieri, F., and Lapenna, V.; et al. GPR and ERT Investigations in Urban Areas: the Case-Study of Matera (Southern Italy). Remote Sens. 2020, 12, 1879. https://doi.org/10.3390/rs12111879.

2019

  1. Richardson, S.C, M. Mytilinaios, R.Foskinis, C. Kyrou, A. Papayannis, I. Pyrri, E. Giannoutsou, I. D. S. Adamakis, Bioaerosol detection over Athens, Greece using the laser induced fluorescence technique, Science of The Total Environment
    Volume 696, 133906, https://doi.org/10.1016/j.scitotenv.2019.133906, 2019.
  2. Granados-Muñoz, M. J., Sicard, M., Papagiannopoulos, N., Barragán, R., Bravo-Aranda, J. A., and Nicolae, D.: Two-dimensional mineral dust radiative effect calculations from CALIPSO observations over Europe, Atmos. Chem. Phys., 19, 13157–13173, https://doi.org/10.5194/acp-19-13157-2019, 2019.
  3. Baars, H., Ansmann, A., Ohneiser, K., Haarig, M., Engelmann, R., Althausen, D., Hanssen, I., Gausa, M., Pietruczuk, A., Szkop, A., Stachlewska, I. S., Wang, D., Reichardt, J., Skupin, A., Mattis, I., Trickl, T., Vogelmann, H., Navas-Guzmán, F., Haefele, A., Acheson, K., Ruth, A. A., Tatarov, B., Müller, D., Hu, Q., Podvin, T., Goloub, P., Veselovskii, I., Pietras, C., Haeffelin, M., Fréville, P., Sicard, M., Comerón, A., Fernández García, A. J., Molero Menéndez, F., Córdoba-Jabonero, C., Guerrero-Rascado, J. L., Alados-Arboledas, L., Bortoli, D., Costa, M. J., Dionisi, D., Liberti, G. L., Wang, X., Sannino, A., Papagiannopoulos, N., Boselli, A., Mona, L., D’Amico, G., Romano, S., Perrone, M. R., Belegante, L., Nicolae, D., Grigorov, I., Gialitaki, A., Amiridis, V., Soupiona, O., Papayannis, A., Mamouri, R.-E., Nisantzi, A., Heese, B., Hofer, J., Schechner, Y. Y., Wandinger, U., and Pappalardo, G.: The unprecedented 2017–2018 stratospheric smoke event: decay phase and aerosol properties observed with the EARLINET, Atmos. Chem. Phys., 19, 15183–15198, https://doi.org/10.5194/acp-19-15183-2019, 2019.
  4. Sicard, M., Granados-Muñoz, M.J., Alados-Arboledas, L., Barragán, R., Bedoya-Velásquez, A.E., Benavent-Oltra, J.A., Bortoli, D., Comerón, A., Córdoba-Jabonero, C., Costa, M.J., del Águila, A., Fernández, A.J., Guerrero-Rascado, J.L., Jorba, O., Molero, F., Muñoz-Porcar, C., Ortiz-Amezcua, P., Papagiannopoulos, N., Potes, M., Pujadas, M., Rocadenbosch, F., Rodríguez-Gómez, A., Román, R., Salgado, R., Salgueiro, V., Sola, Y., Yela, M., Ground/space, passive/active remote sensing observations coupled with particle dispersion modelling to understand the inter-continental transport of wildfire smoke plumes, Remote Sensing of Environment, 232, art. no. 111294, DOI: 10.1016/j.rse.2019.111294, 2019.
  5. Proestakis, E., Amiridis, V., Marinou, E., Binietoglou, I., Ansmann, A., Wandinger, U., Hofer, J., Yorks, J., Nowottnick, E., Makhmudov, A., Papayannis, A., Pietruczuk, A., Gialitaki, A., Apituley, A., Szkop, A., Muñoz Porcar, C., Bortoli, D., Dionisi, D., Althausen, D., Mamali, D., Balis, D., Nicolae, D., Tetoni, E., Liberti, G. L., Baars, H., Mattis, I., Stachlewska, I. S., Voudouri, K. A., Mona, L., Mylonaki, M., Perrone, M. R., Costa, M. J., Sicard, M., Papagiannopoulos, N., Siomos, N., Burlizzi, P., Pauly, R., Engelmann, R., Abdullaev, S., and Pappalardo, G.: EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product, Atmos. Chem. Phys., 19, 11743–11764, https://doi.org/10.5194/acp-19-11743-2019, 2019.
  6. Voudouri, K. A., Siomos, N., Michailidis, K., Papagiannopoulos, N., Mona, L., Cornacchia, C., Nicolae, D., and Balis, D.: Comparison of two automated aerosol typing methods and their application to an EARLINET station, Atmos. Chem. Phys., 19, 10961–10980, https://doi.org/10.5194/acp-19-10961-2019, 2019.
  7. M. Bilal, M. Nazeer, J.E. Nichol, M.P. Bleiweiss, Z. Qiu, E. Jäkel, J.R. Campbell, L. Atique, X. Huang and Simone Lolli, A Simplified and Robust Surface Reflectance Estimation Method (SREM) for Use over Diverse Land Surfaces Using Multi-Sensor Data, Remote Sens., 11, 1344; https://doi.org/10.3390/rs11111344, 2019.
  8. M. Bilal, M. Nazeer, J. Nichol, M.P. Bleiweiss, Z. Qiu, X. Shen, J.R. Campbell, and Simone Lolli, Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014, Remote Sens., 11, 486; https://doi.org/10.3390/rs11050486, 2019.
  9. Oyola, M. I., Campbell, J. R., Xian, P., Bucholtz, A., Ferrare, R. A., Burton, S. P., Kalashnikova, O., Ruston, B. C., and Lolli, S.: Quantifying the direct radiative effect of absorbing aerosols for numerical weather prediction: a case study, Atmos. Chem. Phys., 19, 205-218, https://doi.org/10.5194/acp-19-205-2019, 2019.

2018

  1. N. Papagiannopoulos, Mona, L., Amodeo, A., D’Amico, G., Gumà Claramunt, P., Pappalardo, G., Alados-Arboledas, L., Guerrero-Rascado, J. L., Amiridis, V., Apituley, A., Baars, H., Schwarz, A., Wandinger, U., Binietoglou, I., Nicolae, D., Bortoli, D., Comerón, A., Rodríguez-Gómez, A., Sicard, M., Kokkalis, P., Papayannis, A., and Wiegner, M.: An automatic observation-based typing method for EARLINET, Atmos. Chem. Phys., 18, 15879-15901, https://doi.org/10.5194/acp-18-15879-2018, 2018.
  2. A. Benedetti, Reid, J. S., Knippertz, P., Marsham, J. H., Di Giuseppe, F., Rémy, S., Basart, S., Boucher, O., Brooks, I. M., Menut, L., Mona, L., Laj, P., Pappalardo, G., Wiedensohler, A., Baklanov, A., Brooks, M., Colarco, P. R., Cuevas, E., da Silva, A., Escribano, J., Flemming, J., Huneeus, N., Jorba, O., Kazadzis, S., Kinne, S., Popp, T., Quinn, P. K., Sekiyama, T. T., Tanaka, T., and Terradellas, E.: Status and future of numerical atmospheric aerosol prediction with a focus on data requirements, Atmos. Chem. Phys., 18, 10615-10643, https://doi.org/10.5194/acp-18-10615-2018, 2018.
  3. S. Lolli, D’Adderio, L.P.; Campbell, J.R.; Sicard, M.; Welton, E.J.; Binci, A.; Rea, A.; Tokay, A.; Comerón, A.; Barragan, R.; Baldasano, J.M.; Gonzalez, S.; Bech, J.; Afflitto, N.; Lewis, J.R.; Madonna, F., Vertically Resolved Precipitation Intensity Retrieved through a Synergy between the Ground-Based NASA MPLNET Lidar Network Measurements, Surface Disdrometer Datasets and an Analytical Model Solution, Remote Sens., 10(7), 1102; https://doi.org/10.3390/rs10071102, 2018..
  4. F. Madonna, Rosoldi, M., Lolli, S., Amato, F., Vande Hey, J., Dhillon, R., Zheng, Y., Brettle, M., and Pappalardo, G.: Intercomparison of aerosol measurements performed with multi-wavelength Raman lidars, automatic lidars and ceilometers in the framework of INTERACT-II campaign, Atmos. Meas. Tech., 11, 2459-2475, https://doi.org/10.5194/amt-11-2459-2018, 2018.
  5. F. Finazzi, Fassò A., Madonna F., Negri I., Sun B., Rosoldi M., Statistical harmoniza-tion and uncertainty assessment in the comparison of satellite and radiosonde climate variables. Environmetrics, e2528, https://doi.org/10.1002/env.2528, 2018.
  6. A. Garzelli, B. Aiazzi, L. Alparone, S. Lolli, and G. Vivone, Multispectral pansharpening with radiative transfer-based detail-injection modeling for preserving changes in vegetation cover, Remote Sens., 10(8), 1308; https://doi.org/10.3390/rs10081308, 2018.
  7. A. K. Georgoulias, A. Tsikerdekis, V. Amiridis, E. Marinou, A. Benedetti, P. Zanis, G. Alexandri, L. Mona, K. A. Kourtidis, and J. Lelieveld, A 3-D evaluation of the MACC reanalysis dust product over Europe, northern Africa and Middle East using CALIOP/CALIPSO dust satellite observations ,Atmos. Chem. Phys., 18, 8601–8620, https://doi.org/10.5194/acp-18-8601-2018, 2018.
  8. L. Belegante, J. Antonio Bravo-Aranda, V. Freudenthaler, D. Nicolae, A. Nemuc, L. Alados-Arboledas, A. Amodeo, G. Pappalardo, G. D’Amico, R. Engelmann, H. Baars, U. Wandinger, A. Papayannis, P. Kokkalis, and S. N. Pereira, Experimental techniques for the calibration of lidar depolarization channels in EARLINET, Atmos. Meas. Tech., 11, 1119-1141, https://doi.org/10.5194/amt-11-1119-2018, 2018.
  9. S. Lolli, Madonna, F., Rosoldi, M., Campbell, J. R., Welton, E. J., Lewis, J. R., Gu, Y., and Pappalardo, G.: Impact of varying lidar measurement and data processing techniques in evaluating cirrus cloud and aerosol direct radiative effects, Atmos. Meas. Tech., 11, 1639-1651, https://doi.org/10.5194/amt-11-1639-2018, 2018.
  10. A. Fassò, F. Finazzi, F. Madonna, Statistical issues in radiosonde observation of atmospheric temperature and humidity profiles, Statistics and Probability Letters 136, 97–100, https://doi.org/10.1016/j.spl.2018.02.027, 2018.

2017

  1. Thorne, P. W., Madonna, F., Schulz, J., Oakley, T., Ingleby, B., Rosoldi, M., Tramutola, E., Arola, A., Buschmann, M., Mikalsen, A. C., Davy, R., Voces, C., Kreher, K., De Maziere, M., and Pappalardo, G.: Making better sense of the mosaic of environmental measurement networks: a system-of-systems approach and quantitative assessment, Geosci. Instrum. Method. Data Syst., 6, 453-472, https://doi.org/10.5194/gi-6-453-2017, 2017.
  2. S. Lolli, L. Alparone, A. Garzelli, and G. Vivone, Haze Correction for Contrast-Based Multispectral Pansharpening, IEEE Geoscience and Remote Sensing Letters, Vol. 14, No. 12, 2255-2259, doi: 10.1109/LGRS.2017.2761021, 2017.
  3. Marinou, E., Amiridis, V., Binietoglou, I., Tsikerdekis, A., Solomos, S., Proestakis, E., Konsta, D., Papagiannopoulos, N., Tsekeri, A., Vlastou, G., Zanis, P., Balis, D., Wandinger, U., and Ansmann, A.: Three-dimensional evolution of Saharan dust transport towards Europe based on a 9-year EARLINET-optimized CALIPSO dataset, Atmos. Chem. Phys., 17, 5893-5919, doi:10.5194/acp-17-5893-2017, 2017.
  4. R. Barragan, M. Sicard, J. Totems, J. F. Léon, F. Dulac, M. Mallet, J. Pelon, L. Alados-Arboledas, A. Amodeo, P. Augustin, A. Boselli, J. A. Bravo-Aranda, P. Burlizzi, P. Chazette, A. Comerón, G. D’Amico, P. Dubuisson, M. J. Granados-Muñoz, G. Leto, J. L. Guerrero-Rascado, F. Madonna, L. Mona, C. Muñoz-Porcar, G. Pappalardo, M. R. Perrone, V. Pont, F. Rocadenbosch, A. Rodriguez-Gomez, S. Scollo, N. Spinelli, G. Titos, X. Wang, R. Zanmar Sanchez, Spatio-temporal monitoring by ground-based and air- and space-borne lidars of a moderate Saharan dust event affecting southern Europe in June 2013 in the framework of the ADRIMED/ChArMEx campaign, Air Qual Atmos Health, 10.261-285, doi: 10.1007/s11869-016-0447-7, 2017.

2016

  1. S. Nickovic, Cvetkovic, B., Madonna, F., Rosoldi, M., Pejanovic, G., Petkovic, S., and Nikolic, J.: Cloud ice caused by atmospheric mineral dust – Part 1: Parameterization of ice nuclei concentration in the NMME-DREAM model, Atmos. Chem. Phys., 16, 11367-11378, https://doi.org/10.5194/acp-16-11367-2016, 2016.
  2. T. Petäjä, E. O’Connor, D. Moisseev, V. Sinclair, A. Manninen, R. Väänänen, A. von Lerber, J. Thornton, K. Nicoll, W. Petersen, V. Chandrasekar, J. Smith, P. Winkler, O. Krüger, H. Hakola, H. Timonen, D. Brus, T. Laurila, E. Asmi, M. Riekkola, L. Mona, P. Massoli, R. Engelmann, M. Komppula, J. Wang, C. Kuang,J. Bäck, A. Virtanen, J. Levula, M. Ritsche, and N. Hickmon, 2016: BAECC A field campaign to elucidate the impact of Biogenic Aerosols on Clouds and Climate. Bull. Amer. Meteor. Soc., vol. 97, issue 10, pp. 1909-1928, doi:10.1175/BAMS-D-14-00199.1, 2016.
  3. M. J. Granados-Muñoz, F. Navas-Guzmán, J. L. Guerrero-Rascado, J. A. Bravo-Aranda, I. Binietoglou, S. N. Pereira, S. Basart, J. M. Baldasano, L. Belegante, A. Chaikovsky, A. Comerón, G. D’Amico, O. Dubovik, L. Ilic, P. Kokkalis, C. Muñoz-Porcar, S. Nickovic, D. Nicolae, F. J. Olmo, A. Papayannis, G. Pappalardo, A. Rodríguez, K. Schepanski, M. Sicard, A. Vukovic, U. Wandinger, F. Dulac, and L. Alados-Arboledas: Profiling of aerosol microphysical properties at several EARLINET/AERONET sites during July 2012 ChArMEx/EMEP campaign, Atmos. Chem. Phys., 16, 7043-7066, doi:10.5194/acp-16-7043-2016, 2016.
  4. M. Sicard, R. Barragan, C. Muñoz-Porcar, A. Comerón, M. Mallet, F. Dulac, J. Pelon, L. Alados Arboledas, A. Amodeo, A. Boselli, J. A. Bravo-Aranda, G. D’amico, M. J. Granados Muñoz, G. Leto, J. L. Guerrero Rascado, F. Madonna, L. Mona, G. Pappalardo, M. R. Perrone, P. Burlizzi, F. Rocadenbosch, A. Rodríguez-Gómez, S. Scollo, N. Spinelli, G. Titos, X. Wang & R. Zanmar Sanchez, Contribution of EARLINET/ACTRIS to the summer 2013 Special Observing Period of the ChArMEx project: monitoring of a Saharan dust event over the western and central Mediterranean, International Journal of Remote Sensing, 37:19, 4698-4711, DOI: 10.1080/01431161.2016.1222102, 2016.
  5. S. Nickovic, Cvetkovic, B., Madonna, F., Rosoldi, M., Pejanovic, G., Petkovic, S., and Nikolic, J.: Predicting cloud ice nucleation caused by atmospheric mineral dust, Atmos. Chem. Phys., 16, 11367-11378, doi:10.5194/acp-16-11367-2016, 2016.
  6. I. Mattis, G. D’Amico, H. Baars, A. Amodeo, F. Madonna, and M. Iarlori, EARLINET Single Calculus Chain – technical Part 2: Calculation of optical products, Atmos. Meas. Tech., 9, 3009-3029, doi:10.5194/amt-9-3009-2016, 2016.
  7. J. A. Bravo-Aranda, L. Belegante, V. Freudenthaler, A. Alados-Arboledas, D. Nicolae, M. J. Granados-Muñoz, J. L. Guerrero-Rascado, A. Amodeo, G. D’Amico, R. Engelmann, G. Pappalardo, P. Kokkalis, R. Mamouri, A. Papayannis, F. Navas-Guzmán, F. J. Olmo, U. Wandinger, and M. Haeffelin, Assessment of lidar depolarization uncertainty by means of a polarimetric lidar simulator, Atmos. Chem. Phys., 16, 11367-11378, doi:10.5194/acp-16-11367-2016, 2016.
  8. D. Balis, M. E. Koukouli, N. Siomos, S. Dimopoulos, L. Mona, G. Pappalardo, F. Marenco, L. Clarisse, L. J. Ventress, E. Carboni, R. G. Grainger, P. Wang, N. Theys, and C. Zehner: Validation of ash optical depth and layer height retrieved from passive satellite sensors using EARLINET and airborne lidar data: The case of the Eyjafjallajökull eruption, Atmos. Chem. Phys., 16, 5705-5720, doi:10.5194/acp-16-5705-2016, 2016.
  9. G. D’Amico, A. Amodeo, I. Mattis, V. Freudenthaler, and G. Pappalardo: EARLINET Single Calculus Chain – technical – Part 1: Pre-processing of raw lidar data, Atmos. Meas. Tech., 9, 491-507, doi:10.5194/amt-9-491-2016, 2016.
  10. Haeffelin, M., S. Crewell, A. J. Illingworth, G. Pappalardo, H. Russchenberg, M. Chiriaco, K. Ebell, R. J. Hogan, F. Madonna: Parallel developments and formal collaborations between European atmospheric profiling observatories and US ARM research programs, in “The Atmospheric Radiation Measurement (ARM) Program: The First 20 Years”, American Meteorological Society Monograph series, April 2016, Chapter 29, pp. 29.1-29.34, DOI: http://dx.doi.org/10.1175/AMSMONOGRAPHS-D-15-0045.1, 2016.
  11. A. Chaikovsky, O. Dubovik, B. Holben, A. Bril, P. Goloub, D. Tanré, G. Pappalardo, U. Wandinger, L. Chaikovskaya, S. Denisov, Y. Grudo, A. Lopatin, Y. Karol, T. Lapyonok, V. Amiridis, A. Ansmann, A. Apituley, L. Allados-Arboledas, I. Binietoglou, A. Boselli, G. D’Amico, V. Freudenthaler, D. Giles, M. J. Granados-Muñoz, P. Kokkalis, D. Nicolae, S. Oshchepkov, A. Papayannis, M. R. Perrone, A. Pietruczuk, F. Rocadenbosch, M. Sicard, I. Slutsker, C. Talianu, F. De Tomasi, A. Tsekeri, J. Wagner, and X. Wang: Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: development and distribution in EARLINET, Atmos. Meas. Tech., 9, 1181-1205, doi:10.5194/amt-9-1181-2016, 2016.
  12. U. Wandinger, V. Freudenthaler, H. Baars, A. Amodeo, R. Engelmann, I. Mattis, S. Groß, G. Pappalardo, A. Giunta, G. D’Amico, A. Chaikovsky, F. Osipenko, A. Slesar, D. Nicolae, L. Belegante, C. Talianu, I. Serikov, H. Linné, F. Jansen, A. Apituley, K. M. Wilson, M. de Graaf, T. Trickl, H. Giehl, M. Adam, A. Comerón, C. Muñoz, F. Rocadenbosch, M. Sicard, S. Tomás, D. Lange, D. Kumar, M. Pujadas, F. Molero, A. J. Fernández, L. Alados-Arboledas, J. A. Bravo-Aranda, F. Navas-Guzmán, J. L. Guerrero-Rascado, M. J. Granados-Muñoz, J. Preißler, F. Wagner, M. Gausa, I. Grigorov, D. Stoyanov, M. Iarlori, V. Rizi, N. Spinelli, A. Boselli, X. Wang, T. Lo Feudo, M. R. Perrone, F. De Tomasi, and P. Burlizzi: EARLINET instrument intercomparison campaigns: overview on strategy and results, Atmos. Meas. Tech., 9, 1001-1023, doi:10.5194/amt-9-1001-2016, 2016.
  13. N. Papagiannopoulos, L. Mona, L. Alados-Arboledas, V. Amiridis, H. Baars, I. Binietoglou, D. Bortoli, G. D’Amico, A. Giunta, J. L. Guerrero-Rascado, A. Schwarz, S. Pereira, N. Spinelli, U. Wandinger, X. Wang, and G. Pappalardo: CALIPSO climatological products: evaluation and suggestions from EARLINET, Atmos. Chem. Phys., 16, 2341-2357, doi:10.5194/acp-16-2341-2016, 2016.

2015

  1. Bodeker, G., S. Bojinski, D. Cimini, R. Dirksen, M. Haeffelin, J. Hannigan, D. Hurst, T. Leblanc, F. Madonna, M. Maturilli, A. Mikalsen, R. Philipona, T. Reale, D. Seidel, D. Tan, P. Thorne, H. Vömel, and J. Wang, 2015: Reference upper-air AMERICAN METEOROLOGICAL SOCIETY observations for climate: From concept to reality. Bull. Amer. Meteor. Soc. doi:10.1175/BAMS-D-14-00072.1, 2015.
  2. Sicard, M., G. D’Amico, A. Comerón, L. Mona, L. Alados-Arboledas, A. Amodeo, H. Baars, L. Belegante, I. Binietoglou, J. A. Bravo-Aranda, A. J. Fernández, P. Fréville, D. García-Vizcaíno, A. Giunta, M. J. Granados-Muñoz, J. L. Guerrero-Rascado, D. Hadjimitsis, A. Haefele, M. Hervo, M. Iarlori, P. Kokkalis, D. Lange, R. E. Mamouri, I. Mattis, F. Molero, N. Montoux, A. Muñoz, C. Muñoz Porcar, F. Navas-Guzmán, D. Nicolae, A. Nisantzi, N. Papagiannopoulos, A. Papayannis, S. Pereira, J. Preißler, M. Pujadas, V. Rizi, F. Rocadenbosch, K. Sellegri, V. Simeonov, G. Tsaknakis, F. Wagner, and G. Pappalardo: EARLINET: potential operationality of a research network, Atmos. Meas. Tech., 8, 4587-4613, doi:10.5194/amt-8-4587-2015, (2015).
  3. D’Amico, G., Amodeo, A., Baars, H., Binietoglou, I., Freudenthaler, V., Mattis, I., Wandinger, U., and Pappalardo, G.: EARLINET Single Calculus Chain – general presentation methodology and strategy, Atmos. Meas. Tech., 8, 4891-4916, doi:10.5194/amt-8-4891-2015, (2015).
  4. Iarlori, M., Madonna, F., Rizi, V., Trickl, T., and Amodeo, A.: Effective resolution concepts for lidar observations, Atmos. Meas. Tech., 8, 5157-5176, doi:10.5194/amt-8-5157-2015, 2015.
  5. Madonna, F., Amato, F., Vande Hey, J., and Pappalardo, G.: Ceilometer aerosol profiling versus Raman lidar in the frame of the INTERACT campaign of ACTRIS, Atmos. Meas. Tech., 8, 2207-2223, doi:10.5194/amt-8-2207-2015, (2015).
  6. Amiridis, V., Marinou, E., Tsekeri, A., Wandinger, U., Schwarz, A., Giannakaki, E., Mamouri, R., Kokkalis, P., Binietoglou, I., Solomos, S., Herekakis, T., Kazadzis, S., Gerasopoulos, E., Balis, D., Papayannis, A., Kontoes, C., Kourtidis, K., Papagiannopoulos, N., Mona, L., Pappalardo, G., Le Rille, O., and Ansmann, A.: LIVAS: a 3-D multi-wavelength aerosol/cloud climatology based on CALIPSO and EARLINET, Atmos. Chem. Phys., 15, 7127-7153, doi:10.5194/acp-15-7127-2015, (2015).
  7. Binietoglou, I., S. Basart, L. Alados-Arboledas,4, V. Amiridis, A. Argyrouli, H. Baars, J. M. Baldasano, D. Balis, L. Belegante, J. A. Bravo-Aranda, P. Burlizzi, V. Carrasco, A. Chaikovsky, A. Comerón, G. D’Amico, M. Filioglou, M. J. Granados-Muñoz, J. L. Guerrero-Rascado, L. Ilic, P. Kokkalis, A. Maurizi, L. Mona, F. Monti, C. Muñoz-Porcar, D. Nicolae, A. Papayannis, G. Pappalardo, G. Pejanovic, S. N. Pereira, M. R. Perrone, A. Pietruczuk, M. Posyniak, F. Rocadenbosch, A. Rodríguez-Gómez, M. Sicard, N. Siomos, A. Szkop, E. Terradellas, A. Tsekeri, A. Vukovic, U. Wandinger, and J. Wagner: A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals, Atmos. Meas. Tech., 8, 3577-3600, doi:10.5194/amt-8-3577-2015, (2015).

2014

  1. Wang, Y., Sartelet, K. N., Bocquet, M., Chazette, P., Sicard, M., D’Amico, G., Léon, J. F., Alados-Arboledas, L., Amodeo, A., Augustin, P., Bach, J., Belegante, L., Binietoglou, I., Bush, X., Comerón, A., Delbarre, H., Garcia-Vizcaino, D., Guerrero-Rascado, J. L., Hervo, M., Iarlori, M., Kokkalis, P., Lange, D., Molero, F., Montoux, N., Muñoz, A., Muñoz, C., Nicolae, D., Papayannis, A., Pappalardo, G., Preissler, J., Rocadenbosch, F., Sellegri, K., Wagner, F., and Dulac, F.: Assimilation of lidar signals: application to aerosol forecasting in the Mediterranean Basin, Atmos. Chem. Phys., 14, 12031–12053, www.atmos-chem-phys.net/14/12031/2014/, doi:10.5194/acp-14-12031-2014, (2014).
  2. Madonna, F., Rosoldi, M., Güldner, J., Haefele, A., Kivi, R., Cadeddu, M. P., Sisterson, D., and Pappalardo, G.: Quantifying the value of redundant measurements at GRUAN sites, Atmos. Meas. Tech., 7, 3813–3823, www.atmos-meas-tech.net/7/3813/2014/, doi:10.5194/amt-7-3813-2014, (2014).
  3. R. Estevan, L. Mona, N. Papagiannopoulos, J.C. Antuña, V. Cachorro, Á. de Frutos, CALIPSO and sunphotometer measurements of Saharan dust events over Camagüey, Opt. Pura Apl. 47 (3) 189-196, (2014).
  4. Cimini, D., V. Rizi, P. Di Girolamo, F. S. Marzano, A. Macke, G. Pappalardo, and A. Richter: Overview: Tropospheric profiling: state of the art and future challenges – introduction to the AMT special issue, Atmos. Meas. Tech., 7, 2981-2986, doi:10.5194/amt-7-2981-2014, (2014).
  5. L. Mona, N. Papagiannopoulos, S. Basart, J. Baldasano, I. Binietoglou, C. Cornacchia, and G. Pappalardo, EARLINET dust observations vs. BSC-DREAM8b modeled profiles: 12-year-long systematic comparison at Potenza, Italy, Atmos. Chem. Phys., 14, 8781–8793, 2014, www.atmos-chem-phys.net/14/8781/2014/, doi:10.5194/acp-14-8781-2014, (2014).
  6. A. Fassò, R. Ignaccolo, F. Madonna, B. B. Demoz, and M. Franco-Villoria, Statistical modelling of collocation uncertainty in atmospheric thermodynamic profiles, Atmos. Meas. Tech., 7, 1803-1816, doi:10.5194/amt-7-1803-2014, (2014).
  7. M. Wiegner, F. Madonna, I. Binietoglou, R. Forkel, J. Gasteiger, A. Geiß, G. Pappalardo, K. Schäfer, and W. Thomas, What is the benefit of ceilometers for aerosol remote sensing? An answer from EARLINET, Atmos. Meas. Tech., 7, 1979–1997, doi:10.5194/amt-7-1979-2014, (2014).
  8. G. Pappalardo, A. Amodeo, A. Apituley, A. Comeron, V. Freudenthaler, H. Linné, A. Ansmann, J. Bösenberg, G. D’Amico, I. Mattis, L. Mona, U. Wandinger, V. Amiridis, L. Alados-Arboledas, D. Nicolae, and M. Wiegner, EARLINET: towards an advanced sustainable European aerosol lidar network, Atmos. Meas. Tech., 7, 2389–2409, www.atmos-meas-tech.net/7/2389/2014/, doi:10.5194/amt-7-2389-2014, (2014).

2013

  1. Rosoldi, M., P. Gumà Claramunt, F. Madonna, A. Amodeo, I. Binietoglou, G. D’amico, A. Giunta, L. Mona, N. Papagiannopoulos, G. Pappalardo, Study of thin clouds at CNR-IMAA Atmospheric Observatory (CIAO), Annals of Geophysics, 56, Fast Track – 1; 7 pages; doi:10.4401/ ag – 6337, (2013)
  2. Kalthoff, N., K. Träumner, S. Späth, B. Adler, A. Wieser, J. Handwerker, A. Behrendt, F. Madonna, Dry and moist convection in the boundary layer over the Black Forest – a combined analysis of in-situ and remote sensing data, Meteorol. Z., vol. 22, n. 4, 445-461, doi: 10.1127/0941-2948/2013/0417, (2013).
  3. Kokkalis, P., Papayannis, A., Amiridis, V., Mamouri, R. E., Veselovskii, I., Kolgotin, A., Tsaknakis, G., Kristiansen, N. I., Stohl, A., and Mona, L.: Optical, microphysical, mass and geometrical properties of aged volcanic particles observed over Athens, Greece, during the Eyjafjallajökull eruption in April 2010 through synergy of Raman lidar and sunphotometer measurements, Atmos. Chem. Phys., 13, 9303-9320, doi:10.5194/acp-13-9303-2013, 2013.
  4. Madonna, F.,  A. Amodeo,  G. D’Amico, and  G. Pappalardo, A study on the use of radar and lidar for characterizing ultragiant aerosol, J. Geophys. Res. Atmos., 118, doi:10.1002/jgrd.50789, (2013).
  5. A. Petzold, J. A. Ogren, M. Fiebig, P. Laj, S.-M. Li, U. Baltensperger, T. Holzer-Popp, S. Kinne, G. Pappalardo, N. Sugimoto, C. Wehrli, A. Wiedensohler, and X.-Y. Zhang, Recommendations for reporting “black carbon” measurements, Atmos. Chem. Phys., 13, 8365–8379, doi:10.5194/acp-13-8365-2013, (2013).
  6. G. Wetzel, H. Oelhaf, G. Berthet, A. Bracher, C. Cornacchia, D. G. Feist, H. Fischer, A. Fix, M. Iarlori, A. Kleinert, A. Lengel, M. Milz, L. Mona, S. C. Müller, J. Ovarlez, G. Pappalardo, C. Piccolo, P. Raspollini, J.-B. Renard, V. Rizi, S. Rohs, C. Schiller, G. Stiller, M. Weber, and G. Zhang, Validation of MIPAS-ENVISAT H2O operational data collected between July 2002 and March 2004, Atmos. Chem. Phys., 13, 5791-5811, doi:10.5194/acp-13-5791-2013, (2013).
  7. G. Pappalardo, L. Mona, G. D’Amico, U. Wandinger, M. Adam, A. Amodeo, A. Ansmann, A. Apituley, L. Alados Arboledas, D. Balis, A. Boselli, J. A. Bravo-Aranda, A. Chaikovsky, A. Comeron, J. Cuesta, F. De Tomasi, V. Freudenthaler, M. Gausa, E. Giannakaki, H. Giehl, A. Giunta, I. Grigorov, S. Groß, M. Haeffelin, A. Hiebsch, M. Iarlori, D. Lange, H. Linné, F. Madonna, I. Mattis, R.-E. Mamouri, M. A. P. McAuliffe, V. Mitev, F. Molero, F. Navas-Guzman, D. Nicolae, A. Papayannis, M. R. Perrone, C. Pietras, A. Pietruczuk, G. Pisani, J. Preißler, M. Pujadas, V. Rizi, A. A. Ruth, J. Schmidt, F. Schnell, P. Seifert, I. Serikov, M. Sicard, V. Simeonov, N. Spinelli, K. Stebel, M. Tesche, T. Trickl, X. Wang, F. Wagner, M. Wiegner, and K. M. Wilson, Four-dimensional distribution of the 2010 Eyjafjallajökull volcanic cloud over Europe observed by EARLINET, Atmos. Chem. Phys., 13, 4429-4450, doi:10.5194/acp-13-4429-2013, (2013).

2012

  1. F. Molero, M. Sicard, F.Navas, Preißler, A. Amodeo, V. Freudenthaler, AJ. Fernandez, S.Tomas, MJ. Granados, F.Wagner, A.Giunta, I. Mattis, M. Pujadas, A. Comeron, L. Alados, JL. Guerrero, G. D’Amico, D. Lange, J. Bravo, D. Kumar, G. Pappalardo, J. Giner, C. Muñoz, F. Rocadenbosch, Study on aerosol properties over Madrid (Spain) by multiple instrumentation during SPALI10 lidar campaign, Special Section: VI Workshop on Lidar Measurements in Latinamerica, Opt. Pura Apl., vol. 45, N. 4, 405-413, DOI: http://dx.doi.org/10.7149/OPA.45.4.405, (2012).
  2. S. Scollo, A. Boselli, M. Coltelli, G. Leto, G. Pisani, N. Spinelli, X. Wang, Monitoring Etna Volcanic Plumes Using a Scanning LIDAR, Bull. Volcanol., 74, 2383–2395, DOI 10.1007/s00445-012-0669-y, (2012).
  3. L. Mona, Z. Liu, D. Müller, A. Omar, A. Papayannis, G. Pappalardo, N. Sugimoto, M. Vaughan, Lidar measurements for desert dust characterization: an Overview, Advances in Meteorology Advances in Meteorology, Volume 2012, Article ID 356265, 36 pages, doi:10.1155/2012/356265, http://www.hindawi.com/journals/amet/2012/356265/ (2012).
  4. G. Pisani, A. Boselli, M. Coltelli, G. Leto, G. Pica, S. Scollo, N. Spinelli, and X. Wang Lidar depolarization measurement of fresh volcanic ash from Mt. Etna, Italy, Atmospheric Environment 62, 34-40, (2012).
  5. P. Sawamura, J. P. Vernier, J. E. Barnes, T. A. Berkoff, E. J. Welton, L. Alados-Arboledas, F. Navas-Guzmán, G. Pappalardo, L. Mona, F. Madonna, D. Lange, M. Sicard, S. Godin-Beekmann, G. Payen, Z. Wang, S. Hu, S. N. Tripathi, C. Cordoba-Jabonero and R. M. Hoff, (2012): Stratospheric AOD after the 2011 eruption of Nabro volcano measured by lidars over the Northern Hemisphere, Environ. Res. Lett. 7, 034013 (9pp), doi:10.1088/1748-9326/7/3/034013.
  6. P. Pornsawad, G. D’Amico, C. Böckmann, A. Amodeo, and G. Pappalardo, (2012): Retrieval of aerosol extinction coefficient profiles from Raman lidar data by inversion method, Applied Optics, Vol. 51, Issue 12, pp. 2035-2044, doi: 10.1364/AO.51.002035.
  7. Mona, L., Amodeo, A., D’Amico, G., Giunta, A., Madonna, F., and Pappalardo, G.: Multi-wavelength Raman lidar observations of the Eyjafjallajökull volcanic cloud over Potenza, southern Italy, Atmos. Chem. Phys., 12, 2229-2244, doi:10.5194/acp-12-2229-2012, 2012.
  8. Matthias V., A. Aulinger, J. Bieser, J. Cuesta, B. Geyer, B. Langmann, I. Serikov, I. Mattis, A. Minikin, L. Mona, M. Quante, U. Schumann, B. Weinzierl, (2012) The ash dispersion over Europe during the Eyjafjallajökull eruption – comparison of CMAQ simulations to remote sensing and air-borne in-situ observations, Atmospheric Environment, Volume 48, March 2012, Pages 184-194, doi:10.1016/j.atmosenv.2011.06.077.
  9. M. Campanelli, V. Estelles, T. Smyth, C. Tomasi, M.P. Martìnez-Lozano, B. Claxton, P. Muller, G. Pappalardo, A. Pietruczuk, J. Shanklin, S. Colwell, C. Wrench, A. Lupi, M. Mazzola, C. Lanconelli, V. Vitale, F. Congeduti, D. Dionisi, F. Cardillo, M. Cacciani, G. P. Casasanta, T. Nakajima, (2012) Monitoring of Eyjafjallajökull volcanic aerosol by the new European Skynet Radiometers (ESR) network, Atmospheric Environment, Volume 48, March 2012, Pages 33–45, doi:10.1016/j.atmosenv.2011.09.070
  10. A. Boselli, R. Caggiano, C. Cornacchia, F. Madonna, M. Macchiato, L. Mona, G. Pappalardo, S. Trippetta, (2012) Multi year sun-photometer measurements for aerosol characterization in a Central Mediterranean site, Atmos. Res., Volume 104, February 2012, Pages 98-110  doi:10.1016/j.atmosres.2011.08.002.
  11. J. Meier, I. Tegen, I. Mattis, R. Wolke, L. Alados Arboledas, c, A. Apituley, D. Balis, F. Barnaba, A. Chaikovsky, M. Sicard, G. Pappalardo, A. Pietruczuk, D. Stoyanov, F. Ravetta, V. Rizi, (2012) A regional model of European aerosol transport: Evaluation with sun photometer, lidar and air quality data, Atmospheric Environment, Volume 47, February 2012, Pages 519–532, doi:10.1016/j.atmosenv.2011.09.029.

2011

  1. Pisani G., Boselli A., Spinelli N., Wang X, (2011) Characterization of Saharan dust layers over Naples (Italy) during 2000-2003 EARLINET project, Atmos. Res. Volume 102, Issue 3, November 2011, Pages 286-299 , doi: 10.1016/j.atmosres.2011.07.012.
  2. F. Madonna, A. Amodeo, A. Boselli, C. Cornacchia, V. Cuomo, G. D’Amico, A. Giunta, L. Mona, and G. Pappalardo, (2011) CIAO: the CNR-IMAA advanced observatory for atmospheric research, Atmos. Meas. Tech., 4, 1191-1208, www.atmos-meas-tech.net/4/1191/2011/ doi:10.5194/amt-4-1191-2011.
  3. Wulfmeyer V., A. Behrendt, C. Kottmeier, U. Corsmeier, C. Barthlott, G. Craig, M. Hagen, D. Althausen, F. Aoshima, H.-S. Bauer, J. van Baelen, L. Bennett, A. Blyth, C. Brandau, S. Crewell, G. Dick, M. Dorninger, Y. Dufournet, G. Ehret, R. Engelmann, C. Flamant, T. Foken, P. Di Girolamo, P. Groenemeijer, M. Grzeschik, J. Handwerker, C. Hauck, H. Höller, W. Junkermann, N. Kalthoff, C. Kiemle, S. Klink, M. König, H.-J. Koppert, L. Krauss, C. N. Long, F. Madonna, S. Mobbs, B. Neininger, S. Pal, G. Peters, G. Pigeon, M. Radlach, E. Richard, M. Rotach, H. Russchenberg, U. Schumann, T. Schwitalla, C. Simmer, V. Smith, R. Steinacker, D. Turner, S. Vogt, H. Volkert, T. Weckwerth, H. Wernli, A. Wieser, C. Wunram (2011), The Convective and Orographically Induced Precipitation Study (COPS): The scientific strategy, the field phase, and first highlights, Q. J. Royal Metorol. Soc., Volume 137, Issue S1, January 2011, Pages: 3–30, doi:10.1002/qj.752.

2010

  1. Pappalardo, G., U. Wandinger, L. Mona, A. Hiebsch, I. Mattis, A. Amodeo, A. Ansmann, P. Seifert, H. Linne, A. Apituley, L. Alados Arboledas, D. Balis, A. Chaikovsky, G. D’Amico, F. De Tomasi, V. Freudenthaler, E. Giannakaki, A. Giunta, I. Grigorov, M. Iarlori, F. Madonna, R.-E. Mamouri, L. Nasti, A. Papayannis, A. Pietruczuk, M. Pujadas, V. Rizi, F. Rocadenbosch, F. Russo, F. Schnell, N. Spinelli, X. Wang, and M. Wiegner (2010) EARLINET correlative measurements for CALIPSO: first intercomparison results, J. Geophys. Res., 115, D00H19, doi:10.1029/2009JD012147.
  2. Madonna F., A. Amodeo, G. D’Amico, L. Mona, and G. Pappalardo (2010), Observation of non-spherical ultragiant aerosol using a microwave radar, Geophys. Res. Lett., 37, L21814, doi:10.1029/2010GL044999.

2009

  1. A. Boselli, M. Armenante, L. D’Avino, M. D’Isidoro, G. Pisani, N. Spinelli, X. Wang, Atmospheric Aerosol Characterization Over Naples During 2000-2003 EARLINET Project: Planetary Boundary-Layer Evolution and Layering, Boundary-Layer Meteorology, Volume: 132   Issue: 1   Pages: 151-165, 2009.
  2. Laj P., J. Klausen, M. Bilde, C. Plab-Duelmer, G. Pappalardo, C. Clerbaux, U. Baltensperger, J. Hjorth, D. Simpson, S. Reimann, P. F. Coheur, A. Richter, M. de Mazière, Y. Rudich, G. McFiggans, K. Torseth, A. Wiedensohler, S. Morin, M. Schulz, J. Allan, J. L. Attié, I. Barnes, W. Birmilli, P. Cammas, J. Dommen, H. P. Dorn, S. Fuzzi, M. Glasius, M. Hermann, S. Kinne, I. Koren, F. Madonna, M. Maione, A. Massling, O. Moehler, L. Mona, D. Müller, T. Müller, J. Orphal, V. H. Peuch, F. Stratmann, D. Tanré, G. Tyndall, A. A. Riziq, M. Van Roozendael, P. Villani, B. Weiner, H. Wex, A. Zardini – Measuring Atmospheric Composition Changes –Atmospheric Environment, Vol. 43, No. 33. (2009), pp. 5351-5414. doi:10.1016/j.atmosenv.2009.08.020
  3. Cuomo V, De Martino S, Falanga M, Mona L ., Influence of local dust source and stochastic fluctuations on Saharan aerosol index dynamics – Int. Jour. Mod. Phys. B, vol 23, Issue 28-29, 5383-5390, 2009.
  4. Madonna, F., F. Russo, R. Ware, and G. Pappalardo (2009), Mid-tropospheric supercooled liquid water observation consistent with nucleation induced by a mountain lee wave, Geophys. Res. Lett., 36, L18802, doi:10.1029/2009GL039545.
  5. Mona L., G. Pappalardo, A. Amodeo, G. D’Amico, F. Madonna, A. Boselli, A. Giunta, F. Russo, V. Cuomo, (2009): One year of CNR-IMAA multi-wavelength Raman lidar measurements in coincidence with CALIPSO overpasses: Level 1 products comparison, Atmos. Chem. Phys., 9, 7213–7228, 2009, www.atmos-chem-phys.net/9/7213/2009/, doi: doi:10.5194/acpd-9-8429-2009
  6. D. Müller, B. Heinold, M. Tesche, I. Tegen, D. Althausen, L. Alados Arboledas, V. Amiridis, A. Amodeo, A. Ansmann, D. Balis, A. Comeron, G. D’amico, E. Gerasopoulos, J. L. Guerrero-Rascado, V. Freudenthaler, E. Giannakaki, B. Heese, M. Iarlori, P. Knippertz, R. E. Mamouri, L. Mona, A. Papayannis, G. Pappalardo, R.-M. Perrone , G. Pisani, V. Rizi, M. Sicard, N. Spinelli, A. Tafuro and M. Wiegner, “EARLINET observations of the 14-22-May long-range dust transport event during SAMUM 2006: validation of results from dust transport modelling”, TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY Volume: 61 Issue: 1 Pages: 325-339 Published: FEB 2009.

2008

  1. Wang Χ., A. Boselli, L. D’Avino, G. Pisani, N. Spinelli, A. Amodeo, A.  Chaikovsky, M. Wiegner, S. Nickovic, A. Papayannis, M.R. Perrone, V. Rizi, L. Sauvage and A. Stohl, Volcanic dust characterization by EARLINET during Etna’s eruptions in 2001-2002, Atmospheric Environment ,Vol. 42, Issue 5, 893–905, 2008.
  2. Papayannis A., V. Amiridis, L. Mona, G. Tsaknakis, D. Balis, J. Bösenberg, A. Chaikovski, F. De Tomasi, I. Grigorov, I. Mattis, V. Mitev, D. Müller, S. Nickovic, C. Pérez, A. Pietruczuk, G. Pisani, F. Ravetta, V. Rizi, M. Sicard, T. Trickl, M. Wiegner, M. Gerding, R. E. Mamouri, G. D’Amico and G. Pappalardo, “Systematic lidar observations of Saharan dust over Europe in the frame of EARLINET (2000-2002)”, Journal of Geophysical Research, 113, doi:10.1029/2007JD009028, 2008.
  3. J. P. Taylor ,W. Smith, V. Cuomo, A. Larar, D. Zhou, C. Serio, T. Maestri, R. Rizzi, S. Newman, P. Antonelli, S. Mango, P. Di Girolamo, F. Esposito, G. Grieco, D. Summa, R. Restieri, G. Masiello, F. Romano, G. Pappalardo, G. Pavese, L. Mona, A. Amodeo, G. Pisani, EAQUATE – An International Experiment For Hyper-spectral Atmospheric Sounding Validation, BAMS, 203-218, February 2008.
  4. G. Pica, A. Boselli, F. Castaldo, R. Fusco, S. Mattei, M.R. Santovito, X. Wang, New prototype of very compact LIDAR for atmospheric particulate monitoring, Journal of Optoelectronic and advanced material, Vol. 10, No. 11, p. 3111 – 3116 (2008).

2007

  1. Daniel K. Zhou, W.L. Smith, V. Cuomo, J.P. Taylor, C.D. Barnet, P. Di Girolamo, G. Pappalardo, A.M. Larar, X. Liu, S.M. Newman, C. Lee, and S.A. Mango, Retrieval validation during the European Aqua Thermodynamic Experiment, Quarterly Journal of Royal Meteorology Society, 133 (S3) 203-215 (2007).
  2. L. Mona, C. Cornacchia, G. D’Amico, P. Di Girolamo, G. Pappalardo, G. Pisani, D. Summa, X. Wang, V. Cuomo, Characterization of the variability of the humidity and cloud fields as observed from a cluster of ground-based lidar systems, Quarterly Journal of Royal Meteorology Society, 133: (S3) 257–271 (2007).
  3. M. Ridolfi, U. Blum, B. Carli, V. Catoire, S. Ceccherini, H. Claude, C. De Clercq, K. H. Fricke, F. Friedl-Vallon, M. Iarlori, P. Keckhut, B. Kerridge, J.-C. Lambert, Y. J. Meijer, L. Mona, H. Oelhaf, G. Pappalardo, M. Pirre, V. Rizi, C. Robert, D. Swart, T. von Clarmann, A. Waterfall, and G. Wetzel – Geophysical validation of temperature retrieved by the ESA processor from MIPAS/ENVISAT atmospheric limb-emission measurements  – Atmos. Chem. Phys., 7, 4459-4487, 2007.

2006

  1. L. Mona, A. Amodeo, M. Pandolfi, G. Pappalardo – Saharan dust intrusions in the Mediterranean area: Three years of Raman lidar measurements – J. Geophys. Res., vol. 111, D16203, doi:10.1029/2005JD006569, 2006
  2. M.G. Villani, L. Mona, A. Maurizi, G. Pappalardo, A. Tiesi, M. Pandolfi, M. D’Isidoro, V. Cuomo, F. Tampieri, Transport of volcanic aerosol in the troposphere: the case study of the 2002 Etna plume, J. Geophys. Res., Vol. 111, No. D21, D21102, doi:10.1029/2006JD007126, 2006.
  3. F. Madonna, A. Amodeo, C. Cornacchia, G. D’Amico, L. Mona, M.Pandolfi, G. Pappalardo, V. Cuomo – Multichannel microwave radiometer and water vapour Raman lidar: comparisons and synergies – AITinforma – Rivista Italiana di telerilevamento, 35, 115-130, 2006
  4. A. Amodeo, J. Bösenberg, A. Ansmann, D. Balis, C. Böckmann, A. Chaikovsky, A. Comeron, V. Mitev, A. Papayannis, G. Pappalardo, M. R. Perrone, V. Rizi, V. Simeonov, P. Sobolewski, N. Spinelli, D. V. Stoyanov, T. Trickl, M. Wiegner –  EARLINET: the European Aerosol Lidar Network – Optica Pura y Aplicada, of the Optical Spanish Society, vol. 39, N. 1, 2006.
  5. Bassani C., Cavalli R. M., Palombo A., Pignatti S. and Madonna F., (2006), Laboratory activity for a new procedure of MIVIS calibration and relative validation with test data, Annals of Geophysics, Vol. 49, N.1, February, pag. 45-56.

2005

  1. S. Guibert, V. Matthias, M. Schulz, J. Bösenberg, R. Eixmann, I. Mattis, G. Pappalardo, M. Rita Perrone, N. Spinelli, and G. Vaughan, 2005: “The vertical distribution of aerosol over Europe: synthesis of one year of EARLINET aerosol lidar measurements and aerosol transport modeling with LMDzT-INCA.”, Atmos. environ. 39, 2933-2943.
  2. Wang, A. Boselli, L.D’Avino, R. Velotta, N. Spinelli, P. Bruscaglioni, A. Ismaelli, G. Zaccanti, An algorithm to determine cirrus properties from analysis of multiple-scattering influence on lidar signals, Appl. Phys.B, 80, 609-615, (2005).

2004

  1. V. Matthias, J. Bösenberg, V. Freudenthaler, A. Amodeo, D. Balis, A. Chaikovsky, G. Chourdakis, A. Comeron, A. Delaval, F. de Tomasi, R. Eixmann, A. Hågård, L. Komguem, S. Kreipl, R. Matthey, I. Mattis, V. Rizi, J.A. Rodriguez, V. Simeonov, X. Wang, “Aerosol lidar intercomparison in the framework of the EARLINET project. 1. Instruments”, Appl. Opt. 43, N. 4, 961-976, 2004.
  2. C. Böckmann, U. Wandinger, A. Ansmann, J. Bösenberg, V. Amiridis, A. Boselli, A. Delaval, F. De Tomasi, M. Frioud, A. Hågård, M. Horvat, M. Iarlori, L. Komguem, S. Kreipl, G. Larchevêque, V. Matthias, A. Papayannis, G. Pappalardo, F. Rocadembosch, J.A. Rodriguez, J. Schneider, V. Shcherbakov, M. Wiegner, “Aerosol lidar intercomparison in the framework of the EARLINET project. 2. Aerosol backscatter algorithms”, Appl. Opt. 43, N. 4, 977-989, 2004.
  3. G. Pappalardo, A. Amodeo, M. Pandolfi, U. Wandinger, A. Ansmann, J. Bosenberg, V. Matthias, V. Amiridis, F. De Tomasi, M. Frioud, M. Iarlori, L. Komguem, A. Papayannis, F. Rocadenbosch, and X. Wang, “Aerosol lidar intercomparison in the framework of the EARLINET project. 3. Raman lidar algorithm for aerosol extinction, backscatter and lidar ratio” Appl. Opt., 43. N. 28, 5370-5385, 2004.
  4. V. Matthias, D. Balis, J. Bösenberg, R. Eixmann, M. Iarlori, L. Komguem, I. Mattis, A. Papayannis, G. Pappalardo, M. R. Perrone, and X. Wang, “Vertical aerosol distribution over Europe: Statistical analysis of Raman lidar data from 10 European Aerosol Research Lidar Network (EARLINET) stations” J. Geophys. Res., 109, D18201, doi: 10.1029/2004JD004638, 2004.
  5. G. Pappalardo, A. Amodeo, L. Mona, M. Pandolfi, N. Pergola, and V. Cuomo, “Raman lidar observations of aerosol emitted during the 2002 Etna eruption”, Geophys. Res. Lett., 31, doi:10.1029/2003GL019073, 2004.

2003

  1. P. Di Girolamo, A. Amodeo, M. Pandolfi, G. Pappalardo, V. Cuomo, Lidar research activities in Potenza, Southern Italy, Annals of Geophysics, 46, N.2, 309-319, 2003.
  2. G. Pappalardo, A. Amodeo, S. Amoruso, L. Mona, M. Pandolfi, V. Cuomo, One year of tropospheric lidar measurements of aerosol extinction and backscatter, Annals of Geophysics, 46, N.2, 401-413, 2003.

2002

  1. S. Amoruso, A. Amodeo, M. Armenante, A. Boselli, L. Mona, M. Pandolfi, G. Pappalardo, R. Velotta, N. Spinelli, X. Wang, Development of a tunable IR lidar system, Optics and Laser in Engineering, 37, 2002, pp. 521-532.

2001

  1. S. De Martino, M. Falanga, L. Mona –Stochastic resonance mechanism in Aerosol Index dynamics – Physical Review Letters, 89, 12, 2002;
  2. D. N. Whiteman, G. Schwemmer, T. Berkoff, H. Plotkin, L. Ramos-Izquierdo, and G. Pappalardo, Performance modeling of an airborne Raman water vapor lidar, Appl. Opt. 40, No. 3, 375-390, 2001.
  3. P. F. Ambrico, P. Di Girolamo, L. Mona, M. Pandolfi, R. B. Husar – Satellite and Lidar Observation of Saharan Dust Outbreaks over the Mediterranean Basin, Journal of Aerosol Science, vol. 32, supplement 1, S395-S369, 2001.

2000

  1. J. Schneider, D. Balis, C. Bockmann, J. Bosenberg, B. Calpini, A.P. Chaikovsky, A. Comeron, P. Flamant, V. Freudenthaler, A. Hagard, I. Mattis, V. Mitev, A. Papayannis, G. Pappalardo, J. Pelon, M.R. Perrone, D.P. Resendes, N. Spinelli, T. Trickl, G. Vaughan, and G. Visconti, A European aerosol research lidar network to establish an aerosol climatology (EARLINET), J. Aerosol Sci., 31, Suppl. 1, 592-593, 2000.
  2. P. F. Ambrico, A. Amodeo, P. Di Girolamo, N. Spinelli, Sensitivity Analysis of differential absorption lidar measurements in the mid-infrared region, Appl. Opt. 39, N° 36, 6847 – 6865 (2000)
  3. Amodeo A., A. Boselli, L. Fiorani, G. Passeggio, R. Velotta, Innovative telescope for 3-D lidar measurements, Journal of Optoelectronics and Advanced Materials, vol. 2, N. 1 p. 73-81 (2000).

1999

  1. P.F. Ambrico, A. Amodeo, S. Amoruso, M. Armenante, A. Boselli, M. Pandolfi, G. Pappalardo, N. Spinelli, R. Velotta, Monitoring of an industrial area in Southern Italy by using a multiwavelength lidar, Optica Applicata 29, N° 4, 427-438, 1999.
  2. P. Di Girolamo, P. Ambrico, A. Amodeo, A. Boselli, G. Pappalardo, N. Spinelli, Aerosol observations in the nocturnal boundary layer,  Appl. Opt. 38, N° 21, 4585-4595 (1999).

1998

  1. V. Cuomo, P. Di Girolamo, G. Pappalardo, N. Spinelli, V. Berardi, M. Armenante, M.P. McCormick, Lidar in Space Technology Experiment correlative measurements by lidar in Potenza, southern Italy, Journal of Geophysical Research Vol. 103, No. D10, 11,455-11,463, 1998.

1997

  1. V. Cuomo, P. Di Girolamo, F. Esposito, G. Pappalardo, C. Serio, N. Spinelli, M. Armenante, B. Bartoli, V. Berardi, R. Bruzzese, C. Bellecci, G. E. Caputi, F. De Donato, P. Gaudio, M. Valentini, H. Melfi, M. P. McCormick, The LITE Correlative Measurements Campaign in Southern Italy: Preliminary Results, Applied Physics B, Vol. B 64, No. 5, 553-559, 1997.
  2. P. Ambrico, A. Amodeo, S. Amoruso, M. Armenante, V. Berardi, A. Boselli, R. Bruzzese, R. Capobianco, P. Di Girolamo, L. Fiorani, G. Pappalardo, N. Spinelli, R. Velotta, A multiparametric Lidar system spanning from UV to the mid IR, Laser und Optoelektronik 29, 62, 1997.

1996

  1. P. Di Girolamo, G. Pappalardo, N. Spinelli, V. Berardi, R. Velotta, Lidar observations of the stratospheric aerosol layer over southern Italy in the period 1991-1995, Journal of Geophysical Research, Vol. 101, No. D13, 18,765-18,773, 1996.

1995

  1. P. Di Girolamo, V. Cuomo, A. Boselli, R. V. Gagliardi, G. Pappalardo, R. Velotta, B. Bartoli, V. Berardi, N. Spinelli, Lidar measurements of atmospheric transmissivity, Il Nuovo Cimento, 18 C, N.2, 209-222, 1995.
  2. P. Di Girolamo, R. V. Gagliardi, G. Pappalardo, N. Spinelli, R. Velotta, and V. Berardi, Two-wavelength lidar analysis of stratospheric aerosol size distribution, Journal of Aerosol Science, Vol. 26, No. 6, 989-1001, 1995.