Publications

2022, Di Girolamo, P., F. Pini, G. Piras, The effect of COVID-19 on the distribution of PM10 pollution classes of vehicles: Comparison between 2020 and 2018, Science of the Total Environment, 811, 152036
Tags: Aerosol, Lidar

2022, Whiteman, D.N., Di Girolamo P., Behrendt A., Wulfmeyer V. and Franco N., Statistical Analysis of Simulated Spaceborne Thermodynamics Lidar Measurements in the Planetary Boundary Layer, Frontiers in Earth Science, 3:810032, https://doi.org/10.3389/frsen.2022.810032
Tags: Lidar, Temperature

2022, 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
Tags: Aerosol, CalVal, Lidar

2022, Summa, D., F. Madonna, N. Franco, B. De Rosa, and P. Di Girolamo , Inter-comparison of atmospheric boundary layer (ABL) height estimates from different profiling sensors and models in the framework of HyMeX-SOP1, Atmospheric Measurement Techniques, 15, 4153–4170, https://doi.org/10.5194/amt-15-4153-2022
Tags: Lidar, Model

2021, Marlton, G., et al., Using a network of temperature lidars to identify temperature biases in the upper stratosphere in ECMWF reanalyses, Atmospheric Chemistry and Physics, 21(8), 6079–6092, https://doi.org/10.5194/acp-21-6079-2021
Tags: Lidar, Model, Temperature

2021, Tu, Q., F. Hase, T. Blumenstock, M. Schneider, A. Schneider, R. Kivi, P. Heikkinen, B. Ertl, C. Diekmann, F. Khosrawi, M. Sommer, T. Borsdorff, and U. Raffalski, Intercomparison of arctic xh2o observations from three ground-based Fourier transform infrared networks and application for satellite validation, , Atmospheric Measurement Techniques, 14(3), 1993-2011, https://doi.org/10.5194/amt-14-1993-2021
Tags: FTIR, Polar, Satellite, Sonde, XH2O

2021, Mettig, N., Weber, M., Rozanov, A., Arosio, C., Burrows, J. P., Veefkind, P., Thompson, A. M., Querel, R., Leblanc, T., Godin-Beekmann, S., Kivi, R., and Tully, M. B., Ozone profile retrieval from nadir TROPOMI measurements in the UV range, Atmospheric Measurement Techniques, 14, 6057–6082, https://doi.org/10.5194/amt-14-6057-2021
Tags: Lidar, Ozone, Satellite, Sonde

2021, Di Natale, G., Barucci, M., Belotti, C., Bianchini, G., D'Amato, F., Del Bianco, S., Gai, M., Montori, A., Sussmann, R., Viciani, S., Vogelmann, H., and Palchetti, L., Comparison of mid-latitude single- and mixed-phase cloud optical depth from co-located infrared spectrometer and backscatter lidar measurements, Atmospheric Measurement Techniques, 14, 6749–6758, https://doi.org/10.5194/amt-14-6749-2021
Tags: Clouds, FTIR, Lidar

2021, Wing, R., S. Godin-Beekmann, W. Steinbrecht, T.J. Mcgee, J.T. Sullivan, S. Khaykin, G. Sumnicht, and L. Twigg, Evaluation of the new DWD ozone and temperature lidar during the Hohenpeißenberg Ozone Profiling Study (HOPS) and comparison of results with previous NDACC campaigns, Atmospheric Measurement Techniques, 14(5), 3773-3794, https://doi.org/10.5194/amt-14-3773-2021
Tags: Lidar, Ozone, Temperature, Validation

2021, Martucci, G., Navas-Guzmán, F., Renaud, L., Romanens, G., Gamage, S. M., Hervo, M., Jeannet, P., and Haefele, A., Validation of pure rotational Raman temperature data from the Raman Lidar for Meteorological Observations (RALMO) at Payerne, Atmospheric Measurement Techniques, 14, 1333–1353, https://doi.org/10.5194/amt-14-1333-2021
Tags: Lidar, Temperature