Publications

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, 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

2021, Rivera Cárdenas, C., Guarín, C., Stremme, W., Friedrich, M. M., Bezanilla, A., Rivera Ramos, D., Mendoza-Rodríguez, C. A., Grutter, M., Blumenstock, T., Hase, F., Formaldehyde total column densities over Mexico City: comparison between multi-axis differential optical absorption spectroscopy and solar-absorption Fourier transform infrared measurements, Atmospheric Measurement Techniques, 14, 595–613, https://doi.org/10.5194/amt-14-595-2021
Tags: CH2O, FTIR

2021, Wang, B., Kuang, S., Pfister, G. G., Pour-Biazar, A., Buchholz, R. R., Langford, A. O., & Newchurch, M. J. , Impact of the 2016 Southeastern US Wildfires on the Vertical Distribution of Ozone and Aerosol at Huntsville, Alabama, Journal of Geophysical Research: Atmospheres, 126(9), e2021JD034796, https://doi.org/10.1029/2021JD034796
Tags: Lidar, Fire, Ozone, Aerosol

2021, Yu, P., Sean M. Davis, Owen B. Toon, Robert W. Portmann, Charles G. Bardeen, John E. Barnes, Hagen Telg, Christopher Maloney and Karen H. Rosenlof, Persistent Stratospheric Warming Due to 2019–2020 Australian Wildfire Smoke, Geophysical Research Letters, 48, 7, https://doi.org/10.1029/2021GL092609
Tags: Lidar, Fire, Temperature

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, Su, J., McCormick, M. P., Johnson, M. S., Sullivan, J. T., Newchurch, M. J., Berkoff, T. A., ... & Gronoff, G. P., Tropospheric NO 2 measurements using a three-wavelength optical parametric oscillator differential absorption lidar, Atmospheric Measurement Techniques, 14(6), 4069-4082
Tags: Lidar, NO2

2021, Khodayar, S., Davolio, S., Di Girolamo, P., Lebeaupin Brossier, C., Flaounas, E., Fourrie, N., Lee, K.-O., Ricard, D., Vie, B., Bouttier, F., Caldas-Alvarez, A., and Ducrocq, V, Overview towards improved understanding of the mechanisms leading to heavy precipitation in the Western Mediterranean: lessons learned from HyMeX, Atmospheric Chemistry and Physics, 21, 17051–17078, https://doi.org/10.5194/acp-21-17051-2021
Tags: H2O, Lidar

2021, Landi, T.C., Bonasoni, P.; Brunetti, M.; Campbell, J.R.; Marquis, J.W.; Di Girolamo, P.; Lolli, S. , Aerosol Direct Radiative Effects under Cloud-Free Conditions over Highly-Polluted Areas in Europe and Mediterranean: A Ten-Years Analysis (2007–2016). , Remote Sensing, 13, 2933, https://doi.org/10.3390/rs13152933
Tags: Aerosol, Lidar

2021, Pini, F., Piras, G., Astiaso Garcia, D., and Di Girolamo, P., Impact of the different vehicle fleets on PM10 pollution: Comparison between the ten most populous Italian metropolitan cities for the year 2018, Science of the Total Environment, 773, 145524, https://doi.org/10.1016/j.scitotenv.2021.145524
Tags: Aerosol, Lidar