Publications

2023, 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 Sensing, 15, 1381, https://doi.org/10.3390/rs15051381
Tags: Lidar

2023, Cairo, F., Deshler, T., Di Liberto, L., Scoccione, A., Snels, M., A study of optical scattering modelling for mixed-phase polar stratospheric clouds, Atmospheric Measurement Techniques, 16, 419–43, https://doi.org/10.5194/amt-16-419-2023
Tags: Clouds, Lidar

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, Le Du, T., Keckhut P., Hauchecorne A., Simoneau P., Observation of Gravity Wave Vertical Propagation through a Mesospheric Inversion Layer, Atmosphere, 13 (7), pp.1003, https://doi.org/10.3390/atmos13071003
Tags: Lidar, Temperature

2022, Karagkiozidis, D., Friedrich, M. M., Beirle, S., Bais, A., Hendrick, F., Voudouri, K. A., Fountoulakis, I., Karanikolas, A., Tzoumaka, P., Van Roozendael, M., Balis, D., and Wagner, T., Retrieval of tropospheric aerosol, NO2, and HCHO vertical profiles from MAX-DOAS observations over Thessaloniki, Greece: intercomparison and validation of two inversion algorithms, Atmospheric Measurement Techniques, 15, 1269–1301, https://doi.org/10.5194/amt-15-1269-2022
Tags: Aerosol, Algorithm, CalVal, HCHO, NO2, UVVis

2022, Ancellet, G., Godin-Beekmann S., Smit H., Stauffer R., van Malderen R., Bodichon R., Pazmino A., Homogenization of the Observatoire de Haute Provence electrochemical concentration cell (ECC) ozonesonde data record: comparison with lidar and satellite observations, Atmospheric Measurement Techniques, 15 (10), pp.3105-3120, https://doi.org/10.5194/amt-15-3105-2022
Tags: Lidar, Ozone, Satellite, Sonde

2022, Zeng, X., Wang, W., Liu, C., Shan, C., Xie, Y., Wu, P., Zhu, Q., Zhou, M., De Mazière, M., Mahieu, E., Pardo Cantos, I., Makkor, J., and Polyakov, A., Retrieval of atmospheric CFC-11 and CFC-12 from high-resolution FTIR observations at Hefei and comparisons with other independent datasets, Atmospheric Measurement Techniques, 15, 6739–6754, https://doi.org/10.5194/amt-15-6739-2022
Tags: CFC, FTIR, Validation

2022, Pardo Cantos, I., E. Mahieu, M. P. Chipperfield, D. Smale, J. W. Hannigan, M. Friedrich, P. Fraser, P.Krummel, M. Prignon, J. Makkor, C. Servaisj and J. Robinson, Determination and analysis of time series of CFC-11 (CCl3F) from FTIR solar spectra, in situ observations, and model data in the past 20 years above Jungfraujoch (46°N), Lauder (45°S), and Cape Grim (40°S) stations, Environmental Sciences, 2, 1487-1501, https://doi.org/10.1039/D2EA00060A
Tags: CFC, FTIR, Model

2022, Mariaccia, A., Keckhut P., Hauchecorne A. , Classification of Stratosphere Winter Evolutions Into Four Different Scenarios in the Northern Hemisphere, Journal of Geophysical Research: Atmospheres, 127 (13), pp.e2022JD036662, https://doi.org/10.1029/2022jd036662
Tags: Lidar, Temperature

2022, Chang, K., Cooper O., Gaudel A., Allaart M., Ancellet G., Clark H., Godin-Beekmann S., Leblanc T., van Malderen R., Nédélec P., Petropavlovskikh I. et al., Impact of the COVID‐19 Economic Downturn on Tropospheric Ozone Trends: An Uncertainty Weighted Data Synthesis for Quantifying Regional Anomalies Above Western North America and Europe, AGU Advances, 3 (2), pp.e2021AV000542, https://dx.doi.org/10.1029/2021av000542
Tags: COVID, Lidar, Ozone, Trends