Publications

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

2022, Khaykin, S.A., A. Podglajen, F. Ploeger, J. Grooß, F. Tence, S. Bekki, K. Khlopenkov, K. Bedka, L. Rieger, A. Baron, S. Beekmann, B. Legras, P. Sellitto, T. Sakai, J. Barnes, O. Uchino, I. Morino, T. Nagai, R. Wing, G. Baumgarten, M. Gerding, V. Duflot, G. Payen, J. Jumelet, R. Querel, B., A. Bourassa, B. Clouser, A. Feofilov, A. Hauchecorne, and F. Ravetta , Global perturbation of stratospheric water and aerosol burden by Hunga eruption, Communications Earth Environment, 3, 316, https://doi.org/10.1038/s43247-022-00652-x
Tags: Aerosol, H2O, Lidar, Volcano

2022, Ardalan, M., Keckhut P., Hauchecorne A., Wing R., Meftah M., Farhani G., Updated Climatology of Mesospheric Temperature Inversions Detected by Rayleigh Lidar above Observatoire de Haute Provence, France, Using a K-Mean Clustering Technique, Atmosphere, 13 (5), pp.814, https://doi.org/10.3390/atmos13050814
Tags: Lidar, Temperature

2022, Di Paolantonio, M., Dionisi, D., and Liberti, G. L., A semi-automated procedure for the emitter–receiver geometry characterization of motor-controlled lidars, Atmospheric Measurement Techniques, 15, 1217–1231, https://doi.org/10.5194/amt-15-1217-2022
Tags: 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

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, 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, 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, Trieu, T.T.N., I. Morino, O. Uchino, Y. Tsutsumi, T. Sakai, T. Nagai, A. Yamazaki, H. Okumura, K. Arai, K. Shiomi, D.F. Pollard, B. Liley , Influences of aerosols and thin cirrus clouds on GOSAT XCO2 and XCH4 using Total Carbon Column Observing Network, sky radiometer, and lidar data, International Journal of Remote Sensing, 43:5, 1770-1799, https://doi.org/10.1080/01431161.2022.2038395
Tags: Aerosol, Clouds, FTIR, Lidar, Satellite, UVVis, XCH4, XCO2

2022, Sullivan, J., A. Apituley, N. Mettig, K. Kreher, K.E. Knowland, M. Allart, A. Piters et al., Tropospheric and Stratospheric Ozone Profiles during the 2019 TROpomi vaLIdation eXperiment (TROLIX-19), Atmospheric Chemistry and Physics, 22, 11137–11153, https://doi.org/10.5194/acp-22-11137-2022
Tags: Lidar, Ozone, Satellite, Validation