Publications

2022, Lauster, B., Dörner, S., Enell, C.-F., Frieß, U., Gu, M., Puķīte, J., Raffalski, U., and Wagner, T., Occurrence of polar stratospheric clouds as derived from ground-based zenith DOAS observations using the colour index, Atmospheric Chemistry and Physics, 22, 15925–15942, https://doi.org/10.5194/acp-22-15925-2022
Tags: Clouds, Polar, UVVis

2022, Eleftheratos, K., Kapsomenakis, J., Fountoulakis, I., Zerefos, C. S., Jöckel, P., Dameris, M., ... Liley, B. …& Douvis, K., Ozone, DNA-active UV radiation, and cloud changes for the near-global mean and at high latitudes due to enhanced greenhouse gas concentrations, Atmospheric Chemistry and Physics, 22(19), 12827-12855
Tags: Clouds, Ozone, Spectral UV

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, 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, Mariaccia, A., Keckhut P., Hauchecorne A., Claud C., Le Pichon A., Meftah M., Khaykin S., Assessment of ERA-5 Temperature Variability in the MiddleAtmosphere Using Rayleigh LiDAR Measurements between 2005 and 2020, Atmosphere, 13 (2), 242, http://doi.org/10.3390/atmos13020242
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, Jorge, T., S. Brunamonti, Y. Poltera, F. G. Wienhold, B. P. Luo, P. Oelsner, S. Hanumanthu, B. B. Sing, S. Körner, R. Dirksen, M. Naja, S. Fadnavis, and T. Peter, Understanding balloon-borne frost point hygrometer measurements after contamination by mixed-phase clouds, Atmospheric Measurement Techniques, 14(1), 239–268, https://doi.org/10.5194/amt-14-239-2021
Tags: Sonde, H2O, Clouds

2021, Gomez-Martin, L., Toledo, D.; Prados-Roman, C.; Adame, J.A.; Ochoa, H.; Yela, M., Polar Stratospheric Clouds Detection at Belgrano II Antarctic Station with Visible Ground-Based Spectroscopic Measurements, Remote Sensing, 13, 1412, https://doi.org/10.3390/rs13081412
Tags: UVVis, PSC, Clouds

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, Klanner, L., K. Höveler, D. Khordakova, M. Perfahl, C. Rolf, T. Trickl, H. Vogelmann, A powerful lidar system capable of one-hour measurements of water vapour in the troposphere and the lower stratosphere as well as the temperature in the upper stratosphere and mesosphere, Atmospheric Measurement Techniques, 14, 531–555, https://doi.org/10.5194/amt-14-531-2021
Tags: Lidar, Temperature, H2O