Publications

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

2023, Ratynski, M., Khaykin, S., Hauchecorne, A., Wing, R., Cammas, J.-P., Hello, Y., Keckhut, P., Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at Réunion island and the Observatoire de Haute-Provence, Atmospheric Measurement Techniques, 16, 997–1016, https://doi.org/10.5194/amt-16-997-2023,
Tags: Lidar, Validation, Wind

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, 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

2020, Khaykin, S., Hauchecorne A., Wing R., Keckhut P., Godin-Beekmann S., Porteneuve J., Mariscal J.-F., Schmitt J., Doppler lidar at Observatoire de Haute Provence for wind profiling up to 75 km altitude: performance evaluation and observations, Atmospheric Measurement Techniques, 13 (3), 1501-1516, https://doi.org/10.5194/amt-13-1501-2020
Tags: Lidar, Wind

2019, Zhou, M., Langerock, B., Sha, M. K., Kumps, N., Hermans, C., Petri, C., Warneke, T., Chen, H., Metzger, J.-M., Kivi, R., Heikkinen, P., Ramonet, M., and De Mazière, M, Retrieval of atmospheric CH4 vertical information from ground-based FTS near-infrared spectra, Atmospheric Measurement Techniques, 12, 6125–6141, https://doi.org/10.5194/amt-12-6125-2019
Tags: FTIR, XCO

2018, Rüfenacht, R., Baumgarten, G.; Hildebrand, J.; Schranz, F.; Matthias, V.; Stober, G.; Lübken, F.-J.; Kämpfer, N., Intercomparison of Middle-Atmospheric Wind in Observations and Models, Atmospheric Measurement Techniques, 11 (4), 1971-1987, https://doi.org/10.5194/amt-11-1971-2018
Tags: Microwave, Model, Wind

2017, Blanchard, Y., Alain Royer, Norman T. O'Neill, David D. Turner, and Edwin W. Eloranta, Thin ice clouds in the Arctic: cloud optical depth and particle size retrieved from ground-based thermal infrared radiometry, Atmospheric Measurement Techniques, 10, 2129–2147, https://doi.org/10.5194/amt-10-2129-2017
Tags: Clouds, FTIR, H2O

2016, Kiel, M., Frank Hase, Thomas Blumenstock, and Oliver Kirner, Comparison of XCO abundances from the Total Carbon Column Observing Network and the Network for the Detection of Atmospheric Composition Change measured in Karlsruhe, Atmospheric Measurement Techniques, 9, 2223–2239, https://doi.org/10.5194/amt-9-2223-2016
Tags: FTIR, XCO

2014, Rüfenacht, R., Murk, A.; Kämpfer, N.; Eriksson, P.; Buehler, S, Middle-Atmospheric Zonal and Meridional Wind Profiles from Polar, Tropical and Midlatitudes with the Ground-Based Microwave Doppler Wind Radiometer WIRA, Atmospheric Measurement Techniques, 7, 4491-4505, https://doi.org/10.5194/amt-7-4491-2014
Tags: Microwave, Wind